Open Access Theses and Dissertations

Thursday, April 18, 8:20am (EDT): Searching is temporarily offline. We apologize for the inconvenience and are working to bring searching back up as quickly as possible.

Advanced research and scholarship. Theses and dissertations, free to find, free to use.

Advanced search options

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in any language English Portuguese French German Spanish Swedish Lithuanian Dutch Italian Chinese Finnish Greek Published in any country US or Canada Argentina Australia Austria Belgium Bolivia Brazil Canada Chile China Colombia Czech Republic Denmark Estonia Finland France Germany Greece Hong Kong Hungary Iceland India Indonesia Ireland Italy Japan Latvia Lithuania Malaysia Mexico Netherlands New Zealand Norway Peru Portugal Russia Singapore South Africa South Korea Spain Sweden Switzerland Taiwan Thailand UK US Earliest date Latest date

Sorted by Relevance Author University Date

Only ETDs with Creative Commons licenses

Results per page: 30 60 100

October 3, 2022. OATD is dealing with a number of misbehaved crawlers and robots, and is currently taking some steps to minimize their impact on the system. This may require you to click through some security screen. Our apologies for any inconvenience.

Recent Additions

See all of this week’s new additions.

phd thesis data center

About OATD.org

OATD.org aims to be the best possible resource for finding open access graduate theses and dissertations published around the world. Metadata (information about the theses) comes from over 1100 colleges, universities, and research institutions . OATD currently indexes 6,948,050 theses and dissertations.

About OATD (our FAQ) .

Visual OATD.org

We’re happy to present several data visualizations to give an overall sense of the OATD.org collection by county of publication, language, and field of study.

You may also want to consult these sites to search for other theses:

  • Google Scholar
  • NDLTD , the Networked Digital Library of Theses and Dissertations. NDLTD provides information and a search engine for electronic theses and dissertations (ETDs), whether they are open access or not.
  • Proquest Theses and Dissertations (PQDT), a database of dissertations and theses, whether they were published electronically or in print, and mostly available for purchase. Access to PQDT may be limited; consult your local library for access information.

Open Access Theses and Dissertations

Direct Link

Librarians/Admins

  • EBSCOhost Collection Manager
  • EBSCO Experience Manager
  • EBSCO Connect
  • Start your research
  • EBSCO Mobile App

Clinical Decisions Users

  • DynaMed Decisions
  • Dynamic Health
  • Waiting Rooms
  • NoveList Blog

EBSCO Open Dissertations

EBSCO Open Dissertations makes electronic theses and dissertations (ETDs) more accessible to researchers worldwide. The free portal is designed to benefit universities and their students and make ETDs more discoverable. 

Increasing Discovery & Usage of ETD Research

EBSCO Open Dissertations is a collaboration between EBSCO and BiblioLabs to increase traffic and discoverability of ETD research. You can join the movement and add your theses and dissertations to the database, making them freely available to researchers everywhere while increasing traffic to your institutional repository. 

EBSCO Open Dissertations extends the work started in 2014, when EBSCO and the H.W. Wilson Foundation created American Doctoral Dissertations which contained indexing from the H.W. Wilson print publication, Doctoral Dissertations Accepted by American Universities, 1933-1955. In 2015, the H.W. Wilson Foundation agreed to support the expansion of the scope of the American Doctoral Dissertations database to include records for dissertations and theses from 1955 to the present.

How Does EBSCO Open Dissertations Work?

Your ETD metadata is harvested via OAI and integrated into EBSCO’s platform, where pointers send traffic to your IR.

EBSCO integrates this data into their current subscriber environments and makes the data available on the open web via opendissertations.org .

You might also be interested in:

academic search ultimate web thumbnail

  • DSpace@MIT Home
  • MIT Libraries

Doctoral Theses

Theses by department.

  • Computational and Systems Biology
  • Department of Aeronautics and Astronautics
  • Department of Architecture
  • Department of Biological Engineering
  • Department of Biology
  • Department of Brain and Cognitive Sciences
  • Department of Chemical Engineering
  • Department of Chemistry
  • Department of Civil and Environmental Engineering
  • Department of Earth, Atmospheric, and Planetary Sciences
  • Department of Economics
  • Department of Electrical Engineering and Computer Sciences
  • Department of Humanities
  • Department of Linguistics and Philosophy
  • Department of Materials Science and Engineering
  • Department of Mathematics
  • Department of Mechanical Engineering
  • Department of Nuclear Science and Engineering
  • Department of Ocean Engineering
  • Department of Physics
  • Department of Political Science
  • Department of Urban Studies and Planning
  • Engineering Systems Division
  • Harvard-MIT Program of Health Sciences and Technology
  • Institute for Data, Systems, and Society
  • Media Arts & Sciences
  • Operations Research Center
  • Science, Technology & Society
  • Sloan School of Management
  • Technology and Policy Program

Recent Submissions

Thumbnail

Low Earth Orbit Spacecraft Slotting: Towards an Implementable Proposal 

Thumbnail

Defining Key Engineering Parameters to Advance Electrochemical CO₂ Separation Technologies 

Thumbnail

Equivariant quantum connections in positive characteristic 

Show Statistical Information

feed

  • Harvard Library
  • Research Guides
  • Faculty of Arts & Sciences Libraries

Research Guide for CES Visiting Scholars

  • Dissertations & Theses
  • HOLLIS (and other) Catalogs
  • Finding Primary Sources Online
  • Outline of Primary Sources for History
  • Periodicals/Articles
  • Policy Reports
  • Foreign Government & International Organization Documents
  • News Sources

Dissertations

General sources, german, dutch, and scandinavian dissertations, electronic dissertations.

  • Statistics/Data
  • Archives and Manuscripts
  • Visual Resources
  • Other Collections at Harvard
  • Research Centers
  • Citing Sources & Organizing Research

This page lists resources for dissertations (general and RLL-related) along with information on electronic dissertations. In general, Harvard's Interlibrary Loan service cannot obtain dissertations; in many cases you'll need to acquire directly from the institution where the work was submitted. 

To find doctoral dissertations from North American universities and some European institutions, search:

Dissertations and Theses Full Text

This is the largest database with 2.7 million citations for Masters and PhD dissertations. Full text for most dissertations from 1997 on (at this writing, 1.2 million full text dissertations available for download in PDF format). Hosted by ProQuest. Use Harvard's Get It Interlibrary Loan link to request print dissertations.

  Harvard dissertations and theses

As above, most of these from 1997 are available via ProQuest.

Havard dissertations and theses since 2012 are also available in our online repository, DASH , and in HOLLIS. If a dissertation from 2012 forward is not available in full text, the author has placed an embargo on it (up to 5 years) and the library won't be able to obtain it, but you may be able to ask the author.

Use Harvard's Interlibrary Loan to obtain any theses and dissertations found by searching

Center for Research Libraries Catalog: Dissertations

Request item through Get It (ILL link)

To find print sources, search HOLLIS Classic: Subject beginning with... e.g. Dissertations, Academic--France--Bibliography.

dissonline.de Search for German and Swiss electronic dissertations and "Habilitationen." For dissertations that have not been digitized, search the catalog of the Deutsche Nationalbibliothek .

Gegnir (IS) Click on "Námsritgerðir" (Icelandic interface) or "Thesis search" (English interface) to limit to dissertations.

HELKA (FI) Select the Advanced Search and "Väitöskirja/Dissertation or Thesis" from the search box.

Det Kongelige Bibliotek/The Danish Royal Library (DK) Search on "thesis," "dissertation," or "afhandling" (the latter if you want dissertations in Danish) together with your search terms.

Libris (SE) Select "Dissertations" under "Type of publication" box to limit your search to dissertations.

Nasjonalbiblioteket (NO) Select "Post graduate theses" in the search box to limit your search to dissertations.

National Academic Research and Collaborations Information System (NARCIS): Promise of Science   (NL) The "Promise of Science" provides access to over 21,000 full-text doctoral e-theses from all Dutch universities. It is a subset of NARCIS and DAREnet. Dates of coverage vary, but dissertations are mostly from recent years.

Österreichische Dissertationsdatenbank (AU) This database references over 55,000 dissertations and theses held at Austrian Universities; select dissertations are available online.

Ongoing research and development in the e-sphere:

Networked Digital Library of Theses and Dissertations (NDLTD) , an inter national organization dedicated to promoting the adoption, creation, use, dissemination, and preservation of electronic theses and dissertations (ETDs).

The Guide for Electronic Theses and Dissertations A wiki maintained by the NDLTD ETD Revision Team. Addresses issues for submission and administration of e-dissertations, whether born-digital or digital versions of print documents.

The European Working Group of the NDLTD is the DART-Europe E-theses Portal (DEEP). Intended to be the single European portal for dissertations, DART-Europe is a collaboration of research libraries and library consortia, endorsed by LIBER (Ligue des Bibliothèques Européennes de Recherche).

  • << Previous: News Sources
  • Next: Biography >>
  • Last Updated: Jul 2, 2024 4:29 PM
  • URL: https://guides.library.harvard.edu/ces

Harvard University Digital Accessibility Policy

Logo

Shodhganga Mirror Site https://sg.inflibnet.ac.in -->

  • About Shodhganga
  • Why Join Shodhganga ?
  • Responsibilities
  • Data Format
  • Type of Access
  • MoU with Universities 794
  • MoU with CFTI 106
  • e-INDIA Award
  • Shodhganga In News
  • Shodhganga Album
  • Universities & Departments
  • Upload Date
  • Researcher/Guide
  • AICTE/P& AP/Misc/2022_23.12.2022
  • UGC Notification PhD Amendment Nov 2022
  • MoE D.O. No. 31-5/2022-TS-II_CFTIs/CUs_30.11.2022
  • UGC D.O.No.2-10/2021 (CPP-II)_22.12.2021
  • Min. of Education (MoE)-TS.II_CFTIs - 2021
  • Self Plagiarism-UGC Public Notice - 2020
  • UGC Notification for Plagiarism - 2018
  • M.Phil/Ph.D Amendment - 2018
  • M.Phil/Ph.D Regulation - 2016
  • M.Phil/Ph.D Regulation - 2009 (Old)
  • UGC Guidelines for Shodhganga
  • Shodhganga Questionnaire for Fund
  • User Guide and Tutorial
  • APS Video & Guide
  • Awareness Guidelines
  • How to Submit?
  • How to Convert PDF?
  • How to Cite?
  • Thesis Template
  • User's Guide (ebook)
  • Other Indian ETDs
  • Download MoU
  • Download MoU for INI
  • Application Form for Fund
  • Shodhganga User
  • University Coordinator
  • Administrator
  • Shodhganga Dashboard
  • Universities
  • User Registration

darkblurbg

http://shodhganga.inflibnet.ac.in/jspui/handle/10603/ Shodhganga Membership is not for Colleges.

MRPs/PDFs/Fellowships Reports

A reservoir of Indian Theses

The Shodhganga@INFLIBNET Centre provides a platform for research students to deposit their Ph.D. theses and make it available to the entire scholarly community in open access. The repository has the ability to capture, index, store, disseminate and preserve ETDs submitted by the researchers. [Read More]

  • Latest Updates

Webinar on "An Overview of Research Ethics & Plagiarism Issues" organized by INFLIBNET Centre on 03 June 2020 at 11.30 AM - 01.00 PM. Registration | Brochure

Webinar on "Introduction to ETDs & Shodhganga / Shodhgangotri" organized by INFLIBNET Centre on 05 June 2020 at 11.30 AM - 01.00 PM. Registration | Brochure

Webinar on "Introduction to PDS and ShodhShuddhi" organized by INFLIBNET Centre on 12 June 2020 at 11.30 AM - 01.00 PM. Registration | Brochure

Three Days Online Advanced Training Programme on Shodhganga and Plagiarism Issues organized by INFLIBNET Centre during 25th - 27th November 2020. More Details || Apply Online

Three Days Training (Offline Mode) on Research Methodology and Ethics: Plagiarism Issues, Reference Management Tools and Altmetrics 10th-12th April, 2023 Registration

Three Days Training Programme on "Research Methodology and Ethics: Plagiarism Issues, Reference Management Tools and Altmetrics" at the INFLIBNET Centre, Gandhinagar during 20-22 May 2024. Registration Download Brochure

IISc Bangalore and 55 CFTIs like IITs,IIMs,NITs etc. have joined Shodhganga.

Restricted Dashboard and Subject Portal is released in January 2020.

As of May 29th, 2024, Parul University has contributed 100 % Theses (196) to the Shodhganga.

Three Days Advanced Training Programme on Shodhganga and Plagiarism Issues (offline mode) during 28th - 30th August 2024. Registration Download Brochure

New University added & UC created 769. Maganbhai Adenwala Mahagujarat University (Prof Dr Krup Vasavda) 783. Shri Rawatpura Sarkar University (Mr Sachin Kumar Diwan) MoU List

Shodhganga Membership is not for Colleges. Read More.

Shodhganga crossed 5,35,000 Theses on 27th May 2024.

5,00,000th Thesis is uploaded into Shodhganga by Prof Yogesh Singh, Hon'ble Chairman, Governing Board, INFLIBNET Centre & Vice Chancellor, University of Delhi, Delhi in the august presence of Prof J P Singh Joorel, Director, INFLIBNET Centre, Gandhinagar and other Governing Board Members on 14.12.2023.

All the Theses (CDs) received from Universities were successfully uploaded into Shodhganga Portal till December 2023.

ETD 2023 successfully concluded. Please visit at etd2023.inflibnet.ac.in for more details.

Creation of Metadata and Uploading Theses into Shodhganga for more details

Plagiarism Detection Software under ShodhShuddhi is provided to all 1100+ Universities/Institutions.

UGC (Promotion of Academic Integrity and Prevention of Plagiarism in Higher Educational Institutions) Regulations, 2018. UGC Letter / Regulation

The NDLTD Leadership Award 2017 was conferred to Shodhganga Team leaders during August 7 - 9, 2017 at Washington, DC. The Award is instituted by the Networked Digital Library of Theses and Dissertations (NDLTD) since 2004. More Details

Edushine Excellence Award - 2019 presented to INFLIBNET Centre by Sh. Suresh Prabhu, Hon'ble Minister for Commerce & Industry and Civil Aviation, Government of India.

Theses received at the Centre till 30th November 2020 have been uploaded.

770+ Universities started contributing Theses Repository.

885+ Universities+CFTIs/INIs Signed MoU.

  • Universities Contributed in Shodhganga
  • ShodhShuddhi
  • Shodhgangotri

Anna University 16265

University of madras 15082, university of calcutta 14403, savitribai phule pune university 12940, university of mumbai 11853, andhra university 10466, aligarh muslim university 10349, chhatrapati sahuji maharaj university 10200, babasaheb bhimrao ambedkar bihar university 9675, panjab university 9550, abhilashi university 21, academy of scientific and innovative research (acsir) 2772, acharya nagarjuna university 2318, acharya narendra deva university of agriculture and technology, ayodhya 924, adamas university 45, adesh university 26, adichunchanagiri university, mandya 9, adikavi nannaya university, rajahmundry 58, agriculture university, jodhpur 3, agriculture university, kota 13, ahmedabad university 23, ajeenkya dy patil university 2, aks university 30, alagappa university 2477, alliance university 53, all india institute of medical science, bhopal 1, all india institute of medical sciences rishikesh 7, ambedkar university, delhi 60, amet university 141, amity university haryana 212, amity university, kolkata 2, amity university madhya pradesh 63, amity university, mumbai 32, amity university, noida 1215, amity university rajasthan 233, amrita vishwa vidyapeetham university 604, anand agricultural university 122, annamalai university 3244, apeejay stya university 23, apex university, rajasthan 41, a p goyal shimla university 15, apj abdul kalam technological university, thiruvananthapuram 53, arka jain university 11, arni university 8, arunachal university of studies 2, arunodaya university 4, aryabhatta knowledge university 36, ashoka university 1, assam agricultural university 151, assam don bosco university 123, assam down town university 86, assam rajiv gandhi university of cooperative management 2, assam science and technology university 12, assam university 2298, atal bihari vajpayee indian institute of information technology and management 103, atal bihari vajpayee vishwavidyalaya 5, atmiya university 20, auro university 1, avinashilingam institute for home science and higher education for women 727, awadhesh pratap singh university 1011, baba ghulam shah badshah university 100, baba mastnath university 118, babasaheb bhimrao ambedkar university 536, babu banarasi das university 149, baddi university of emerging sciences & technology 7, bahra university 5, banaras hindu university 8334, banasthali vidyapith 2285, bangalore university 2578, bankura university 31, bareilly international university 14, barkatullah university 422, bennett university 42, berhampur university 239, bhagat phool singh mahila vishwavidyalaya 140, bhagwan mahavir university 27, bhagwant university 323, bhaikaka university 3, bhakta kavi narsinh mehta university 119, bharathiar university 7648, bharathidasan university 8301, bharath institute of higher education and research 718, bharati vidyapeeth deemed university 670, bhartiya skill development university jaipur 20, bhupendra narayan mandal university 5, bihar agricultural university 89, birla institute of management technology 11, birla institute of technology and science 1630, birla institute of technology, mesra 184, blde (deemed to be university) 54, bml munjal university, gurugram 7, bodoland university 110, brainware university 36, b s abdur rahman crescent institute of science & technology 321, bundelkhand university 2213, calorx teachers university 2, career point university 30, central institute of technology kokrajhar 19, central sanskrit university 374, central university of gujarat 360, central university of haryana 95, central university of himachal pradesh 131, central university of jammu 126, central university of jharkhand 87, central university of karnataka 157, central university of kashmir 264, central university of kerala 173, central university of odisha 36, central university of punjab 200, central university of rajasthan 275, central university of south bihar 39, central university of tamil nadu 121, centurion university of technology and management 95, centurion university of technology and management, vizianagaram 0, cept university 82, chaitanya university, hanamkonda 33, chanakya national law university 1, chandigarh university 135, chandra shekhar azad university of agriculture and technology 130, charotar university of science and technology 169, chaudhary charan singh university 3144, chaudhary devi lal university 289, chaudhary ranbir singh university 19, chaudhary sarwan kumar himachal pradesh krishi vishvavidyalaya 406, chettinad academy of research and education 175, chhatrapati shivaji maharaj university 4, chhattisgarh swami vivekanand technical university 149, childrens university 19, chitkara university 31, chitkara university, punjab 328, christ university 392, cmj university 3, cmr university 51, cochin university of science & technology 2789, cooch behar panchanan barma university 34, cotton university 41, ct university 77, c.u. shah university 202, c.v. raman global university 30, damodaram sanjivayya national law university 1, datta meghe institute of medical sciences 232, davangere university 145, dav university 32, dayalbagh educational institute 1231, dayananda sagar university 55, deccan college post graduate and research institute 432, deenbandhu chhotu ram university of science and technology, sonipat 193, deen dayal upadhyay gorakhpur university 841, defence institute of advanced technology 44, delhi pharmaceutical sciences & research university (dpsru) 20, delhi technological university 513, desh bhagat university 246, devi ahilya vishwavidyalaya 2298, dev sanskriti vishwavidyalaya 13, dharmsinh desai university 24, dhirubhai ambani institute of information and communication technology (da-iict) 77, diamond harbour women's university 12, dibrugarh university 986, dit university 96, doon university 56, dr. a.p.j. abdul kalam technical university 416, dravidian university 58, dr. babasaheb ambedkar marathwada university 5607, dr. babasaheb ambedkar open university 186, dr. babasaheb ambedkar technological university 59, dr. bhimrao ambedkar university, agra 6008, dr b r ambedkar national institute of technology jalandhar 109, dr. b. r. ambedkar open university, hyderabad 1, dr. c.v. raman university 319, dr. d. y. patil vidyapeeth, pune 167, dr. harisingh gour vishwavidhyalay 2310, dr. k n modi university 28, dr. m.g.r. educational and research institute 512, dr. panjabrao deshmukh krishi vidyapeeth, akola 50, dr. rammanohar lohia avadh university, faizabad 4640, dr ram manohar lohiya national law university 62, dr. sarvepalli radhakrishnan rajasthan ayurved university 191, dr shakuntala misra national rehabilitation university 76, dr. shyama prasad mukherjee international institute of information technology naya raipur 9, dr. vishwanath karad mit world peace university 28, dr. y.s. parmar university of horticulture and forestry 177, dr.y.s.r. horticultural university 24, d.y. patil university 1, d y patil university, kolhapur 68, entrepreneurship development institute of india 1, eternal university 7, fakir mohan university, balasore 171, forest research institute university 350, galgotias university 92, gangadhar meher university 88, ganpat university 173, garden city university 8, gauhati university 6366, gautam buddha university 242, g.b.pant university of agriculture & technology 172, gd goenka university 127, geetanjali university 44, g h raisoni university, amravati 23, giet university, gunupur 25, gitam university 954, gla university 234, glocal university 155, gls university 145, gna university 27, goa university 1154, gokhale institute of politics and economics 31, gokul global university 2, gondwana university 182, graphic era hill university dehradun 17, graphic era university 159, gujarat ayurveda university 5, gujarat forensic sciences university 26, gujarat national law university 23, gujarat technological university 369, gujarat university 4576, gujarat vidyapith 625, gulbarga university 1130, guru angad dev veterinary and animal sciences university 5, guru ghasidas university 353, guru gobind singh indraprastha university 640, guru jambheshwar university of science & technology 684, guru kashi university 368, gurukul kangri vishwavidyalaya 411, guru nanak dev university 2047, harcourt butler technical university 23, hemchandracharya north gujarat university 586, hemchand yadav vishwavidyalaya 60, hemwati nandan bahuguna garhwal university 974, himachal pradesh national law university 3, himachal pradesh university 3163, himalayan garhwal university 64, himgiri zee university 37, hindustan institute of technology and science 327, homi bhabha national institute 2576, homoeopathy university 26, icfai foundation for higher education, telangana 94, icfai university, dimapur nagaland 25, icfai university himachal pradesh 5, icfai university, jaipur 17, icfai university, jharkhand 45, icfai university, tripura 15, iec university 21, iftm university 303, iilm university, gurugram 14, iimt university, meerut 21, iis (deemed to be university) 450, i k gujral punjab technical university 863, ims unison university 15, indian institute of engineering science and technology, shibpur 450, indian institute of foreign trade 76, indian institute of information technology, allahabad 204, indian institute of information technology, design and manufacturing, iiitdm jabalpur 144, indian institute of information technology design & manufacturing kancheepuram 70, indian institute of information technology dharwad 2, indian institute of information technology guwahati 21, indian institute of information technology kalyani 9, indian institute of information technology nagpur 3, indian institute of informationtechnology, vadodara 1, indian institute of management ahmedabad 15, indian institute of management bangalore 47, indian institute of management (iim),indore 38, indian institute of management kashipur 21, indian institute of management kozhikode 27, indian institute of management lucknow 104, indian institute of management mumbai (formerly nitie) 72, indian institute of management raipur 47, indian institute of management rohtak 6, indian institute of management shillong 16, indian institute of management udaipur 1, indian institute of science bangalore 1349, indian institute of science education and research (iiser) bhopal 50, indian institute of science education and research (iiser) mohali 356, indian institute of science education and research (iiser) pune 521, indian institute of science education and research (iiser) thiruvananthapuram 210, indian institute of science education and research kolkata 105, indian institute of space science and technology 184, indian institute of teacher education 10, indian institute of technology bhilai 17, indian institute of technology bhubaneswar 76, indian institute of technology bombay 1755, indian institute of technology delhi 2305, indian institute of technology dharwad 9, indian institute of technology gandhinagar 39, indian institute of technology goa 3, indian institute of technology guwahati 2581, indian institute of technology hyderabad 290, indian institute of technology iit (bhu), varanasi 985, indian institute of technology indore 399, indian institute of technology (ism), dhanbad 1055, indian institute of technology jammu 23, indian institute of technology jodhpur 149, indian institute of technology kanpur 8, indian institute of technology kharagpur 853, indian institute of technology madras 1608, indian institute of technology mandi 264, indian institute of technology palakkad 16, indian institute of technology patna 148, indian institute of technology roorkee 510, indian institute of technology ropar 219, indian institute of technology tirupati 11, indian maritime university 1, indian school of mines 53, indian veterinary research institute, izatnagar 447, indira gandhi delhi technical university for women 59, indira gandhi institute of development research 105, indira gandhi national open university ignou 976, indira gandhi national tribal university, amarkantak 155, indira gandhi university meerpur,rewari 47, indira kala sangeet vishwavidyalaya 132, indraprastha institute of information technology, delhi (iiit-delhi) 141, indrashil university 7, indus international university 7, indus university 48, institute of advanced research, gandhinagar 14, institute of advanced studies in education (iase) 191, institute of chemical technnology, mumbai 107, institute of infrastructure technology research and management 35, institute of trans-disciplinary health science & technology 34, integral university 635, international institute for population sciences iips 366, international institute of information technology bangalore 66, international institute of information technology, hyderabad 194, international management institute 9, international management institute kolkata 2, invertis university, bareily 1, isbm university 1, isbr business school 1, islamic university of science and technology 49, itm university, gwalior 28, jadavpur university 4011, jagadguru ramanadacharya rajasthan sanskrit university 2, jagannath university 212, jagannath university, jhajjar 69, jagran lakecity university 33, jai narain vyas university 609, jain university 768, jain vishwa bharati university 246, jai prakash vishwavidyalaya 3, jaipur national university 350, jamia hamdard university 949, jamia milia islamia university 2567, janardan rai nagar rajasthan vidhyapeeth 1, jawaharlal nehru architecture and fine arts university 9, jawaharlal nehru centre for advanced scientific research 42, jawaharlal nehru krishi vishwavidyalaya, jabalpur 2, jawaharlal nehru technological university, anantapuram 1336, jawaharlal nehru technological university, hyderabad 1475, jawaharlal nehru technological university, kakinada 310, jawaharlal nehru university 7825, jayoti vidyapeeth women s university 327, jaypee institute of information technology 344, jaypee university of engineering & technology, guna 122, jaypee university of information technology, solan 282, j. c. bose university of science and technology, ymca, faridabad 67, jecrc university 89, jharkhand rai university 48, jis university, kolkata 18, jiwaji university 2338, jk lakshmipat university 24, jodhpur national university 2, jss academy of higher education & research 437, jss science and technology university, mysuru 25, j.s. university, shikohabad 26, junagadh agricultural university 1, kadi sarva vishwavidyalaya 620, kakatiya university, warangal 545, kalasalingam university 406, kalinga institute of social sciences (kiss) 10, kalinga university 238, kamdhenu university 8, kameshwara singh darbhanga sanskrit vishwavidyalaya, darbhanga 3, kannada university 101, kannur university 887, karnataka samskrit university 61, karnataka state law university 15, karnataka state open university 17, karnataka state womens university 299, karnataka veterinary, animal and fisheries sciences university 102, karnatak university 5143, karnavati university 15, karpagam university 298, karunya university 582, kavayitri bahinabai chaudhari north maharashtra university 1289, kavikulaguru kalidas sanskrit university 150, kazi nazrul university 28, kerala agricultural university 14, kerala university of health sciences 3, khwaja moinuddin chishti urdu, arabi-farsi university 16, kiit university 1077, king george medical university 21, kle technological university 17, kle university 187, kolhan university 32, koneru lakshmaiah education foundation 933, krantiguru shyamji krishna verma kachchh university 124, krea university 1, krishna institute of medical sciences, deemed to be university karad 77, krishna kanta handiqui state open university 36, krishna university, machilipatnam 69, k.r. mangalam university, gurgaon 103, kumaun university 1719, kurukshetra university 1493, kushabhau thakre patrakarita avam jansanchar vishwavidyalaya 7, kuvempu university 1388, lakshmibai national university of physical education 228, lakulish yoga university 20, lalit narayan mithila university 6859, lingayas vidyapeeth 100, lnct university 140, lovely professional university 879, madan mohan malaviya university of technology 95, madhav university 253, madhyanchal professional university 4, madhya pradesh bhoj (open) university 9, madurai kamaraj university 5837, magadh university 22, mahapurusha srimanta sankaradeva viswavidyalaya 43, maharaja agrasen university 112, maharaja ganga singh university 2278, maharaja krishnakumarsinhji bhavnagar university 1506, maharaja ranjit singh punjab technical university 19, maharaja sayajirao university of baroda 4072, maharaja sriram chandra bhanja deo university 16, maharaja vinayak global university 122, maharana pratap university of agriculture and technology 169, maharashtra animal and fishery sciences university 17, maharashtra national law university nagpur 5, maharashtra university of health sciences 221, maharishi markandeshwar university, mullana 519, maharishi markandeshwar university, sadopur (ambala) 27, maharishi university of information technology 57, maharshi dayanand saraswati university 210, maharshi dayanand university 4690, mahatma gandhi antarrashtriya hindi vishwavidyalaya 255, mahatma gandhi chitrakoot gramodaya vishwavidyalaya 151, mahatma gandhi kashi vidyapith 4972, mahatma gandhi univeristy of medical sciences & technnology , jaipur 40, mahatma gandhi university 3949, mahatma gandhi university, nalgonda 20, mahatma jyotiba phule rohilkhand university 1679, makhanlal chaturvedi national university of journalism and communication, bhopal 22, malaviya national institute of technology jaipur 361, malwanchal university, indore 44, management development institute gurgaon 25, manav rachna international institute of research and studies 235, manav rachna university 63, mandsaur university 66, mangalayatan university 147, mangalore university 2047, manipal academy of higher education 1740, manipal university jaipur 330, manipur university 1848, manonmaniam sundaranar university 7576, martin luther christian university 44, marwadi university 18, mats university 97, maulana abul kalam azad university of technology 95, maulana azad national institute of technology bhopal 282, maulana azad national urdu university 391, m.b.m. university 17, medi caps university, indore 26, meenakshi academy of higher education and research 173, mewar university 335, mgm institute of health sciences 135, mica, ahmedabad 26, mit-adt university, pune 51, mizoram university 839, mody university of science and technology 122, mohammad ali jauhar university 4, mohan lal sukhadia university 1071, monad university 37, motherhood university 5, mother teresa womens university 1072, motilal nehru national institute of technology 590, m s ramaiah university of applied sciences 77, mvn university,palwal 71, nagaland university 535, narsee monjee institute of management studies 280, national brain research centre 97, national institute of educational planning and administration (niepa) 34, national institute of fashion technology delhi 30, national institute of food technology entrepreneurship and management - niftem (k)kundli 25, national institute of food technology entrepreneurship and management thanjavur (niftem-t) 27, national institute of pharmaceutical education and research, ahmedabad 31, national institute of pharmaceutical education and research, guwahati 23, national institute of pharmaceutical education and research, hajipur 11, national institute of pharmaceutical education and research, hyderabad 41, national institute of pharmaceutical education and research kolkata 14, national institute of pharmaceutical education and research, raebareli 6, national institute of technology agartala 181, national institute of technology arunachal pradesh 54, national institute of technology calicut 228, national institute of technology delhi 69, national institute of technology durgapur 160, national institute of technology goa 49, national institute of technology hamirpur 94, national institute of technology jamshedpur 124, national institute of technology karnataka 494, national institute of technology,kurukshetra 158, national institute of technology manipur 72, national institute of technology mizoram 34, national institute of technology nagaland 11, national institute of technology (nit) meghalaya 99, national institute of technology (nit), warangal 555, national institute of technology patna 352, national institute of technology puducherry 59, national institute of technology raipur 213, national institute of technology, rourkela 398, national institute of technology sikkim 29, national institute of technology silchar 69, national institute of technology srinagar 189, national institute of technology tiruchirappalli 234, national institute of technology uttarakhand 35, national law institute university, bhopal 8, national law school of india university 48, national law university and judicial academy, guwahati 9, national law university, delhi 37, national law university, odisha 16, national museum institute of hisotry of art conservation and musicology 2, national sanskrit university 47, navrachana university 25, nehru gram bharati university 157, netaji subhas open university 1, netaji subhas university of technology 9, niilm university 4, niit university 15, nims university rajasthan 359, nirma university 393, nirwan university jaipur 7, nitte university 94, noida international university 87, noorul islam centre for higher education 351, north-eastern hill university 2754, north eastern regional institute of science and technology (nerist) 101, odisha university of agriculture and technology 160, om sterling global university 114, o.p. jindal university 9, opjs university 21, oriental university 92, osmania university 1683, pacific university 2318, padmashree dr. d.y. patil vidyapeeth, navi mumbai 79, pandit deendayal petroleum university 180, pandit s. n. shukla university, shahdol 10, parul university 195, patna university 341, peoples university, bhopal 7, periyar maniammai university 157, periyar university 3301, pes university 24, p.k. university 28, pondicherry university 2509, poornima university 76, potti sreeramulu telugu university 1, p p savani university 3, pravara institute of medical sciences 47, presidency university 115, presidency university, karnataka 167, prist university 86, pt. ravishankar shukla university 2934, pt. sundarlal sharma open university bilaspur 250, punjab engineering college (deemed to be university) 60, punjabi university 3222, rabindra bharati university 421, rabindranath tagore university, bhopal 332, raffles university 16, raiganj university 185, rai university 308, rajasthan technical university, kota 149, rajiv gandhi institute of petroleum technology 37, rajiv gandhi national institute of youth development 7, rajiv gandhi national university of law punjab 32, rajiv gandhi proudyogiki vishwavidyalaya 645, rajiv gandhi university 661, rama devi womens university 13, ramakrishna mission vivekananda educational and research institute 222, ramakrishna mission vivekananda university 1, rama university, uttar pradesh 78, ramchandra chandravansi university 11, ranchi university 110, rani channamma university 122, rani durgavati vishwavidyalaya 356, rashtrasant tukadoji maharaj nagpur university 313, rashtriya raksha university 19, ravenshaw university 486, rayat bahra university, mohali 16, regional centre for biotechnology 1, renaissance university 26, reva university 219, rimt university 38, rkdf university 130, rkdf university ranchi 2, rk university 294, rnb global university 5, sabarmati university 1, sage university, indore 82, sai nath university 138, sambalpur university 1814, sam higginbottom institute of agriculture, technology and sciences 482, sampurnanand sanskrit vishwavidhyalaya 3, sanchi university of buddhist-indic studies, bhopal 6, sandip university 46, sangam university 63, sanjay gandhi post graduate institute of medical sciences, lucknow 12, sanjay ghodawat university 2, sankalchand patel university 65, sanskriti university 49, sant baba bhag singh university 38, sant gadge baba amravati university 3038, sant longowal institute of engineering and technology 315, santosh deemed to be university 104, sardarkrushinagar dantiwada agricultural university 0, sardar patel university 3396, sardar vallabhbhai national institute of technology surat 411, sarvepalli radhakrishnan university 145, sastra university 553, satavahana university 9, sathyabama institute of science and technology 422, saurashtra university 3283, saveetha university 837, school of planning and architecture, bhopal 22, school of planning and architecture, new delhi 49, school of planning and architecture vijayawada 10, seacom skills university 111, sgt university 105, sharda university 215, sher-e-kashmir university of agricultural sciences and technology of jammu 145, shivaji university 4947, shiv nadar university 183, shobhit university, gangoh 29, shobhit university, meerut 166, shoolini university of biotechnology and management sciences 515, shree somnath sanskrit university 110, shri govind guru university 81, shri guru ram rai university 75, shri jagdishprasad jhabarmal tibarewala university 3665, shri khushal das university 143, shri lal bahadur shastri national sanskrit university 545, shri mata vaishno devi university 232, shri ramswaroop memorial university 153, shri rawatpura sarkar university 1, shri vaishnav vidyapeeth vishwavidyalaya 47, shri venkateshwara university, uttar pradesh 2, shyam university 14, sidho kanho birsha university 132, sido kanhu murmu university 21, sikkim manipal university 93, sikkim university 228, siksha "o" anusandhan university 568, singhania university 23, sir padampat singhania university 77, sndt womens university 1263, solapur university 270, south asian university 2, s. p. jain institute of management and research 5, sree sankaracharya university of sanskrit 723, sri balaji university, pune 4, sri balaji vidyapeeth 53, sri chandrasekharendra saraswathi viswa mahavidyalaya 417, sri devaraj urs academy of higher education and research 44, sri guru granth sahib world university 85, sri guru ram das university of health sciences 9, sri krishnadevaraya university 3434, srinivas university 20, sri padmavathi womens university 247, sri ramachandra institute of higher education and research 374, sri sai university 2, sri sathya sai institute of higher learning 110, sri satya sai university of technology & medical sciences 80, sri siddhartha academy of higher education 69, sri sri university 17, sri venkateswara institute of medical sciences 24, sri venkateswara university 5461, srm institute of science and technology 1594, srm university- ap 21, srm university, delhi-ncr, sonepat 83, starex university 16, st. joseph university, dimapur 18, st. peter’s institute of higher education and research 401, st. xaviers university, kolkata 1, sumandeep vidyapeeth deemed to be university 49, sunrise university 5, suresh gyan vihar university 387, sushant university (earlier ansal university) 59, swami rama himalayan university 22, swami ramanand teerth marathwada university 5648, swami vivekanad subharti university 224, swami vivekananda yoga anusandhana sansthana 145, swami vivekanand university 80, swarnim gujarat sports university 7, symbiosis international university 525, tamil nadu agricultural university 1419, tamil nadu dr. ambedkar law university 59, tamil nadu open university 51, tamilnadu physical education and sports university 259, tamil nadu teachers education university, chennai 203, tamil nadu veterinary and animal sciences university 79, tamil university 169, tantia university 253, tata institute of fundamental research 1034, tata institute of social sciences 599, techno india university 4, teerthanker mahaveer university 93, teri school of advanced studies 138, tezpur university 939, thapar institute of engineering and technology 1203, the assam kaziranga university 24, the assam royal global university 15, the charutar vidya mandal cvm university 5, the english & foreign languages university, hyderabad 814, the gandhigram rural institute 1396, the icfai university, dehradun 48, the iihmr university, jaipur 35, the indian law institute, new delhi 19, the lnm institute of information technology 34, the national academy of legal studies and research (nalsar) university of law 50, the national university of advanced legal studies 4, the neotia university 4, the northcap university 109, the tamil nadu dr. m.g.r. medical university 466, the university of burdwan 3079, the west bengal national university of juridical sciences 39, thiruvalluvar university 289, thunchath ezhuthachan malayalam university 16, tilak maharashtra vidyapeeth 915, tilka manjhi bhagalpur university 269, tripura university 476, tumkur university 299, uka tarsadia university 121, university of agricultural sciences, bangalore 458, university of agricultural sciences, dharwad 286, university of agricultural sciences, raichur 63, university of allahabad 2611, university of calicut 2279, university of delhi 5326, university of engineering and management, kolkata 17, university of gour banga 12, university of hyderabad 2774, university of jammu 1237, university of kalyani 2898, university of kashmir 1971, university of kerala 7426, university of kota 139, university of lucknow 6983, university of mysore 4387, university of north bengal 2072, university of patanjali 33, university of petroleum and energy studies (upes) 404, university of rajasthan 1810, university of science and technology, meghalaya 101, u.p. pt. deen dayal upadhyaya pashu chikitsa vigyan vishwavidhyalaya evam go anusandha sansthan 46, u p rajarshi tondon open university 336, usha martin university 21, utkal university 5691, uttarakhand open university 19, uttarakhand sanskrit university 57, uttarakhand technical university 279, uttaranchal university 74, vardhaman mahaveer open university, kota 23, v. b. s. purvanchal university 9194, veer kunwar singh university, arrah 32, veer narmad south gujarat university 3393, veer surendra sai university of technology 189, vellore institute of technology bhopal 8, vellore institute of technology, vellore 2280, vellore institute of technology (vit-ap) 77, vels university 1006, vel tech rangarajan dr. sagunthala r&d institute of science and technology 250, vidyasagar university 900, vignans foundation for science technology and research 214, vijayanagara sri krishnadevaraya university, bellary 131, vikram university 95, vinayaka missions research foundation 393, vinoba bhave university 270, vishwakarma university 27, visva-bharati 1664, visvesvaraya national institute of technology 293, visvesvaraya technological university, belagavi 1118, vivekananda global university 74, william carey university 3, world university of design 1, xim university 26, yashwantrao chavan maharashtra open university 330, ybn university 47, yenepoya (deemed to be university) 135, yogi vemana university 92, about shodhshuddhi.

