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Top 100+ Computer Engineering Project Topics [Updated]

computer engineering project topics

Computer engineering projects offer a captivating blend of creativity and technical prowess, allowing enthusiasts to dive into a world where innovation meets functionality. Whether you’re fascinated by hardware design, software development, networking, or artificial intelligence, there’s a wide array of project topics to explore within the realm of computer engineering. In this blog, we’ll delve into some intriguing computer engineering project topics, catering to both beginners and seasoned enthusiasts alike.

What Is A CSE Project?

Table of Contents

A CSE project refers to a project within the field of Computer Science and Engineering (CSE). These projects involve the application of computer science principles and engineering techniques to develop software, hardware, or systems that solve real-world problems or advance technology.

CSE projects can range from developing new algorithms and programming languages to designing and building computer hardware, networking systems, software applications, or artificial intelligence systems.

They often require interdisciplinary knowledge and skills in areas such as programming, data structures, algorithms, software engineering, hardware design, networking, and more.

How Do I Start A CSE Project?

Starting a CSE (Computer Science and Engineering) project can be an exciting endeavor, but it requires careful planning and preparation. Here’s a step-by-step guide to help you get started:

  • Define Your Project Scope and Goals:
  • Identify the problem or opportunity you want to address with your project.
  • Clearly define the objectives and outcomes you aim to achieve.
  • Determine the scope of your project, including the technologies, tools, and resources you’ll need.
  • Conduct Research:
  • Research existing solutions and technologies related to your project idea.
  • Identify any gaps or opportunities for innovation in the field.
  • Explore relevant literature, academic papers, online resources, and case studies to gain insights and inspiration.
  • Choose a Project Topic:
  • Based on your research, select a specific topic or area of focus for your project.
  • Take into account your passions, abilities, and the assets at your disposal.
  • Make sure that the topic you select corresponds with the aims and objectives of your project.
  • Develop a Project Plan:
  • Make a thorough plan for your project by writing down all the things you need to do, when you need to do them, and what you want to achieve at different points.
  • Break the project into smaller parts that are easier to handle, and if you’re working with others, make sure everyone knows what they’re responsible for.
  • Define the deliverables and criteria for success for each phase of the project.
  • Gather Resources:
  • Identify the software, hardware, and other resources you’ll need for your project.
  • Set up development environments, programming tools, and any necessary infrastructure.
  • Consider collaborating with peers, mentors, or experts who can provide guidance and support.
  • Design Your Solution:
  • Develop a conceptual design or architecture for your project.
  • Define the system requirements, data structures, algorithms, and user interfaces.
  • Consider usability, scalability, security, and other factors in your design decisions.
  • Implement Your Project:
  • Start building your project based on the design and specifications you’ve developed.
  • Write code, design user interfaces, implement algorithms, and integrate components as needed.
  • Test your project continuously throughout the development process to identify and fix any issues early on.
  • Iterate and Refine:
  • Iterate on your project based on feedback and testing results.
  • Refine your implementation, make improvements, and address any issues or challenges that arise.
  • Continuously evaluate your progress against your project plan and adjust as necessary.
  • Document Your Work:
  • Keep detailed documentation of your project, including design decisions, code comments, and user manuals.
  • Document any challenges you faced, solutions you implemented, and lessons learned throughout the project.
  • Present Your Project:
  • Prepare a presentation or demo showcasing your project’s features, functionality, and achievements.
  • Communicate your project’s goals, methodology, results, and impact effectively to your audience.
  • Solicit feedback from peers, instructors, or industry professionals to gain insights and improve your project.

By following these steps and staying organized, focused, and adaptable, you can successfully start and complete a CSE project that not only enhances your skills and knowledge but also makes a meaningful contribution to the field of computer science and engineering.

Top 100+ Computer Engineering Project Topics

  • Design and Implementation of a Simple CPU
  • Development of a Real-time Operating System Kernel
  • Construction of a Digital Signal Processor (DSP)
  • Designing an FPGA-based Video Processing System
  • Building a GPU for Parallel Computing
  • Development of a Low-Power Microcontroller System
  • Designing an Efficient Cache Memory Architecture
  • Construction of a Network-on-Chip (NoC) for Multicore Systems
  • Development of a Hardware-based Encryption Engine
  • Designing a Reconfigurable Computing Platform
  • Building a RISC-V Processor Core
  • Development of a Custom Instruction Set Architecture (ISA)
  • Designing an Energy-Efficient Embedded System
  • Construction of a High-Speed Serial Communication Interface
  • Developing a Real-time Embedded System for Robotics
  • Designing an IoT-based Home Automation System
  • Building a Wearable Health Monitoring Device
  • Development of a Wireless Sensor Network for Environmental Monitoring
  • Designing an Automotive Control System
  • Building a GPS Tracking System for Vehicles
  • Development of a Smart Grid Monitoring System
  • Designing a Digital Audio Processor for Music Synthesis
  • Building a Speech Recognition System
  • Developing a Biometric Authentication System
  • Designing a Facial Recognition Security System
  • Construction of an Autonomous Drone
  • Development of a Gesture Recognition Interface
  • Designing an Augmented Reality Application
  • Building a Virtual Reality Simulator
  • Developing a Haptic Feedback System
  • Designing a Real-time Video Streaming Platform
  • Building a Multimedia Content Delivery Network (CDN)
  • Development of a Scalable Web Server Architecture
  • Designing a Peer-to-Peer File Sharing System
  • Building a Distributed Database Management System
  • Developing a Blockchain-based Voting System
  • Designing a Secure Cryptocurrency Exchange Platform
  • Building an Anonymous Communication Network
  • Development of a Secure Email Encryption System
  • Designing a Network Intrusion Detection System (NIDS)
  • Building a Firewall with Deep Packet Inspection (DPI)
  • Developing a Vulnerability Assessment Tool
  • Designing a Secure Password Manager Application
  • Building a Malware Analysis Sandbox
  • Development of a Phishing Detection System
  • Designing a Chatbot for Customer Support
  • Building a Natural Language Processing (NLP) System
  • Developing an AI-powered Personal Assistant
  • Designing a Recommendation System for E-commerce
  • Building an Intelligent Tutoring System
  • Development of a Sentiment Analysis Tool
  • Designing an Autonomous Vehicle Navigation System
  • Building a Traffic Management System
  • Developing a Smart Parking Solution
  • Designing a Remote Health Monitoring System
  • Building a Telemedicine Platform
  • Development of a Medical Image Processing Application
  • Designing a Drug Discovery System
  • Building a Healthcare Data Analytics Platform
  • Developing a Smart Agriculture Solution
  • Designing a Crop Monitoring System
  • Building an Automated Irrigation System
  • Developing a Food Quality Inspection Tool
  • Designing a Supply Chain Management System
  • Building a Warehouse Automation Solution
  • Developing a Inventory Optimization Tool
  • Designing a Smart Retail Store System
  • Building a Self-checkout System
  • Developing a Customer Behavior Analytics Platform
  • Designing a Fraud Detection System for Banking
  • Building a Risk Management Solution
  • Developing a Personal Finance Management Application
  • Designing a Stock Market Prediction System
  • Building a Portfolio Management Tool
  • Developing a Smart Energy Management System
  • Designing a Home Energy Monitoring Solution
  • Building a Renewable Energy Integration Platform
  • Developing a Smart Grid Demand Response System
  • Designing a Disaster Management System
  • Building an Emergency Response Coordination Tool
  • Developing a Weather Prediction and Monitoring System
  • Designing a Climate Change Mitigation Solution
  • Building a Pollution Monitoring and Control System
  • Developing a Waste Management Optimization Tool
  • Designing a Smart City Infrastructure Management System
  • Building a Traffic Congestion Management Solution
  • Developing a Public Safety and Security Platform
  • Designing a Citizen Engagement and Participation System
  • Building a Smart Transportation Network
  • Developing a Smart Water Management System
  • Designing a Water Quality Monitoring and Control System
  • Building a Flood Detection and Response System
  • Developing a Coastal Erosion Prediction Tool
  • Designing an Air Quality Monitoring and Control System
  • Building a Green Building Energy Optimization Solution
  • Developing a Sustainable Transportation Planning Tool
  • Designing a Wildlife Conservation Monitoring System
  • Building a Biodiversity Mapping and Protection Platform
  • Developing a Natural Disaster Early Warning System
  • Designing a Remote Sensing and GIS Integration Solution
  • Building a Climate Change Adaptation and Resilience Platform

7 Helpful Tips for Final Year Engineering Project

Embarking on a final year engineering project can be both exhilarating and daunting. Here are seven helpful tips to guide you through the process and ensure the success of your project:

Start Early and Plan Thoroughly

  • Begin planning your project as soon as possible to allow ample time for research, design, and implementation.
  • Break down your project into smaller tasks and create a detailed timeline with milestones to track your progress.
  • Consider any potential challenges or obstacles you may encounter and plan contingencies accordingly.

Choose the Right Project

  • Select a project that aligns with your interests, skills, and career goals.
  • Ensure that the project is feasible within the time and resource constraints of your final year.
  • Seek advice from professors, mentors, or industry professionals to help you choose a project that is both challenging and achievable.

Conduct Thorough Research

  • Invest time in researching existing solutions, technologies, and literature related to your project idea.
  • Identify gaps or opportunities for innovation that your project can address.
  • Keep track of relevant papers, articles, and resources to inform your design and implementation decisions.

Communicate Effectively

  • Maintain regular communication with your project advisor or supervisor to seek guidance and feedback.
  • Collaborate effectively with teammates, if applicable, by establishing clear channels of communication and dividing tasks appropriately.
  • Practice effective communication skills when presenting your project to classmates, professors, or industry professionals.

Focus on Quality and Innovation

  • Strive for excellence in every aspect of your project, from design and implementation to documentation and presentation.
  • Try to come up with new ideas and find ways to make them better than what’s already out there.
  • Make sure you do your work carefully and make it the best it can be.

Test and Iterate

  • Test your project rigorously throughout the development process to identify and address any issues or bugs.
  • Solicit feedback from peers, advisors, or end-users to gain insights and improve your project.
  • Iterate on your design and implementation based on feedback and testing results to refine your solution and enhance its functionality.

Manage Your Time Effectively

  • Prioritize tasks and allocate time wisely to ensure that you meet deadlines and deliverables.
  • Break down larger tasks into smaller, manageable chunks and tackle them one at a time.
  • Stay organized with tools such as calendars, to-do lists, and project management software to track your progress and stay on schedule.

By following these tips and staying focused, disciplined, and proactive, you can navigate the challenges of your final year engineering project with confidence and achieve outstanding results. Remember to stay flexible and adaptable, and don’t hesitate to seek help or advice when needed. Good luck!

Computer engineering project topics offer a unique opportunity to blend creativity with technical expertise, empowering enthusiasts to explore diverse domains of computing while tackling real-world challenges. Whether you’re interested in hardware design, software development, networking, or artificial intelligence, there’s a wealth of project topics to inspire innovation and learning.

By starting these projects, people who are passionate about it can improve their abilities, learn more, and add to the changing world of technology. So, get ready to work hard, let your imagination flow, and begin an exciting adventure of learning and discovery in the amazing field of computer engineering.

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Computing Engineering Dissertation Topics

Published by Jamie Walker at January 10th, 2023 , Revised On June 7, 2024

Dissertations have become an inherent component of higher education studies. They are entrenched not only within the master’s or a PhD degree but also in undergraduate programmes. Computer engineering dissertations allow researchers to choose a topic of particular interest to them and research further into the topic to add to the current body of literature.

However, choosing a topic from an extensive list is always easier than working on the first topic you find interesting.

To help you get started with brainstorming for computer topic ideas, we have developed a list of the latest computer engineering dissertation topics that can be used for writing your computer engineering dissertation.

These topics have been developed by PhD-qualified writers of our team , so you can trust to use these topics for drafting your dissertation.

You may also want to start your dissertation by requesting  a brief research proposal  from our writers on any of these topics, which includes an  introduction  to the problem,  research questions , aim and objectives ,  literature review  along with the proposed  methodology  of research to be conducted.  Let us know  if you need any help in getting started.

Check our  example dissertations  to get an idea of  how to structure your dissertation .

You can review step by step guide on how to write your dissertation  here.

View our free dissertation topics database.

Trending Computer Engineering Dissertation Topics

Computers are the greatest innovation of the modern era and have done wonders for mankind. There is only one language that computers understand – the binary. But there are various high-level coding languages that even computers do not understand and therefore use a compiler for translation.

Computing refers to computer hardware or software coding development technology and covers all aspects of computer technologies. It is the practical and scientific study of the implementation of computing information. Computing is also interchangeably known as computer sciences.

A computing engineer or a computer scientist specialises in practical work, the theory of computing, and the design of computational systems. Essentially, it is the study of structure, expression, mechanisation, and feasibility of algorithms (logical procedures) that cause processing, communication, representation, access of information, and acquisition in a computer. This area has a wide range of topics, some of which have been listed below:

  • How to prevent unsuccessful implementation of software
  • Keeping up with the changing nature of web space requirements
  • Impact of quantum computing on cryptography
  • Theoretical evaluation of cryptography
  • The transition from machine learning to deep learning
  • Does cyberinfrastructure impact jobs?
  • How can machine learning be used for predictive analysis?
  • Risk calculation in the application and development process.
  • Generation of the Java application.
  • Implementing a behavioural based approach to detect cheating in online games.
  • Analysis of coding environment of different applications.
  • Identification of different languages used for coding.
  • Identification of stake holder’s interest in the App development process.
  • Role of visualisation in complex hierarchal structures of computing.
  • Analysing the requirements of Inventory Management Software.
  • Development of a single-player simulation game.
  • Investigation of web teaching aid system.
  • Development of an online library management system.
  • Implementation of Electronic banking system.

Computing Engineering Dissertation Topics To Guide You

Topic 1: an investigation of the blockchain's application in the energy sector leading towards electricity production and e-mobility..

Research Aim: This study aims to investigate the applications of blockchain within the energy sector. This study will identify how blockchain can be used to produce electricity from the comfort of home. Moreover, this study aims to introduce the concept of e-mobility through blockchain, according to which blockchain can be used to share the car ride with other commuters residing at nearby places. Another objective of this research is to develop a framework that could assess blockchain’s use for consumers staying within a budget and letting them assess how much money they have been spending so far.

Topic 2: Investigating the Issues that Impact Data Security in Cloud-Based Blockchain Technology: An Global Tourism Industry Case Study

Research Aim: This research focuses on a significant shift in trend found in the worldwide tourist business, which is the usage of the cloud for data and services. It attempts to supply the requirements for this implementation owing to the demand for ease, saving, and improved service. Furthermore, it will also focus on the limits of traditional blockchain technology primitives and assess control models. These constraints are related to security issues involving data in a cloud environment in the global tourism industry.

Topic 3: Is Digital Technology Overtaking Human Interactions in the Medical Fields? An Examination of the Use of Computational Biology and Machine Learning in Patient Diagnosis and Treatment.

Research Aim: The current study seeks to examine how digital technology is replacing human interactions in the medical industry in the importance of computational biology and machine learning in patient diagnosis and treatment. This study will set forth the theoretical foundations and significance of computational biology and machine learning and will also make recommendations for further enhancement.

Topic 4: Evaluating the use of databases and information retrieval systems from the perspective of the United States National security policy.

Research Aim: The current study aims to evaluate the use of databases and information retrieval systems from the perspective of United States national security policy. This study addresses the databases and information retrieval system to provide a clear understanding. It will also focus on specific elements d criteria in the united state’s national security and highlights the benefits and drawbacks of employing them to enhance national security strategy in the united states.

Topic 5: Development of growing infusion of computer technology in the area of medicine- examining NHS policies.

Research Aim: This research aims to examine the development of the growing infusion of computer technology in the area of medicine by evaluating existing NHS policy. The study will provide a theoretical framework for the application of computer science technologies in medicine and will also set out the benefits of using contemporary computer technology as well as analyse the drawbacks that have occurred as a result of the growth of this new technology in this field. It will also focus on the policies employed by the NHS to assist the development of technologies in the UK healthcare sector.

Latest Computer Engineering Dissertation Topics

A 3-d visualisation system for ultrasound images.

Research Aim: This research will focus on the visualisation of 3-D ultrasound images and their medical therapy benefits.

Reliable and realistic study of remote communication systems in telephony and multipath faded systems

Research Aim: This research’s primary emphasis is on telephony’s practical implementation in a remote communication system.

Establishing a Neural Network Device

Research Aim: In terms of energy efficiency, the human brain is much greater than any modern supercomputer. A whole new generation of energy-efficient, brain-like computers is being designed for this study.

Methods for Artifact EEG Brain function study, caused by sugar, salt, fat, and their replacements

Research Aim: This study relies on the procedure for calculating sweetness taste is developed and validated. Part of the project includes modern electrode technologies to capture the purest possible brain signal from EEG equipment.

Find 100s of dissertation topics in your other academic subjects in our free topics database.

Analysis of information system built for e-learning

Research Aim: This research aims to analyse the information system built for e-learning

Advantages and disadvantages of an information system

Research Aim: This research aims to address the advantages and disadvantages of an information system.

COVID-19 Computer Engineering Research Topics

Research to study the effects of coronavirus on it industries.

Research Aim: This research will focus on the impacts of COVID-19 on the growth of IT industries highlighting the issues responsible for it and the possible solutions to overcome them.

Research to identify the impact of Coronavirus on the computer science research community

Research Aim: Coronavirus has infected thousands of people and has been responsible for the deaths of several innocent people worldwide. This study will focus on identifying the effects of this pandemic on the computer science research community.

Research to study the impacts of COVID-19 on tech spends in 2021

Research Aim: As a result of COVID-19, the economy of the entire world has been disrupted. The purpose of this research is to know the tech expenditures after COVID-19 became widespread. How are the tech industries dealing with the challenging situation created by COVID-19?

Research to identify the contribution of computer science to control the spread of the Coronavirus pandemic

Research Aim: This research aims at identifying the contributions and efforts made by computer engineers to control the pandemic. What is the role of computer scientists during the pandemic?

Research to identify the unemployment of computer engineers after the Coronavirus pandemic

Research Aim: This research will focus on identifying the increased unemployment issues raised after the COVID-19 pandemic and finding out the possible solutions to overcome the reduced unemployment of computer engineers.

Hardware, Network, and Security Dissertation Topics

Network security is very crucial for any organisation. It is dependent upon a well-managed network through the implementation of policies drafted by network administrators to manage the access of the organisational information. Network security provides stability, safety, integrity, reliability, and utility of data and network.

It works efficiently with the latest hardware equipment and updated software. Network security offers many advantages to businesses, such as protection against any disruption to keep employees motivated, energetic, regular, and productive.

In certain instances, a virus may break into the network security. However, the network administrator generally uses an anti-virus program to prevent this sort of attack.

Therefore, it will be fair to say that network security plays a vital role in maintaining a business’s reputation and operations which is the most important asset to any organisation. Below is a list of topics that you can base your dissertation on:

  • Performance analysis of transmission control protocol over Ethernet LAN.
  • Gateway usage for the intrusion detection system.
  • Impact of security machinimas in online transactions.
  • Investigation of smart card specification.
  • Importance of router placement in the network.
  • Level of customer’s trust in E-banking.
  • Role of antivirus in a shared network.
  • Application of database technologies for data network management.
  • Network worm: A headache to networking.
  • Implementation of various tools in programming language.
  • Study of retroactive data structures.
  • Role of Voice over Internet Protocol over Ethernet LAN.
  • The usefulness of data transfer security over Wi-Fi Network.
  • Influence of signal strength of Wi-Fi upon data transfer.
  • Analysis of tree inclusion complexities.
  • Analysis of the implementation of the set procedure.
  • Analysis of the application of programming tools.
  • Implementation of File Sharing System in Network.
  • Study of virus behaviours in the secured programming environment.
  • Investigation of issues of user’s security and data protection over the network.
  • Benefits of network security to customers.
  • Improvements of mobile data service for future usage.
  • Study of Asymmetry k-center variant.
  • Analysis of issues in emerging 4G networks.
  • Role of dynamic proxies in a mobile environment to support Remote method Invocation.