Based on the recommendation of Sub-Committee, National Steering Committee (NSC) of e-ShodhSindhu, The Ministry of Education, Govt. of India has initiated a programme "ShodhShuddhi" which provides access to Plagiarism Detection Software (PDS) to all universities/Institutions in India since Sept 1, 2019 [Read More...]

Under this initiative, URKUND a Web Based Plagiarism Detection Software system is being provided to all users of universities/Intuitions in the country. This initiative is formally launched by Honorable Minister of HRD (now renamed as Minister of Education) on September 21, 2019

The INFLIBNET Centre receives numerous queries from Colleges regarding membership to Shodhganga and e-ShodhSindhu. Following clarifications are being provided in this regard: Read More.

Full Text Theses

Synopses/mrps/pdfs/fellowships, universities contributing, universities+cftis/inis signed mou, prof devika p madalli, sh. manoj kumar k, general / technical query, antiplagiarism query.

Graph

The Shodhganga@INFLIBNET Centre provides a platform for research students to deposit their Ph.D. theses and make it available to the entire scholarly community in open access. The repository has the ability to capture, index, store, disseminate and preserve ETDs submitted by the researchers. [Read l]

phd thesis data center

Operations Research Center

MIT ORC Home

Search form

Phd and masters theses.

Whether you are a member of our doctoral degree (PhD) program or our master’s degree (SM) program in operations research, you will write a thesis based on original, independent research conducted under the guidance of our expert faculty.

Below you will find a listing by year of the research performed by ORC students.

Theses are available on the  DSpace@MIT  online archive. If you would like to request a copy of a thesis, please contact MIT Document Services at 617.253.5650 or [email protected]

MIT Document Services owns the copyrights for all MIT student theses.

PhD Theses by Year

Behdin, Kayhan  Statistical Learning with Discrete Structures: Statistical and Computational Perspectives, June 2024

Bennouna, Mohammed Amine  Efficient Robustness and Interpretability in Learning and Data-Driven Decision-Making, June 2024

Blanchard, Moïse  Fundamental Limits of Learning for Generalizability, Data Resilience, and Resource Efficiency, June 2024

Das Gupta, Shuvomoy  Advances in Computer-Assisted Design and Analysis of First-Order Optimization Methods and Related, June 2024

Shah, Sohil  Information Design for Platform-Enabled Operations, June 2024

Thayaparan, Leann  Analytics and Decision Making in Sustainable Operations, June 2024

Villalobos Carballo, Kimberly M.  Integrating Optimization and Modern Machine Learning: Theory, Computation, and Healthcare Applications, June 2024

Wang, Haoyue  Large-scale Algorithms for Machine Learning: Efficiency, Estimation Errors, and Beyond, June 2024

Zeng, Cynthia  Multimodal Machine Learning for Climate Adaptation, June 2024

Boussioux, Léonard  Multimodality: Models, Algorithms, and Applications, June 2023

Chen, Wenyu  Optimization Methods for Machine Learning under Structural Constraints, June 2023

Cummings, Kayla  Toward Microtransit: Design and Operations of Reservation-based Systems, September 2023

Digalakis, Vasileios  Analytics under Variability, Volume, and Velocity with Applications to Sustainability and Healthcare, June 2023

Gilmour, Samuel  Allocating Scarce Resources: Modeling and Optimization, June 2023

Gong, Xiaoyue  Data-Driven Decision Making in Operations Management, June 2023

Liang, Jason Cheuk Nam  Automated Data-driven Algorithm and Mechanism Design in Online Advertising Markets, June 2023

Na, Liangyuan  Optimal Decision Making for Healthcare Operations: Models and Implementation, June 2023

Susan, Fransisca  Online Combinatorial Optimization for Digital Marketplaces, June 2023

Wilde, Joshua  Analytics-Enabled Quality and Safety Management Methods for High-Stakes Manufacturing Applications, February 2023

Zhao, Renbo  New Theory and Algorithms for Convex Optimization with Non-Standard Structures, June 2023

Zheng, Andrew  Experimentation and Control in Online Platforms, June 2023

Baek, Jackie  Decision-Making Under Uncertainty: From Theory to Practice, September 2022

Coey, Christopher Daniel Lang  Interior point and outer approximation methods for conic optimization, May 2022

Cohen, Peter L.  Algorithmic Approaches to Nonparametric Causal Inference, May 2022

Cory-Wright, Ryan  Integer and Matrix Optimization: A Nonlinear Approach, May 2022

Foncea Araneda , Patricio Tomas Learning and Optimization in Modern Retail​, September 2022

Gibson, Emma  Optimizing Healthcare Delivery in Resource-Limited​, September 2022

Kapelevich, Lea  Techniques for handling nonsymmetric cones in interior point algorithms, May 2022

Lahlou Kitane, Driss  Sparsity in Machine Learning: Theory and Applications, February 2022

Li, Michael Lingzhi  Algorithms for Large-scale Data Analytics and Applications to the COVID-19 Pandemic, February 2022

Meigs, Emily  Information and Incentives in Online Platforms​, September 2022

Papalexopoulos, Theodore P.  Multi-Objective Optimization for Public Policy, May 2022

Paskov, Ivan Spassimirov  Stable Machine Learning, February 2022.

Paynter, Jonathan  Modeling Aspects of Military Readiness, May 2022

Skali Lami, Omar  Predictive and Prescriptive Analytics in Operations Management, May 2022

Sobiesk, Matthew  Machine Learning Algorithms and Applications in Health Care, February 2022

Spantidakis, Ioannis  Constrained Inventory Optimization on Complex Warehouse Networks​, September 2022

Wiberg, Holly Mika  Data-driven healthcare via constraint learning and analytics, May 2022

Xu, Qingyang  Financial and Analytic Innovations for Therapeutic Development, May 2022

Amar, Jonathan Z.  Algorithmic Advancements in the Practice of Revenue Management, February 2021.

Bandi, Hari  Improving Efficiency and Fairness in Machine Learning: a Discrete Optimization Approach, September 2021.

Delarue, Arthur  Optimizing School Operations, June 2021.

Hazimeh, Hussein  Sparse Learning using Discrete Optimization: Scalable Algorithms and Statistical Insights, September 2021.

Koduri, Nihal  Essays on Decision Making Under Uncertainty, June 2021.

Orfanoudaki, Agni  Novel Machine Learning Algorithms for Personalized Medicine and Insurance, June 2021.

Paulson, Elisabeth  Healthy Food Access and Consumption: Informing Interventions Through Analytics, September 2021.

Renegar, Nicholas  Predictive Analytics and Machine Learning for the Risk-Based Management of Agricultural Supply Chains, September 2021.

Sinha, Deeksha  Optimization for Online Platforms, February 2021.

Berk, Lauren  New Optimization Approaches to Matrix Factorization Problems with Connections to Natural Language Processing, June 2020.

Chodrow, Philip S.  Structure, Dynamics, and Inference in Networks, September 2020.

Cohen-Hillel, Tamar  Past Price and Trend Effects in Promotion Planning; from Prediction to Prescription, September 2020.

Gaudio, Julia  Investigations in Applied Probability and High-Dimensional Statistics, June 2020.

Hu, Michael  Leveraging Data Analytics to Improve Outpatient Healthcare Operations, February 2020.

Hunter, David  New Approaches to Maximizing Influence in Large-Scale Social Networks, February 2020.

Lamperski, Jourdain Bernard  Structural and Algorithmic Aspects of Linear Inequality Systems, September 2020.

Lu, Jing  Probabilistic Models and Optimization Algorithms for Large-scale Transportation Problems, February 2020.

Pauphilet, Jean  Algorithmic Advancements in Discrete Optimization Applications to Machine Learning and Healthcare Operations, June 2020.

Singhvi, Divya  Data-Driven Decision Making in Online and Offine Retail, September 2020.

Singhvi, Somya  Improving Farmers' and Consumers' Welfare in Agricultural Supply Chains via Data-driven Analytics and Modeling: From Theory to Practice, September 2020.

Sturt, Bradley Eli  Dynamic Optimization in the Age of Big Data, June 2020.

Wang, Li  Online and Offline Learning in Operations, September 2020.

Wang, Yuchen  Interpretable Machine Learning Methods with Applications to Health Care, June 2020.

Yan, Julia  From Data to Decisions in Urban Transit and Logistics, June 2020.

Zhang, Kevin  Real-Time Calibration of Large-Scale Traffic Simulators: Achieving Efficiency Through the Use of Analytical Models, September 2020.

Baardman, Lennart  Analytics in Promotional Pricing and Advertising, June 2019.

Beeler, Michael Francis  Inference and Decision Models for Regulatory and Business Challenges in Low-Income Countries, September 2019.

Biggs, Max Prescriptive Analytics in Operations Problems: a Tree Ensemble Approach, September 2019.

Burq, Maximilien  Dynamic Matching Algorithms, February, 2019.

Chen, Louis Lester  Distributionally Robust Optimization with Marginals: Theory and Applications, September 2019.

Fields, Evan  Demand Uncensored: Inferring Demand for Car-Sharing Mobility Services Using Data-Driven and Simulation-Based Techniques, February, 2019.

Hariss, Rim  Data-driven Optimization with Behavioral Considerations: Applications to Pricing, September 2019.

Lu, Haihao  Large-Scale Optimization Methods for Data-Science Applications, June 2019.

Martin, Sebastien  The Edge of Large-Scale Optimization in Transportation and Machine Learning, June 2019.

McCord, Christopher George  Data-Driven Dynamic Optimization with Auxiliary Covariates, June 2019.

Mellou, Konstantina  Resource Scheduling and Optimization in Dynamic and Complex Transportation Settings, June 2019.

Mundru, Nishanth  Predictive and Prescriptive Methods in Operations Research and Machine Learning: An Optimization Approach, June 2019.

Nambiar, Mila  Data-driven Pricing and Inventory Management with Applications in Fashion Retail, September 2019.

Ng, Yee Sian  Advances in Data-Driven Models for Transportation, June 2019.

Pawlowski, Colin  Machine Learning for Problems with Missing and Uncertain Data with Applications to Personalized Medicine, June 2019.

Tay, Joel  Integrated Robust and Adaptive Methods in the Heating Oil Industry, February, 2019.

Zadik, Ilias  Computational and Statistical Challenges in High Dimensional Statistical Models, September 2019.

Amjad, Muhammad Jehangir  Sequential Data Inference via Matrix Estimation: Causal Inference, Cricket and Retail, September 2018.

Chen, Chongli Daniel  Operations Management in a Large Online Retailer: Inventory, Scheduling and Picking, September 2018.

Copenhaver, Martin Steven  Sparsity and robustness in modern statistical estimation, June 2018.

Dunn, Jack William  Optimal Trees for Prediction and Prescription, June 2018.

Galle, Virgile  Optimization Models and Methods for Storage Yard Operations in Maritime Container Terminals, February 2018.

Goh, Chong Yang  Learning with Structured Decision Constraints, June 2018.

Goh, Siong Thye  Machine Learning Approaches to Challenging Problems: Interpretable Imbalanced Classification, Interpretable Density Estimation, and Causal Inference, June 2018.

Gutin, Eli  Practical Applications of Large-Scale Stochastic Control for Learning and Optimization, September 2018.

Huchette, Joseph Andrew  Advanced mixed-integer programming formulations: Methodology, computation, and application, June 2018.

Li, Andrew A.  Algorithms for Large-Scale Personalization, June 2018.

Ma, Will (Wei)  Dynamic, Data-driven Decision-making in Revenue Management, September 2018.

Owen, Zachary Davis Owen  Revenue Management and Learning in Systems of Reusable Resources, June 2018.

Papush, Anna  Data-Driven Methods for Personalized Product Recommendation Systems, February 2018.

Pixton, Clark  Operational Decisions and Learning for Multiproduct Retail, June 2018.

Tracà, Stefano  Regulating exploration in multi-armed bandit problems with time patterns and dying arms, June 2018.

Udwani, Rajan  Vignettes on Robust Combinatorial Optimization, September 2018.

Wang, Shujing  Improving Behavioral Decision Making in Operations and Food Safety Management, September 2018.

Zhuo, Ying Daisy  New Algorithms in Machine Learning with Applications in Personalized Medicine, June 2018.

Aouad, Mohammed  Revenue Management in Face of Choice Heterogeneity, September 2017.

Cheung, Wang Chi  Data-driven Algorithms for Operational Problems, February 2017.

Eschenfeldt, Patrick Clark  Multiserver Queueing Systems in Heavy Traffic, February 2017.

Flajolet, Arthur  Adaptive Optimization Problems under Uncertainty with Limited Feedback, June 2017.

Gupta, Swati  Combinatorial Structures in Online and Convex Optimization, June 2017.

Korolko, Nikita  A Robust Optimization Approach to Online Problems, June 2017.

Kung, Jerry Lai  An Analytics Approach to Problems in Health Care, June 2017.

Lubin, Miles  Mixed-Integer Convex Optimization: Outer Approximation Algorithms and Modeling Power, September 2017.

Marks, Christopher E.  Analytic Search Methods in Online Social Networks, June 2017.

Thraves Cortés-Monroy, Charles Mark  New Applications in Revenue Management, June 2017.

Weinstein, Alexander Michael  From Data to Decisions in Healthcare: An Optimization Perspective, June 2017.

Yan, Chiwei  Airline Scheduling and Air Traffic Control: Incorporating Passenger and Airline Preferences and Uncertainty, September 2017.

Dunning, Iain Robert Advances in Robust and Adaptive Optimization: Algorithms, Software, and Insights, June 2016.

Grigas, Paul  Methods for Convex Optimization and Statistical Learning, September 2016.

Misic, Velibor V. Data, Models and Decisions for Large-Scale Stochastic Optimization Problem, June 2016.

Remorov, Alexander  Dynamic Trading and Behavioral Finance, June 2016.

Shaposhnik, Yaron  Exploration vs. Exploitation: Reducing Uncertainty in Operational Problems, September 2016.

Shi, Peng  Prediction and Optimization in School Choice, June 2016.

Wang, He  Dynamic Learning and Optimization for Operations Management Problems, June 2016.

Youssef, Nataly  Stochastic Analysis via Robust Optimization, February 2016.

Yuan, Rong  Velocity-based Storage and Stowage Decisions in a Semi-automated Fulfillment System, September 2016.

Bisias, Dimitrios  Applications of Optimal Portfolio Management, September 2015.

Calmon, Andre du Pin  Reverse Logistics for Consumer Electronics: Forecasting Failures, Managing Inventory, and Matching Warranties, June 2015.

Cohen, Maxime C.  Pricing for Retail, Social Networks and Green Technologies, September 2015.

Fagnan, David Erik  Analytics for Financing Drug Development, June 2015.

Johnson, Kris  Analytics for Online Markets, June 2015.

Kallus, Nathan  From Data to Decisions Through New Interfaces Between Optimization and Statistics, June 2015.

King, Angela  Regression under a Modern Optimization Lens, June 2015.

Letham, Benjamin  Statistical Learning for Decision Making: Interpretability, Uncertainty, and Inference, June 2015.

Lin, Maokai   Optimization and Equilibrium in Dynamic Networks and Applications in Traffic Systems, February 2015.

Silberholz, John  Analytics for Improved Cancer Screening and Treatment, September 2015.

Wang, Hai  Design and Operation of a Last Mile Transportation System, June 2015.

Anderson, Ross Michael   Stochastic Models and Data Driven Simulations for Healthcare Operations, June 2014.