Software, Programming and Algorithm Dissertation Topics

In layman language, the software is collectively known as the “combination of operating information and all the programs that are being used by the computer.” It is a set of instructions that direct computers to perform a specific task depending upon the user’s instructions.

The software can be written in both high and low-level languages. Low-level language is also known as machine code and is faster because it doesn’t require any compiler and directly communicates with the computer. A high-level language is pretty similar to a human language, and therefore can be easily understood by the developers. High-level language requires the compiler to translate commands to the computer.

Programming and algorithms can be termed as commands given to the computer to perform actions. Programming leads to executable programs from a computing problem and involves developing, generating, and analysing algorithms. Algorithms refer to an act done involving a step-by-step process to solve a problem. It is a set of logic written in software.

There are two types of software; operating software that helps in operation and system software necessary to run a system. Operating software can be rewritten and changed according to demand, but system software cannot be altered. If developers require any alterations, they would have to develop new software.

There are various topics that can be considered for  research dissertation purposes  under this theme, a list of which is given below.

  • Application of algorithms.
  • Importance of approximation algorithms on graphs.
  • Critical analysis of data structures on trees.
  • Evaluation and implementation of new algorithms.
  • System software: A link to communicate hardware.
  • Difference between binary dispatching and multiple dispatching.
  • Analysis of plan sweep techniques.
  • Investigation of software support to drivers of devices.
  • Intelligent interface for database systems.
  • Analysis of function and types of union-find.
  • The usefulness of different coding languages.
  • Application of basic hardware knowledge and math skills.
  • Analysis of the design of the converter based on new moduli.
  • Analysis of information travelling via software.
  • Evaluation and implementation of heuristic algorithms.
  • Development of applications using Java.
  • Analysis of fault tolerance in a network by using simulation.
  • Importance of system software for computers.
  • Effects of larger integer module operations.
  • Consequences of wrong commands in coding.
  • Investigation of the coding language of system software.
  • Analysis of feasibility environment of platform.
  • Evaluation of heuristic algorithms for generating clusters.
  • Critical analysis of fixed control variable.
  • Analysis of design of converter with large dynamic range.
  • Ways to recover corrupted software.
  • Analysis of fault tolerance of sorting network.
  • Analysis of the difference between LAN and WAN.
  • Development of an algorithm for a one-way hashing system.
  • Relation between dynamic access and fixed values.
  • Importance of right language selection while coding.
  • Study of optimisation problems.
  • Analysis of security frameworks for web services.
  • Investigating algorithms techniques.
  • Partial persistence of algorithms vs others.
  • Study of time and space problems of algorithmic functions.
  • Effects of linear and logarithmic factors over programming.
  • Discussion about union-find with deletion.
  • Importance of data structure for bridge core problems.
  • Consequences of fault in interconnected networks.
  • Difference between rooted and unrooted tree.

Information Systems Dissertation Topics

Information systems refer to a group of people and computers that are being used for the interpretation of all kinds of information. Computer-based information systems are a very interesting topic for research. It includes all information regarding decision making, management support, and operations and can also be used to access the database.

There is an obvious difference between computer systems, information systems, and business processes. The information system provides the tools to manage businesses successfully.

An information system can be said to be a workstation where humans and machines work together towards the success of a business. One such example is Wal-Mart. The company is entirely based on information systems and has connected its suppliers, vendors, customers and together.

It deals with a large number of data and consists of hardware, software, network, and telecommunications of the operation. Below is a list of research topics in the field of information systems for you to base your dissertation  on:

  • Analysis of challenges in building information systems for any organisation.
  • Impact of cyberinfrastructure on the customer.
  • Role of information system in scientific innovations.
  • The usefulness of information systems for businesses.
  • Advantages of information systems.
  • Access to information systems by employees anywhere in the world.
  • Preparation of a database management system.
  • Analysis and solution of database management systems.
  • Study of support of information system to hardware.
  • Managing information systems of big stores, The case of Walmart.
  • Analysis of information system built for E-learning.
  • Critical analysis of the changing nature of the web.
  • Role of information system in decision making of disruptions.
  • Examine customer response through the information system.
  • Investigate the impact of a virus on the network
  • Relationship between IT education and an organisation.
  • Role of information system in global warming.
  • Investigate the reason for adopting green information systems.
  • Analysis of the between social networks and information systems.
  • Role of information system in dealing with complex business problems.

Important Notes:

As a computing engineering student looking to get good grades, it is essential to develop new ideas and experiment with existing computing engineering theories – i.e., to add value and interest in your research topic.

The field of computing engineering is vast and interrelated to so many other academic disciplines like civil engineering , finance , construction ,  law ,  healthcare , mental health , artificial intelligence , tourism , physiotherapy , sociology , management , marketing and nursing . That is why it is imperative to create a project management dissertation topic that is articular, sound, and actually solves a practical problem that may be rampant in the field.

We can’t stress how important it is to develop a logical research topic; it is the basis of your entire research. There are several significant downfalls to getting your topic wrong; your supervisor may not be interested in working on it, the topic has no academic creditability, the research may not make logical sense, and there is a possibility that the study is not viable.

This impacts your time and efforts in  writing your dissertation  as you may end up in a cycle of rejection at the very initial stage of the dissertation. That is why we recommend reviewing existing research to develop a topic, taking advice from your supervisor, and even asking for help in this particular stage of your dissertation.

While developing a research topic, keeping our advice in mind will allow you to pick one of the best computing engineering dissertation topics that fulfill your requirement of writing a research paper and add to the body of knowledge.

Therefore, it is recommended that when finalising your dissertation topic, you read recently published literature to identify gaps in the research that you may help fill.

Remember- dissertation topics need to be unique, solve an identified problem, be logical, and be practically implemented. Take a look at some of our sample computing engineering dissertation topics to get an idea for your own dissertation.

How to Structure Your Dissertation on Computing Engineering

A well-structured   dissertation can help students   to achieve a high overall academic grade.

  • A Title Page
  • Acknowledgements
  • Declaration
  • Abstract: A summary of the research completed
  • Table of Contents
  • Introduction : This chapter includes the project rationale, research background, key research aims and objectives, and the research problems to be addressed. An outline of the structure of a dissertation  can also be added to this chapter.
  • Literature Review :  This chapter presents relevant theories and frameworks by analysing published and unpublished literature available on the chosen research topic, in light of  research questions  to be addressed. The purpose is to highlight and discuss the relative weaknesses and strengths of the selected research area whilst identifying any research gaps. Break down of the topic, and key terms can have a positive impact on your dissertation and your tutor.
  • Methodology:  The  data collection  and  analysis  methods and techniques employed by the researcher are presented in the Methodology chapter which usually includes  research design,  research philosophy, research limitations, code of conduct, ethical consideration, data collection methods and  data analysis strategy .
  • Findings and Analysis:  Findings of the research are analysed in detail under the Findings and Analysis chapter. All key findings/results are outlined in this chapter without interpreting the data or drawing any conclusions. It can be useful to include  graphs , charts, and   tables in this chapter to identify meaningful trends and relationships.
  • Discussion  and  Conclusion: The researcher presents his interpretation of results in this chapter, and states whether the research hypothesis has been verified or not. An essential aspect of this section of the paper is to draw a linkage between the results and evidence from the literature. Recommendations with regard to the implications of the findings and directions for the future may also be provided. Finally, a summary of the overall research, along with final judgments, opinions, and comments, must be included in the form of suggestions for improvement.
  • References:  This should be completed in accordance with your University’s requirements
  • Bibliography
  • Appendices:  Any additional information, diagrams, graphs that were used to  complete the  dissertation  but not part of the dissertation should be included in the Appendices chapter. Essentially, the purpose is to expand the information/data.

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Engineering Thesis Topics

Academic Writing Service

This page provides a comprehensive list of engineering thesis topics designed to assist students in selecting relevant and engaging subjects for their academic research. With 600 diverse topics organized into 20 categories—ranging from aeronautical and chemical engineering to robotics and environmental engineering—this list offers a broad spectrum of ideas to inspire your thesis. Whether you’re focused on current industry challenges, recent technological advancements, or future innovations, these topics cover all major areas of engineering. Explore these up-to-date thesis topics to help guide your research and contribute to the rapidly evolving field of engineering.

600 Engineering Thesis Topics and Ideas

Choosing a thesis topic is a critical step in any student’s academic journey. In the field of engineering, it’s essential to select a topic that not only interests you but also addresses real-world challenges, technological advancements, and future trends. To aid in this process, we have compiled a comprehensive list of 600 engineering thesis topics, divided into 20 categories, each reflecting key areas of research. These topics span a variety of engineering disciplines and are designed to inspire innovative research that contributes to the future of engineering. Whether you are interested in aeronautical advancements, sustainable energy solutions, or the future of robotics, this list will help you find the perfect topic for your thesis.

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Get 10% off with 24start discount code, aeronautical engineering thesis topics.

  • The impact of advanced composite materials on aircraft performance.
  • Exploring the potential of hypersonic flight: Challenges and opportunities.
  • Aerodynamic optimization of unmanned aerial vehicles (UAVs).
  • Aircraft noise reduction technologies: A comparative study.
  • Investigating fuel efficiency improvements in jet engines.
  • The role of AI in enhancing aircraft safety and navigation systems.
  • Analyzing the effects of turbulence on aircraft structural integrity.
  • Design and performance evaluation of high-altitude long-endurance (HALE) UAVs.
  • The future of electric propulsion in commercial aviation.
  • Exploring the use of 3D printing in the production of aerospace components.
  • Advanced aerodynamics for reducing drag in supersonic flight.
  • The impact of environmental regulations on aeronautical design.
  • Investigating alternative fuels for sustainable aviation.
  • The future of vertical take-off and landing (VTOL) aircraft in urban mobility.
  • The role of bio-inspired designs in improving aircraft efficiency.
  • Exploring smart wing technologies for better flight control.
  • Noise control in aircraft landing systems: New technologies and designs.
  • The development and testing of supersonic business jets.
  • Human factors in aeronautical engineering: Enhancing cockpit design.
  • Exploring the challenges of integrating UAVs into controlled airspace.
  • Lightweight materials in aeronautical design: A study on carbon fiber and titanium.
  • Aircraft icing and its impact on flight safety: Detection and prevention technologies.
  • The role of augmented reality in aircraft maintenance and repair.
  • Environmental impacts of the aeronautical industry: Strategies for reduction.
  • Exploring adaptive control systems in modern aircraft.
  • High-lift devices: Their role in takeoff and landing performance.
  • Investigating the future of blended-wing body aircraft designs.
  • Structural health monitoring of aircraft using sensor networks.
  • The challenges of autonomous flight in commercial aviation.
  • Investigating the aerodynamics of high-speed vertical lift vehicles.

Aerospace Engineering Thesis Topics

  • Design challenges and innovations in reusable space launch vehicles.
  • The future of asteroid mining: Engineering challenges and opportunities.
  • Exploring advanced propulsion systems for deep-space exploration.
  • Microgravity’s effect on material properties in space environments.
  • The role of small satellites in expanding space exploration capabilities.
  • Investigating the impact of space debris on satellite operations.
  • Lunar habitats: Engineering challenges and solutions.
  • The role of AI in space mission planning and execution.
  • Space-based solar power: Engineering feasibility and challenges.
  • Exploring propulsion technologies for interstellar travel.
  • The use of inflatable structures in space missions.
  • Challenges in designing life support systems for long-duration space missions.
  • Investigating in-situ resource utilization (ISRU) on Mars for future colonization.
  • The role of robotics in space exploration and satellite repair.
  • Engineering solutions to counteract radiation exposure in space missions.
  • The development of space tourism: Engineering challenges and innovations.
  • Satellite communication systems: Engineering advancements and future trends.
  • The role of CubeSats in Earth observation and climate monitoring.
  • Engineering space habitats: Materials, designs, and sustainability.
  • Investigating ion propulsion systems for space exploration.
  • Thermal protection systems for re-entry vehicles: Challenges and advancements.
  • Space elevator concepts: Engineering feasibility and potential applications.
  • The impact of space environment on electronic components and systems.
  • Autonomous systems in space exploration: Enhancing mission success.
  • Exploring the potential of nuclear thermal propulsion for human space exploration.
  • Challenges in designing propulsion systems for crewed Mars missions.
  • Investigating the use of solar sails for long-duration space missions.
  • Engineering challenges in planetary defense systems against asteroids.
  • The future of satellite constellations for global communications.
  • Exploring the use of 3D printing in space for habitat construction.

Chemical Engineering Thesis Topics

  • The role of catalysis in green chemistry: Innovations and applications.
  • Exploring advancements in carbon capture and storage technologies.
  • Biofuels vs. fossil fuels: A comparative analysis of energy efficiency.
  • The role of chemical engineering in developing sustainable plastics.
  • Investigating electrochemical methods for hydrogen production.
  • Nanotechnology in chemical engineering: Applications and challenges.
  • Bioprocessing for the production of bio-based chemicals.
  • The impact of chemical engineering on pharmaceutical manufacturing.
  • Membrane technologies for water purification: Advances and applications.
  • Chemical engineering solutions for reducing industrial emissions.
  • The role of chemical engineering in developing new materials for energy storage.
  • Exploring chemical processes in waste-to-energy systems.
  • The future of biodegradable polymers: Chemical engineering approaches.
  • Electrochemical sensors for environmental monitoring: Advances in technology.
  • Investigating catalytic converters for reducing automobile emissions.
  • Process optimization in the chemical industry using AI and machine learning.
  • The role of chemical engineering in developing next-generation batteries.
  • Green solvents in chemical processes: Innovations and challenges.
  • Exploring chemical recycling methods for plastic waste.
  • Engineering sustainable processes for the production of synthetic fuels.
  • The role of chemical engineering in the development of nanomedicine.
  • Advancements in supercritical fluid extraction technologies.
  • Exploring the use of bio-based surfactants in chemical engineering.
  • Chemical engineering innovations in desalination technologies.
  • Investigating process safety in chemical plants: Challenges and solutions.
  • The role of process intensification in improving chemical manufacturing efficiency.
  • Exploring carbon-neutral chemical processes for sustainable industries.
  • Engineering solutions for minimizing waste in chemical production processes.
  • The future of smart materials in chemical engineering.
  • Investigating the use of enzymes in industrial chemical processes.

Civil Engineering Thesis Topics

  • Sustainable urban drainage systems: Design and implementation.
  • The role of green building technologies in reducing carbon footprints.
  • Investigating the structural integrity of high-rise buildings in seismic zones.
  • Exploring the use of recycled materials in road construction.
  • The impact of climate change on coastal infrastructure.
  • Smart city infrastructure: Challenges and opportunities for civil engineers.
  • Engineering solutions for flood-resistant urban infrastructure.
  • The role of civil engineering in developing sustainable transport systems.
  • The use of geotechnical engineering in landslide prevention.
  • The impact of urbanization on natural water systems: Civil engineering solutions.
  • Exploring the use of drones in civil engineering for site inspections and mapping.
  • The role of civil engineering in disaster-resilient building designs.
  • Innovations in bridge design: Materials, construction, and sustainability.
  • The future of high-speed rail infrastructure: Civil engineering challenges.
  • Investigating the use of smart materials in civil engineering projects.
  • Sustainable road construction techniques for reducing environmental impact.
  • The role of civil engineers in restoring and preserving historical structures.
  • Exploring permeable pavements for stormwater management.
  • The impact of population growth on urban infrastructure planning.
  • The role of civil engineering in mitigating the urban heat island effect.
  • Exploring earthquake-resistant building technologies: Advances and innovations.
  • The use of fiber-reinforced polymers in civil engineering structures.
  • The future of modular construction in civil engineering.
  • Civil engineering solutions for reducing energy consumption in buildings.
  • Investigating the durability of concrete in marine environments.
  • The role of civil engineers in addressing housing shortages in developing countries.
  • Exploring geosynthetic materials for improving ground stability.
  • The use of BIM (Building Information Modeling) in modern civil engineering projects.
  • Sustainable urban transportation systems: Civil engineering perspectives.
  • The role of civil engineering in climate-resilient infrastructure development.

Computer Engineering Thesis Topics

  • The role of quantum computing in solving complex engineering problems.
  • Exploring advancements in machine learning algorithms for engineering applications.
  • The impact of edge computing on IoT (Internet of Things) systems.
  • Blockchain technology in securing computer engineering systems.
  • Investigating the role of artificial intelligence in autonomous vehicles.
  • Cybersecurity challenges in critical infrastructure: A computer engineering perspective.
  • The role of computer engineering in enhancing 5G network performance.
  • Exploring GPU optimization for deep learning models.
  • Investigating neural network architectures for image recognition.
  • The future of computer vision in industrial automation.
  • Designing low-power architectures for mobile computing devices.
  • The role of augmented reality in transforming engineering design processes.
  • Exploring advancements in robotics control systems for precision tasks.
  • The impact of cloud computing on large-scale engineering simulations.
  • Investigating IoT security challenges in smart cities.
  • The role of computer engineering in developing autonomous drones.
  • Exploring deep learning applications in medical image analysis.
  • Designing energy-efficient algorithms for high-performance computing.
  • The role of artificial intelligence in predictive maintenance for engineering systems.
  • Exploring software-defined networking (SDN) in optimizing data centers.
  • The impact of blockchain technology on supply chain management systems.
  • Investigating the role of computer engineering in enhancing virtual reality experiences.
  • The future of human-computer interaction in wearable technologies.
  • The role of edge AI in reducing latency for real-time applications.
  • Exploring advancements in natural language processing for engineering applications.
  • Designing secure communication protocols for IoT devices.
  • The role of computer engineering in developing smart home systems.
  • Exploring facial recognition technologies for enhanced security systems.
  • Investigating quantum cryptography for secure communication networks.
  • The role of artificial intelligence in optimizing renewable energy systems.

Electronics and Communication Engineering Thesis Topics

  • Exploring 5G communication technologies: Challenges and opportunities.
  • The role of IoT in transforming industrial automation systems.
  • Advances in signal processing for wireless communication systems.
  • The impact of nanotechnology on the future of semiconductor devices.
  • The role of satellite communication in disaster management.
  • Exploring the potential of Li-Fi technology in communication systems.
  • Energy-efficient design of wireless sensor networks.
  • The future of millimeter-wave technology in telecommunications.
  • The role of cognitive radio systems in spectrum optimization.
  • Investigating advanced antenna designs for communication networks.
  • The impact of quantum communication on data security.
  • Exploring visible light communication systems for high-speed data transfer.
  • Designing low-power communication protocols for IoT devices.
  • The role of MIMO (Multiple Input Multiple Output) systems in improving network performance.
  • Exploring the potential of terahertz communication systems.
  • Advances in error correction techniques for wireless communication.
  • The role of edge computing in enhancing real-time communication.
  • Exploring software-defined radio technologies for communication systems.
  • The impact of smart antennas on 5G network performance.
  • Secure communication protocols for smart grid systems.
  • The role of satellite communication in remote sensing applications.
  • Exploring advancements in fiber optic communication systems.
  • The future of wireless body area networks (WBANs) in healthcare.
  • Designing communication systems for autonomous vehicles.
  • The role of blockchain technology in secure communication networks.
  • Exploring the potential of ultra-wideband (UWB) technology in communication systems.
  • Energy harvesting technologies for self-powered communication devices.
  • The impact of smart cities on communication infrastructure.
  • Investigating the use of AI in optimizing communication networks.
  • The role of quantum key distribution in secure communication.