Elmachtoub, Adam Nabil   New Approaches for Integrating Revenue and Supply Chain Management, September, 2014.

Gupta, Vishal   Data-Driven Models for Uncertainty and Behavior, June 2014.

Leung, Ngai-Hang Zachary   Three Essays in Operations Management, September, 2014.

Zhu, Zhe   New Statistical Techniques for Designing Future Generation Retirement and Insurance Solutions, September, 2014.

Bandi, Chaithanya   Tractable Stochastic Analysis in High Dimensions via Robust Optimization, June 2013.

Chiraphadhanakul, Virot   Large-Scale Analytics and Optimization in Urban Transportation: Improving Public Transit and Its Integration with Vehicle-Sharing Services, June 2013.

Figueroa, Cristian Ricardo  Emission Regulations in the Electricity Market: An Analysis from Consumers, Producers and Central Planner Perspectives, September 2013.

Fontana, Matthew William  Optimal Routes for Electric Vehicles Facing Uncertainty, Congestion, and Energy Constraints, September 2013.

Keller, Philipp Wilhelm   Tractable Multi-product Pricing under Discrete Choice Models, June 2013.

Lu, Xin   Online Optimization Problems, June 2013.

Monsch, Matthieu  Large Scale Prediction Models and Algorithms, September 2013.

O'Hair, Allison Kelly   Personalized Diabetes Management, June 2013.

Simchi-Levi, David   Effectiveness and Design of Sparse Process Flexibilities, June 2013.

Uichanco, Joline Ann Villaranda  Data-driven Optimization and Analytics for Operations Management Applications, September 2013.

Acimovic, Jason Andrew    Lowering Outbound Shipping Costs in an Online Retail Environment by Making Better Fulfillment and Replenishment Decisions, September 2012.

Chang, Allison An    Integer Optimization Methods for Machine Learning, June 2012.

Frankovich, Michael Joseph  Air Traffic Flow Management at Airports: A Unified Optimization Approach, September 2012.

Gupta, Shubham    A Tractable Optimization Framework for Air Traffic Flow Management Addressing Fairness, Collaboration and Stochasticity, June 2012.

Lobel, Ruben  Pricing and Incentive Design in Applications of Green Technology Subsidies and Revenue Management, June 2012.

Shi, Cong  Provably Near-Optimal Algorithms for Multi-stage Stochastic Optimization Models in Operations Management, September 2012.

Sun, Wei  Price of Anarchy in Supply Chains, Congested Systems and Joint Ventures, September 2012.

Telha Cornejo, Claudio    Algorithms and Hardness Results for the Jump Number Problem, the Joint Replenishment Problem, and the Optimal Clustering of Frequency-Constrained Maintenance Jobs, February 2012.

Teytelman, Anna  Modeling Reduction of Pandemic Influenza Using Pharmaceutical and Non-Pharmaceutical Interventions in a Heterogeneous Population, June 2012.

Zhong, Yuan  Resource Allocation in Stochastic Processing Networks: Performance and Scaling, September 2012.

Becker, Adrian Bernard Druke    Decomposition Methods for Large Scale Stochastic and Robust Optimization Problems, September 2011.

Chhaochhria, Pallav  Forecast-driven Tactical Planning Models for Manufacturing Systems, September 2011.

Dunkel, Juliane    The Gomory-Chv´atal Closure: Polyhedrality, Complexity, and Extensions, June 2011.

Goldberg, David Alan    Large Scale Queueing Systems: Asymptotics and Insights, June 2011.

Kluberg, Lionel J.    Competition and Loss of Eciency: From Electricity Markets to Pollution Control, June 2011.

Michalek Pfeil, Diana  Optimization of Airport Terminal-Area Air Traffic Operations under Uncertain Weather Conditions, June 2011.

Mittal, Shashi  Algorithms for Discrete, Non-Linear and Robust Optimization Problems with Applications in Scheduling and Service Operations, September 2011.

Rikun, Alexander Anatolyevich  Applications of Robust Optimization to Queueing and Inventory Systems, June 2011.

Sun, Xu Andy  Advances in Electric Power Systems: Robustness, Adaptability, and Fairness, September 2011.

Trichakis, Nikolaos K.  Fairness in Operations: From Theory to Practice, June 2011.

Williams, Gareth Pierce  Dynamic Order Allocation for Make-To-Order Manufacturing Networks: An Industrial Case Study of Optimization Under Uncertainty, June 2011.

Zarybnisky, Eric Jack  Maintenance Scheduling for Modular Systems–Models and Algorithms, September 2011.

Bimpikis, Kostas  Strategic Delay and Information Exchange in Endogenous Social Networks, September 2010. 

Doan, Xuan Vinh  Optimization under Moment, Robust, and Data-Driven Models of Uncertainty, February 2010. 

Fearing, Douglas  The Case for Coordination: Equity, Efficiency and Passenger Impacts in Air Traffic Flow Management, Septmeber 2010. 

Iancu, Dan Andrei  Adaptive Robust Optimization with Applications in Inventory and Revenue Management, Septmeber 2010. 

Menjoge, Rajiv  New Procedures for Visualizing Data and Diagnosing Regression Models, June 2010. 

Weber, Theophane  Correlation Decay and Decentralized Optimization in Graphical Models, February 2010. 

Harsha, Pavithra  - Mitigating Airport Congestion: Market Mechanisms and Airline Response Models, February 2009.

Lobel, Ilan  - Social Networks: Rational Learning and Information Aggregation, September 2009.

Lu, Ye -  Essays on Inventory, Pricing and Financial Trading Strategies, September 2009.

Nguyen, Tri-Dung  - Robust Estimation, Regression and Ranking with Applications in Portfolio Optimization, June 2009.

Nigmatulina, Karima Robert  - Modeling and Responding to Pandemic Influenza: Importance of Population Distributional Attributes and Non-Pharmaceutical Interventions, June 2009.

Stratila, Dan  - Combinatorial Optimization Problems with Concave Costs, February 2009.

Bjarnadottir, Margret  - Data-Driven Approach to Health Care: Applications Using Claims Data, September 2008.

Chandler, Lincoln J.  - The Minority Achievement Gap in a Suburban School District, June 2008.

Czerwinski, David  - Quality of Care and Drug Surveillance: A Data-Driven Perspective, June 2008.

Mamani, Hamed  - Supply Chain Coordination and Influenza Vaccination, September 2008.

Pei, Pamela  - Towards a Unified Theory of Procurement Contract Design: Production Flexibility, Spot Market Trading, and Contract Structure, June 2008.

Rogozhnikov, Dmitriy  - Algorithmic issues in queueing systems and combinatorial counting problems, September 2008.

Shah, Premal  - Analysis of Employee Stock Options and Guaranteed Withdrawal Benefits for Life, September 2008.

Uhan, Nelson  - Algorithmic and Game-Theoretic Perspectives on Scheduling, June 2008.

Chan, Timothy  - Optimization under Uncertainty in Radiation Therapy, June 2007.

Goundan, Pranava  - Essays on Optimization and Incentive Contracts, June 2007.

Kaminski, Kathryn  - General Superposition Strategies and Asset Allocation, June 2007.

Le-Tallec, Yann  - Robust, Risk-Sensitive, and Data-driven Control of Markov Decision Processes, February 2007.

Shum, Wanhang  - Effective Contracts in Supply Chains, June 2007.

Simon, Carine  - Dynamic Pricing with Demand Learning under Competition, September 2007.

Sivaraman, Raghavendran  - Capacity Expansion in Contemporary Telecommunication Networks, September 2007.

Teo, Kwong Meng  - Nonconvex Robust Optimization, June 2007.

Adida, Elodie  - Dynamic Pricing and Inventory Control with no Backorders under Uncertainty and Competition, June 2006.

Gupta, Shobhit  - Buyout Prices in Online Auctions, June 2006.

McCann, Lauren  - Robust Model Selection and Outlier Detection in Linear Regression, June 2006.

Meyers, Carol  - Network Flow Problems and Congestion Games: Complexity and Approximation Results, June 2006.

Nogueira, Alexandre  - Studies Integrating Geometry, Probability, and Optimization Under Convexity, June 2006.

Roels, Guillaume  - Information and Decentralization in Inventory, Supply Chain, and Transportation Systems, June 2006.

Wagner, Michael  - Online Optimization in Routing and Scheduling, June 2006.

Yee, Michael  - Inferring Noncompensatory Choice Heuristics, June 2006.

Aghassi, Michele Leslie - Robust Optimization, Game Theory, and Variational Inequalities, September 2005.

Bompadre, Agustin - Three Essays on Sequencing and Routing Problems, June 2005.

Martonosi, Susan Elizabeth - An Operations Research Approach to Aviation Security, September 2005.

Xu, Ping Josephine - Order Fulfillment in Online Retailing: What Goes Where, September 2005.

Kang, Laura Sumi  - Degradable Airline Scheduling: an Approach to Improve Operational Robustness and Differentiate Service Quality, February 2004.

Correa, José Rafael  - Approximation Algorithms for Packing and Scheduling Problems, June 2004.

Craft, David  - Local Energy Management Through Mathematical Modeling and Optimization, September 2004.

Farahat, Amr  - Tractability Through Approximation: A Study of Two Discrete Optimization Problems, September 2004.

Lesnaia, Ekaterina  - Optimizing Safety Stock Placement in General Network Supply Chains, September 2004.

Martínez-de-Albéniz, Victor  - Portfolio Strategies in Supply Contracts, June 2004.

Sim, Melvyn  - Robust Optimization, June 2004.

Sood, Anshul  - Competitive Multi-period Pricing for Perishable Products, June 2004.

Stier-Moses, Nicolás E. -  Selfish Versus Coordinated Routing in Network Games, June 2004.

Zaretsky, Marina  - Essays on Variational Inequalities and Competitive Supply Chain Models, September 2004.

Beil, Damian  Two Topics in Online Auctions, June 2003.

Chen, Xin  Coordinating Inventory Control and Pricing Strategies, June 2003.

De boer, Sanne  Advances in Airline Revenue Management and Pricing, June 2003.

Hawkins, Jeffrey  A Largrangian Decomposition Approach to Weakly Coupled Dynamic Optimization Problems and its Applications, June 2003.

Kumar, Mahesh  Error-based Clustering and Its Application to Sales Forecasting in Retail Merchandising, September 2003.          

Mersereau, Adam  Dynamic Optimization for Adaptive Customized Marketing, September 2003.    

Shioda, Romy  Integer Optimization in Data Mining, June 2003.

Sun, Peng  Constructing Learning Models from Data: The Dynamic Catalog Mailing Problem, June 2003. 

Wu, Joseph T.  Optimization of Influenza Vaccine Strain Selection, June 2003.

Bossert, John  Modeling and Solving Variations of the Network Loading Problem, September 2002.

Cohn, Amy E.  Composite-Variable Modeling for Large-Scale Problems in Transportation and Logistics, June 2002. 

Kachani, Soulaymane  Dynamic Travel Time Models for Pricing and Route Guidance: A Fluid Dynamics Approach, June 2002.

Muharremoglu, Alp  A New Perspective on Multi-Echelon Inventory Systems, September 2002.

Ordonez, Fernando  On the Explanatory Value of Condition Numbers for Convex Optimization: Theoretical Issues and Computational Experience, September 2002.

Pachamanova, Dessislava A.  A Robust Optimization Approach to Finance, June 2002. 

Rifkin, Ryan  Everything Old is New Again: A Fresh Look at Historical Approaches in Machine Learning, September 2002.

Sharma, Dushyant  Cyclic Exchange and Related Neighborhood Structures for Combinatorial Optimization Problems, June 2002.

Ergun, Ozlem  New Neighborhood Search Algorithms Based on Exponentially Large Neighborhoods, June 2001. 

Haugh, Martin B.  Essays in Financial Engineering, September 2001. 

Humair, Salal  Yield Management for Telecommunication Networks: Defining a New Landscape, February 2001. 

Lauprete, Geoffrey J.  Portfolio Risk Minimization under Departures from Normality, September 2001

Armacost, Andrew P.  Composite Variable Formulation for Express Shipment Service Network Design, September 2000. 

Chew, Elaine  Towards a Mathematical Model of Tonality, February 2000. 

Demir, Ramazan  An Approximate Dynamic Programming Approach to Discrete Optimization, June 2000. 

Gallien, Jérémie  Optimization-Based Auctions and Stochastic Assembly Replenishment Policies for Industrial Procurement, June 2000. 

Hollywood, John S.  Performance Evaluation and Optimization Models for Processing Networks with Queue-Dependent Production Quantities, June 2000. 

Hsu, Leon C.  The Bottleneck Phenomenon in Scheduling of Transportation Systems, February 2000. 

Taylor, Jonathan D.  Essays on the Empirical Properties of Stock and Mutual Fund Returns, June 2000.

Croxton, Keely L.,  Modeling and Solving Network Flow Problems with Piecewise Linear Costs, with Applications in Supply Chain Management, September 1999. 

Epelman, Marina,  Complexity, Condition Numbers and Conic Linear Systems, June 1999.    

Hall, William,  Efficient Capacity Allocation in a Collaborative Air Transportation System, June 1999.   

Nemec, Joseph,  Diffusion and Decompostition Approximations of Stochastic Models of Muolticlass Processing Networks, February 1999.   

Popescu, Ioana,  Application of Optimization in Probability, finance and Revenue Management, June 1999.   

Sethuraman, Jayachandran,  Scheduling Multiclass Queueing Networks and Job Shops using Fluid and Semidefinite Relaxation, September 1999. 

Sokol, Joel,  Optimizing Paint Blocking in an Automobile Assembly Line: An Application of Specialized TSP1s, June 1999.

Chryssikou, Efthalia,  Multiperiod Portfolio Optimization in the Presence of Transaction Costs, June 1998.   

D'Amato, Rebecca,  Management of Antiretroviral Therapy for HIV Infection: Modeling When to Change Therapy, June 1998.    

Epstein, Rafael,  Linear Programming and Capacitated Network Loading, February 1998.   

Gamarnik, David,  Stability and Performance of Multiclass Queueing Networks, February 1998. 

Hauksson, Arni,  The Commercialization of University Research Discoveries: Are University Technology Transfer Offices Stimulating the Process? February 1998. 

Kniker, Timothy,  Itinerary-Based Airline Fleet Assignment, June 1998.

Osuna, Edgar,  Support Vector Machines: Training and Applications, June 1998.   

Ruark, John,  Implementing Reusable Solvers: An Object-Oriented Framework for Operations Research Algorithms, June 1998.     

Toktay, Latife Beril,  Analysis of a Production-Inventory System under a Stationary Demand Process and Forecast Updates, June 1998. 

Wang, Yi,  Modeling and Solving Single and Multiple Facility Network Restoration Problems, June 1998.

Christodouleas, James,  Solution Methods for Multiprocessor Network Scheduling Problems, with Application to Railroad Operations" June 1997. 

Nunez Araya, Manuel A.,  Condition Numbers and Properties of Central Trajectories in Convex Programming, September 1997.    

Patterson, Sarah Stock,  Dynamic Flow Management Problems in Air Transportation, June 1997.

Aggarwal, Charu C.,  Faster Algorithms for Some Network Flow Problems, June 1996.   

Bonvik, Asbjoern M.,  Performance Analysis of Manufacturing Systems Under Hybrid Control Policies, June 1996. 

Fang, Yue,  Volatility Modeling and Estimation of High-Frequency Data with Gaussian Noise, June, 1996.   

Markowitz, David M.,  A Unified Approach to Single Machine Scheduling: Heavy Traffic Analysis of Dynamic Cyclic Policies, June 1996.   

Pinker, Edieal J.,  Models of Flexible Workforce Management in Uncertain Environments, June 1996.    

Miller, Michael G.,  Optimal Allocation of Resources to Clinical Trials, September 1996.  

Rimm-Kaufman, Alan P.,  Risk Mitigation Models for a Japanese Railroad," June 1996.   

Teo, Chung-Piaw,  Constructing Approximation Algorithms Via Linear Programming Relaxations: Primal Dual and Randomized Rounding Techniques, September 1996.  

Zenios, Stefanos A.,  Health Care Applications of Optimal Control Theory, June 1996.

Burman, Mitchell H.,  New Results in Flow Line Analysis, June 1995.   

Chi, Zhihang,  Airline Yield Management in a Dynamic Network Environment, February 1995. 

Luo, Xiao-Dong,  Continuous Linear Programming: Theory, Algorithms and Applications, September 1995.     

Malone, Kerry M.,  Dynamic Queueing Systems: Behavior and Approximations for Individual Queues and for Networks, June 1995.   

Milner, Joseph,  Dynamic Slot Allocation with Airline Participation, June 1995. 

Mourtzinou, Georgia,  An Axiomatic Approach to Queueing Systems, June 1995.   

Nino-Mora, Jose,  Optimal Resource Allocation in a Dynamic and Stochastic Environment: A Mathematical Programming Approach, June 1995.   

Raghavan, S.,  Formulations and Algorithms for Network Design Problems with Connectivity Requirements, February 1995.   

Ricard, Michael J.,  Optimization of Queueing Networks: An Optimal Control Approach, June 1995.     

Rubio, Rodrigo,  Dynamic-Stochastic Vehicle Routing and Inventory Problem, September 1995.   

Shumsky, Robert A.,  Dynamic Statistical Models for the Prediction of Aircraft Take-off Times, September 1995.   

Theodosopoulos, Theodore V.,  Stochastic Models for Global Optimization, June 1995.

Huang, Yen-Chin,  Empirical Distribution Function Statistics, Speed of Convergence, and p-Variation, June 1994.  

Ingolfsson, Armann,  Earthquake Forecasts: The Life-Saving Potential of Last-Minute Warnings, September 1994.   

Klaassen, Pieter ,  Stochastic Programming Models for Interest-Rate Risk Management," June 1994. 

Ramakrishnan, V.S.,  On Cuts and Clutters, September 1994.   

Staats, Richard C.,   Integration of Predictive Routing Information with Dynamic Traffic Signal Control, September 1994.

Mondschein, Susana V.,  Optimal Sales Strategies in Stochastic, Dynamic Environments, June 1993.   

Srivatsan, Narayanan,  Synthesis of Optimal Policies for Stochastic Manufacturing Systems, September 1993.

Athaide, Christopher,  Capacity Allocation and Safety Stocks in Manufacturing Systems, February 1992.   

Chevalier, Philippe,  Two Topics in Multistage Manufacturing Systems, June 1992. 

Gopalan, Ramasubramanian,  Exploiting Process Flexibility in Metal Forming Operations, September 1992.   

Hall, Susan A.,  New Directions in Queue Inference for Management Implementation, June 1992. 

Kodialam, Muralidharan,  The O-D Shortest Path Problem and Connectivity Problems on Periodic Graphs, February 1992. 

Pappu, Suguna,  Production Planning with Due-Date Constraints, June 1992.   

Polychronopoulos, George,  Stochastic and Dynamic Shortest Distance Problems, June 1992.   

Veatch, Michael H.,  Queueing Control Problems for Production/Inventory Systems, September 1992.   

Vranas, Peter B.,  The Multi-Airport Ground-Holding Problem in Air Traffic Control, June 1992. 

Abe, Makoto,  A Marketing Mix Model Developed From Single Source Data: A Semiparametric Approach, September 1991.     

Bai, Sherman X. , Scheduling Manufacturing Systems with Work-in-Process Inventory Control, September 1991. 

Ballman, Karla V.,  Cost-Effectiveness of Smart Traffic Signals, June 1991. 

Gau, Shiow-Hwa,  Server Management in Queueing System, February 1991. 

Ou, Jihong,  Dynamic Scheduling of Queueing Networks, September 1991.     

Richetta, Octavio,  Ground Holding Strategies for Air Traffic Control Under Uncertainty, June 1991.     

Talluri, Kalyan T.,  Issues in the Design and Analysis of Survivable Networks, September 1991.   

Van Ryzin, Garrett,  Stochastic and Dynamic Vehicle Routing in Euclidean Service Regions, June 1991.     

Venkatakrishnan, C.S.,  Analysis and Optimization of Terminal Area Air Traffic Control Operations, February 1991.

Caulkins, Jonathan P.,  The Distribution and Consumption of Illicit Drugs: Some Mathematical Models and Their Policy Implications, June 1990. 

Goemans, Michel X.,  Analysis of Linear Programming Relaxations for a Class Connectivity Problems, September 1990. 

Nakazato, Daisuke,  Transient Distributional Results in Queues with Applications to Queueing Networks, September 1990. 

Tan, Kok-Choon,  Newton's Method for Parametric Center Problems, June 1990. 

Zhang, Hongtao,  Cyclic Scheduling in a Stochastic Environment, June 1990.

Eckstein, Jonathan -  Splitting Methods for Monotone Operators With Applications to Parallel Optimization, September 1989

Hall, Leslie A. -  Two Topics in Discrete Optimization: Polyhedral Structure of Capacitated Trees and Approximation Algorithms for Scheduling, September 1989

Luo, Zhi-Quan (Tom) - Communication Complexity of Some Problems in Distributed Computation, September 1989

Webb, Ian R. -  Period and Phase of Customer Replenishment: A New Approach to Inventory / Routing Problem, June 1989

Abraham, Magid M. -  Retailer Forward Buying of Consumer Goods, June 1988

Bertsimas, Dimitris J. -  Probabilistic Combinatorial Optimization Problems, September 1988

Boyd, E. Andrew -  Optimization Problems on Greedoids, February 1988

Thompson, Paul M. -  Local Search Algorithms for Vehicle Routing and Other Combinatorial Problems, June 1988

Wagner, Janet M. -  Stochastic Programming and Recourse Applied to Groundwater Quality Management, June 1988

Gordon, Ethel-Sherry -  New Problems in Queues: Social Injustice and Server Production Management, June 1987

Marujo, Ernesto -  Dynamic Allocation of Machines to Product Families in the Presence of Setup Delays, September 1987

Qiu, Yuping -  Sensitivity Analysis for Variational Inequalities, June 1987

Chapman, Paul T. -  Decision Models for Multistage Production Planning, February 1986

Cox, Jr., Louis A. -  Mathematical Foundations of Risk Measurement, June 1986

Hiller, Randall -  Stochastic Programming Approximation Methods with Applications to Multistage Production Planning, September 1986

Leung, Janny M. Y. -  Polyhedral Structure of Capacitated Fixed Charge Problems and A Problem in Delivery Route Planning, February 1986

MacDonald, Bruce -  A Generalized Model for the Prediction of Controller Intervention Rates in the En Route Air Traffic Control System, September 1986

Schaack, Christian -  Cutoff Priority Queues: A Methodology for Police Patrol Dispatching, February 1986

Tseng, Paul -  Relaxation Methods for Monotopic Programming Problems, June 1986

Yee, James R. -  Distributed Routing and Flow Control Algorithms for Communications Networks, February 1986

Bienstock, Daniel -  Large-Scale Reliability, September 1985

Haimovich, Mordecai -  Large Scale Geometric Location Problems, February 1985

Hammond, Janice H. -  Solving Asymmetric Variational Inequality Problems and Systems of Equations with Generalized Nonlinear Programming Algorithms, February 1985

Lo Faso, Anthony J. -  On the Optimal Allocation of Prison Space, February 1985

Lamar, Bruce W. -  Network Design Algorithms with Applications to Freight Transportation, September 1985

Minkoff, Alan S. -  Real-Time Dispatching of Delivery Vehicles, September 1985

Vande Vate, John H. -  The Linear Matroid Parity Problem, February 1985

Batta, Rajan -  Facility Location in the Presence of Congestion, September 1984

Kaplan, Edward H. -  Managing the Demand for Public Housing, June 1984

Luque, Fernando Javier Rodilla -  Nonlinear Proximal Point Algorithms, June 1984

Matsuo, Hirofumi -  The Capacitated Lot Size Problems, June 1984

Bier, Vicki M. -  A Measure of Uncertainty Importance for Components in Fault Trees, February 1983

Constantopoulos, Panagiotis C. -  Computer-Assisted Control of Electricity Usage By Consumers, June 1983

D'Aversa, Joseph Salvatore -  Numerical Methods for Group Theoretic Integer Programming, June 1983

Huang, Kuan-Tsae -  Query Optimization in Distributed Databases, February 1983

Chandru, Vijaya -  Complexity of the Super-Group Approach to Integer Programming, September 1982

Chiu, Samuel S. -  Location Problems in the Presence of Queuing, February 1982

Kalish, Shlomo -  Control Variables in Models of Innovation Diffusion, June 1982

Sarkar, Debashish -  Energy Economics and Optimization: A Synthesis, February 1982

Roth, Emily J. -  An Investigation of the Transient Behavior of Stationary Queuing Systems, June 1981

Valor-Sabatier, Josep -  Diagnostic Analysis of Inventory Systems, June 1981

Sadiq, Ghazala -  Facility Location Problems in Spaces with Discontinuities in the Travel Medium, June 1981

Sempolinski, Dorothy -  Inverse Optimization Applied to Fixed Charge Models, February 1981

Yanasse, Horacio H. -  Aggregation and Computational Complexity of Lot Size Problems, September 1981

Livne, Zvi A. -  The Role of Time in Negotiations, September 1979.

Berman, Oded -  Dynamic Positioning of Mobile Servers on Networks, February 1978.

Modiano, Eduardo M. -  Normative Models for Optimal Seismic Design, June 1978.

Pariente, Silvia -  Mathematical Programming Approaches to Modeling Technological Change, with Applications to the Energy Sector, June 1978.

Shepardson, Wilfred B. -  A Lagrangean Relaxation Algorithm for the Two Duty Period Scheduling Problem, June 1978.

Bloom, Jeremy A. -  A Mathematical Model of Fuel Distribution in New England, September 1978.

Eriksen, Steven E. -  Policy Oriented Multi-Equation Models of U.S. Domestic Air Passenger Markets, September 1977.

Bitran, Gabriel R. -  Admissible Points and Vector Optimization: A Unified Approach, February 1975.

Cretin, Shan A. -  A Model of the Risk of Death from Myocardial Infarction, February 1975.

Mirchandani, Pitu B. -  Analysis of Stochastic Networks in Emergency Service Systems, February 1975.

Hauser, John R. -  A Normative Methodology for Predicting Consumer Response to Design Decisions: Issues, Models, Theory and Use, June 1975.

Boyle, Brian Edward -  Computer-Aided Therapeutic Diagnosis, June, 1974.

Handler, Gabriel Y. -  Minimax Network Location: Theory and Algorithms, September, 1974

Bell, David -  The Resolution of Duality Gaps in Discrete Optimization, September 1973.

Mehta, Cyrus -  Multi period Adaptive Control of the Wellhead Price of Natural Gas: A Bayesian Decision Theoretic Approach, September 1973.

Rousseau, Jean-Marc -  A Cutting Plane Method for the Fixed Cost Problem, September 1973.

Oliver, Robert M. -  The Design and Error Analysis of a Production and Inventory Control System, June, 1957.

Little, John D.C. -  Use of Storage Water in a Hydroelectric System, February 1955.