Engineering Management Thesis Topics

  • The role of leadership in driving innovation in engineering organizations.
  • Exploring risk management strategies in large-scale engineering projects.
  • The impact of organizational culture on engineering project success.
  • Project management techniques for reducing cost overruns in engineering projects.
  • The role of Six Sigma in improving engineering processes.
  • Agile project management methodologies in the engineering sector.
  • The impact of digital transformation on engineering management practices.
  • The role of sustainability in engineering project management.
  • Leadership styles and their influence on engineering team performance.
  • The role of data analytics in optimizing engineering management decisions.
  • The impact of globalization on engineering project management.
  • Exploring lean management practices in engineering organizations.
  • The role of engineering managers in fostering innovation.
  • Risk mitigation strategies in complex engineering systems.
  • Exploring the role of decision-making models in engineering management.
  • The impact of cultural diversity on engineering project teams.
  • Managing engineering projects in a globalized world: Challenges and strategies.
  • The role of knowledge management in engineering organizations.
  • The future of engineering management in the era of Industry 4.0.
  • Exploring the use of artificial intelligence in engineering project management.
  • The impact of stakeholder engagement on engineering project success.
  • The role of engineering management in ensuring workplace safety.
  • Exploring the use of BIM (Building Information Modeling) in construction project management.
  • The impact of regulatory compliance on engineering management practices.
  • Managing remote engineering teams: Challenges and solutions.
  • The role of innovation management in engineering firms.
  • Exploring resource allocation strategies in engineering projects.
  • The impact of risk management on the success of engineering startups.
  • Sustainable engineering management: Balancing economic and environmental concerns.
  • Exploring the role of engineering management in digital product development.

Industrial Engineering Thesis Topics

  • The role of industrial engineering in optimizing manufacturing processes.
  • Exploring lean manufacturing techniques for waste reduction.
  • The impact of Industry 4.0 on industrial engineering practices.
  • The role of Six Sigma in improving production quality.
  • Exploring automation in industrial engineering for efficiency improvements.
  • The future of smart factories: Challenges and opportunities for industrial engineers.
  • The role of industrial engineering in supply chain optimization.
  • Exploring human factors in industrial engineering: Enhancing safety and productivity.
  • The impact of robotics on modern manufacturing systems.
  • Exploring process optimization techniques for improving factory performance.
  • The role of predictive maintenance in industrial engineering.
  • Exploring digital twin technology in industrial engineering applications.
  • The impact of global supply chains on industrial engineering practices.
  • Industrial engineering solutions for energy-efficient production processes.
  • The role of simulation modeling in industrial engineering.
  • Exploring the future of additive manufacturing in industrial engineering.
  • The impact of big data on industrial engineering decision-making.
  • Exploring facility layout optimization techniques in manufacturing industries.
  • The role of industrial engineers in implementing sustainable manufacturing practices.
  • The impact of automation on labor productivity in industrial engineering.
  • Exploring advancements in material handling systems for industrial engineers.
  • The role of inventory management in optimizing production processes.
  • Exploring the integration of artificial intelligence in industrial engineering.
  • The impact of environmental regulations on industrial engineering practices.
  • Exploring ergonomic design principles in industrial engineering for worker safety.
  • The future of cyber-physical systems in industrial engineering.
  • Industrial engineering solutions for minimizing production downtime.
  • Exploring quality control techniques in modern manufacturing systems.
  • The role of industrial engineering in reducing production costs.
  • Exploring the impact of industrial engineering on product life cycle management.

Instrumentation and Control Engineering Thesis Topics

  • Exploring advanced control systems for industrial automation.
  • The role of PID controllers in optimizing process control systems.
  • Investigating wireless sensor networks in instrumentation and control systems.
  • The future of control engineering in smart manufacturing environments.
  • Exploring the use of AI in optimizing control systems for complex processes.
  • The role of SCADA systems in modern industrial control systems.
  • Exploring sensor fusion techniques for improving instrumentation accuracy.
  • The impact of IoT on instrumentation and control systems.
  • Exploring adaptive control systems for improving process efficiency.
  • The role of feedback control systems in robotic applications.
  • Exploring the use of neural networks in advanced control systems.
  • The impact of real-time data processing on instrumentation systems.
  • Investigating process control systems for chemical engineering applications.
  • The role of digital twin technology in instrumentation and control systems.
  • Exploring model predictive control for optimizing industrial processes.
  • The impact of control engineering on energy management systems.
  • Investigating instrumentation systems for renewable energy applications.
  • The role of automation in enhancing instrumentation system reliability.
  • Exploring advanced control algorithms for process optimization.
  • Investigating the use of fuzzy logic in control engineering applications.
  • The future of instrumentation and control systems in smart grids.
  • Exploring the integration of cyber-physical systems in control engineering.
  • Investigating the role of machine learning in predictive control systems.
  • Exploring instrumentation systems for aerospace engineering applications.
  • The impact of environmental monitoring on control system design.
  • Investigating the role of sensors in autonomous vehicle control systems.
  • The role of control engineering in developing safe automated systems.
  • Exploring distributed control systems for large-scale industrial operations.
  • The impact of process optimization on instrumentation system performance.
  • Investigating the role of virtual instrumentation in modern control engineering.

Mechanical Engineering Thesis Topics

  • The role of thermodynamics in optimizing mechanical systems.
  • Exploring advancements in fluid mechanics for engineering applications.
  • Investigating the future of renewable energy systems in mechanical engineering.
  • Exploring the role of mechanical engineering in developing autonomous vehicles.
  • The impact of additive manufacturing on mechanical engineering design.
  • Exploring the use of composite materials in mechanical engineering applications.
  • Investigating the role of vibration analysis in mechanical system diagnostics.
  • The role of robotics in mechanical engineering: Challenges and opportunities.
  • Exploring advancements in heat transfer for energy-efficient systems.
  • The role of mechanical engineering in developing sustainable transportation systems.
  • Exploring the future of mechanical engineering in the aerospace industry.
  • The role of mechanical engineering in advancing prosthetic limb technology.
  • Investigating energy storage systems in mechanical engineering applications.
  • The impact of computational fluid dynamics (CFD) on mechanical engineering design.
  • Exploring thermal management techniques for mechanical systems.
  • The role of mechanical engineering in designing energy-efficient HVAC systems.
  • Investigating noise reduction technologies in mechanical systems.
  • The future of mechanical engineering in the automotive industry.
  • Exploring smart materials for mechanical engineering applications.
  • The role of mechanical engineering in enhancing wind turbine efficiency.
  • Investigating mechanical system reliability in high-stress environments.
  • The impact of advanced manufacturing techniques on mechanical engineering design.
  • Exploring advancements in mechanical system simulation technologies.
  • The role of mechanical engineering in designing high-performance engines.
  • Investigating mechanical solutions for reducing greenhouse gas emissions.
  • Exploring the future of nanotechnology in mechanical engineering.
  • The role of mechanical engineering in developing next-generation batteries.
  • Investigating the use of AI in mechanical system diagnostics and maintenance.
  • The impact of mechatronics on the future of mechanical engineering.
  • Exploring advancements in mechanical design for space exploration.

Production Engineering Thesis Topics

  • The role of lean manufacturing in reducing production costs.
  • Exploring advancements in additive manufacturing for mass production.
  • The impact of Industry 4.0 on production systems and supply chains.
  • Investigating automation technologies for improving production efficiency.
  • Exploring process optimization techniques in large-scale manufacturing systems.
  • The role of robotics in improving production line efficiency.
  • Exploring sustainable production methods for reducing environmental impact.
  • The impact of digital twin technology on production planning.
  • Investigating smart factories: How IoT is transforming production systems.
  • The role of just-in-time (JIT) production in optimizing supply chains.
  • Exploring production scheduling techniques for minimizing lead times.
  • The impact of Six Sigma on production quality control.
  • Investigating energy-efficient production processes in industrial manufacturing.
  • The role of AI and machine learning in predictive maintenance for production equipment.
  • Exploring the use of 3D printing in the production of customized products.
  • Investigating production optimization using simulation models.
  • The future of mass customization in production engineering.
  • The role of automation in reducing labor costs in production systems.
  • Exploring sustainable materials in eco-friendly production systems.
  • The impact of global supply chain disruptions on production processes.
  • Investigating circular economy principles in modern production systems.
  • The role of advanced manufacturing technologies in the aerospace industry.
  • Exploring the integration of blockchain technology in production systems for better traceability.
  • The future of zero-waste manufacturing in production engineering.
  • Exploring ergonomics in production line design for worker safety.
  • The role of flexible manufacturing systems (FMS) in improving production agility.
  • Investigating bottleneck identification techniques in production engineering.
  • Exploring advancements in manufacturing execution systems (MES).
  • The role of sustainable packaging in the future of production engineering.
  • Investigating quality management systems (QMS) in the production of medical devices.

Structural Engineering Thesis Topics

  • Investigating the use of fiber-reinforced polymers in earthquake-resistant structures.
  • The role of structural health monitoring in bridge maintenance.
  • Exploring sustainable materials for green building designs.
  • The impact of climate change on structural integrity in coastal areas.
  • Investigating the role of structural engineering in high-rise building design.
  • Exploring advanced simulation techniques for analyzing structural performance.
  • The role of structural engineers in preserving historical buildings.
  • Investigating the use of composite materials in modern structural engineering.
  • Exploring the future of modular construction in the housing industry.
  • Investigating earthquake-resistant design techniques for urban infrastructure.
  • The role of wind engineering in designing resilient skyscrapers.
  • Exploring 3D printing technologies in structural engineering applications.
  • Investigating the use of recycled materials in sustainable structural engineering.
  • The impact of load-bearing capacity on structural designs for large-scale infrastructure.
  • Exploring the role of nanomaterials in structural engineering innovations.
  • The role of building information modeling (BIM) in optimizing structural designs.
  • Investigating soil-structure interaction in the design of foundation systems.
  • Exploring the role of seismic retrofitting techniques for aging infrastructure.
  • The impact of blast-resistant design on public safety in high-risk areas.
  • Investigating structural dynamics for better understanding of vibration and stability.
  • Exploring the future of smart structures: Integrating sensors for real-time monitoring.
  • Investigating fire-resistant structural designs in modern building construction.
  • The role of advanced concrete technology in improving structural durability.
  • Exploring sustainable urban development through efficient structural design.
  • The impact of foundation engineering on the safety of large-scale structures.
  • Investigating the role of parametric design in modern structural engineering.
  • The future of bamboo as a structural material in eco-friendly buildings.
  • Exploring adaptive structural systems for climate-resilient buildings.
  • Investigating the role of computational fluid dynamics (CFD) in wind load analysis.
  • The role of structural optimization in minimizing material usage without compromising safety.

Systems Engineering Thesis Topics

  • The role of systems engineering in developing large-scale infrastructure projects.
  • Investigating model-based systems engineering (MBSE) in complex systems design.
  • Exploring the use of systems engineering in healthcare system optimization.
  • The role of systems engineering in improving cybersecurity for critical infrastructures.
  • Investigating the future of autonomous systems in transportation engineering.
  • Exploring risk management strategies in systems engineering.
  • The role of systems engineering in sustainable energy systems development.
  • Investigating the use of systems engineering for designing smart cities.
  • The impact of systems engineering on space mission design and execution.
  • Exploring human factors engineering in complex systems integration.
  • The role of systems thinking in addressing global challenges in engineering.
  • Investigating systems engineering solutions for improving supply chain resilience.
  • Exploring systems integration challenges in defense and aerospace industries.
  • The role of systems engineering in ensuring safety in high-risk industries.
  • Investigating systems engineering approaches to optimizing the Internet of Things (IoT).
  • The role of systems dynamics in managing environmental sustainability projects.
  • Investigating systems engineering in the development of autonomous drones.
  • The role of simulation modeling in complex systems engineering projects.
  • Investigating systems engineering solutions for disaster recovery and resilience.
  • Exploring cyber-physical systems in industrial applications.
  • The role of systems engineering in optimizing electric vehicle charging infrastructure.
  • Investigating systems architecture design in multi-domain operations.
  • Exploring the integration of renewable energy systems in power grids using systems engineering.
  • The role of systems engineering in improving air traffic control systems.
  • Investigating systems engineering approaches to water resource management.
  • The impact of systems engineering on military logistics and operations.
  • Exploring systems engineering in the optimization of robotic systems for manufacturing.
  • The role of systems engineering in managing complex software development projects.
  • Investigating systems engineering solutions for smart healthcare systems.
  • Exploring artificial intelligence-driven systems engineering for adaptive automation.

Water Engineering Thesis Topics

  • The role of water resource management in sustainable urban development.
  • Investigating innovative water treatment technologies for improving water quality.
  • Exploring the impact of climate change on water availability and management.
  • Investigating desalination technologies for addressing global water scarcity.
  • The role of water engineering in flood prevention and mitigation.
  • Exploring water recycling technologies for sustainable industrial practices.
  • Investigating the role of water distribution systems in modern urban planning.
  • The impact of agricultural practices on water resources: Engineering solutions.
  • Investigating groundwater management techniques for improving water sustainability.
  • The role of water engineering in designing efficient irrigation systems.
  • Exploring the use of remote sensing in water resource monitoring and management.
  • The future of rainwater harvesting systems in sustainable building designs.
  • Investigating the role of smart water grids in improving water distribution efficiency.
  • The impact of urbanization on freshwater ecosystems: Engineering interventions.
  • Exploring the role of hydroinformatics in water resource management.
  • Investigating sustainable drainage systems for reducing urban flooding risks.
  • The role of water engineering in enhancing wastewater treatment processes.
  • Exploring the future of aquaponics systems in sustainable agriculture.
  • Investigating the use of AI in optimizing water management systems.
  • The impact of climate change on water engineering projects in coastal areas.
  • Exploring the role of water desalination plants in developing countries.
  • Investigating the challenges of maintaining water infrastructure in aging cities.
  • The role of bioengineering in improving natural water filtration systems.
  • Investigating the future of hydropower as a renewable energy source.
  • Exploring engineered wetlands as a solution for wastewater treatment.
  • The role of water engineering in addressing global sanitation challenges.
  • Investigating water quality monitoring technologies for early detection of pollutants.
  • Exploring low-energy water purification systems for remote communities.
  • The role of water engineering in designing eco-friendly urban waterfronts.
  • Investigating the future of decentralized water management systems.

Biotechnology Engineering Thesis Topics

  • Investigating the role of CRISPR technology in genetic engineering applications.
  • Exploring bioengineering solutions for developing artificial organs.
  • The role of biotechnology in developing sustainable biofuels.
  • Investigating the use of synthetic biology in medical research.
  • Exploring tissue engineering techniques for regenerative medicine.
  • Investigating the role of nanotechnology in drug delivery systems.
  • The impact of biotechnology on agricultural practices for improving crop yield.
  • Exploring advancements in biosensor technologies for medical diagnostics.
  • Investigating bioreactors for large-scale production of biological products.
  • The role of biotechnology in developing vaccines for emerging diseases.
  • Exploring bioinformatics tools for analyzing genetic data.
  • Investigating the future of gene therapy in treating genetic disorders.
  • The role of biotechnology in developing plant-based meat alternatives.
  • Investigating microbial engineering for bioremediation applications.
  • Exploring the use of 3D bioprinting in tissue engineering.
  • Investigating bioengineering approaches to improving wound healing processes.
  • The role of biotechnology in developing biodegradable plastics.
  • Investigating the potential of algae as a sustainable energy source.
  • Exploring the use of biosynthetic pathways for pharmaceutical production.
  • The role of bioinformatics in advancing personalized medicine.
  • Investigating the use of biotechnology in combating antibiotic resistance.
  • Exploring advancements in stem cell engineering for regenerative therapies.
  • Investigating biomaterials for use in medical implants.
  • The role of biotechnology in improving water purification systems.
  • Exploring bioengineering solutions for developing vaccines against cancer.
  • Investigating gene editing technologies for improving agricultural sustainability.
  • The future of DNA sequencing in understanding human evolution.
  • The role of biotechnology in advancing drug discovery and development.
  • Investigating biotechnology applications in environmental conservation.
  • Exploring bioengineering solutions for reducing food waste.

Energy Engineering Thesis Topics

  • Exploring advancements in solar energy harvesting and storage technologies.
  • The role of wind energy in achieving global renewable energy targets.
  • Investigating the impact of energy storage systems on grid stability.
  • The future of hydrogen as a clean energy source: Challenges and opportunities.
  • Exploring geothermal energy technologies for sustainable power generation.
  • Investigating energy efficiency measures in large-scale industrial systems.
  • The role of bioenergy in reducing dependence on fossil fuels.
  • Investigating the integration of renewable energy sources into existing power grids.
  • Exploring advancements in battery technologies for electric vehicles.
  • The role of smart grids in optimizing energy distribution and consumption.
  • Investigating the potential of wave and tidal energy for coastal regions.
  • Exploring energy-efficient building designs for sustainable urban development.
  • The impact of government policies on the adoption of renewable energy technologies.
  • Investigating the role of artificial intelligence in energy management systems.
  • Exploring the future of nuclear fusion as a long-term energy solution.
  • The role of energy engineering in reducing carbon emissions from power plants.
  • Exploring decentralized energy systems for rural electrification.
  • Investigating smart metering technologies for improved energy efficiency.
  • The role of thermal energy storage in renewable energy systems.
  • Exploring the future of floating solar power plants.
  • Investigating the potential of hybrid renewable energy systems for continuous power generation.
  • The role of energy audits in optimizing industrial energy consumption.
  • Exploring advancements in concentrated solar power (CSP) technologies.
  • Investigating energy recovery systems for waste-to-energy plants.
  • The role of blockchain technology in facilitating energy trading in decentralized grids.
  • Exploring offshore wind farms: Engineering challenges and future potential.
  • Investigating the use of AI in forecasting renewable energy generation.
  • The role of energy-efficient transportation systems in reducing global emissions.
  • Exploring energy policy frameworks for achieving net-zero carbon targets.
  • Investigating the future of energy microgrids in sustainable urban environments.

Environmental Engineering Thesis Topics

  • The role of environmental engineering in addressing plastic pollution in oceans.
  • Investigating advanced wastewater treatment technologies for industrial effluents.
  • Exploring sustainable urban drainage systems for flood prevention.
  • The role of bioengineering in ecosystem restoration projects.
  • Investigating carbon capture and storage technologies for reducing greenhouse gas emissions.
  • The impact of urbanization on freshwater ecosystems: Engineering solutions.
  • Exploring the future of air quality monitoring technologies.
  • The role of environmental engineering in sustainable landfills and waste management.
  • Investigating water treatment processes for desalination plants in arid regions.
  • Exploring sustainable agriculture practices for reducing environmental impact.
  • The role of environmental impact assessments in large-scale infrastructure projects.
  • Investigating biofiltration systems for improving air quality in industrial areas.
  • Exploring the potential of green roofs for urban cooling and energy efficiency.
  • The role of environmental engineering in managing coastal erosion.
  • Investigating the environmental benefits of urban green spaces and reforestation projects.
  • Exploring the role of nanotechnology in water purification systems.
  • Investigating microbial bioremediation for oil spill cleanup.
  • The impact of climate change on water resource management: Engineering approaches.
  • Exploring zero-waste engineering solutions for sustainable urban living.
  • The role of environmental engineering in mitigating the urban heat island effect.
  • Investigating the future of bioplastics in reducing plastic waste pollution.
  • Exploring energy-efficient technologies in wastewater treatment plants.
  • Investigating the use of algae in carbon sequestration and biofuel production.
  • The role of environmental engineering in designing eco-friendly transportation systems.
  • Exploring innovations in soil remediation technologies for contaminated land.
  • Investigating environmental monitoring technologies for real-time pollution tracking.
  • Exploring sustainable stormwater management systems for urban environments.
  • The role of environmental engineering in managing deforestation and biodiversity loss.
  • Investigating low-impact development techniques for sustainable urban planning.
  • Exploring advancements in renewable energy technologies for off-grid rural communities.