Masters Theses by Year

Habel, Matthew  An Analytical Framework for Planogram Optimization, June 2024

Jiang, Qingxuan  Choice Modeling and Assortment Optimization on the Transformer Model, February 2024

Pieper, Brenton A.  Reinforcement Learning for Cybersecurity Risk Assessment of Advanced Air Mobility Systems, June 2024

Robin, Arnaud  Robust Inventory Induction under Demand Uncertainty, February 2024

Robins, Matthew  Enhancing Middle Mile Inventory Management Policies Through Simulation and Reinforcement Learning, June 2024

Angevine, Kathryn  Multi-Modal Transit Time Prediction for E-Commerce Fulfillment Optimization and Carbon Emissions Reduction, June 2023

Benbaki, Riade  Topics in Sparsity and Compression: From High dimensional statistics to Overparametrized Neural Networks, June 2023

Luciano Rivera , Gianpaolo Data-driven Clustering for New Garment Forecasting, June 2023

Ramé, Martin  Branch-and-Price for Prescriptive Contagion Analytics, June 2023

Reubenstein, Rebecca  Equitable Community Health Worker Deployment in sub-Saharan Africa: A Modeling Framework for Stochastic Health Progression, June 2023

Siegel, Benjamin M.  Innovative Supply Chain Cyber Risk Analytics: Unsupervised Clustering and Reinforcement Learning Approaches, June 2023

Blanks, Lindsey  Operational Scheduling of Deep Space Radars for Resident Space Object Surveillance, May 2022

Groszman, Kenny  Sequential Optimization for Prospective Patient Segmentation and Content Targeting, May 2022

Guinet, Gauthier Marc Benoit  Bandit Problems under Censored Feedback​, September 2022

Humphries, Samuel S.  Analytics for Sustainable Logistics: Fuel Efficiency and Hydrogen Planning, May 2022

Niu, Yumeng  Optimal Targeting under Gender Fairness, May 2022

Slavov, Stanislav  Causal Inference: Heterogeneous Effects and Non-stationary Environments, May 2022

Wyler, Paige  Developing a Decision-Making Framework for Carbon: Incorporating Carbon into Optimized Business Objectives, May 2022

Escribe, Célia  Reducing Physician Burnout and Costs in Outpatient Healthcare Settings via Advanced Analytics, June 2021.

Georgescu, Andreea  Inventory Positioning in Modern Retail, February 2021.

Halem, Zachery M.  Financing Fusion Energy, June 2021.

Kaw, Neal  Preventing Opioid Overdose: From Prediction to Operationalization, June 2021.

Kendall, Thomas P.  Optimizing Weapon Precision, June 2021.

Killian, Daniel T.  Operational Innovations to Improve Malawi's HIV Sample Transportation Network, June 2021.

Koch, Matthew  Air Force Crew Scheduling: An Integer Optimization Approach, June 2021.

Yuan, Matthew  An EM algorithm for Lidar deconvolution, June 2021.

Burnham, Katherine Lee  Information Fusion for an Unmanned Underwater Vehicle through Probabilistic Prediction and Optimal Matching, June 2020.

Dan, Or  Improving Prior Knowledge Assessment in Process Characterization, June 2020.

Dimaki, Georgia  Dynamic Node Clustering in Hierarchical Optical Data Center Network Architectures, September 2020.

Emschwiller, Matt V.  Understanding Neural Network Sample Complexity and Interpretable Convergence-guaranteed Deep Learning with Polynomial Regression, June 2020.

Graham, Justin W.  School Choice: A Discrete Optimization Approach, June 2020.

Liu, Jessamyn  Anomaly Detection Methods for Detecting Cyber Attacks in Industrial Control Systems, September 2020.

Lukin, Galit  Prescriptive Methods for Adaptive Learning, June 2020.

McIntyre, Colin Alex  Optimizing Inbound Freight Mode Decisions, June 2020.

Poullet, Julie  Leveraging Machine Learning to Solve the Vehicle Routing Problem with Time Windows, June 2020.

Blanks, Zachary D . A Generalized Hierarchical Approach for Data Labeling, June 2019.

Guenon des Mesnards, Nicolas  Identifying and Assessing Coordinated Influence Campaigns on Social Networks, June 2019.

Thomas, Merin  Intelligent Supplies Replenishment Process, June 2019.

Zhang, Rebecca  Interpretable Machine Learning Methods for Stroke Prediction, September 2019.

Zhu, Jessica H.  Detecting Food Safety Risks and Human Trafficking Using Interpretable Machine Learning Methods, June 2019.

Dedieu, Antoine  Sparse learning: Statistical and Optimization perspectives, June 2018.

Furtado, Jazmin D.  Applications of Healthcare Analytics in Reducing Hospitalization Days, June 2018.

Herrling, Austin Donald  Optimization of Micro-Coaxial Wire Routing in Complex Microelectronic Systems, June 2018.

Xu, Sharon  Modeling Human Dynamics and Lifestyles using Digital Traces, June 2018.

Vanden Berg, Andrew M.  Optimization-Simulation Framework to Optimize Hospital Bed Allocation in Academic Medical Centers, September 2018.

Anoun, Amine  A Data-Driven Approach to Mitigate Risk in Global Food Supply Chains, June 2017.

Candela Garza, Eduardo  Revenue Optimization for a Hotel Property with Different Market Segments: Demand Prediction, Price Selection and Capacity Allocation, September 2017.

Mariadassou, Shwetha Paramananda  Relative Performance Transparency: Effects on Sustainable Purchase and Consumption Behavior, June 2017.

Morse, Steven T.  Persistent Cascades and the Structure of Influence in a Communication Network, June 2017.

Scully, Timothy  Redesigning Liver Allocation Regions through Optimization, June 2017.

Webb, Matthew Robert  Inferring User Location from Time Series of Social Media Activity, June 2017.

Lee, Peter Alexander  Think Global, Act Local When Estimating a Sparse Precision Matrix, June 2016.

Mundell, Lee Carter  Predicting Performance Using Galvanic Skin Response, June 2016.

Rajagopalan, Krishnan  Interacting with Users in Social Networks: The Follow-back Problem, June 2016.

Saroufim, Carl Elie  Internet of Things and Anomaly Detection for the Iron Ore Mining Industry, June 2016.

Saunders, Zachary Clayton  Multi-target Tracking via Mixed Integer Optimization, June 2016.

Borjian Boroujeni, Setareh  Optimization of Yard Operations in Maritime Container Terminals, June 2015.

Hanley, Zebulon James  Delay Characterization and Prediction in Major U.S. Airline Networks, June 2015.

Harris, William Ray  Anomaly Detection Methods for Unmanned Underwater Vehicle Performance Data, June 2015.

Lepird, John R.  Multi-Objective Optimization of Next-Generation Aircraft Collision Avoidance Software, June 2015.

Rhee, Donguk  Faster Fully Polynomial Approximation Schemes for Knapsack Problems, June 2015.

Rizzo, Ludovica  Price Incentives for Online Retailers using Social Media Data, June 2015.

Rossillon, Kevin Joseph  Optimized Air Asset Scheduling Within a Joint Aerospace Operations Center (JAOC), June 2015.

Schonfeld, Daniel  Dynamic Prediction of Terminal-Area Severe Convective Weather Penetration, June 2015.

Sheth, Mallory  Predicting Mortality for Patients in Critical Care: a Univariate Flagging Approach, June 2015.

Testa, Mariapaola  Modeling and Design of Material Recovery Facilities: Genetic Algorithm Approach, June 2015.

Epstein, Christina  An Analytics Approach to Hypertension Treatment, June 2014.

Fast, Shannon M.  Pandemic Panic: A Network-based Approach to Predicting Social Response During a Disease Outbreak, June 2014.

Jernigan, Nicholas R.  Multi-modal, Multi-period, Multi-commodity Transportation: Models and Algorithms, June 2014.

Kim, Louis Y.  Estimating Network Structure and Propagation Dynamics for an Infectious Disease: Towards Eective Vaccine Allocation, June 2014.

Paynter, Jonathan L.  Optimized Border Interdiction, June 2014.

Sahyoun, Alexandre Paul  Application of Aircraft Sequencing to Minimize Departure Delays at a Busy Airport, June 2014.

Williams, Mark J  Column Generation Approaches to the Military Airlift Scheduling Problem, June 2014.

Bunting, Zachary S.  Improving Performance through Topology Management and Wireless Scheduling in Military Multi-hop Radio Networks, June 2013.

Culver, David M.    Robust Reconnaissance Asset Planning Under Uncertainty, June 2013.

Frost, Emily Anne   Robust Planning for Unmanned Underwater Vehicles, June 2013.

Kessler, John M   United States Air Force Fighter Jet Maintenance Models: Eectiveness of Index Policies, June 2013.

Lepage, Pierre-Olivier  Performance of Multiple Cabin Optimization Methods in Airline Revenue Management, June 2013.

Relyea, Stephen L.   An Analytics Approach to Designing Clinical Trials for Cancer, June 2013.

Robinson, Eric John  Coordinated Planning of Air and Space Assets: An Optimization and Learning Based Approach, June 2013.

Bradwick, Matthew E.    Belief Propagation Analysis in Two-Player Games for Peer-Influence Social Networks, June 2012.

Crimmel, Brian A.    A Priori and On-line Route Optimization for Unmanned Underwater Vehicles, June 2012.

Evans, Jane A.    Modeling Social Response to the Spread of an Infectious Disease, June 2012.

Parandehgheibi, Marzieh  Survivable Paths in Multilayer Networks, June 2012.

Wang, Hai   Approximating the Performance of a Last Mile Transportation System, June 2012.

Cates, Jacob Roy    Route Optimization Under Uncertainty for Unmanned Underwater Vehicles, June 2011.

Cho, Philip Y.    Optimal Scheduling of Fighter Aircraft Maintenance, June 2011.

Howard, Nicholas J.    Finding Optimal Strategies for Influencing Social Networks in Two Player Games, June 2011.

Boyer, Christopher A.    Statistical Methods for Forecasting and Estimating Passenger Willingness-to-Pay in Airline Revenue Management, June 2010.

Chaiwanon, Wongsakornt    Capacity Planning and Admission Control Policies for Intensive Care Units, September 2010.

Chiraphadhanakul, Virot    Routing and Scheduling Models for Robust Allocation of Slack, June 2010.

Diwan, Sarvee    Performance of Dynamic Programming Methods in Airline Revenue Management, June 2010.

Frumin, Michael S    Automatic Data for Applied Railway Management: Passenger Demand, Service Quality Measurement, and Tactical Planning on the London Overground Network, June 2010.

Gupta, Shubham    Transient Analysis of D(t)/M(t)/1 Queuing System with Applications to Computing Airport Delays, June 2010.

Herold, Thomas Michael    Asynchronous, Distributed Optimization for the Coordinated Planning of Air and Space Assets, June 2010.

Hung, Benjamin W. K.    Optimization-Based Selection of Influential Agents in a Rural Afghan Social Network, June 2010.

Rajagopalan, Shreevatsa   Distributed Averaging in Dynamic Networks, September 2010.

Seidel, Scott B.    Planning Combat Outposts to Maximize Population Security, June 2010.

Shenk, Kimberly N.    Patterns of Heart Attacks, June 2010.

Snyder, Ashley M.    Data Mining and Visualization: Real Time Predictions and Pattern Discovery in Hospital Emergency Rooms and Immigration Data, June 2010.

Vaze, Vikrant    Calibration of Dynamic Traffic Assignment Models with Point-to-Point Traffic Surveillance, June 2010.

Yang, Lang    Modeling Preferences for Innovative Modes and Services: A Case Study in Lisbon, June 2010.

Marks, Christopher E.  - Optimization-Based Routing and Scheduling of IED-Detection Assets in Contemporary Military Operations, June 2009.

Negron, Blair Ellen Leake  - Operational Planning for Multiple Heterogeneous Unmanned Aerial Vehicles in Three Dimensions, June 2009.

Sasanuma, Katsunobu  - Policies for Parking Pricing Derived from a Queueing Perspective, September 2009.

Soldner, Mallory Jo  - Passenger-Centric Ground Holding: Including Connections in Ground Delay Program Decisions, June 2009.

Flietstra, Bryan C.  - A Data Mining Approach for Acoustic Diagnosis of Cardiopulmonary Disease, June 2008.

Foreman, John William  - Optimized Supply Routing at Dell Under Non-Stationary Demand, June 2008.

Gaudet, Megan  - Harmonization of Aviation User Charges in the North Atlantic Airspace, June 2008.

Guo, Jingqiang Charles  - Estimation of Sell-up Potential in Airline Revenue Management Systems, June 2008.

Le Guen, Thibault  - Data-driven pricing, September 2008.

Limpaitoon, Tanachai  - Real-time Multi-Period Truckload Routing Problems, February 2008.

Murphy, Maurice D.  - Tropical Cyclone Preparedness and Response: Opportunities for Operations Research, June 2008.

Noyes, Clay W.  - Analysis and Optimization of the Emergency Department at Beth Israel Deaconess Medical Center via Simulation, June 2008.

Quinteros, Martin  - Managing Portfolios of Products and Securities, September 2008.

Siow, Christopher  - Analysis of Batching Strategies for Multi-Item, February 2008.

Ye, Yunqing  - Joint Pricing and Inventory Decision for Competitive Products, February 2008.

Bryant, Corban Harrell  - Robust Planning for Effects-Based Operations, June 2006.

Guo, Kenrick  - Examining Financial Puzzles From An Evolutionary Perspective, February 2006.

Hanowsky, Michael  - A Tool to Support the Planning of Ground Delay Programs Subject to Uncertain Arrival Capacities, June 2006.

McAllister, Daniel B.  - Planning with Imperfect Information: Interceptor Assignment, June 2006.

Sakamoto, Philemon  - UAV Mission Planning Under Uncertainty, June 2006.

Shah, Premal  - No-arbitrage Bounds on American Put Options with Single Maturity, June 2006.

Zhou, Xinfeng  - Application of Robust Statistics to Asset Allocation Models, June 2006.

Chandler, Lincoln J . - A Decision Analytic Approach to Web-Based Clinician Training, February 2005.

Hickman, Randal E.  - Interception Algorithm for Autonomous Vehicles with Imperfect Information, June 2005.

Malasky, Jeremy S.  - Human Machine Collaborative Decision Making in a Complex Optimization System, June 2005.

Mostagir, Mohamed - Fully Polynomial Time Approximation Schemes for Sequential Decision Problems, September 2005.

Tardy, Raphaël  - Optimization Models and Algorithms for Large-Scale, Capacity Constrained Pick-up and Delivery Problems with Time WIndows, June 2005.

Weber,Theophane  - Conditional Dynamics of Non-Markovian, Infinite-Server Queues, June 2005.

Wroten, Matthew C.  -Coordinated Dynamic Planning for Air and Space Operations, June 2005.

Yamanaka, Shiro  -The Impact of Infrastructure-Related Taxes and Fees on Airline Fares in the US and the European Union, June 2005.

Agbokou, Biova  - Robust Airline Schedule Planning: Review and Development of Optimization Approaches, June 2004.

Alighanbari, Mehdi  - Task Assignment Algorithms for Teams of UAVs in Dynamic Environments, June 2004.

Jeffreys, Christopher G.  - Support Vector Machine and Parametric Wavelet-Based Texture Classification of Stem Cell Images, June 2004.

Key, Jonathan Ramsay  - Routing in Probabilistic Networks, June 2004.

Koepke, Corbin G.  - Multi-Mission Optimized Re-Planning in Air Mobility Command's Channel Route Execution, June 2004.

Sarmadi, Sepehr  - Minimizing Airline Passenger Delay through Integrated Flight Scheduling and Aircraft Routing, June 2004.

Tanizar, Ketty  - Alternatives to the Gradient in Optimal Transfer Line Buffer Allocation, September 2004.

Timmers, Kendell M.  - Learning Together Better: The Structured Design of Learning Teams, June 2004.

Varol, Nebibe  - Inventory Deployment and Market Area Segmentation in a Two-Echelon Distribution Network Design, June 2004.

Ergun, Ayla  Optimal Scheduling of Radiotheraphy and Angiogenic Inhibitors, February 2003.

Seyhan, Murat  Private Risk and an Example From the Pharmaceutical Industry, February 2003.

El Alj, Yasmine  Estimating the True Extent of Air Traffic Delays, June 2003.

Mao, Ye  A Profit Maximization Model in a Two-Echelon Supply Chain Management: Distribution and Pricing Strategies, June 2003.

Phomma, Maxime  Product Development Collaboration Between Original Equipment Manufacturers and After Market Suppliers, June 2003.

Xu, Ping  Approximate Expected Delay for a Nonstationary Queue and an Application to Air Traffic Control, June 2003.

Zarybnisky, Eric J.  Allocation of Air Resources Against an Intelligent Adversary, June 2003.

Yee, Michael  Solving Network Equilibrium Problems in Static and Dynamic Environments, September 2003.

Amonlirdviman, Kevin   The Dynamics of Global Financial Crises, June 2002. 

Bart, Yakov Y.  Determinants and Consequences of Trust in Online Environment, September 2002.

Kang, Seong-Cheol  Algorithms for Routing Problems in Stochastic Time-Dependent Networks,  June 2002. 

Nielsen, Christopher A.  Large-Scale Network Design using Composite Variables:An Application to Air Mobility Command's 30-day Channel Route Network, June 2002. 

Schorr, Raphael Avram  On the Explanatory Value of Condition Numbers for Convex Optimization: Theoretical Issues and Computational Experience, September 2002. 

Shioda, Romy  Restaurant Revenue Management, June 2002.

Achy-Brou, Aristide C.E.  A New Approach to Multistage Serial Inventory Systems, February 2001. 

Barth, Christopher   Composite Mission Variable Formulation For Real-Time Mission Planning, June, 2001. 

Chandra, Anurag  Algorithms for Locomotive Scheduling, February 2001. 

Clark, Steven J.  Large-Scale Optimization Planning Methods for Distribution and Transportation. Logistics: An Application to Contingency Munitions, June, 2001. 

Duran Murrieta, Rodolfo  Effects of Supply Chain Strategy in Distribution Networks, February 2001. 

Idris, Husni Rifat  Queuing Dynamics and Control of Departure Operations at Boston Logan Airport, February 2001. 

Jang, Young Jae   Multiple Part Type Decompostion Method in Manufacturing Processing Line, June, 2001. 

Moffitt II, Jeffrey D.  Applying the Metrics Thermostat to Naval Acquisitions for Improving the Total Ownership Cost-Effectiveness of News Sytems, June, 2001. 

Theatte, Kermit  Tactical Shipping and Scheduling at Polaroid with Dual Lead Times, June, 2001. 

Toubia, Olivier  Interior-Point Methods Applied to Internet Conjoint Analysis, February 2001. 

Werner,Loren M.  Analysis and Design of Closed Loop Manufacturing Systems, September, 2001.

Andersson, Kari    Potential Benefits of Information Sharing During the Arrival Process at Hub Airports, June 2000. 

Cohen, Jonathan E. W.  Safety at What Price?: Setting Anti-terrorist Policies for Checked Luggage on US Domestic Aircraft, June 2000. 

Coumeri, Marc H.   Dynamic Pricing in a Competitive Environment: A Learning Approach September 2000. 

Gzouli, Omar  Comparison of Scheduling Policies by Simulation, June 2000. 

Kachani, Soulaymane  Analytical Dynamic Traffic Flow Models: Formulation, Analysis and Solution Algorithms, February 2000. 

McKeever, Scott D.  Path Planning for an Autonomous Vehicle, June 2000. 

Messmacher, Eduardo B.  Models for Project Management, June 2000. 

Muharremoglu, Alp  The Aircraft Sequencing Problem with Arrivals and Departures, February 2000. 

Sursock, Jean-Paul  The Cross Section of Expected Stock Returns Revisited, June 2000.

Bratu, Stephane  Network Value Concept in Airline Revenue Management, February 1999.   Lee, Pei Ting  Dynamic Programming Model for Mortgage Refinancing Problem with Stochastic Interest Rates, June 1999. 

Lohatepanont, Manoj  Incremental Airline Schedule Design, February 1999. 

Marandon, Eric  The Hermite Black-Scholes Formula: Relating Option Prices to Moments of the Underlying Asset, June 1999. 

Taneja, Hemant  A Tactical Planning Model for a Semiconductor Wafer Fabrication Facility, June 1999. 

Tziligakis, Constantine N. Relaxation and Exact Algorithms for Solving Mixed Integer-Quadratic Optimization, September 1999. 

Wike, Carl E.  Supply Chain Optimization: Formulations and Algorithms, February 1999.

Al-kibsi, Gassan Ahmed  Optimal Product Assortment for Consumer Packaged Goods Retailers, June 1998. 

Cervantes, Jose A.  Effective Modeling of Throughput in Semiconductor Assembly Processes, February 1998. 

Chew, Elaine  Multiperiod Portfolio Optimization: Feynman Diagrams and Approximate Dynamic Programming, June 1998. 

Coop, Andrew E.  Contingency Munitions Logistics Planning and Control: A Framework for Analysis, June 1998. 

Kassab, Hisham I.  Scheduling in Packet Radio Networks, June 1998. 

Krishnan, Niranjan  Design of Large Scale Transportation Service Networks with Consolidation: Models, Algorithms and Applications, February 1998. 

Lauprette, Geoffrey J.  Some Aspects of the Optimal Grouping of Stocks, February 1998. 

Liu, Wenyun  Winning the Competitive Edge in the DRAM Market: A System Dynamics Analysis, February 1998. 

Ouyang, Li  An On-line Shopping Study, June 1998. 

Rifkin, Ryan M.  The Single Airport Static Stochastic Ground Holding Problem, June 1998.

  Shanbhag, Vinayak V.  Optimal Control Systems in Response to Diverse Electricty Pricing Structures, February 1998. 

Tan, Too-Ping  Extensions of the Minimum Cut Problem and Their Applications in Airfield Cutting, February 1998.

Bowman, Jeremy M.  Analysis and Optimization of a Biotechnology Service Operation, June 1997. 

Clarke, Michael Dudley Delano  An Introduction to the Airline Recovery Problem, June 1997. 

Guastalla, Guglielmo  An Advanced Algorithm for Air Traffic Flow Management, June 1997. 

Liao, Te-San  Modeling and Cost Analysis of Global Logistics and Manufacturing System, June 1997. 

Nemec, Joseph Edward  A Quantity Scheduling Language for Manufacturing Systems, June 1997. 

O'Dell, Susan W.  Optimal Control Strategies for a Rail Transit Line, June 1997. 

Sheel, Minakshi  Probabilistic Analysis of Ground-Holding Strategies, February 1997.

Chopra, Sameer  Efficient Scenario Evaluations Using the Nested Logit Model, June 1996. 

Choy, Brenda P-T.  Analyzing Total Distance in Vehicle Routing Problems, June 1996.

D'Amato, Rebecca M.  Allocating Housing Resources for a Psychiatric Program, June 1996.

Escobar Fernandez de la Vega, Marcos  Systematic Procedure to Meet Specific Input/Output Constraints in the l1-optimal Control Problem Design, June 1996. 

Ma, Chien  Models and Algorithms for a Stochastic One Machine Sequencing Problem, June 1996. 

Sylla, Abdoul K.  Portfolio Optimization Using Non-Gaussian Return Distributions, June 1996. 

Wang, I-Lin  Implementing the Premultiplier Method for Minimum-Cost Flow Problem, February 1996. 

Willems, Sean P.  Strategic Safety Stock Placement in Integrated Production/Distribution Systems, June 1996. 

Young, Janice M.  Decoding of a Markov Process with Imperfect State Information, June 1996.

Al-Othman, Abdulwahab N.  Analysis of Vaidya's Volumetric Cutting Plane Algorithm, September 1995. 

Armacost, Andrew P.  Modeling Railroad Terminal Operations: Supporting Real-Time Network Planning and Control, June 1995. 

Chiu, Kenneth  Generalized Gaussian Covariance Analysis in Multi-Market Risk Assessment, February 1995. 

Chu, Michael Yi Xin  Combining Heuristics and Integer Programming for Optimizing Job Shop Scheduling Models, February 1995. 

Fournier, Renaud R.  Analyzing Scanner Data for Manufacturing Planning, June 1995. 

Giancola, Augusto Rafael Some Tools for Event Frequency Decomposition and Heterogeneous Transfer Line Analysis, June 1995. 

Kostiner, Barry J.  Spatial Market Equilibrium for Resistive Electric Networks, February 1995. 

Lakshmi, Viswanathan  Genetic Algorithms for Uncapacitated Network Design, February 1995. 

Lee, Fung-Man  Studies in Time Series Analysis and Forecasting of Energy Data ,June 1995. 

Merrill, N'Gai  A Multi-Period General Equilibrium Model of Long-Term Environmental Policy Using Overlapping Generations, June 1995. 

Mori, Yutaka  Demand for Interactive Television, February 1995. 

Reiss, Stan  Message Routing in Level 1 of the Wide-Band All-Optical Network ,June 1995. 

Ying, Yee-Chien Calvin  How Can Improved Weather Forecasting Accuracy Reduce Air Traffic Delays?, September 1995.

Ahn, Sungsu  Construction and Implementation of Real-Time Scheduling Algorithms in a Computer Aided Fabrication Environment, February 1994. 

Ansari, Mohsinuddin  A Queueing Analysis of a Buffered Block-Selective S-ARQ Protocol, June 1994. 

Brodsky, Valery  Optimization Methods for Topological Design of Interconnected Ring Networks, February 1994. 

Chu, Qin  A Dynamic and Stochastic Model for Distribution of Empty Containers, June 1994.

Chu, Ronald W.Y.  Finding a Cycle with Maximum Profit-to-Time Ration - An Application to Optimum Deployment of Containerships, June 1994. 

Datta, Sougata  CEPH Fingerprints and Their Analysis, June 1994. 

Fang, Yue  A Sequential Approach for Estimating Two-factor Interactions, June 1994.

  Gopalakrishnan, Srimathy  Optimization Models for Production Planning in Metal Sheet Manufacturing, February 1994. 

Hauksson, Arni G.  Management of the Marketing Mix, Using Models Based on Household Level Data, February 1994. 

Hocker, Guy A.  Airport Demand and Capacity Modeling for Flow Management Analysis, February 1994. 

Humair, Salal  An Approach to Solving Constraint Satisfaction Problems Using Asynchronous Teams of Autonomous Agents, September 1994. 

Kaufman, Alan  Data and Algorithms for Genomic Physical Mapping, September 1994. 

Kuo, Yu-Ting  Some Estimates of the Value of Software, June 1994. 

Maragos, Spyridon A.  Revenue Management for Ocean Carriers: Optimal Capacity Allocation with Multiple Nested Freight Rate Classes, June 1994. 

Murti, Kamala P.  Static and Dynamic Scheduling in a Two Station Mixed Queuing Network, June 1994. 

Stamatopoulos, Miltiadis A.  A Factory Representation as a Design Tool in a Computer Integrated Manufacturing Environment, June 1994. 

Voigtlaender, Christian H.  Intermodal Freight Transportation - An Integrated Analysis of Strategy and Operations, June 1994. 

Zilberman, Yaron  The Asset Allocator, February 1994.

Burman, Mitchell H.  A Real-Time Dispatch Policy for a System Subject to Sequence-Dependent, Random Setup Times, February 1993. 

Duarte, Maria Cristina  Multiple Product Cycle Time Minimization for Serial Placement Machines, September 1993.

Goranson, Jesse  Looking for Trouble: How Well the FAA's Enhanced Traffic Management System Predicts Aircraft Congestion, September 1993. 

Jeancard, Henri-Pierre  Forecasting Capabilities and Model Diagnostics for Auto-Regressive Conditionally Heteroskedastic Time Series, February 1993.

  López-Arteaga, Alfonso J.  The Dynamic Traffic Assignment Problem in Intelligent Vehicle - Highway Systems, February 1993. 

Malone, Kerry M.  Modeling a Network of Queues Under Nonstationary and Stochastic Conditions, February 1993. 

Mueller, Alexander T.  Optimizing Advertisement Selections and Scheduling, February 1993. 

Pinker, Edieal J.  Computational Experience with a New Workforce-Workflow Scheduling Model, February 1993. 

Rajan, Kavitha  Analysis Of Heuristics For The Hierarchical Network Design Problem, June 1993. 

Shumsky, Robert A.  The Response of the U.S. Air Carriers to the DOT's On-Time Disclosure Rule, June 1993. 

Theodosopoulos, Theodore V.  Worst-Case Identification in l1: Algorithms and Complexity, February 1993. 

Thomke, Stefan H.  Multivariate Quality Control of Flexible Manufacturing Processes, February 1993. 

Vanderbeck, Francois  A Decomposition Approach for Parallel Machine Assignment and Setup Minimization in Electronics Assembly, February 1993. 

Vettas, Lt. Peter C.  Cost and Productibility Optimization of Naval Ship Midship Section, June 1993. 

Zaman, Zia  A Scheduling Package Based on the QIE, February 1993.

Connolly, Stephanie  A Real-Time Policy for Performing Setup Changes in a Manufacturing System, June 1992. 

Elsesser, Kim  The Validation of a Simulation Model for the Allocation of Mental Health Services February 1992. 

Hsu, Lina Y.  The Design of an Assembly Line with Stochastic Task Times, June 1992. 

Longtin, Mark  Sequential Screening in Semiconductor Manufacturing: Exploiting Spatial Dependence, June 1992. 

Misra, Dipanwita (Diane)  Compression and Retrieval of Network Routing Solutions, June 1992. 

Park, Jai-Kue  Consumer Choice Modeling in the Presence of Brand Extension, September 1992. 

Ricard, Michael  A Decomposition Approach to Zero-One Integer Programming, February 1992. 

Robinson, Jonathan D.  A Simulation Testbed for Flow Management in Air Traffic Control, September 1992. 

Stanley, Timothy D.  The Economic Status of American Causalities of the Vietnam War, June 1992. 

Vives, Guillaume-Yves  Real-Time Scheduling of an Assembly Stage in a Production Line, February 1992. 

Vyas, Mary Pressley  Specification of Gaussian Process Models for Asset Returns with Asynchronous or Missing Data, June 1992. 

Anderson, Susan M. L.  On Queue Audience: Calculating Reach and Frequency for Supermarket Television, June 1991. 

Baldi, Martha A.   An Analysis of Quality Control Policies on a Two-Station M/M/1 Production System, June 1991. 

Bucciarelli, Mark   Cluster Sampling Methods for Monitoring Route-Level Transit Ridership, September 1991. 

Chen, Meng-Huai   How Much Cash Should A Bank Maintain? - An Optimization Approach, September 1991. 

Chi, Zhihang   An Adaptive Final Approach Spacing Advisory System: Modeling, Analysis and Simulation, June 1991. 

Ingolfsson, Armann   Run by Run Process Control, September 1991. 

Miller, Jennifer A.  Spatial Interpretation and Statistical Modeling of Boston High School Dropouts, June 1991. 

Milner, Joseph M.  The Assembly Sequence Selection Problem: An Application of Simulated Annealing, June 1991. 

Savari, Serap   Source Coding for Channels with Finite-State Letter Costs, September 1991. 

Schenler, Warren  Robustness Under Uncertainty: A Normative Reduction of Multi-Future,  Multi-Attribute Tradeoffs in Electric Utility Planning, February 1991. 

Svrcek, Tom   Modeling Airline Group Passenger Demand for Revenue Optimization, June 1991 

Vranas, Peter B.   Merchant Fleet Size versus External Trade and Other Relevant Variables: A Statistical Investigation, June 1991. 

Yoshimura, Junichi  Improved Service and Maintenance Through Accident Sequence Precursor Risk Analysis, June 1991. 

Abundo, Stephanie F.  An Approach for Estimating Delays at a Busy Airport, June 1990. 

Chervi, Philippe  A Computational Approach to Probabilistic Vehicle Routing Problems, February 1990. 

Generazio, Hoa  Analysis of First-Term Attrition of Non-Prior Service High-Quality U.S. Army Male Recruits, February 1990. 

Horangic, Basil R.  Some Queueing Models of Airport Delays, February 1990. 

Jacobe de Haut de Sigy, Romuald   Loading Control Policy for a Batch Machine, February 1990. 

Kierszenbaum, Michael   The Impact of Inspection Delays on Quality Contro,l June 1990. 

Kurebayashi, Atsushi  Comparison of Flow Shop Sequencing Models and Methods, June 1990. 

Lemire, Linda Jill   Due-Date Setting and Pricing in a M/M/1 First-Come First-Served Queue, June 1990. 

Ramakrishnan, V. S.  A LaGrange Multiplier Method for Solving Multi-Objective Linear Programs, September 1990. 

Vieira, Luiz F. M.  Computational Tests of Interior Point Algorithms for Linear Programming, June 1990.

Alston, Andrew  - An Integrated System for Tracking of Landmarks on Video Data: TOMAS the Torsional Ocular Movement Analysis System, June 1989

Amblard, Guillaume P. -  Rationale for the Use of Subassemblies in Production Systems: A Comparative Look at Sequential and Arborescent Systems, June 1989

Ballman, Karla V. -  Screening U.S. Donated Blood for HIV, February 1989

Bespolka, Carl G. -  A Framework for Multiple Attribute Evaluation in Electric Utility Planning, June 1989

Caulkins, Jonathan -  Inventory And The Strategic Value of Product-Flexible Manufacturing Systems, February 1989

Dickey, Lynn -  Where Should Safety Stock Be Held to Minimize Costs and Maximize Flexibility, June 1989

Fouska, Nikoletta -  Optimal Location of Discretional Service Facilities on a Network, June 1989

Fujiwara, Tsuneo -  Solving the Schedule Transition Problems Using Optimization Techniques, June 1989

Ingco, Divinagracia I. -  Network Design Problems for Improving Facility Locations, June 1989

Lin Carrie -  Analysis of Open Loop Manufacturing Systems, February 1989

Pappu, Suguna -  A Dual-Ascent Algorithm for Finding an Assembly Test Strategy, September 1989

Schreibman, Ruth -  Structural-Equation Modeling of the Sources of Market Pioneer Advantages: an Empirical Analysis of the Consumer Goods Industry, June 1989

Valdivieso, Teresa -  Discrete Choice Analysis of Demand for Optional Telephone Calling Features, February 1989

Venkatakrishnan, C.S. -  Sentencing Changes and Prison Population: The Transient Effects, February 1989

Badekas, Paris -  Mathematical Modeling of En route of ATC Intervention Rates, June 1988

Berger, llana -  Shipping Strategies in Multi modal Networks Exhibiting Economies, June 1988

Loiederman, Eric -  A Planning Tool for Predicting En Route ATC Conflicts and Designing ATC Sectors, September 1988

Louvet-Boutant, Anne-Claire -  The Bounded Rationality Constraint: Experimental and Analytical Results, June 1988

Mihara, Shoichiro -  A Tactical Model for a Job Shop with Unreliable Work Stations and Capacity Constraints, February 1988

Polychronopoulos, George -  Solution of Some Problems in Decentralized Detection by a Large Number of Sensors, June 1988

Sabanogulu Kohen, Jinet  - The Economics of Product Design: A Model and An Application, June 1988

Saias, Isaac I.  - Study of Probabilistic Noise in One Dimensional Images, June 1988

Srinivasan, K.V. (Cheena)  - Effect of Consumer Categorization Behavior on New Product Sales Forecasting, June 1988

Sy-Quia, lll, Gonzalo  - A Study of Production Loading in a Job Shop, September 1988

Aslidis, Anastasios Haralampos -  Management of Technological Change in the Shipbuilding Industry: A Learning Curve Approach, June 1987

Bertsimas, Dimitris -  An Analytic Approach to a General Class of G/G/s Queuing Systems, February, 1987

Chan, Ga-Yin (Leo)  - INGRID: An Interactive Color Graphics Interface for Dispatch of Emergency Vehicles, June 1987

Emami, Kayvan -  An Investigation of Time Dependent Queues with Priorities, September 1987

Emami, Neda -  Analysis of Duality Constructions for Variable Dimension Fixed Point Algorithms, September 1987

Higgins, Mary-Kay -  Airline Safety: A Comparative Analysis, February 1987

Lee, Anthony -  Nested Decomposition Methods for Vehicle Routing and Scheduling, June 1987

Parrish, Scott H. -  Extensions to a Model for Tactical Planning in a job Shop Environment, June 1987

Redfield, Carol Holmes -  Equipment Selection and Task Assignment for Multi product Assembly System Design, February, 1987

Shell, Martin C. -  Decision Horizons in Multi-Stage Optimization Models: An Analysis of Methods for the Minimization of End-of-Horizon Errors, February, 1987

Berman, Douglas  - The Manned Space Station Power System: An Operational Scheduler, September 1986

Calamaro, Jean-Paul -  Implementation of a Multistage Production Planning Systems, February 1986

Cheatham, John -  Analyzing Service Industries with Applied Quantitative Methods, June 1986

Eckstein, Jonathan -  Routing Methods for Twin-Trailer Trucks, June 1986

Huelskamp, Robert M. -  Aiding USAF/UPT Aircrew Scheduling Using Network flow Models, June 1986

Kee, Jacqueline -  Dispatch Strategies for Some Unusual Bulk Service Queues, June 1986

Marge, Charles -  Explaining Optimal Solutions to Assignment and Transportation Problems, June 1986

Newton, Elizabeth A.C. -  A Clustering Method for Group Viral Samples Based on Antibody Binding Activity, June 1986

Parekh, Abhay K.J. -  Minimizing the Number of Clusters in Mobile Packet Radio Networks, February 1986

Schiodtz, Paul G. -  Competitive Price, Position, and Advertising Strategies, June 1986

Wagner, Janet M. -  Reliability of Water Distribution Systems, February 1986

Wan, Deborah -  Locating New Facilities on a Multi activity, Multi-level Network, June 1986

Chapman, Paul T. -  Optimal Production Capacity in a Two Stage Subject to Production Failure, February 1985

Cox, Jr. Louis A. -  Risk Attribution in the Presence of Joint Causes, February, 1985

Hiller, Randall -  Computer-Aided Planning: A Decision Support Concept for the Corporate Planning Domain, June 1985

Ho, Ping -  The Application of the Cross Impact Analysis to Technological Change, September 1985

Lee, I-Jen - Stationary Markovian Queuing Systems: An Approximation for the Transient Expected Queue Length, June 1985

Richetta, Romano -  Color Graphics for Interactive Optimization of the Hypercube Queuing Model, June 1985

Arcila Agudelo, Adriana -  A Model to Provide Transportation Services for the Elderly and Handicapped, June 1984

Chen, Gloria Hiu-Lai -  Information Theoretic Models of Preprocessors and Decision Aids, June 1984

Leong, Poh Leng -  Multi attribute Queuing Theory, June 1984

Singhal, Vijay M. -  Point-to-Point Package Delivery Systems, September 1984

Smith, Brian -  Coordinated Air Defense, June 1984

Brewster, Silvano -  Optimal Regulators Designed for Implementation on Computationally Limited Computers, February 1983

Magonet-Neray, Robin C. -  Optimal Ship Positions for Naval Battle Group Defense Problems, September 1983

Puente-Angulo, Carlos E. -  A Comparison of Linear and Nonlinear Random Field Estimators, June 1983

Roege, William -  Pilot Scheduling in a Fighter Squadron, February 1983

Tsai, Christopher L. -  Procurement Planning for Reusable Inventory Systems, September 1983

Bardenstein, Ruth -  Optimization of Water Resource Projects with Renewable Resources and Multiple Energy Production: The Mediterranean Sea Project to Produce Hydroelectric and Soar Power, June 1982

Josa, Charles - An Heuristic Decision Procedure for a Precedence Constrained Single-Depot Vehicle Routing Problem, February 1982

O'Rourke, Paul F. -  A Physically A Based Model of the Space conditioning Load Under Spot, February, 1982

Richardson, James -  Regulating Automobile Insurance Residual Markets: A Policy for Controlling the Size of the Pool in Selected Risk Classes, June 1982

Schaack, Christian -  Using the Kth Nearest Neighbor Clustering Procedure to Determine the Number of Subpopulations, June 1982

Ser, Shu -  Analysis of Automatic Vehicle Location Systems Operating in Systems, June 1982

Guillamon-Duch, Higinio -  The Economics of Low Temperature, Liquid-Dominated Hydrothermal Resources, February 1981

Morgan, Kelly B. -  The Incorporation of Uncertainty in the Air Pollution Regulation Process, September 1981

Quek, Ser Aik -  Diagnostics for Econometric Models, September 1981

Stabile, Debra -  The Design of Information Structures: Basic Allocation Strategies for Organization, September 1981

Bendixen, Lisa -  Probability Assessment: Issues of Implementation, September 1980

Brown, Richard -  A Method for Sensitivity Analysis of L.P. Decomposition Equilibrium, with Application to the Copper Industry, February 1980

Habib, Frances -  Investigating Convergence of a Capacity Planning Model Using Generalized Bender's Decomposition, September 1980

Hook, Jack -  Market Impacts of Price Regulation in Automobile Insurance, February 1980

Lamar, Bruce W. - Optimal Machine Selection and Task Assignment in An Assembly System Design Problem, September 1980

Oum, Jai Y. - Harmonic Transformations and Gradient Curves, September 1980

Perakis, Anastassions N. -  A New Probabilistic Detection Model for Phase Random Ocean Acoustic Fluctuations and its Comparison with Data, February 1980

Shavel, Ira H. -  A Dynamic Optimization Model for Studying the Transition from Depletable Resources to New Technologies, September 1979

Brandeau, Margaret L. -  Decision Strategies for Interline Subway Control Systems, February 1978

Cozzi, Claudio -  Simple Models for a Single Route Public Transportation System, June 1978

Golush, William G. - Probabilistic Models for Optimal Seismic Design, February 1978

Sadiq, Ghazala -  Multifleet Routing Problems February 1978

Chen, Royee C. -  Nuclear Reactor Rescheduling Study, February 1977

Sultan, Fareena -  A Simulation Model of Population and Agricultural Growth in a Developing Country: A Case Study of Pakistan, June 1977

Tan, Chang-Bin -  Port Capacity Modeling of GERT and Queuing Network Approaches, June 1977

Weilmuenster, David P. -  Performance Characteristics of Signpost Automatic Vehicle Locating Systems, September 1977

Wexler, Jonathan W. -  A Methodology for Configuring Distributed Real-Time microcomputer Systems, with Applications to Inertial Navigational Systems, June 1977

Aashtiani, Hedayat Z. -  Solving Large Scale Network Optimization Problems by the Out-of-Kilter Method, February 1976

Assad, Arjang A. -  Solution Techniques for the Muti-commodity Flow Problems, June 1976

Bloom, Jeremy A. -  A Mathematical Model of Fuel Distribution in New England, February 1976

Dersin, Pierre L. -  Sensitivity Analysis of Optimal Static Traffic Assignments in a Large Freeway Corridor, Using Modern Control Theory, September 1976

Franck, Evelyn A. -  Implementing Closest Vehicle Dispatching Strategy on the Hypercube Model, February 1976

Laurent, Gilles -  A Dynamic Analysis of the Housing Market in Paris, June 1976

Lim, Joseph A. Y. -  The Effects of Socio-Eco-Demographic Factors and Family Planning Programs on Fertility, February 1976

Matsushita, Masaki -  An Application of Benders Decomposition to Steel Production, February 1976

Talafuse, David W. -  Blood Donor Attitudes and Decisions: An Exploratory Analysis, September 1976

Baldini, Vittorio A. -  Operations Research Problem in the Motion Picture Industry, February 1975

Bitran, Gabriel R. -  Duality and Sensitivity Analysis for Fractional Programs, June 1974

Facet, Tomas B. -  Role of Partial Gradient Estimation by Simulation in Water Resource Plan Formulation, February 1975

Johns, Joseph H. -  Intelligent Computer-Aided Dispatching for Urban Police Patrol Units, September 1975

Oswald, Louis J. -  Preemption - A Visible Strategy?, September 1975

Asser, Sylvain E. T. -  An Algorithm to Solve the Nth Shortest Path Problem, February 1974

Bodily, Samuel E. -  The Utilization of Frozen Red Cells in Blood Banking System: A Decision Theoretic Approach, June 1974

Brinati, Marco A. -  Analysis of the Queuing Process at an Offshore Export Terminal for Dry Bulk Cargo, September 1974

Carlton, Dennis W. -  Modeling the Effects of the Housing Allowance Program, September 1974

DeChatillon, Renaud A. -  Energy Use in the Steel Industry, June 1974

Emami, Kayvan -  An Investigation of Time Dependent Queues with Priorities, September 1974

Falk, Patrick G. -  An Optimal Replacement and Maintenance Strategy for Aircraft, June 1974

Finet, Jean-Marc P. L. -  The Calibration of Nonlinear Models, June 1974

Golden, Bruce -  A Minimum-Cost Multicommodity Network Flow Problem Concerning Imports and Exports, February 1974

Grimm, Ernst  -A Study of the Effect of Advertising on Sales, September 1974

Ulrich, Lionel Y. -  Heuristic Algorithms for Solving a Large Scale Multicommodity Flow Problem on a Network with a Step Function Cost, June 1974

Cruz-Bracho, Pedro Elias -  A Preliminary Simulation Model of Factors Affecting the Nutritional and Health Status of Children in Low-Income Families, September 1973

Layrisse, Francisco Jose -  Applications of Control Theory to Socioeconomic Systems, February 1973

Lingley, Gordon Steward -  Analysis of Interoceanic Canal Alternatives: A System Approach to Decision Making, February 1973

Ovi, Alessandro -  Decision Analysis Applied to Nuclear vs. Fossil Alternatives for Electric Energy Production, February 1973

Bell, David Edwin -  A Utility Theory Approach to Preferences for Money Over Time, June 1972

Calvo, Alberto Bruno -  Location of Health Services Facilities: A Mathematical Programming Approach, February 1972

Campbell, Gregory Lewis -  A Spatially Distributed Queuing Model for Police Patrol Sector Design, June 1972

Gelerman, Walter -  Airline Competitive Games and Airport Utilization, June 1972

Haan, Anders Henrik -  A Screening Model for Water Resource Development: Stochastic Considerations, February 1972

Honda, William Fumio -  Probabilistic Comparison of Automobile Insurance Rating Schemes, September 1972

Horgan, Dennis Neville, Jr. -  A Decision Analysis of Sewage Sludge Disposal Alternatives for Boston Harbor, September 1972

Huang, Alexander Kuang Yu -  A Market Response Model for New Consumer Durables, June 1972

Weymuller, Stanislas Bruno -  Duality Theory and Economic Analysis, June 1972

Carlson, William Edwin -  Scheduling Vehicles on Grid Networks of Automated Guideways, June 1971

Crousillat-Velasco, Cesar Oreste -  Design Considerations for Airport Landing Systems, June 1971

Kanal, Prakash Mulchand -  A Mathematical Model for a Cash Collection System, June 1971

Ketchledge, Bruce Arthur -  Optimal Bounded Control of Stochastic Production/Inventory Systems, September 1971

Rosenfield, Donald Barry -  Effects of Refractoriness in Hearing Models, February 1971

Shapiro, Roy David -  Interlaced Scheduling of Transmit-Receive Pulses, February 1971

Ting, Harold Montford -  Aggregation of Attributes for Multi attributed Utility Assessment, June 1971

Howard, Daniel Dale -  Dynamic Location-Allocation Analysis, September 1970

McDonald, Jarl W. -  The Effects of Free Capacity Transportation Networks on the Distribution of Travel Time and Traffic: A Computer Simulation, June 1970

Robinson, William Owen -  Multivariate Probability Assessment, September 1970

ORC theses and the ORC mission

The theses produced at the ORC are a principle way in which the ORC achieves its mission.

cds official logo

NYU Center for Data Science

Harnessing Data’s Potential for the World

PhD in Data Science

An NRT-sponsored program in Data Science

  • Areas & Faculty
  • Admission Requirements
  • Medical School Track
  • NRT FUTURE Program

Advances in computational speed and data availability, and the development of novel data analysis methods, have birthed a new field: data science. This new field requires a new type of researcher and actor: the rigorously trained, cross-disciplinary, and ethically responsible data scientist. Launched in Fall 2017, the pioneering CDS PhD Data Science program seeks to produce such researchers who are fluent in the emerging field of data science, and to develop a native environment for their education and training. The CDS PhD Data Science program has rapidly received widespread recognition and is considered among the top and most selective data science doctoral programs in the world. It has recently been recognized by the NSF through an NRT training grant.

The CDS PhD program model rigorously trains data scientists of the future who (1) develop methodology and harness statistical tools to find answers to questions that transcend the boundaries of traditional academic disciplines; (2) clearly communicate to extract crisp questions from big, heterogeneous, uncertain data; (3) effectively translate fundamental research insights into data science practice in the sciences, medicine, industry, and government; and (4) are aware of the ethical implications of their work.

Our programmatic mission is to nurture this new generation of data scientists, by designing and building a data science environment where methodological innovations are developed and translated successfully to domain applications, both scientific and social. Our vision is that combining fundamental research on the principles of data science with translational projects involving domain experts creates a virtuous cycle: Advances in data science methodology transform the process of discovery in the sciences, and enable effective data-driven governance in the public sector. At the same time, the demands of real-world translational projects will catalyze the creation of new data science methodologies. An essential ingredient of such methodologies is that they embed ethics and responsibility by design.

These objectives will be achieved by a combination of an innovative core curriculum, a novel data assistantship mechanism that provides training of skills transfer through rotations and internships, and communication and entrepreneurship modules. Students will be exposed to a wider range of fields than in more standard PhD programs while working with our interdisciplinary faculty. In particular, we are proud to offer a medical track for students eager to explore data science as applied to healthcare or to develop novel theoretical models stemming from medical questions.

In short, the CDS PhD Data Science program prepares students to become leaders in data science research and prepares them for outstanding careers in academia or industry. Successful candidates are guaranteed financial support in the form of tuition and a competitive stipend in the fall and spring semesters for up to five years.* We invite you to learn more through our webpage or by contacting  [email protected] .

*The Ph.D. program also offers students the opportunity to pursue their study and research with Data Science faculty based at NYU Shanghai. With this opportunity, students generally complete their coursework in New York City before moving full-time to Shanghai for their research. For more information, please visit the NYU Shanghai Ph.D. page .

Graduate Thesis Or Dissertation

Holistic optimization of data center cooling systems and airflow management public deposited, downloadable content.

phd thesis data center

Data centers are often overcooled to address the reliability concerns, which may lead to a lower cooling efficiency. Model-based optimization in a holistic view can be utilized to improve the cooling efficiency while meeting the stringent thermal requirements of data centers, which usually involve non-uniform thermal environment. The co-simulation of building energy simulation (BES) and computational fluid dynamics (CFD) is promising to fulfill the needs. However, the existing BES-CFD co-simulation methods are not good enough for practical use in the real world because of either huge computational costs with BES-CFD coupled models or accuracy issues with BES-ROM-CFD coupled models that integrate reduced order models (ROMs). This dissertation therefore intends to improve the simulation methods from the following aspects to allow a computationally-practical and sufficiently accurate holistic optimization of cooling systems and airflow management towards energy efficient data centers with reliable operation.

First, as CFD is the bottleneck of the BES-CFD co-simulation speed, this dissertation develops an improved Fast Fluid Dynamics (FFD) model for fast and accurate simulation of data center airflow and thermal environment. FFD, which is a simplified CFD method, has been applied for fast airflow simulation. However, few research applied FFD for optimal design and operation of data center thermal management. This dissertation improves the FFD model for data centers and conducts a comprehensive evaluation and demonstration. The FFD model is improved by 1) proposing new algorithms to solve equations for a better general quantity conservation than conventional FFD; and 2) adding new features and boundary conditions for data centers. The validation with a real data center shows that the new FFD model achieves a similar level of accuracy as CFD when compared to the experimental measurements, and is 61 times faster than CFD for the studied case.

Then, to improve the existing BES-CFD co-simulation methods, this dissertation proposes a new online BES-ROM-CFD co-simulation method. Among existing models, BES-CFD is accurate but time consuming, and BES-ROM-CFD is fast but may have accuracy issues. The proposed online BES-ROM-CFD method combines the advantages of both existing models, in which the ROM allows online learning and automatic error control. This methodology is realized by implementing a Modelica-ISAT-FFD model, which will be officially released in Modelica Buildings library to allow a broader range of applications. The new model is then comprehensively evaluated with a mixed convection case. The results show that the new model can generally control the prediction error within user-defined tolerances compared to an existing Modelica-FFD model that was validated by previous research. An annual simulation shows that the new model saves up to 95.7% of computing time against the existing Modelica-FFD model. A space heating case is also studied to demonstrate the capability of the new model to handle scenarios with feedback loop controls.

To further improve the online BES-ROM-CFD method, this dissertation proposes an adaptive online BES-ROM-CFD method, in which adaptive coupling frequencies are used to reduce the number of ROM-CFD calls during the co-simulation. It is further powered by distributed computing, which allows that BES-ROM runs on a CPU and CFD runs on a GPU in parallel during the co-simulation. Based on the new methods, an adaptive Modelica-ISAT-FFD model is developed, which is verified against an existing Modelica-FFD model with a real middle-size data center. A holistic optimization platform is proposed based on the new model, which is then evaluated and demonstrated with optimization studies. It is found that a holistic optimization with annual co-simulations for a middle size data center in the real world can be finished within a day, which is estimated to take as much as many years if using the existing Modelica-FFD model. The results also show that the holistic optimization saves the annual energy consumption by up to 48.1% while meeting the data center thermal requirements.

In addition to the off-operation model-based optimization, this dissertation further proposes a novel machine learning assisted expert system (MLES) method towards a real-time optimal control for the studied data center cooling system. Model predictive control (MPC) has been widely studied for optimal control. Though it can achieve a good performance theoretically, formulating a precise and real-time model is often not easy especially for complex systems, such as data center cooling systems involving stratified airflow. To address this problem, this dissertation proposes a novel robust and easy-to-implement model-free MLES optimal control method. First, the optimization problem is simplified to allow formulating an expert system based on expert knowledge. Then, a machine learning model trained by more than a thousand of CFD simulations is used to assist the expert system for hot spots control towards reliable operation. A MPC is also implemented as benchmark. The case studies show that the MLES could achieve a similar performance as a well-designed ideal MPC, and is much faster than MPC. An annual simulation shows that with the MLES, the energy consumption is saved by up to 64.6% and meanwhile hot spots are generally well controlled.

To conclude, this dissertation concentrates on improving the data center cooling efficiency while maintaining reliable operation in a holistic view. The outcomes include 1) an open source model for fast simulation of data center thermal environment, 2) an open source model for fast and accurate co-simulation of cooling systems and airflow management, 3) a computationally-practical and sufficiently accurate optimization platform for holistic optimization of cooling systems and airflow management, 4) a novel robust and easy-to-implement optimal control method that simultaneously considers cooling efficiency and reliable operation. The proposed models and methodologies may not be limited in data center applications, which can be expanded for studying other cooling systems involving non-uniform thermal environment in future research.

  • Civil, Environmental, and Architectural Engineering
  • Zuo, Wangda
  • Zhai, John Z.
  • Mukherjee, Debanjan
  • Krarti, Moncef
  • University of Colorado Boulder
  • Data Center
  • Holistic Optimization
  • Simulation Based Optimization
  • Airflow Management
  • Optimal Control
  • Cooling Systems
  • Architectural engineering
  • Dissertation
  • In Copyright
  • English [eng]

Relationships

Thumbnail Title Date Uploaded Visibility Actions
2021-01-12 Public ' $('.canonical-image').after(template) $('.canonical-image').remove() }
2021-01-12 Public ' $('.canonical-image').after(template) $('.canonical-image').remove() }

Information

  • Author Services

Initiatives

You are accessing a machine-readable page. In order to be human-readable, please install an RSS reader.

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess .

Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.

Feature papers are submitted upon individual invitation or recommendation by the scientific editors and must receive positive feedback from the reviewers.

Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.

Original Submission Date Received: .

  • Active Journals
  • Find a Journal
  • Proceedings Series
  • For Authors
  • For Reviewers
  • For Editors
  • For Librarians
  • For Publishers
  • For Societies
  • For Conference Organizers
  • Open Access Policy
  • Institutional Open Access Program
  • Special Issues Guidelines
  • Editorial Process
  • Research and Publication Ethics
  • Article Processing Charges
  • Testimonials
  • Preprints.org
  • SciProfiles
  • Encyclopedia

electronics-logo

Article Menu

phd thesis data center

  • Subscribe SciFeed
  • Recommended Articles
  • Google Scholar
  • on Google Scholar
  • Table of Contents

Find support for a specific problem in the support section of our website.