Automotive Engineering Thesis Topics

  • Exploring advancements in electric vehicle battery technologies for extended range.
  • Investigating the role of AI in autonomous vehicle navigation systems.
  • The future of hydrogen fuel cell vehicles: Challenges and opportunities.
  • Exploring lightweight materials for improving fuel efficiency in automotive design.
  • Investigating the impact of vehicle-to-everything (V2X) communication on road safety.
  • The role of automotive engineering in developing electric trucks for long-haul transportation.
  • Exploring advancements in regenerative braking systems for hybrid vehicles.
  • Investigating the future of self-healing materials in automotive manufacturing.
  • The role of aerodynamics in enhancing the performance of electric vehicles.
  • Exploring advancements in wireless charging technologies for electric vehicles.
  • Investigating smart sensors for enhancing vehicle safety and collision avoidance.
  • The role of automotive engineering in reducing the environmental impact of internal combustion engines.
  • Exploring the future of electric motorsport: Engineering challenges and opportunities.
  • Investigating the potential of solar-powered vehicles in reducing energy consumption.
  • The role of automotive engineers in designing energy-efficient autonomous drones.
  • Exploring smart infotainment systems and their impact on the driving experience.
  • Investigating advancements in automotive cybersecurity for connected vehicles.
  • The future of solid-state batteries in electric vehicle development.
  • Exploring vehicle-to-grid (V2G) technology for energy storage and distribution.
  • The role of electric vehicle charging infrastructure in accelerating EV adoption.
  • Investigating the impact of 3D printing on automotive manufacturing processes.
  • The future of biofuels in reducing emissions from conventional vehicles.
  • Exploring advanced driver-assistance systems (ADAS) for improving road safety.
  • Investigating the role of automotive engineering in developing smart tire technologies.
  • The impact of vehicle electrification on global oil consumption.
  • Exploring autonomous vehicle ethics: Decision-making algorithms and moral dilemmas.
  • Investigating advancements in crash testing technologies for electric vehicles.
  • The role of hybrid powertrains in reducing fuel consumption and emissions.
  • Exploring advancements in noise reduction technologies for improving passenger comfort.
  • Investigating the future of fully autonomous public transportation systems.

Materials Engineering Thesis Topics

  • Investigating the role of nanomaterials in enhancing the strength of structural composites.
  • Exploring advancements in 3D printing materials for industrial applications.
  • The impact of smart materials on the future of robotics and automation.
  • Investigating the role of graphene in improving battery efficiency.
  • Exploring biodegradable polymers for sustainable packaging solutions.
  • Investigating the use of shape-memory alloys in aerospace engineering.
  • The future of carbon fiber composites in lightweight vehicle design.
  • Exploring advancements in high-temperature superconducting materials.
  • Investigating biomaterials for medical implants and tissue engineering.
  • The role of phase-change materials in enhancing energy efficiency in buildings.
  • Exploring the impact of self-healing materials on the durability of infrastructure.
  • Investigating corrosion-resistant materials for marine engineering applications.
  • The role of advanced ceramics in high-performance engine components.
  • Exploring smart textiles for wearable technology applications.
  • Investigating advancements in materials for energy-efficient windows and insulation.
  • The role of piezoelectric materials in energy harvesting technologies.
  • Exploring biocompatible materials for use in drug delivery systems.
  • Investigating the use of nanomaterials in improving the performance of solar cells.
  • The future of eco-friendly construction materials in sustainable building design.
  • Exploring advancements in composite materials for aerospace structures.
  • Investigating materials for next-generation flexible electronics.
  • The role of quantum dots in improving display technologies.
  • Exploring the use of biomaterials for developing artificial organs.
  • Investigating high-strength alloys for automotive and aerospace industries.
  • The impact of materials engineering on the future of electric vehicle design.
  • Exploring the role of polymers in reducing the environmental impact of packaging.
  • Investigating sustainable materials for use in green building projects.
  • The role of materials science in developing new catalysts for energy storage.
  • Exploring advancements in thermal barrier coatings for gas turbines.
  • Investigating the future of materials engineering in space exploration.

Robotics Engineering Thesis Topics

  • Investigating the role of AI in enhancing robotic perception and decision-making.
  • Exploring the future of humanoid robots in healthcare applications.
  • The role of swarm robotics in optimizing complex tasks in industrial settings.
  • Investigating advancements in soft robotics for medical and surgical applications.
  • Exploring autonomous underwater robots for deep-sea exploration.
  • The role of robotics in agriculture: Precision farming and crop monitoring.
  • Investigating the future of robotics in space exploration missions.
  • Exploring advancements in robotic exoskeletons for physical rehabilitation.
  • The role of collaborative robots (cobots) in enhancing workplace safety.
  • Investigating the use of biomimicry in robotics design for improved mobility.
  • Exploring the impact of autonomous drones on logistics and delivery systems.
  • The role of robotics in disaster response and search-and-rescue operations.
  • Investigating sensor fusion techniques for improving robotic navigation.
  • Exploring advancements in robotic vision systems for object recognition.
  • The role of wearable robotics in assisting the elderly and disabled populations.
  • Investigating advancements in autonomous robots for manufacturing industries.
  • Exploring the future of AI-driven robots in smart cities.
  • The role of robotic surgery in enhancing precision and reducing recovery times.
  • Investigating the ethical implications of fully autonomous robots in warfare.
  • Exploring the future of robotics in autonomous driving systems.
  • Investigating tactile sensing technologies for improving robot-human interactions.
  • The role of swarm intelligence in coordinating large-scale robotic systems.
  • Exploring advancements in robotic grippers for delicate object handling.
  • Investigating human-robot collaboration in industrial automation.
  • The role of AI in improving the efficiency of robotic vacuum systems.
  • Exploring the future of robotics in educational tools and learning environments.
  • Investigating advancements in autonomous cleaning robots for commercial spaces.
  • The role of robotics in environmental monitoring and conservation efforts.
  • Exploring haptic feedback systems for enhancing the control of robotic arms.
  • Investigating the future of modular robotics for adaptive manufacturing systems.

This comprehensive list of 600 engineering thesis topics highlights the breadth and depth of research possibilities available in various fields of engineering. From addressing current issues like sustainability and digital transformation to exploring future technologies such as quantum computing and AI, these topics provide students with an array of opportunities to engage in meaningful research. By selecting a topic that resonates with your academic interests and career aspirations, you can contribute valuable insights to the ever-evolving world of engineering.

The Range of Engineering Thesis Topics

Engineering is a dynamic and evolving field that plays a crucial role in shaping the future of technology, infrastructure, and innovation. With a wide array of disciplines, from civil engineering to robotics, students pursuing a degree in engineering have the opportunity to explore diverse and impactful topics for their thesis. This article provides an overview of the various directions students can take when selecting engineering thesis topics, focusing on current issues, recent trends, and future opportunities. By understanding these aspects, students can choose topics that not only align with their interests but also contribute to advancing the field of engineering.

Current Issues in Engineering

The engineering world is constantly responding to global challenges that affect industries, societies, and the environment. Many of these challenges provide excellent opportunities for thesis research.

  • Sustainability and Renewable Energy One of the most pressing issues in modern engineering is the global demand for sustainable energy solutions. As the effects of climate change become more apparent, engineers are tasked with developing technologies that reduce carbon emissions and promote cleaner energy sources. Thesis topics in this area could include advancements in solar and wind energy, innovations in energy storage systems, or the integration of renewable energy into existing grids. These topics are critical as governments and industries push for decarbonization and energy efficiency in response to environmental concerns.
  • Infrastructure and Urbanization Rapid urbanization and the growing population have placed immense pressure on infrastructure systems, leading to a range of engineering challenges. Civil engineers, in particular, are focusing on sustainable urban development, resilient infrastructure, and smart city technologies to address these concerns. Students can explore topics related to flood prevention, transportation systems, and the development of sustainable materials for construction. The demand for safer, more efficient, and environmentally friendly infrastructure is driving innovation in this sector.
  • Cybersecurity and Data Protection With the increasing digitalization of industries, cybersecurity has emerged as a critical issue in the engineering world, particularly in fields such as computer engineering and electronics. Protecting sensitive data, securing communication systems, and safeguarding industrial control systems are significant challenges. Topics like cybersecurity protocols for IoT devices, secure communication in smart grids, and encryption technologies for industrial systems are crucial areas of research, especially as industries continue to digitize operations.

Recent Trends in Engineering

In addition to tackling ongoing global issues, engineers are also at the forefront of developing and integrating new technologies that are transforming industries and shaping the future.

  • Autonomous Systems and Artificial Intelligence (AI) One of the most exciting trends in engineering is the rise of autonomous systems and AI. From self-driving cars to robotic assistants, these technologies are revolutionizing industries such as transportation, healthcare, and manufacturing. Robotics engineering and AI integration in various fields present a broad range of thesis topics, such as autonomous vehicle navigation, AI-driven robotics for medical applications, and ethical considerations in the deployment of autonomous systems. As these technologies continue to advance, they will redefine how we interact with machines and how businesses operate.
  • Digital Twin and Simulation Technologies Digital twins and simulation technologies are gaining traction in sectors like manufacturing, aerospace, and energy. A digital twin is a virtual representation of a physical system that allows for real-time monitoring, predictive maintenance, and process optimization. Thesis topics in this area could explore the application of digital twin technology in smart manufacturing, its role in optimizing energy systems, or its use in predictive maintenance for complex infrastructure. This trend represents a shift towards more efficient, data-driven engineering processes that improve both productivity and sustainability.
  • Advances in Materials Science Materials engineering is another area where recent trends are creating opportunities for innovation. The development of smart materials, nanomaterials, and biodegradable polymers is opening up new possibilities in fields such as healthcare, construction, and aerospace. Students interested in materials science can explore topics like the use of nanomaterials in medical devices, self-healing materials for infrastructure, or the development of eco-friendly packaging solutions. These advancements have the potential to transform industries by enhancing product performance and sustainability.

Future Directions in Engineering

As the field of engineering continues to evolve, emerging technologies and innovative approaches will shape its future. Students looking to push the boundaries of what’s possible should consider future-focused thesis topics that address upcoming challenges and opportunities.