Please let us know what you think of our products and services.

Visit our dedicated information section to learn more about MDPI.

JSmol Viewer

Evolving high-performance computing data centers with kubernetes, performance analysis, and dynamic workload placement based on machine learning scheduling.

phd thesis data center

1. Introduction

2. technology overview, 2.1. virtualization, 2.2. containerization technology.

  • Efficient resource usage: Containers share the host system’s kernel, eliminating the need for a complete operating system for each instance. This results in lower overhead than virtual machines (VMs), each requiring their own OS, leading to more efficient CPU and memory use. The container’s average performance is generally better than that of the VM and is comparable to that of the physical machine in terms of many features [ 4 ].
  • Faster startup time: Containers can start almost instantly because they do not require booting an entire operating system. In contrast, VMs take significantly longer to start as they need to initialize a whole OS, and the startup time difference from server power-on can be up to 50% [ 23 ]. This speed advantage makes containers ideal for applications that require quick scaling and deployment.
  • Density: Due to their lightweight nature, a single host can run many more containers than VMs. For certain types of workloads, an application container’s startup time is 16× lower than that of a VM, and its memory footprint is 60× lower than that of a VM [ 24 ]. This higher density allows for better utilization of hardware resources, enabling more applications to run on the same infrastructure.
  • Consistency: Containers encapsulate the application and its dependencies, ensuring consistent behavior across different environments. This consistency across development, testing, and production reduces bugs related to environmental differences.
  • Better dependency management: Containers package all the necessary dependencies for an application, eliminating conflicts that arise when applications require different versions of the same dependencies. This encapsulation simplifies dependency management and ensures reliable application performance across various environments.

2.3. BSD Jails

2.4. docker, 2.6. podman, 2.7. kubernetes, 2.8. openshift vs. kubernetes.

  • Parallel Computing: HPC systems rely on parallel computing, where multiple processors perform computations simultaneously. This includes fine-grained parallelism, where tasks are divided into smaller subtasks, and coarse-grained parallelism, where larger independent tasks run concurrently [ 52 ].
  • Multi-Core and Many-Core Processors: These processors have multiple processing cores on a single chip and are connected with high-bandwidth communication links, including a QuickPath Interconnect (QPI) bus [ 53 ].
  • Accelerators and Heterogeneous Computing: HPC systems use accelerators like GPUs, FPGAs, and specialized processing units to handle specific calculations more efficiently than general-purpose CPUs. Heterogeneous computing combines CPUs with accelerators, leveraging the strengths of different processing units to optimize performance [ 54 ].
  • Distributed and Cluster Computing: HPC systems are often organized as clusters of interconnected computers (nodes), each with its own processors, memory, and storage. These clusters can scale to thousands of nodes, handling large datasets and complex simulations. Interconnects like InfiniBand and high-speed Ethernet enable fast node communication [ 57 ].
  • Memory Hierarchy and Storage: Due to the large data volumes processed, efficient memory management is critical in HPC systems. HPC architectures use multi-level memory hierarchies, including cache, main memory, and high-speed storage solutions, to ensure quick data access and minimize latency [ 58 ]. This is why we need a good strategy to port and optimize existing applications to a massively parallel processor (MPP) system [ 59 ].

3. Virtualization vs. Containers

  • Architecture: Virtualization employs a hypervisor to create and manage VMs, each with its own OS. In contrast, Podman runs containers on a shared OS kernel, which reduces overhead and boosts efficiency.
  • Isolation: VMs achieve strong isolation by running separate OS instances. Podman containers provide process and filesystem isolation through namespaces and control groups, which, while less robust, are adequate for many applications.
  • Resource Overhead: Virtualization demands more resources because an entire OS instance is needed per VM. Podman containers are lightweight, sharing the host OS kernel and minimizing resource usage.
  • Performance: VMs generally have higher overhead and can be less efficient. Podman containers deliver better performance and faster startup times since they do not require a full OS boot.
  • Deployment Speed: Deploying VMs takes longer due to OS initialization. Podman containers can be deployed rapidly, making them ideal for quick development and scaling.
  • Resource Allocation: Resource allocation in virtualization is managed through the hypervisor and can be static or dynamic. Podman allows for flexible, real-time resource allocation for containers.
  • Use Cases: Virtualization is well suited for running diverse OS environments, legacy applications, and high-security workloads. Podman excels in microservices, CI/CD pipelines, and modern application development.
  • Security: VMs offer strong security with robust isolation, making them suitable for untrusted workloads. Podman containers are secure but rely on the host OS kernel, which can present vulnerabilities.
  • Maintenance: Managing VMs involves handling multiple OS instances, leading to higher maintenance overhead. Podman containers simplify maintenance by sharing the host OS and dependencies.
  • Compatibility: VMs can run different OS types and versions on a single host. Podman containers are limited to the host OS kernel but can quickly move across compatible environments.

4. Challenges Using Containers for HPC Workloads

  • HPC application problem size and complexity: HPC apps have large datasets and complex calculations that a single processor cannot efficiently manage. Because of this, the problem is divided into many small tasks that can be processed concurrently using multiple processors or nodes [ 13 ].
  • Speed and efficiency: Massively parallel design enables HPC apps to be quickly executed on HPC systems much faster than traditional computing methods. HPC applications can achieve significant speedups by utilizing hundreds, thousands, or more processors in parallel, solving problems much quicker than with a single processor [ 14 ].
  • Scalability: HPC application scalability is essential to HPC application design, especially as datasets grow larger and more complex problems are found, necessitating more computation power. Different parallel algorithms are developed to improve performance as we scale to more processors [ 15 ].
  • MPI (Message Passing Interface): Allows processors to communicate by sending and receiving MPI messages.
  • OpenMP (Open Multi-Processing): This enables us to perform parallel application programming for shared memory architecture.
  • CUDA (Compute Unified Device Architecture): Enables parallel processing on GPUs, often used for HPC because they are massively parallel hardware devices by design [ 24 ]. In GPU parallel programming and a CUDA framework, “kernels” and “threads” are foundational concepts for programming [ 63 ].
  • HPC applications are usually deployed as standard applications, meaning they must be re-packaged into layers and container images if we want to run them in containers. This is a complex process and poses a real challenge. It is like the regular DevOps story of re-architecting a monolith application to be a microservices-based application, only much worse because HPC application libraries tend to be gigabytes and terabytes in size [ 14 ]. And that is even before we start discussing all potential security issues (image vulnerabilities, malware, clear text secrets, configuration issues, untrusted images, etc.) [ 64 ] or potential performance degradation [ 65 ].
  • Even if we manage to package them into containers—which is not a given—we need to be able to run them on a scale, which means running them via Kubernetes. Again, this is not a small task, as understanding Kubernetes architecture, commands, intricacies, and the YAML files we need to create to run applications manually is also very complex.

5. Experimental Setup and Study Methodology

6. testing results.

  • Default scheduler response time—The time required for the Kubernetes cluster to schedule a three-tier web app and for the front of that app to become available using the default Kubernetes scheduler. This is the correct testing methodology for that scenario, as it is only when the front end starts accepting client requests that we can say that the service is scheduled and operational.
  • Custom scheduler response time—The time required for the Kubernetes cluster to schedule a three-tier web app and for the front end of that app to become available by using our Python-based custom scheduler.
  • We could develop a custom scheduler per HPC application to place applications on Kubernetes pods. This would require a lot of time in terms of coding the Kubernetes schedulers, which might or might not work. Furthermore, there is no guarantee that this approach would work across multiple HPC data centers, making the idea less efficient and potentially wrong.
  • We could develop something that acts as if a set of custom schedulers is present, without writing a set of custom schedulers, that could modify workload placement as it gathers information from the environment, learns about it, and then explicitly places workloads (or better yet, offers to place workloads) on a more suitable node or set of nodes. This is why we went with an ML-based idea that completely replaces the concept of writing multiple schedulers for multiple applications, as this process becomes unnecessary.

7. Proposed Platform Architecture for Kubernetes Integration with HPC

Click here to enlarge figure

7.1. Hardware Stack/Layer

7.2. software stack/layer, 7.3. machine learning layer, 7.4. user interface layer, 7.5. monitoring layer, 8. scheduling of hpc workloads on our platform via ml or manual placement, 8.1. manual workload placement, 8.2. ml-based workload placement.

  • POWER usage—A set of timestamped power readings from the PDU socket and server remote management, sampled at configurable intervals. These readings estimate HPC application power requirements, significantly improving the platform’s energy efficiency, especially given time and many workload executions to become even more accurate.
  • HEALTH information—A set of parameters taken from server remote management handling the health states of components, specifically fans, memory health state, power supply health state, power state (redundant or not), processor health state, storage health state, network, and remote management health state and temperatures.
  • CPU, memory, storage, and networking testing results—As the server is provisioned from our platform in multiple passes, pre-determined synthetic and real-life benchmarks are automatically performed and averaged across the configurable number of runs. These bare-metal and containerized benchmarks determine the baseline hardware performance level for all servers added to the system. We use sysbench, stress-ng, hdparm, HPL, HPCC, and HPL with various parameters to gauge performance in single and multi-tasking scenarios.
  • NVIDIA GPU results—A set of pre-determined synthetic and real-life benchmarks is automatically performed. The server with the installed NVIDIA GPU is provisioned from our platform in multiple takes, averaged across the configurable number of runs. We use NVIDIA HPC-Benchmarks for this purpose.
  • FPGA/ASIC availability—For supported FPGA/ASIC controllers, platform users can manually add additional scores per app. Ideally, this would be automated, but it is currently impossible because of the different software stacks used by FPGAs and ASICs.

9. Future Work

10. conclusions, author contributions, data availability statement, conflicts of interest.

  • Đorđević, B.; Kraljević, N.; Davidović, N. Performance Comparison of CPU Hardware-Assisted Features for the Type-2 Hypervisors. In Proceedings of the 2024 23rd International Symposium INFOTEH-JAHORINA (INFOTEH), Jahorina, Bosnia and Herzegovina, 20–22 March 2024. [ Google Scholar ] [ CrossRef ]
  • Chen, Y.-R.; Liu, I.-H.; Chou, C.-W.; Li, J.-S.; Liu, C.-G. Multiple Virtual Machines Live Migration Scheduling Method Study on VMware vMotion. In Proceedings of the 2018 3rd International Conference on Computer and Communication Systems (ICCCS), Nagoya, Japan, 27–30 April 2018. [ Google Scholar ] [ CrossRef ]
  • Shirinbab, S.; Lundberg, L.; Hakansson, J. Comparing Automatic Load Balancing Using VMware DRS with a Human Expert. In Proceedings of the 2016 IEEE International Conference on Cloud Engineering Workshop (IC2EW), Berlin, Germany, 4–8 April 2016. [ Google Scholar ] [ CrossRef ]
  • Li, Z.; Kihl, M.; Lu, Q.; Andersson, J.A. Performance Overhead Comparison between Hypervisor and Container Based Virtualization. In Proceedings of the 2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA), Taipei, Taiwan, 27–29 March 2017. [ Google Scholar ] [ CrossRef ]
  • Wang, P.; Posey, S. GPU Best Practices for HPC Applications at Industry Scale. In GPU Solutions to Multi-Scale Problems in Science and Engineering ; Lecture Notes in Earth System Sciences; Springer: Berlin/Heidelberg, Germany, 2013; pp. 163–172. [ Google Scholar ] [ CrossRef ]
  • Nonaka, J.; Ono, K.; Fujita, M. 234Compositor: A Flexible Parallel Image Compositing Framework for Massively Parallel Visualization Environments. Future Gener. Comput. Syst. 2018 , 82 , 647–655. [ Google Scholar ] [ CrossRef ]
  • Vu, D.-D.; Tran, M.-N.; Kim, Y. Predictive Hybrid Autoscaling for Containerized Applications. IEEE Access 2022 , 10 , 109768–109778. [ Google Scholar ] [ CrossRef ]
  • Milroy, D.J.; Misale, C.; Georgakoudis, G.; Elengikal, T.; Sarkar, A.; Drocco, M.; Patki, T.; Yeom, J.-S.; Gutierrez, C.E.A.; Ahn, D.H.; et al. One Step Closer to Converged Computing: Achieving Scalability with Cloud-Native HPC. In Proceedings of the 2022 IEEE/ACM 4th International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC (CANOPIE-HPC), Dallas, TX, USA, 14 November 2022; pp. 57–70. [ Google Scholar ] [ CrossRef ]
  • Lublinsky, B.; Jennings, E.; Spišaková, V. A Kubernetes ‘Bridge’ Operator between Cloud and External Resources. In Proceedings of the 2023 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA), Chengdu, China, 26–28 April 2023; pp. 263–269. [ Google Scholar ] [ CrossRef ]
  • Spišaková, V.; Klusáček, D.; Hejtmánek, L. Using Kubernetes in Academic Environment: Problems and Approaches (Open Scheduling Problem). Available online: https://jsspp.org/papers22/6.pdf (accessed on 22 May 2024).
  • Lingayat, A.; Badre, R.R.; Kumar Gupta, A. Performance Evaluation for Deploying Docker Containers on Baremetal and Virtual Machine. In Proceedings of the 2018 3rd International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India, 15–16 October 2018. [ Google Scholar ] [ CrossRef ]
  • Agarwal, K.; Jain, B.; Porter, D.E. Containing the Hype. In Proceedings of the 6th Asia-Pacific Workshop on Systems, Tokyo, Japan, 27–28 July 2015. [ Google Scholar ] [ CrossRef ]
  • Antunes, C.; Vardasca, R. Performance of Jails versus Virtualization for Cloud Computing Solutions. Procedia Technol. 2014 , 16 , 649–658. [ Google Scholar ] [ CrossRef ]
  • Trigo, A.; Varajão, J.; Sousa, L. DevOps Adoption: Insights from a Large European Telco. Cogent Eng. 2022 , 9 , 2083474. [ Google Scholar ] [ CrossRef ]
  • Soltesz, S.; Pötzl, H.; Fiuczynski, M.E.; Bavier, A.; Peterson, L. Container-based operating system virtualization: A scalable, high-performance alternative to hypervisors. In Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007, Lisbon, Portugal, 21–23 March 2007; Volume 41, pp. 275–287. [ Google Scholar ] [ CrossRef ]
  • Li, X.; Jiang, J. Performance Analysis of PaaS Cloud Resources Management Model Based on LXC. In Proceedings of the 2016 International Conference on Cloud Computing and Internet of Things (CCIOT), Dalian, China, 22–23 October 2016; pp. 118–130. [ Google Scholar ] [ CrossRef ]
  • Younge, A.J.; Pedretti, K.; Grant, R.E.; Brightwell, R. A Tale of Two Systems: Using Containers to Deploy HPC Applications on Supercomputers and Clouds. In Proceedings of the 2017 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Hong Kong, China, 11–14 December 2017; pp. 74–81. [ Google Scholar ] [ CrossRef ]
  • Zhang, X.; Li, L.; Wang, Y.; Chen, E.; Shou, L. Zeus: Improving Resource Efficiency via Workload Colocation for Massive Kubernetes Clusters. IEEE Access 2021 , 9 , 105192–105204. [ Google Scholar ] [ CrossRef ]
  • Felter, W.; Ferreira, A.; Rajamony, R.; Rubio, J. An Updated Performance Comparison of Virtual Machines and Linux Containers. In Proceedings of the 2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Philadelphia, PA, USA, 29–31 March 2015; pp. 171–172. [ Google Scholar ] [ CrossRef ]
  • Burns, B.; Grant, B.; Oppenheimer, D.; Brewer, E.; Wilkes, J. Borg, Omega, and Kubernetes. Queue 2016 , 14 , 70–93. [ Google Scholar ] [ CrossRef ]
  • Dordevic, B.; Timcenko, V.; Lazic, M.; Davidovic, N. Performance Comparison of Docker and Podman Container-Based Virtualization. In Proceedings of the 2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH), East Sarajevo, Bosnia and Herzegovina, 16–18 March 2022. [ Google Scholar ] [ CrossRef ]
  • Gantikow, H.; Walter, S.; Reich, C. Rootless Containers with Podman for HPC. In High Performance Computing, Proceedings of the International Conference on High Performance Computing, Frankfurt am Main, Germany, 22–25 June 2020 ; Lecture Notes in Computer Science; Springer: Berlin/Heidelberg, Germany, 21–25 June 2020; pp. 343–354. [ Google Scholar ] [ CrossRef ]
  • Sheka, A.; Bersenev, A.; Samun, V. Containerization in Scientific Calculations. In Proceedings of the 2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON), Novosibirsk, Russia, 21–27 October 2019. [ Google Scholar ] [ CrossRef ]
  • Kiourtis, A.; Karabetian, A.; Karamolegkos, P.; Poulakis, Y.; Mavrogiorgou, A.; Kyriazis, D. A Comparison of Container Systems for Machine Learning Scenarios: Docker and Podman. In Proceedings of the 2022 2nd International Conference on Computers and Automation (CompAuto), Paris, France, 18–20 August 2022. [ Google Scholar ] [ CrossRef ]
  • Stephey, L.; Canon, S.; Gaur, A.; Fulton, D.; Younge, A.J. Scaling Podman on Perlmutter: Embracing a Community-Supported Container Ecosystem. In Proceedings of the 2022 IEEE/ACM 4th International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC (CANOPIE-HPC), Dallas, TX, USA, 4 November 2022. [ Google Scholar ] [ CrossRef ]
  • Khaleq, A.A.; Ra, I. Intelligent Autoscaling of Microservices in the Cloud for Real-Time Applications. IEEE Access 2021 , 9 , 35464–35476. [ Google Scholar ] [ CrossRef ]
  • Bernstein, D. Containers and Cloud: From LXC to Docker to Kubernetes. IEEE Cloud Comput. 2014 , 1 , 81–84. [ Google Scholar ] [ CrossRef ]
  • Jagadeeswari, N.; Mohanraj, V.; Suresh, Y.; Senthilkumar, J. Optimization of Virtual Machines Performance Using Fuzzy Hashing and Genetic Algorithm-Based Memory Deduplication of Static Pages. Automatika 2023 , 64 , 868–877. [ Google Scholar ] [ CrossRef ]
  • Lee, G. High-Performance Computing Networks. In Cloud Networking ; Elsevier B.V.: Amsterdam, The Netherlands, 2014; pp. 179–189. [ Google Scholar ] [ CrossRef ]
  • Yang, H.; Ong, S.K.; Nee, A.Y.C.; Jiang, G.; Mei, X. Microservices-Based Cloud-Edge Collaborative Condition Monitoring Platform for Smart Manufacturing Systems. Int. J. Prod. Res. 2022 , 60 , 7492–7501. [ Google Scholar ] [ CrossRef ]
  • Holmes, V.; Newall, M. HPC and the Big Data Challenge. Saf. Reliabil. 2016 , 36 , 213–224. [ Google Scholar ] [ CrossRef ]
  • Houzeaux, G.; Garcia-Gasulla, M. High Performance Computing Techniques in CFD. Int. J. Comput. Fluid Dyn. 2020 , 34 , 457. [ Google Scholar ] [ CrossRef ]
  • Örmecioğlu, T.O.; Aydoğdu, İ.; Örmecioğlu, H.T. GPU-Based Parallel Programming for FEM Analysis in the Optimization of Steel Frames. J. Asian Archit. Build. Eng. 2024 , 2024 , 2345310. [ Google Scholar ] [ CrossRef ]
  • Jha, A.V.; Teri, R.; Verma, S.; Tarafder, S.; Bhowmik, W.; Kumar Mishra, S.; Appasani, B.; Srinivasulu, A.; Philibert, N. From Theory to Practice: Understanding DevOps Culture and Mindset. Cogent Eng. 2023 , 10 , 2251758. [ Google Scholar ] [ CrossRef ]
  • Li, H.; Kettinger, W.J.; Yoo, S. Dark Clouds on the Horizon? Effects of Cloud Storage on Security Breaches. J. Manag. Inf. Syst. 2024 , 41 , 206–235. [ Google Scholar ] [ CrossRef ]
  • Greneche, N.; Cerin, C. Autoscaling of Containerized HPC Clusters in the Cloud. In Proceedings of the 2022 IEEE/ACM International Workshop on Interoperability of Supercomputing and Cloud Technologies (SuperCompCloud), Dallas, TX, USA, 13–18 November 2022; pp. 1–7. [ Google Scholar ] [ CrossRef ]
  • Liu, P.; Guitart, J. Fine-Grained Scheduling for Containerized HPC Workloads in Kubernetes Clusters. Available online: http://arxiv.org/abs/2211.11487 (accessed on 22 May 2024).
  • Beltre, A.M.; Saha, P.; Govindaraju, M.; Younge, A.; Grant, R.E. Enabling HPC Workloads on Cloud Infrastructure Using Kubernetes Container Orchestration Mechanisms. In Proceedings of the 2019 IEEE/ACM International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC (CANOPIE-HPC), Denver, CO, USA, 18 November 2019; pp. 11–20. [ Google Scholar ] [ CrossRef ]
  • Hursey, J. A Separated Model for Running Rootless, Unprivileged PMIx-Enabled HPC Applications in Kubernetes. In Proceedings of the 2022 IEEE/ACM 4th International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC (CANOPIE-HPC), Dallas, TX, USA, 14 November 2022. [ Google Scholar ]
  • Jang, H.-C.; Luo, S.-Y. Enhancing Node Fault Tolerance through High-Availability Clusters in Kubernetes. In In Proceedings of the 2023 IEEE 3rd International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB) 2023, Taichung, Taiwan, 14–15 April 2023. [ Google Scholar ] [ CrossRef ]
  • Ding, Z.; Wang, S.; Jiang, C. Kubernetes-Oriented Microservice Placement with Dynamic Resource Allocation. IEEE Trans. Cloud Comput. 2023 , 11 , 1777–1793. [ Google Scholar ] [ CrossRef ]
  • Hursey, J. Design Considerations for Building and Running Containerized MPI Applications. In Proceedings of the 2020 2nd International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC (CANOPIE-HPC), Atlanta, GA, USA, 12 November 2020. [ Google Scholar ] [ CrossRef ]
  • Sukhija, N.; Bautista, E. Towards a Framework for Monitoring and Analyzing High Performance Computing Environments Using Kubernetes and Prometheus. In Proceedings of the 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), Leicester, UK, 19–23 August 2019; pp. 257–262. [ Google Scholar ] [ CrossRef ]
  • Kosinska, J.; Tobiasz, M. Detection of Cluster Anomalies with ML Techniques. IEEE Access 2022 , 10 , 110742–110753. [ Google Scholar ] [ CrossRef ]
  • Sebrechts, M.; Borny, S.; Wauters, T.; Volckaert, B.; De Turck, F. Service Relationship Orchestration: Lessons Learned from Running Large Scale Smart City Platforms on Kubernetes. IEEE Access 2021 , 9 , 133387–133401. [ Google Scholar ] [ CrossRef ]
  • Vasireddy, I.; Ramya, G.; Kandi, P. Kubernetes and Docker Load Balancing: State-of-the-Art Techniques and Challenges. Int. J. Innov. Res. Eng. Manag. 2023 , 10 , 49–54. [ Google Scholar ] [ CrossRef ]
  • Vohra, D. Installing Kubernetes Using Docker. In Kubernetes Microservices with Docker ; Springer: Berlin/Heidelberg, Germany, 2016; pp. 3–38. [ Google Scholar ] [ CrossRef ]
  • Liu, B.; Li, J.; Lin, W.; Bai, W.; Li, P.; Gao, Q. K-PSO: An Improved PSO-based Container Scheduling Algorithm for Big Data Applications. Int. J. Netw. Manag. 2020 , 31 , e2092. [ Google Scholar ] [ CrossRef ]
  • Malviya, A.; Dwivedi, R.K. A Comparative Analysis of Container Orchestration Tools in Cloud Computing. In Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) 2022, New Delhi, India, 24–25 March 2022. [ Google Scholar ] [ CrossRef ]
  • Pan, Y.; Chen, I.; Brasileiro, F.; Jayaputera, G.; Sinnott, R. A Performance Comparison of Cloud-Based Container Orchestration Tools. In Proceedings of the 2019 IEEE International Conference on Big Knowledge (ICBK), Beijing, China, 10–11 November 2019. [ Google Scholar ] [ CrossRef ]
  • Lee, S.; Raza Shah, S.A.; Seok, W.; Moon, J.; Kim, K.; Raza Shah, S.H. An Optimal Network-Aware Scheduling Technique for Distributed Deep Learning in Distributed HPC Platforms. Electronics 2023 , 12 , 3021. [ Google Scholar ] [ CrossRef ]
  • Zha, B.; Shen, H. Adaptively Periodic I/O Scheduling for Concurrent HPC Applications. Electronics 2022 , 11 , 1318. [ Google Scholar ] [ CrossRef ]
  • Granhão, D.; Canas Ferreira, J. Transparent Control Flow Transfer between CPU and Accelerators for HPC. Electronics 2021 , 10 , 406. [ Google Scholar ] [ CrossRef ]
  • Ruhela, A.; Xu, S.; Manian, K.V.; Subramoni, H.; Panda, D.K. Analyzing and Understanding the Impact of Interconnect Performance on HPC, Big Data, and Deep Learning Applications: A Case Study with InfiniBand EDR and HDR. In Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) 2020, New Orleans, LA, USA, 18–22 May 2020. [ Google Scholar ] [ CrossRef ]
  • Aly, M.; Khomh, F.; Yacout, S. Kubernetes or OpenShift? Which Technology Best Suits Eclipse Hono IoT Deployments. In Proceedings of the 2018 IEEE 11th Conference on Service-Oriented Computing and Applications (SOCA), Paris, France, 20–22 November 2018. [ Google Scholar ] [ CrossRef ]
  • Linzel, B.; Zhu, E.; Flores, G.; Liu, J.; Dikaleh, S. How can OpenShift accelerate your Kubernetes adoption: A workshop exploring OpenShift features. In Proceedings of the CASCON’19: Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering, Markham, ON, Canada, 4–6 November 2019; pp. 380–381. [ Google Scholar ] [ CrossRef ]
  • Vohra, D. Using an HA Master with OpenShift. In Kubernetes Management Design Patterns ; Apress: New York, NY, USA, 2017; pp. 335–353. [ Google Scholar ] [ CrossRef ]
  • Marksteiner, P. High-Performance Computing—An Overview. Comput. Physics Commun. 1996 , 97 , 16–35. [ Google Scholar ] [ CrossRef ]
  • Cardoso, J.M.P.; Coutinho, J.G.F.; Diniz, P.C. High-Performance Embedded Computing. In Proceedings of the Embedded Computing for High Performance, Waltham, MA, USA, 12–14 September 2017; pp. 17–56. [ Google Scholar ] [ CrossRef ]
  • Feng, W.; Manocha, D. High-Performance Computing Using Accelerators. Parallel Comput. 2007 , 33 , 645–647. [ Google Scholar ] [ CrossRef ]
  • Kindratenko, V.; Thiruvathukal, G.K.; Gottlieb, S. High-Performance Computing Applications on Novel Architectures. Comput. Sci. Eng. 2008 , 10 , 13–15. [ Google Scholar ] [ CrossRef ]
  • Lee, V.W.; Grochowski, E.; Geva, R. Performance Benefits of Heterogeneous Computing in HPC Workloads. In Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum 2012, Shanghai, China, 21–25 May 2012. [ Google Scholar ] [ CrossRef ]
  • Ambrosino, G.; Fioccola, G.B.; Canonico, R.; Ventre, G. Container Mapping and Its Impact on Performance in Containerized Cloud Environments. In Proceedings of the 2020 IEEE International Conference on Service Oriented Systems Engineering (SOSE), Oxford, UK, 3–6 August 2020. [ Google Scholar ] [ CrossRef ]
  • Senjab, K.; Abbas, S.; Ahmed, N.; Khan, A.U.R. A Survey of Kubernetes Scheduling Algorithms. J. Cloud Comput. 2023 , 12 , 87. [ Google Scholar ] [ CrossRef ]
  • Carrión, C. Kubernetes Scheduling: Taxonomy, Ongoing Issues and Challenges. ACM Comput. Surv. 2022 , 55 , 1–37. [ Google Scholar ] [ CrossRef ]
  • Rodriguez, G.; Yannibelli, V.; Rocha, F.G.; Barbara, D.; Azevedo, I.M.; Menezes, P.M. Understanding and Addressing the Allocation of Microservices into Containers: A Review. IETE J. Res. 2023 , 1–14. [ Google Scholar ] [ CrossRef ]
  • Gomez, C.; Martinez, F.; Armejach, A.; Moreto, M.; Mantovani, F.; Casas, M. Design Space Exploration of Next-Generation HPC Machines. In Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Rio de Janeiro, Brazil, 20–24 May 2019. [ Google Scholar ] [ CrossRef ]
  • Tesliuk, A.; Bobkov, S.; Ilyin, V.; Novikov, A.; Poyda, A.; Velikhov, V. Kubernetes Container Orchestration as a Framework for Flexible and Effective Scientific Data Analysis. In Proceedings of the 2019 Ivannikov Ispras Open Conference (ISPRAS), Moscow, Russia, 5–6 December 2019; pp. 67–71. [ Google Scholar ] [ CrossRef ]
  • Rathmayer, S.; Lenke, M. A Tool for On-Line Visualization and Interactive Steering of Parallel HPC Applications. In Proceedings of the 11th International Parallel Processing Symposium, Geneva, Switzerland, 1–5 April 1997. [ Google Scholar ] [ CrossRef ]
  • Ruiz, L.M.; Pueyo, P.P.; Mateo-Fornes, J.; Mayoral, J.V.; Tehas, F.S. Autoscaling Pods on an On-Premise Kubernetes Infrastructure QoS-Aware. IEEE Access 2022 , 10 , 33083–33094. [ Google Scholar ] [ CrossRef ]
  • Lossent, A.; Rodriguez Peon, A.; Wagner, A. PaaS for Web Applications with OpenShift Origin. J. Phys. Conf. Ser. 2017 , 898 , 082037. [ Google Scholar ] [ CrossRef ]
  • Levesque, J.; Wagenbreth, G. High Performance Computing ; Chapman and Hall/CRC: Boca Raton, FL, USA, 2010. [ Google Scholar ] [ CrossRef ]
  • Souppaya, M.; Morello, J.; Scarfone, K. Application Container Security Guide ; National Institute of Standards and Technology: Gaithersburg, MD, USA, 2017. [ Google Scholar ] [ CrossRef ]
  • Flora, J.; Goncalves, P.; Teixeira, M.; Antunes, N. A Study on the Aging and Fault Tolerance of Microservices in Kubernetes. IEEE Access 2022 , 10 , 132786–132799. [ Google Scholar ] [ CrossRef ]
  • Zhou, N.; Georgiou, Y.; Zhong, L.; Zhou, H.; Pospieszny, M. Container Orchestration on HPC Systems. In Proceedings of the 2020 IEEE 13th International Conference on Cloud Computing (CLOUD), Virtual Event, 18–24 October 2020; pp. 34–36. [ Google Scholar ] [ CrossRef ]
  • Roslin Dayana, K.; Shobha Rani, P. Secure Cloud Data Storage Solution with Better Data Accessibility and Time Efficiency. Automatika 2023 , 64 , 756–763. [ Google Scholar ] [ CrossRef ]
  • Grigoryan, G.; Kwon, M.; Rafique, M.M. Extending the Control Plane of Container Orchestrators for I/O Virtualization. In Proceedings of the 2020 2nd International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC (CANOPIE-HPC), Atlanta, GA, USA, 12 November 2020. [ Google Scholar ] [ CrossRef ]
  • Smith, M.C.; Drager, S.L.; Pochet, L.; Peterson, G.D. High Performance Reconfigurable Computing Systems. In Proceedings of the 44th IEEE 2001 Midwest Symposium on Circuits and Systems. MWSCAS 2001 (Cat. No.01CH37257), Dayton, OH, USA, 14–17 August 2001. [ Google Scholar ] [ CrossRef ]
Test ScenarioEstimated Neural Network Response TimeCustom Scheduler Response TimeMean Response Time ErrorDefault Scheduler Response Time
No workloads placed6.455.890.565.94
One node is used for workloads6.46.090.316.15
Two nodes are used for workloads6.536.40.136.95
Three nodes are used for workloads6.66.690.097.88
Four nodes are used for workloads7.5810.763.1812.72
Test ScenarioEstimated Neural Network Response TimeCustom Scheduler Response TimeMean Response Time ErrorDefault Scheduler Response Time
No workloads placed9.329.080.249.28
One node is used for workloads10.139.760.3710.03
Two nodes are used for workloads12.4111.780.6312.13
Three nodes are used for workloads13.7813.370.4113.59
Four nodes are used for workloads14.9614.410.5514.88
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

Dakić, V.; Kovač, M.; Slovinac, J. Evolving High-Performance Computing Data Centers with Kubernetes, Performance Analysis, and Dynamic Workload Placement Based on Machine Learning Scheduling. Electronics 2024 , 13 , 2651. https://doi.org/10.3390/electronics13132651

Dakić V, Kovač M, Slovinac J. Evolving High-Performance Computing Data Centers with Kubernetes, Performance Analysis, and Dynamic Workload Placement Based on Machine Learning Scheduling. Electronics . 2024; 13(13):2651. https://doi.org/10.3390/electronics13132651

Dakić, Vedran, Mario Kovač, and Jurica Slovinac. 2024. "Evolving High-Performance Computing Data Centers with Kubernetes, Performance Analysis, and Dynamic Workload Placement Based on Machine Learning Scheduling" Electronics 13, no. 13: 2651. https://doi.org/10.3390/electronics13132651

Article Metrics

Article access statistics, further information, mdpi initiatives, follow mdpi.

MDPI

Subscribe to receive issue release notifications and newsletters from MDPI journals

Chapman University Digital Commons

Home > Dissertations and Theses > Computational and Data Sciences (PhD) Dissertations

Computational and Data Sciences (PhD) Dissertations

Below is a selection of dissertations from the Doctor of Philosophy in Computational and Data Sciences program in Schmid College that have been included in Chapman University Digital Commons. Additional dissertations from years prior to 2019 are available through the Leatherby Libraries' print collection or in Proquest's Dissertations and Theses database.

Dissertations from 2024 2024

A Novel Correction for the Multivariate Ljung-Box Test , Minhao Huang

Medical Image Analysis Based on Graph Machine Learning and Variational Methods , Sina Mohammadi

Machine Learning and Geostatistical Approaches for Discovery of Weather and Climate Events Related to El Niño Phenomena , Sachi Perera

Global to Glocal: A Confluence of Data Science and Earth Observations in the Advancement of the SDGs , Rejoice Thomas

Dissertations from 2023 2023

Computational Analysis of Antibody Binding Mechanisms to the Omicron RBD of SARS-CoV-2 Spike Protein: Identification of Epitopes and Hotspots for Developing Effective Therapeutic Strategies , Mohammed Alshahrani

Integration of Computer Algebra Systems and Machine Learning in the Authoring of the SANYMS Intelligent Tutoring System , Sam Ford

Voluntary Action and Conscious Intention , Jake Gavenas

Random Variable Spaces: Mathematical Properties and an Extension to Programming Computable Functions , Mohammed Kurd-Misto

Computational Modeling of Superconductivity from the Set of Time-Dependent Ginzburg-Landau Equations for Advancements in Theory and Applications , Iris Mowgood

Application of Machine Learning Algorithms for Elucidation of Biological Networks from Time Series Gene Expression Data , Krupa Nagori

Stochastic Processes and Multi-Resolution Analysis: A Trigonometric Moment Problem Approach and an Analysis of the Expenditure Trends for Diabetic Patients , Isaac Nwi-Mozu

Applications of Causal Inference Methods for the Estimation of Effects of Bone Marrow Transplant and Prescription Drugs on Survival of Aplastic Anemia Patients , Yesha M. Patel

Causal Inference and Machine Learning Methods in Parkinson's Disease Data Analysis , Albert Pierce

Causal Inference Methods for Estimation of Survival and General Health Status Measures of Alzheimer’s Disease Patients , Ehsan Yaghmaei

Dissertations from 2022 2022

Computational Approaches to Facilitate Automated Interchange between Music and Art , Rao Hamza Ali

Causal Inference in Psychology and Neuroscience: From Association to Causation , Dehua Liang

Advances in NLP Algorithms on Unstructured Medical Notes Data and Approaches to Handling Class Imbalance Issues , Hanna Lu

Novel Techniques for Quantifying Secondhand Smoke Diffusion into Children's Bedroom , Sunil Ramchandani

Probing the Boundaries of Human Agency , Sook Mun Wong

Dissertations from 2021 2021

Predicting Eye Movement and Fixation Patterns on Scenic Images Using Machine Learning for Children with Autism Spectrum Disorder , Raymond Anden

Forecasting the Prices of Cryptocurrencies using a Novel Parameter Optimization of VARIMA Models , Alexander Barrett

Applications of Machine Learning to Facilitate Software Engineering and Scientific Computing , Natalie Best

Exploring Behaviors of Software Developers and Their Code Through Computational and Statistical Methods , Elia Eiroa Lledo

Assessing the Re-Identification Risk in ECG Datasets and an Application of Privacy Preserving Techniques in ECG Analysis , Arin Ghazarian

Multi-Modal Data Fusion, Image Segmentation, and Object Identification using Unsupervised Machine Learning: Conception, Validation, Applications, and a Basis for Multi-Modal Object Detection and Tracking , Nicholas LaHaye

Machine-Learning-Based Approach to Decoding Physiological and Neural Signals , Elnaz Lashgari

Learning-Based Modeling of Weather and Climate Events Related To El Niño Phenomenon via Differentiable Programming and Empirical Decompositions , Justin Le

Quantum State Estimation and Tracking for Superconducting Processors Using Machine Learning , Shiva Lotfallahzadeh Barzili

Novel Applications of Statistical and Machine Learning Methods to Analyze Trial-Level Data from Cognitive Measures , Chelsea Parlett

Optimal Analytical Methods for High Accuracy Cardiac Disease Classification and Treatment Based on ECG Data , Jianwei Zheng

Dissertations from 2020 2020

Development of Integrated Machine Learning and Data Science Approaches for the Prediction of Cancer Mutation and Autonomous Drug Discovery of Anti-Cancer Therapeutic Agents , Steven Agajanian

Allocation of Public Resources: Bringing Order to Chaos , Lance Clifner

A Novel Correction for the Adjusted Box-Pierce Test — New Risk Factors for Emergency Department Return Visits within 72 hours for Children with Respiratory Conditions — General Pediatric Model for Understanding and Predicting Prolonged Length of Stay , Sidy Danioko

A Computational and Experimental Examination of the FCC Incentive Auction , Logan Gantner

Exploring the Employment Landscape for Individuals with Autism Spectrum Disorders using Supervised and Unsupervised Machine Learning , Kayleigh Hyde

Integrated Machine Learning and Bioinformatics Approaches for Prediction of Cancer-Driving Gene Mutations , Oluyemi Odeyemi

On Quantum Effects of Vector Potentials and Generalizations of Functional Analysis , Ismael L. Paiva

Long Term Ground Based Precipitation Data Analysis: Spatial and Temporal Variability , Luciano Rodriguez

Gaining Computational Insight into Psychological Data: Applications of Machine Learning with Eating Disorders and Autism Spectrum Disorder , Natalia Rosenfield

Connecting the Dots for People with Autism: A Data-driven Approach to Designing and Evaluating a Global Filter , Viseth Sean

Novel Statistical and Machine Learning Methods for the Forecasting and Analysis of Major League Baseball Player Performance , Christopher Watkins

Dissertations from 2019 2019

Contributions to Variable Selection in Complexly Sampled Case-control Models, Epidemiology of 72-hour Emergency Department Readmission, and Out-of-site Migration Rate Estimation Using Pseudo-tagged Longitudinal Data , Kyle Anderson

Bias Reduction in Machine Learning Classifiers for Spatiotemporal Analysis of Coral Reefs using Remote Sensing Images , Justin J. Gapper

Estimating Auction Equilibria using Individual Evolutionary Learning , Kevin James

Employing Earth Observations and Artificial Intelligence to Address Key Global Environmental Challenges in Service of the SDGs , Wenzhao Li

Image Restoration using Automatic Damaged Regions Detection and Machine Learning-Based Inpainting Technique , Chloe Martin-King

Theses from 2017 2017

Optimized Forecasting of Dominant U.S. Stock Market Equities Using Univariate and Multivariate Time Series Analysis Methods , Michael Schwartz

  • Collections
  • Disciplines

Advanced Search

  • Notify me via email or RSS

Author Corner

  • Submit Research
  • Rights and Terms of Use
  • Leatherby Libraries
  • Chapman University

ISSN 2572-1496

Home | About | FAQ | My Account | Accessibility Statement

Privacy Copyright

Announcing the 2024 Stone Center Thesis and Dissertation Award Winners

The James M. and Cathleen D. Stone Center for Research on Wealth Inequality and Mobility Undergraduate Thesis Award, created in 2023, is annually awarded to two exceptional University of Chicago undergraduate students, along with two graduate students and two PhD students. This accolade celebrates outstanding research within the social sciences and public policy, focusing on themes of inequality within the United States or across diverse cultural contexts.

"There was a remarkable level of interest in our program this year!” said Grace Hammond , executive director of the Stone Center. “The number of nominations we received was four times higher than what we received in our first year, demonstrating the strong support from advisors for their college, master’s, and Ph.D. students engaged in inequality research.”

The award is named after the James M. and Cathleen D. Stone Foundation , aiming to advance a more informed and equitable society, with a particular focus on environmental sustainability and reducing wealth inequality. At the University of Chicago, the Stone Center is a research hub that enables world-leading scholars to deepen their understanding of the inequality in society and formulate new approaches to address the challenge of creating a more equitable society.

The Stone Center awards undergraduate and master-level recipients a $250 prize and doctoral recipients a $1000 price, issues a certificate of achievement, and jointly recognizes them with their home programs.

“With incredible work at all levels to consider, we decided to enhance our bachelor’s thesis award program by including recognition for master’s theses and Ph.D. dissertations,” Grace added. “It was enriching to be introduced to the ambitious early-stage research taking place on campus, and more so incredibly rewarding to acknowledge the exceptional work being done by our students. Congratulations to our seven awardees!"

The Stone Center Thesis and Dissertation Award winners are:

Award for Public Policy

phd thesis data center

Douglas Williams

Thesis: “Disaggregating National Trends In Homeless: Quantifying the effects of Latin American asylum seekers and the growth of West Coast unsheltered homelessness on spiking homeless estimates”

Douglas Williams’s thesis investigates the unprecedented surge in US homelessness highlighted in the 2023 Point-In-Time Count, particularly in cities like Chicago, attributed in part to South and Central American asylum seekers. This influx has doubled the increase and poses new challenges for homelessness and immigration services. The study also reveals the concentrated rise in street homelessness in a few California counties. These findings underscore the urgent need for targeted policies and support systems to address the evolving complexities of homelessness in affected communities.

Douglas is graduating with a dual degree in Public Policy and Data Science. In addition to his time spent in activism for the Black Lives Matter and Illinois Bail Reform movements, he has worked with the 3DL geometric deep learning lab and on various public policy issues such as political polarization and algorithmic bias. He will be joining the Comprehensive Income Dataset Project (CID) as a Pre-Doctoral Researcher after graduation.

phd thesis data center

Renato de Angelis

Thesis: “The Intergenerational Occupational Mobility of Native American Men in the Wake of Assimilation, 1900-1940”

Renato de Angelis’s thesis explores the social mobility of Native Americans in the early 20th century, a period often overlooked in social mobility studies. Using census data, it reveals high levels of downward mobility and limited upward mobility both on and off reservations during this era of assimilationist policies and economic volatility. Mobility prospects were marginally better for those living outside reservation counties but remained generally low across all groups. The data suggests that reservations may have functioned as mobility traps for Native Americans during this time.

Renato received her bachelor’s in Public Policy Studies and Statistics. During her time at UChicago, she has worked as a research assistant for professors in the Economics and Political Science departments, as well as at the Stone proper. After graduation, she will return to the Stone Center to work as a predoc with Professor Durlauf.

Award in the Social Sciences

phd thesis data center

Isabella Ramkissoon

Thesis: “Young Children’s Sociopolitical Worldviews”

Isabella Ramkissoon’s thesis explores how children develop early socio-political views on inequality and social mobility, resembling adult perspectives by elementary school. It finds that children's beliefs in authoritarianism and social dominance correlate positively, indicating a coherent worldview. Moreover, children of politically conservative parents tend to exhibit greater tolerance for inequality and more traditional values compared to those with liberal parents, suggesting parental influence on early political attitudes. These findings underscore the early emergence and familial shaping of children's socio-political orientations.

Isabella is majoring in Psychology. She has worked as a research assistant at the Development of Social Cognition (DSC) Laboratory since her second year where she completed her undergraduate thesis project and has won the prestigious Earl R. Franklin Fellowship in 2023 to support her thesis research. After graduating, she plans to continue working on her thesis research at the DSC and intends to pursue a PhD in Developmental Psychology and, eventually, a career in academia.

phd thesis data center

Maggie Rivera

Thesis: “Sanctuary in the Schoolyard? The Case of the Wadsworth Migrant Shelter”

Maggie Rivera’s thesis examines community responses to migrant shelters in Chicago's Woodlawn neighborhood, refuting media claims of "Black-Latino tensions" or "NIMBYism." It argues instead that residents' frustrations reflect historical inequities and a systemic disregard for local input in policymaking. Inspired by Eve L. Ewing's insights, the research reveals overlooked community efforts to engage with city officials for inclusive solutions, challenging narratives that overlook these collaborative efforts. This shift in perspective underscores that inequality extends beyond material disparities to include the marginalization of local voices and community-driven solutions in urban policy discussions.

Maggie completed a master’s in social science in her undergraduate program. Throughout her time at UChicago, she has worked extensively with the College's University Community Service (UCSC) Center and Writing Program. She has also partnered with several local faith organizations and nonprofit programs. After graduation, she will continue working in Chicago’s nonprofit sector.

phd thesis data center

Joseph Spada

Thesis: “Employment Effects of Minimum Wage Increases: Evidence from New Jersey”

Joseph Spada’s thesis explores the impact of minimum wage increases, focusing on New Jersey's phased-in $15 minimum wage. Motivated by initial economic theory suggesting job losses from wage hikes, the research was sparked by Card and Kreuger's surprising findings of positive employment effects. Key findings indicate that New Jersey's minimum wage increase led to temporary boosts in employment without significant job losses among low-wage workers. These results challenge traditional economic assumptions and support minimum wage increases as a means to enhance income for low-wage earners, thereby addressing income inequality.

Joseph has worked as an associate at Keystone Strategy, an economics and strategy consulting firm in New York City. He joined the MAPSS program at UChicago in 2023 and will be receiving a Master of Arts in the Social Sciences with a concentration in Economics. After MAPSS, he will be working as a research assistant at the Hoover Institution at Stanford, after which he plans to apply to PhD programs in Economics.

PhD Awards:

phd thesis data center

Ilana Ventura

Thesis: “A Home In The Homeland: Understanding Latino First and Second-Generation Transnational Ties”

Ilana Ventura’s thesis investigates how Latin American immigrants and their second-generation descendants in the U.S. maintain ties to their homelands through property ownership abroad. It argues that owning property serves dual purposes: economic investment and preservation of familial and cultural connections. This transnational approach allows individuals to integrate into American society while maintaining emotional and economic ties overseas, offering stability and identity continuity amidst challenges like discrimination or legal status concerns in the U.S.

Ilana received her PhD in Sociology in 2024 and works as a Researcher Methodologist at NORC at UChicago. She has taught sociology courses at UChicago and the School of the Art Institute of Chicago, as well as methods-based short courses for various clients. Her work appears in many accredited journals such as the International Migration Review.

phd thesis data center

Angela Wyse

Thesis: “Essays on Homelessness”

Angela Wyse’s dissertation investigates homelessness in the U.S. utilizing detailed and nationally representative data. The research underscores severe material deprivation among homeless individuals despite their engagement with formal employment and safety net programs and also reveals stark health disparities, showing that homeless individuals face mortality risks comparable to significantly older housed individuals. These findings offer critical insights for addressing homelessness and set a new trajectory for quantitative research in economics and social policy.

Angela holds a Ph.D. in Public Policy from the Harris School and will join Dartmouth College as an Assistant Professor of Economics in Fall 2024. She holds a B.A. in Public Policy from the University of Michigan and a Masters in Public Policy from the Harvard Kennedy School. Before Harris, she spent five years as a U.S. Foreign Service Officer, completing tours in Casablanca, Morocco and Karachi, Pakistan

A photo of Steven Durlauf

Steven Durlauf Frank P. Hixon Distinguished Service Professor

Upcoming events, harris campus visit.

Keller Center 1307 E 60th St Chicago , IL 60637 United States

Harris Evening Master's Program Information Session

Harris summer mixer in washington, dc: cultivating policy connections.

Office of Federal Relations Rooftop 1730 Pennsylvania Ave NW Washington , DC 20004 United States

  • How to Apply
  • Why Public Policy
  • Financial Aid
  • Academic Advising
  • Disability Resources
  • Room Reservations
  • Academic Calendar
  • Faculty Resources
  • Faculty Access
  • Human Resources
  • News and Events
  • Alumni Directory
  • Get Involved

University of Delaware

PhD in Bioinformatics Data Science

iStock_-Research-1-1024×683

A Ph.D. in Bioinformatics Data Science will train the next-generation of researchers and professionals who will play a key role in multi- and interdisciplinary teams, bridging life sciences and computational sciences. Students will receive training in experimental, computational and mathematical disciplines through their coursework and research. Students who complete this degree will be able to generate and analyze experimental data for biomedical research as well as develop physical or computational models of the molecular components that drive the behavior of the biological system.

Students must complete a minimum of 15 hours of coursework, plus 3 credit hours of seminar, 6 credit hours of research and 9 credit hours of doctoral dissertation. The Ph.D. requires a minimum of 33 credits. Students who are admitted directly after a B.S. degree will be required to complete up to 9 additional credits in order to fulfill the core curriculum in the following areas: Database Systems, Statistics, and Introduction to Discipline. In addition, if students entering the program with an M.S. degree are lacking equivalent prerequisites, they also will be required to complete courses in these three areas; however, these courses may fulfill the elective requirement in the Ph.D. program, if approved in the program of study.

(31 Credit Hours Total)
Core and Elective Courses (15 - 24 Credits)
Bioinformatics Data Science Core9 Credits
Prerequisites - Direct Admit Students3-9 Credits
Electives6 Credits
Seminar and Research (18 Credits)
Seminar (6 semesters)3 Credits
Research6 Credits
Doctoral Dissertation9 Credits

Academic Load

PhD students holding research assistantships (or teaching) are considered full-time with 6 credit hours . Students without RA or TA  are considered full-time if enrolled in at least 9 credit hours or in sustaining credit. Those enrolled for fewer than 9 credit hours are considered part-time students. Generally, a maximum load is 12 graduate credit hours; however, additional credit hours may be taken with the approval of the student’s adviser and the Graduate College. A maximum course load in either summer or winter session is 7 credit hours. Permission must be obtained from the Graduate College to carry an overload in any session. 

Bioinformatics Data Science Courses

Students must take one course in each of the following areas (9 credits):

Bioinformatics and Computational Biology Core (9 Credit Hours)
Bioinformatics
[select one]
BINF644 Bioinformatics (3)
CISC636 Computational Biology and Bioinformatics
Data Science - Systems Biology
[Select One]
BINF694 Systems Biology I (3)
BINF695 Computational Systems Biology (3)
Data Science - Data Analytics
[select one]
NURS/HLTH844 Population Healthcare Informatics
CISC681 Introduction to Artificial Intelligence
CISC683 Introduction to Data Mining
CISC684 Introduction to Machine Learning
BINF610 Applied Machine Learning
BINF620 Big Data Analytics in Healthcare

Prerequisites

Students must fulfill core curriculum in each of the following areas (3-9 credits):

Prerequisites (3 - 9 Credit Hours)
Database
[select one]
BINF640 Databases for Bioinformatics (3)
CISC637 Database Systems (3)
Biostatistics
[select one]
STAT656 Biostatistics (3)
STAT611 Regression Analysis (3)
Intro to Discipline
[select one]
Computational Sciences Concentration
BISC609 Molecular Biology of the Cell (3)
BISC654 Biochemical Genetics (3)
PLSC636 Plant Genes and Genomes (3)
Life Science Concentration
BINF690: Programming for Bioinformatics (3)

Elective Courses

Students must take two courses to compliment their bioinformatics data science dissertation project (6 credits): 

See Elective courses

Students must take six semesters of seminar (three 0 credit; three 1 credit) and give a presentation during three semesters.

Seminars (3 Credit Hours)
SeminarBINF 865 Seminar (0-1)

Other Requirements:

  • Formation of Graduate Dissertation Committee
  • Successful completion of Graduate Preliminary Exam
  • Research on a significant scientific problem
  • Successful completion of Ph.D. Candidacy Exam
  • Successful completion of Dissertation Defense

Formation of Graduate Committee

The student needs to establish a Dissertation Committee within the first year of study. The Committee should consist of at least four faculty members, including the primary faculty advisor (serving as the Committee Chair), a secondary faculty advisor (in a complementary field to the primary advisor), a second faculty from the home department, and one CBCB affiliate faculty outside the Departments of the primary and secondary advisors or from outside the University. Students must complete the Dissertation Committee Formation form and submit to the Associate Director.

Students should convene their dissertation committee at least once every six months.

Preliminary Examination

The preliminary examination should be taken before the end of the fourth semester and will consist of an oral exam in subjects based on the Bioinformatics Data Science core.* In recognition of the importance of the core curriculum in providing a good test of the student’s knowledge, students must achieve a minimum 3.0 GPA in the core curriculum before taking the preliminary exam. Students will not be permitted to take the preliminary examination if the core grade requirements and cumulative GPA of 3.0 has not been achieved. The exam will be administered by the Preliminary Exam Committee , which will consist of one instructor from each of the three core courses. Each member of the Committee will provide a single grade (pass, conditional pass or fail) and the final grades will be submitted via the Results of Preliminary Exam Form :

  • Pass . The student may proceed to the next stage of his/her degree training.
  • Conditional pass . In the event that the examination committee feels that the student did not have an adequate background or understanding in one or more specific areas, the Preliminary Exam Committee will communicate the conditional pass to the student and must provide the student with specific requirements and guidelines for completing the conditional pass. The student must inform the Preliminary Exam Committee, the Graduate Program Director and Program Committee when these conditions have been completed. The Preliminary Exam Committee will then meet with the student to ensure all recommendations have been completed and whether a re-examination is necessary. If required, the re-examination will be done using the same format and prior to the beginning of the next academic semester. If the student still does not perform satisfactorily on this re-examination, he/she will then be recommended to the Graduate Affairs Committee for dismissal from the graduate program.
  • Failure . This outcome would indicate that the Examination Committee considers the student incapable of completing degree training. The student’s academic progress will be reviewed by the Graduate Affairs Committee, who will make recommendations to the Program Director regarding the student’s enrollment status. The Program Director may recommend to the Graduate College that the student be dismissed from the Program immediately.

*Students who need to complete prerequisite courses may request a deadline extension for the preliminary and subsequently the candidacy examination. Requests must be submitted to the Graduate Program Committee prior to the start of the third semester.

Candidacy Exam

The candidacy examination must be completed by the end of the sixth semester of enrollment.* It requires a formal, detailed proposal be submitted to the Dissertation Committee and an oral defense of the student’s proposed research project. Upon the recommendation of the Dissertation Committee, the student may be admitted to candidacy for the Ph.D. degree. The stipulations for admission to doctoral candidacy are that the student has (i) completed one academic years of full-time graduate study in residence at the University of Delaware, (ii) completed all required courses with the exception of BINF865 and BINF969, (iii) passed the preliminary exams, (iv) demonstrated the ability to perform research, and (v) had a research project accepted by the Dissertation Committee. Within one week of the candidacy exam, complete and submit the Recommendation for Candidacy for Doctoral Degree form for details. A copy of the completed form should be given to the Associate Director.

*Students who need to complete prerequisite courses may request a deadline extension for the preliminary and subsequently the candidacy examination.  Requests must be submitted to the Graduate Program Committee prior to the start of the third semester.

Dissertation Exam

The dissertation examination of the Ph.D. program will involve the approval of the written dissertation and an oral defense of the candidate’s dissertation.  The written dissertation will be submitted to the Dissertation Committee and the CBCB office at least three weeks in advance of the oral defense date.  The oral defense date will be publicly announced at least two weeks prior to the scheduled date. The oral presentation will be open to the public and all members of the Bioinformatics Data Science program. The Dissertation Committee will approve the candidate’s dissertation. The student and the primary faculty advisor will be responsible for making all corrections to the dissertation document and for meeting all Graduate College deadlines.  Within one week of the dissertation defense, complete and submit the Certification of Doctoral Dissertation Defense Form. A copy of the completed form should be given to the Associate Director.

  • Civil and Environmental Engineering
  • CEE Research Data Sets
Title: Supplement to PhD Dissertation: "Subsurface Computational Modeling and Policy Analysis of Large-Scale Carbon Capture, Utilization, and Storage (2022)"
Contributors: Celia, Michael
Edwards, Ryan
Mauzerall, Denise
Liang, Haiming
Tao, Yiheng
Keywords: 









Issue Date: 18-May-2022
Publisher: Princeton University
Abstract: This dataset contains supplementary materials for Chapter 4 and Chapter 5 of Yiheng Tao's PhD dissertation (2022). The dissertation’s abstract is provided here: Carbon capture, utilization, and storage (CCUS) mitigates climate change by capturing carbon dioxide (CO2) emissions from large point sources, or CO2 from the ambient air, and subsequently reusing the captured CO2 or injecting it into deep geological formations for long-term and secure storage. Almost all current decarbonization pathways include large-scale CCUS, on the order of a billion tonnes (Gt) of CO2 captured and stored each year globally starting in 2030, yet the actual deployment has lagged far behind (around 0.04 Gt CO2 was captured in 2021). In this dissertation, I contribute to several aspects of largescale deployment of CCUS by (1) developing and applying efficient numerical models to simulate geological CO2 storage and (2) identifying key policies to address the bottlenecks of overall CCUS deployment. This dissertation concerns the United States, China, and the Belt and Road Initiative (BRI) region through research projects that are consistent with each location’s current development stage of CCUS. Chapters 2 and 3 contain computational modeling studies. In Chapter 2, I develop a new series of vertical-equilibrium (VE) models in the dual-continuum modeling framework to simulate CO2 injection and migration in fractured geological formations. Those models are shown to be effective and efficient when properties of the formation allow for the VE assumption. In Chapter 3, I apply a VE model to simulate basin-scale CO2 injection in the Junggar Basin of Northwestern China. The results show that current regional emissions of more than 100 million tonnes of CO2 per year can be stored effectively, thereby confirming the great potential of the Junggar Basin for early CCUS deployment. Chapters 4 and 5 contain policy analyses. In Chapter 4, I propose a dynamic system consisting of new CO2 pipelines and novel Allam-cycle power plants in the Central United States, and examine how government policies, including an extended Section 45Q tax credit, may improve the economic feasibility of this system. Lastly, in Chapter 5, I investigate and quantify CO2 emissions implications of power plant projects associated with the BRI. I also propose a “greenness ratio” to measure the level of environmental sustainability of BRI in the power sector.
URI: 
Referenced By: 
Appears in Collections:
File Description SizeFormat 
README.txt2.45 kBText
Yiheng_Tao_PhD_Dissertation.pdf23.99 MBAdobe PDF
Chapter_4_Supplementary_Text.pdf3.13 MBAdobe PDF
Chapter_4_Exhibit_S1.xlsx30.04 kBMicrosoft Excel XML
Chapter_4_Exhibit_S2.xlsx239.55 kBMicrosoft Excel XML
Chapter_4_Exhibit_S3.xlsx1.5 MBMicrosoft Excel XML
Chapter_4_Model_S1.xlsm469.24 kBUnknown
Chapter_4_Model_S2.xlsm116.42 kBUnknown
Chapter_5_Supporting_Information.xlsx57.8 kBMicrosoft Excel XML

Items in Dataspace are protected by copyright, with all rights reserved, unless otherwise indicated.

phd thesis data center

PhD Studies in Data Science

Phd offering.

The BSE Data Science Center is looking for students with a strong quantitative background interested in pursuing PhD studies in areas related to data science (DS): Statistics, Machine Learning, Probability, Operations Research, and their applications in Economics. To be eligible to apply to such PhD studies students should have (or be in the final year of) a degree in Data Science, Statistics, Mathematics or related discipline. A way to acquire such a background is to first enroll in our master in Data Science Methodology ( https://bse.eu/study/masters-programs/data-science-methodology ). To follow this route, you should indicate your interest in pursuing PhD studies in your motivation letter when applying to the master. Selected students receive a tuition waiver for the master program. We emphasize however that applying to a PhD is a separate process from enrolling into the Data Science master at BSE, and in particular that doing the master is no guarantee of being admitted into the PhD afterwards. Admittance to a PhD program is done on a competitive basis, and depends on the resources available each year. There are two main routes to pursue PhD studies. 1. Apply to the PhD program of the Dept. of Economics & Business at UPF. For students doing the master in Data Science, the application would be at the end of the 1st term of the program. Students should apply to the MRes year (Year 2) of the PhD program at UPF, see  https://www.upf.edu/web/econ/phd-track  for further information on how to apply. If admitted, upon entering the program, the student takes a selection of courses and produces a Master of Research thesis, which is typically preliminary work towards the PhD thesis. Data Science students take a specially designed coursework, selected from courses in  https://www.upf.edu/es/web/econ/courses , to be agreed upon with their advisors. 2. Apply to the PhD program at a collaborating institution, such as the Statistics program at the Universitat Politècnica de Catalunya ( https://www.eio.upc.edu/en/doctorate/doctoral-program-of-the-department-of-statistics-and-operations-research ). The PhD would be under the supervision of a Data Science Center Faculty member. In such a program there is typically no coursework and students start working on their PhD thesis from day 1.

How to apply

All interested applicants should submit the materials specified below to the Data Science PhD selection committee at  [email protected] , before Jan 15. Late applications may be considered in exceptional circumstances. 1. Students interested in the PhD program at UPF must also submit an application to Year 2, following the instructions for the MRes Online Application. The deadline for that application is usually Jan 15, but double-check the UPF website.   2. Students who wish to pursue a PhD at a collaborating institution outside UPF should, in a first instance, send their application to the Data Science PhD selection committee only.   Applications to the Data Science PhD selection committee must include: – A copy of your final official undergraduate academic transcript, showing courses taken and grades obtained. – If you have finished graduate studies or are currently undergoing a master’s degree when you submit your application, a copy of the final or provisional graduate academic transcript, showing courses taken and grades obtained – A motivation letter, including a concise statement on research interests. – Two academic reference letters. If applying to the UPF program, besides uploading the letters at the UPF system they should also be emailed to  [email protected] . Please ensure that your referees send the letters by the deadline

The Barcelona School of Economics Data Science Center coordinates and promotes interdisciplinary and methodological research, training, and knowledge transfer in Data Science. The Data Science Center community consists of leading academics, machine learning researchers from industry, and practitioners from the data science and analytics industry. The research group at the Data Science Center is leading in this area and has recently been recognized by several major funding bodies, for example, the BBVA grant in Big Data, and the Google Faculty Award.

The Data Science Center is part of the Barcelona School of Economics, which is a leading institution for research and graduate education in Economics and the social sciences. The BSE offers seven Master’s programs, including a Master’s in Data Science, coordinated by the Data Science Center.

The BSE was founded as an institution for scientific cooperation between four existing academic and research units with a long tradition of collaboration: Institut d’Anàlisi Econòmica, Centre de Recerca en Economia Internacional, Universitat Autònoma de Barcelona, and Universitat Pompeu Fabra. It continues to focus on consolidating strong research groups across these four centers, of which the Data Science Center is an example.

Universitat Pompeu Fabra (UPF) is a public, international and research-intensive university that, in just twenty-five years, has earned a place for itself among the best universities in Europe. Awarded with a CEI label (International Excellence Campus) by the Spanish Ministry of Education, the University also figures in some of the most influential rankings UPF has recently been featured as the 5th fastest-rising young university in the world by Times Higher Education, while the Department of Economics at the university is consistently ranked in the top 40 QS World University Rankings by Subject.

Contact Data Science Center Barcelona School of Economics Ramon Trías Fargas, 25-27 08005 Barcelona, Spain.

  • BSE Voice Blog
  • Research in statistics
  • PhD studies

Stay tuned for Data Science updates

Subscribe to our Newsletter and you will receive the latest news about our work, studies, publications and more.

© Barcelona School of Economics. All rights reserved.

Privacy Overview

Unlocking PhD Success: Quantitative Data Analysis Strategies for Your Dissertation Journey Dissertation in 90 Days

Are you on the path to earning your PhD and seeking actionable strategies to accelerate your dissertation journey? Look no further! Join us on the “Dissertation Mastery: PhD Success, Research Strategies, and Academic Writing Excellence in 90 Days” podcast, your one-stop destination for expert insights, practical tips, and motivational guidance. Hosted by the renowned academic mentor from WritersER, this podcast is tailored for ambitious doctoral candidates keen on mastering the art of research, academic writing, and dissertation crafting. Dive deep into the world of qualitative and quantitative research methodologies, explore the nuances of data analysis, and unlock the secrets to academic writing excellence. Each episode unveils a potent strategy, offering illustrative examples, engaging stories, and inviting listeners to ponder and implement these golden nuggets in their own research journeys. Whether you are grappling with pilot testing, considering the dynamics of regular audits, or seeking constructive feedback to shape a robust research project, we've got you covered. Tune in to glean from the wealth of knowledge that promises not just to guide you in crafting a remarkable dissertation but also preparing you to emerge as a future leader in your academic field. Harness the power of expert advice, embrace the vibrant community of like-minded scholars, and set yourself on a path to academic glory with the Dissertation Mastery podcast. Subscribe now to embark on a transformative journey towards PhD success and beyond. It’s time to turn your doctoral dreams into reality with dissertation strategies that work - all in just 90 days!

  • Episode Website
  • More Episodes

IELTS Exam Preparation: Free IELTS Tips, 2024

  • elektrostal'

Take IELTS test in or nearby Elektrostal'

There is no IELTS test center listed for Elektrostal' but you may be able to take your test in an alternative test center nearby. Please choose an appropriate test center that is closer to you or is most suitable for your test depending upon location or availability of test.

Closest test centers are:

Make sure to prepare for the IELTS exam using our Free IELTS practice tests .

Moscow, Russia

Students international - moscow cb, british council bkc-ih moscow, students international - moscow, vladimir, vladimir oblast, russia, students international vladimir, obninsk, kaluga oblast, russia, british council bkc-ih obninsk, nizhny novgorod, nizhny novgorod oblast, russia, students international - nizhny novgorod, british council bkc-ih nizhny novgorod, voronezh, voronezh oblast, russia, british council bkc-ih voronezh, veliky novgorod, novgorod oblast, russia, lt pro - veliky novgorod, kazan, tatarstan, russia, british council bkc-ih kazan, students international - kazan, st petersburg, russia, lt pro - saint petersburg, students international - st petersburg, saratov, saratov oblast, russia, british council bkc-ih saratov, students international - saratov, petrozavodsk, republic of karelia, russia, lt pro - petrozavodsk, students international - petrozavodsk, kirov, kirov oblast, russia, students international - kirov, samara, samara oblast, russia, students international - samara, british council bkc-ih samara, volgograd, volgograd oblast, russia, british council bkc-ih volgograd, students international - volgograd, rostov-on-don, rostov oblast, russia, students international - rostov-on-don, syktyvkar, komi republic, russia, students international - syktyvkar, perm, perm krai, russia, students international - perm, british council bkc-ih perm, ufa, republic of bashkortostan, russia, students international - ufa, british council bkc-ih ufa, kaliningrad, kaliningrad oblast, russia, lt pro - kaliningrad, students international - kaliningrad, krasnodar, krasnodar krai, russia, students international - krasnodar, stavropol, stavropol krai, russia, students international - stavropol, astrakhan, astrakhan oblast, russia, students international - astrakhan, magnitogorsk, chelyabinsk oblast, russia, ru069 students international - magintogorsk, yekaterinburg, sverdlovsk oblast, russia, students international - ekaterinburg, british council bkc-ih ekaterinburg, chelyabinsk, chelyabinsk oblast, russia, british council bkc-ih chelyabinsk, students international - chelyabinsk, murmansk, murmansk oblast, russia, students international - murmansk, tyumen, tyumen oblast, russia, students international - tyumen, omsk, omsk oblast, russia, students international - omsk, novosibirsk, novosibirsk oblast, russia, british council bkc-ih novosibirsk, students international - novosibirsk, tomsk, tomsk oblast, russia, british council bkc-ih tomsk, students international - tomsk, barnaul, altai krai, russia, students international - barnaul, other locations nearby elektrostal'.

  • Zheleznodorozhnyy
  • Orekhovo-Zuyevo
  • Sergiyev Posad
  • Podol'sk
  • Novo-Peredelkino
  • Ryazan'

An Overview of the IELTS

The International English Language Testing System (IELTS) is designed to measure English proficiency for educational, vocational and immigration purposes. The IELTS measures an individual's ability to communicate in English across four areas of language: listening , reading , writing and speaking . The IELTS is administered jointly by the British Council, IDP: IELTS Australia and Cambridge English Language Assessment at over 1,100 test centres and 140 countries. These test centres supervise the local administration of the test and recruit, train and monitor IELTS examiners.

IELTS tests are available on 48 fixed dates each year, usually Saturdays and sometimes Thursdays, and may be offered up to four times a month at any test centre, including Elektrostal' depending on local needs. Go to IELTS test locations to find a test centre in or nearby Elektrostal' and to check for upcoming test dates at your test centre.

Test results are available online 13 days after your test date. You can either receive your Test Report Form by post or collect it from the Test Centre. You will normally only receive one copy of the Test Report Form, though you may ask for a second copy if you are applying to the UK or Canada for immigration purposes - be sure to specify this when you register for IELTS. You may ask for up to 5 copies of your Test Report Form to be sent directly to other organisations, such as universities.

There are no restrictions on re-sitting the IELTS. However, you would need to allow sufficient time to complete the registration procedures again and find a suitable test date.

The Unique Burial of a Child of Early Scythian Time at the Cemetery of Saryg-Bulun (Tuva)

<< Previous page

Pages:  379-406

In 1988, the Tuvan Archaeological Expedition (led by M. E. Kilunovskaya and V. A. Semenov) discovered a unique burial of the early Iron Age at Saryg-Bulun in Central Tuva. There are two burial mounds of the Aldy-Bel culture dated by 7th century BC. Within the barrows, which adjoined one another, forming a figure-of-eight, there were discovered 7 burials, from which a representative collection of artifacts was recovered. Burial 5 was the most unique, it was found in a coffin made of a larch trunk, with a tightly closed lid. Due to the preservative properties of larch and lack of air access, the coffin contained a well-preserved mummy of a child with an accompanying set of grave goods. The interred individual retained the skin on his face and had a leather headdress painted with red pigment and a coat, sewn from jerboa fur. The coat was belted with a leather belt with bronze ornaments and buckles. Besides that, a leather quiver with arrows with the shafts decorated with painted ornaments, fully preserved battle pick and a bow were buried in the coffin. Unexpectedly, the full-genomic analysis, showed that the individual was female. This fact opens a new aspect in the study of the social history of the Scythian society and perhaps brings us back to the myth of the Amazons, discussed by Herodotus. Of course, this discovery is unique in its preservation for the Scythian culture of Tuva and requires careful study and conservation.

Keywords: Tuva, Early Iron Age, early Scythian period, Aldy-Bel culture, barrow, burial in the coffin, mummy, full genome sequencing, aDNA

Information about authors: Marina Kilunovskaya (Saint Petersburg, Russian Federation). Candidate of Historical Sciences. Institute for the History of Material Culture of the Russian Academy of Sciences. Dvortsovaya Emb., 18, Saint Petersburg, 191186, Russian Federation E-mail: [email protected] Vladimir Semenov (Saint Petersburg, Russian Federation). Candidate of Historical Sciences. Institute for the History of Material Culture of the Russian Academy of Sciences. Dvortsovaya Emb., 18, Saint Petersburg, 191186, Russian Federation E-mail: [email protected] Varvara Busova  (Moscow, Russian Federation).  (Saint Petersburg, Russian Federation). Institute for the History of Material Culture of the Russian Academy of Sciences.  Dvortsovaya Emb., 18, Saint Petersburg, 191186, Russian Federation E-mail:  [email protected] Kharis Mustafin  (Moscow, Russian Federation). Candidate of Technical Sciences. Moscow Institute of Physics and Technology.  Institutsky Lane, 9, Dolgoprudny, 141701, Moscow Oblast, Russian Federation E-mail:  [email protected] Irina Alborova  (Moscow, Russian Federation). Candidate of Biological Sciences. Moscow Institute of Physics and Technology.  Institutsky Lane, 9, Dolgoprudny, 141701, Moscow Oblast, Russian Federation E-mail:  [email protected] Alina Matzvai  (Moscow, Russian Federation). Moscow Institute of Physics and Technology.  Institutsky Lane, 9, Dolgoprudny, 141701, Moscow Oblast, Russian Federation E-mail:  [email protected]

Shopping Cart Items: 0 Cart Total: 0,00 € place your order

Price pdf version

student - 2,75 € individual - 3,00 € institutional - 7,00 €

We accept

Copyright В© 1999-2022. Stratum Publishing House

Discover rich geographic data for Gorodskoy Okrug Elektrostal', Moscow Oblast, Russia, encompassing the latest population statistics, local time, precise altitude, latitude and longitude coordinates, as well as Digital Elevation Model (DEM) details.

IMAGES

  1. How to do your PhD Thesis Using Secondary Data Collection in 4 Steps

    phd thesis data center

  2. (PDF) BACHELOR THESIS Data Center Infrastructure: Network Design Concept

    phd thesis data center

  3. PhD Thesis Sample

    phd thesis data center

  4. Data centre design standards and best practices for public research

    phd thesis data center

  5. Thesis data in Russell Group universities

    phd thesis data center

  6. What is a PhD Dissertation and How to Structure it?

    phd thesis data center

VIDEO

  1. HOW TO DO DATA INTERPRETATION IN THESIS EASILY (UNDER 30 MINS)

  2. PhD Thesis Defense. Vadim Sotskov

  3. PhD Thesis introduction 101

  4. PhD thesis & Dissertation Structure ll MS, PhD

  5. ALL RESEARCH TOOLS for your THESIS WRITING!

  6. GET PhD Thesis and Dissertation Writing Services #phd #thesiswritingservices #phdthesis

COMMENTS

  1. OATD

    OATD.org aims to be the best possible resource for finding open access graduate theses and dissertations published around the world. Metadata (information about the theses) comes from over 1100 colleges, universities, and research institutions. OATD currently indexes 6,948,050 theses and dissertations. About OATD (our FAQ). Visual OATD.org

  2. Open Access Theses and Dissertations

    Database of free, open access full-text graduate theses and dissertations published around the world. Direct Link. University of Southern California. 3550 Trousdale Parkway. Los Angeles , CA 90089.

  3. Dissertations & Theses

    Over the last 80 years, ProQuest has built the world's most comprehensive and renowned dissertations program. ProQuest Dissertations & Theses Global (PQDT Global), continues to grow its repository of 5 million graduate works each year, thanks to the continued contribution from the world's universities, creating an ever-growing resource of emerging research to fuel innovation and new insights.

  4. EBSCO Open Dissertations

    EBSCO Open Dissertations is a collaboration between EBSCO and BiblioLabs to increase traffic and discoverability of ETD research. You can join the movement and add your theses and dissertations to the database, making them freely available to researchers everywhere while increasing traffic to your institutional repository.

  5. MIT Theses

    MIT's DSpace contains more than 58,000 theses completed at MIT dating as far back as the mid 1800's. Theses in this collection have been scanned by the MIT Libraries or submitted in electronic format by thesis authors. Since 2004 all new Masters and Ph.D. theses are scanned and added to this collection after degrees are awarded.

  6. Doctoral Theses

    Theses by Department. Computational and Systems Biology. Department of Aeronautics and Astronautics. Department of Architecture. Department of Biological Engineering. Department of Biology. Department of Brain and Cognitive Sciences. Department of Chemical Engineering. Department of Chemistry.

  7. DataHub: Data Centers for Cities and People

    Abstract. This thesis looks at how to design data centers for the urban context in a way that benefits cities and the people who live in them. COVID-19 has only reinforced the sentiment that our physical realm will require more and more room for the digital infrastructure that sustains it. Every day, the average person produces 15GB of data.

  8. Dissertations & Theses

    Select "Post graduate theses" in the search box to limit your search to dissertations. National Academic Research and Collaborations Information System (NARCIS): Promise of Science (NL) The "Promise of Science" provides access to over 21,000 full-text doctoral e-theses from all Dutch universities.

  9. PDF Rescuing Data Center Processors

    Data center applications consume the majority of today's compute cycles. As current computer systems—computer architecture, compilers, and operating systems—are inefficient for data center applications, this dissertation focuses on redesigning the computer system to enable efficient data center processing.

  10. Shodhganga : a reservoir of Indian theses @ INFLIBNET

    The Shodhganga@INFLIBNET Centre provides a platform for research students to deposit their Ph.D. theses and make it available to the entire scholarly community in open access. The repository has the ability to capture, index, store, disseminate and preserve ETDs submitted by the researchers.

  11. Impact of Data Center Infrastructure on Server Availability

    Impact of Data Center Infrastructure on Server Availability - Characterization, Management and Optimization A Dissertation Presented to the Faculty of the School of Engineering and Applied Science University of Virginia ... He motivated me to continue my PhD and supported me throughout this process. Without his encouragement and tireless ...

  12. PhD and Masters Theses

    PhD and Masters Theses. Whether you are a member of our doctoral degree (PhD) program or our master's degree (SM) program in operations research, you will write a thesis based on original, independent research conducted under the guidance of our expert faculty. Below you will find a listing by year of the research performed by ORC students.

  13. PhD in Data Science

    An NRT-sponsored program in Data Science Overview Overview Advances in computational speed and data availability, and the development of novel data analysis methods, have birthed a new field: data science. This new field requires a new type of researcher and actor: the rigorously trained, cross-disciplinary, and ethically responsible data scientist. Launched in Fall 2017, the …

  14. Harvard University Theses, Dissertations, and Prize Papers

    The Harvard University Archives' collection of theses, dissertations, and prize papers document the wide range of academic research undertaken by Harvard students over the course of the University's history.. Beyond their value as pieces of original research, these collections document the history of American higher education, chronicling both the growth of Harvard as a major research ...

  15. Graduate Thesis Or Dissertation

    Graduate Thesis Or Dissertation ... The validation with a real data center shows that the new FFD model achieves a similar level of accuracy as CFD when compared to the experimental measurements, and is 61 times faster than CFD for the studied case. Then, to improve the existing BES-CFD co-simulation methods, this dissertation proposes a new ...

  16. Evolving High-Performance Computing Data Centers with Kubernetes ...

    The shift from conventional data center designs to more dynamic and efficient models is becoming increasingly critical in modern IT. Traditional data centers, which typically rely on fixed resource allocation and design patterns, must be better suited to meet the variable demands of contemporary workloads, especially when dealing with HPC (high-performance computing).

  17. Computational and Data Sciences (PhD) Dissertations

    Computational and Data Sciences (PhD) Dissertations. Below is a selection of dissertations from the Doctor of Philosophy in Computational and Data Sciences program in Schmid College that have been included in Chapman University Digital Commons. Additional dissertations from years prior to 2019 are available through the Leatherby Libraries ...

  18. Announcing the 2024 Stone Center Thesis and Dissertation Award Winners

    The James M. and Cathleen D. Stone Center for Research on Wealth Inequality and Mobility Undergraduate Thesis Award, created in 2023, is annually awarded to two exceptional University of Chicago undergraduate students, along with two graduate students and two PhD students. This accolade celebrates outstanding research within the social sciences and public policy, focusing on themes of ...

  19. PhD in Bioinformatics Data Science

    PhD in Bioinformatics Data Science. A Ph.D. in Bioinformatics Data Science will train the next-generation of researchers and professionals who will play a key role in multi- and interdisciplinary teams, bridging life sciences and computational sciences. Students will receive training in experimental, computational and mathematical disciplines ...

  20. DataSpace: Supplement to PhD Dissertation: "Subsurface Computational

    The dissertation's abstract is provided here: Carbon capture, utilization, and storage (CCUS) mitigates climate change by capturing carbon dioxide (CO2) emissions from large point sources, or CO2 from the ambient air, and subsequently reusing the captured CO2 or injecting it into deep geological formations for long-term and secure storage.

  21. PhD studies

    The BSE Data Science Center is looking for students with a strong quantitative background interested in pursuing PhD studies in areas related to data science (DS): Statistics, Machine Learning, Probability, Operations Research, and their applications in Economics. ... which is typically preliminary work towards the PhD thesis. Data Science ...

  22. ‎Dissertation in 90 Days: Unlocking PhD Success: Quantitative Data

    Are you on the path to earning your PhD and seeking actionable strategies to accelerate your dissertation journey? Look no further! Join us on the "Dissertation Mastery: PhD Success, Research Strategies, and Academic Writing Excellence in 90 Days" podcast, your one-stop destination for expert insights, practical tips, and motivational guidance.

  23. IELTS test centers and test dates 2024 in Elektrostal, Moscow Oblast

    IELTS; Locations; russia; elektrostal' Take IELTS test in or nearby Elektrostal' There is no IELTS test center listed for Elektrostal' but you may be able to take your test in an alternative test center nearby. Please choose an appropriate test center that is closer to you or is most suitable for your test depending upon location or availability of test.

  24. Potential sources of reactive gases for the West of Moscow Oblast

    Here and after the asterisk marks the center of the Moscow megacity, the size of the cells is 0.1°×0.1° and the white area consists of statistically insignificant cells (< 10 trajectories/cell).

  25. The Unique Burial of a Child of Early Scythian Time at the Cemetery of

    Burial 5 was the most unique, it was found in a coffin made of a larch trunk, with a tightly closed lid. Due to the preservative properties of larch and lack of air access, the coffin contained a well-preserved mummy of a child with an accompanying set of grave goods. The interred individual retained the skin on his face and had a leather ...

  26. Gorodskoy Okrug Elektrostal', Moscow Oblast, Russia Population, local

    Discover rich geographic data for Gorodskoy Okrug Elektrostal', Moscow Oblast, Russia, encompassing the latest population statistics, local time, precise altitude, latitude and longitude coordinates, as well as Digital Elevation Model (DEM) details.

  27. PHD Thesis Data Center

    Phd Thesis Data Center - Free download as PDF File (.pdf), Text File (.txt) or read online for free.