  • Quantum Computing and Quantum Engineering Quantum computing is poised to revolutionize industries by solving problems that are currently beyond the reach of classical computers. This cutting-edge field has the potential to transform areas such as cryptography, material science, and artificial intelligence. Engineering students interested in this area can focus on topics like the development of quantum algorithms, quantum communication technologies, or the integration of quantum computing with traditional systems. As quantum computing moves closer to practical application, engineers will play a critical role in its development and deployment.
  • Sustainable Engineering and Circular Economies As environmental concerns continue to grow, the shift towards sustainable engineering practices and circular economies is gaining momentum. Circular economies focus on minimizing waste and maximizing the use of resources by reusing, recycling, and regenerating materials. Thesis topics could explore sustainable engineering solutions for waste management, energy recovery from waste, or the design of eco-friendly products that align with circular economy principles. These topics will become increasingly important as industries seek to reduce their environmental footprint.
  • Space Exploration and Off-Earth Engineering The renewed focus on space exploration presents exciting opportunities for engineers to contribute to the development of off-Earth habitats, space travel, and resource utilization on other planets. With missions to Mars and the Moon on the horizon, thesis topics could include the development of space habitats, autonomous systems for extraterrestrial resource extraction, or the engineering of sustainable life support systems. As humanity ventures further into space, engineering will be at the forefront of solving the technical challenges involved.

Engineering offers a vast and diverse range of thesis topics that reflect the current challenges, recent trends, and future opportunities in the field. Whether you are interested in sustainability, robotics, or quantum computing, there is a wealth of possibilities for students to explore and contribute meaningful research. By focusing on areas that are driving innovation and addressing global issues, students can ensure their thesis projects have a lasting impact on both the engineering community and society as a whole. With the rapid pace of technological advancement, the future of engineering promises to be filled with new discoveries, challenges, and opportunities.

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Research Topics & Ideas: CompSci & IT

Dissertation Coaching

NB – This is just the start…

The topic ideation and evaluation process has multiple steps . In this post, we’ll kickstart the process by sharing some research topic ideas within the CompSci domain. This is the starting point, but to develop a well-defined research topic, you’ll need to identify a clear and convincing research gap , along with a well-justified plan of action to fill that gap.

Overview: CompSci Research Topics

  • Algorithms & data structures
  • Artificial intelligence ( AI )
  • Computer networking
  • Database systems
  • Human-computer interaction
  • Information security (IS)
  • Software engineering
  • Examples of CompSci dissertation & theses

Topics/Ideas: Algorithms & Data Structures

  • An analysis of neural network algorithms’ accuracy for processing consumer purchase patterns
  • A systematic review of the impact of graph algorithms on data analysis and discovery in social media network analysis
  • An evaluation of machine learning algorithms used for recommender systems in streaming services
  • A review of approximation algorithm approaches for solving NP-hard problems
  • An analysis of parallel algorithms for high-performance computing of genomic data
  • The influence of data structures on optimal algorithm design and performance in Fintech
  • A Survey of algorithms applied in internet of things (IoT) systems in supply-chain management
  • A comparison of streaming algorithm performance for the detection of elephant flows
  • A systematic review and evaluation of machine learning algorithms used in facial pattern recognition
  • Exploring the performance of a decision tree-based approach for optimizing stock purchase decisions
  • Assessing the importance of complete and representative training datasets in Agricultural machine learning based decision making.
  • A Comparison of Deep learning algorithms performance for structured and unstructured datasets with “rare cases”
  • A systematic review of noise reduction best practices for machine learning algorithms in geoinformatics.
  • Exploring the feasibility of applying information theory to feature extraction in retail datasets.
  • Assessing the use case of neural network algorithms for image analysis in biodiversity assessment

Topics & Ideas: Artificial Intelligence (AI)

  • Applying deep learning algorithms for speech recognition in speech-impaired children
  • A review of the impact of artificial intelligence on decision-making processes in stock valuation
  • An evaluation of reinforcement learning algorithms used in the production of video games
  • An exploration of key developments in natural language processing and how they impacted the evolution of Chabots.
  • An analysis of the ethical and social implications of artificial intelligence-based automated marking
  • The influence of large-scale GIS datasets on artificial intelligence and machine learning developments
  • An examination of the use of artificial intelligence in orthopaedic surgery
  • The impact of explainable artificial intelligence (XAI) on transparency and trust in supply chain management
  • An evaluation of the role of artificial intelligence in financial forecasting and risk management in cryptocurrency
  • A meta-analysis of deep learning algorithm performance in predicting and cyber attacks in schools

Research Topic Mega List

Topics & Ideas: Networking

  • An analysis of the impact of 5G technology on internet penetration in rural Tanzania
  • Assessing the role of software-defined networking (SDN) in modern cloud-based computing
  • A critical analysis of network security and privacy concerns associated with Industry 4.0 investment in healthcare.
  • Exploring the influence of cloud computing on security risks in fintech.
  • An examination of the use of network function virtualization (NFV) in telecom networks in Southern America
  • Assessing the impact of edge computing on network architecture and design in IoT-based manufacturing
  • An evaluation of the challenges and opportunities in 6G wireless network adoption
  • The role of network congestion control algorithms in improving network performance on streaming platforms
  • An analysis of network coding-based approaches for data security
  • Assessing the impact of network topology on network performance and reliability in IoT-based workspaces

Free Webinar: How To Find A Dissertation Research Topic

Topics & Ideas: Database Systems

  • An analysis of big data management systems and technologies used in B2B marketing
  • The impact of NoSQL databases on data management and analysis in smart cities
  • An evaluation of the security and privacy concerns of cloud-based databases in financial organisations
  • Exploring the role of data warehousing and business intelligence in global consultancies
  • An analysis of the use of graph databases for data modelling and analysis in recommendation systems
  • The influence of the Internet of Things (IoT) on database design and management in the retail grocery industry
  • An examination of the challenges and opportunities of distributed databases in supply chain management
  • Assessing the impact of data compression algorithms on database performance and scalability in cloud computing
  • An evaluation of the use of in-memory databases for real-time data processing in patient monitoring
  • Comparing the effects of database tuning and optimization approaches in improving database performance and efficiency in omnichannel retailing

Topics & Ideas: Human-Computer Interaction

  • An analysis of the impact of mobile technology on human-computer interaction prevalence in adolescent men
  • An exploration of how artificial intelligence is changing human-computer interaction patterns in children
  • An evaluation of the usability and accessibility of web-based systems for CRM in the fast fashion retail sector
  • Assessing the influence of virtual and augmented reality on consumer purchasing patterns
  • An examination of the use of gesture-based interfaces in architecture
  • Exploring the impact of ease of use in wearable technology on geriatric user
  • Evaluating the ramifications of gamification in the Metaverse
  • A systematic review of user experience (UX) design advances associated with Augmented Reality
  • A comparison of natural language processing algorithms automation of customer response Comparing end-user perceptions of natural language processing algorithms for automated customer response
  • Analysing the impact of voice-based interfaces on purchase practices in the fast food industry

Research Topic Kickstarter - Need Help Finding A Research Topic?

Topics & Ideas: Information Security

  • A bibliometric review of current trends in cryptography for secure communication
  • An analysis of secure multi-party computation protocols and their applications in cloud-based computing
  • An investigation of the security of blockchain technology in patient health record tracking
  • A comparative study of symmetric and asymmetric encryption algorithms for instant text messaging
  • A systematic review of secure data storage solutions used for cloud computing in the fintech industry
  • An analysis of intrusion detection and prevention systems used in the healthcare sector
  • Assessing security best practices for IoT devices in political offices
  • An investigation into the role social media played in shifting regulations related to privacy and the protection of personal data
  • A comparative study of digital signature schemes adoption in property transfers
  • An assessment of the security of secure wireless communication systems used in tertiary institutions

Topics & Ideas: Software Engineering

  • A study of agile software development methodologies and their impact on project success in pharmacology
  • Investigating the impacts of software refactoring techniques and tools in blockchain-based developments
  • A study of the impact of DevOps practices on software development and delivery in the healthcare sector
  • An analysis of software architecture patterns and their impact on the maintainability and scalability of cloud-based offerings
  • A study of the impact of artificial intelligence and machine learning on software engineering practices in the education sector
  • An investigation of software testing techniques and methodologies for subscription-based offerings
  • A review of software security practices and techniques for protecting against phishing attacks from social media
  • An analysis of the impact of cloud computing on the rate of software development and deployment in the manufacturing sector
  • Exploring the impact of software development outsourcing on project success in multinational contexts
  • An investigation into the effect of poor software documentation on app success in the retail sector

CompSci & IT Dissertations/Theses

While the ideas we’ve presented above are a decent starting point for finding a CompSci-related research topic, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses to see how this all comes together.

Below, we’ve included a selection of research projects from various CompSci-related degree programs to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.

  • An array-based optimization framework for query processing and data analytics (Chen, 2021)
  • Dynamic Object Partitioning and replication for cooperative cache (Asad, 2021)
  • Embedding constructural documentation in unit tests (Nassif, 2019)
  • PLASA | Programming Language for Synchronous Agents (Kilaru, 2019)
  • Healthcare Data Authentication using Deep Neural Network (Sekar, 2020)
  • Virtual Reality System for Planetary Surface Visualization and Analysis (Quach, 2019)
  • Artificial neural networks to predict share prices on the Johannesburg stock exchange (Pyon, 2021)
  • Predicting household poverty with machine learning methods: the case of Malawi (Chinyama, 2022)
  • Investigating user experience and bias mitigation of the multi-modal retrieval of historical data (Singh, 2021)
  • Detection of HTTPS malware traffic without decryption (Nyathi, 2022)
  • Redefining privacy: case study of smart health applications (Al-Zyoud, 2019)
  • A state-based approach to context modeling and computing (Yue, 2019)
  • A Novel Cooperative Intrusion Detection System for Mobile Ad Hoc Networks (Solomon, 2019)
  • HRSB-Tree for Spatio-Temporal Aggregates over Moving Regions (Paduri, 2019)

Looking at these titles, you can probably pick up that the research topics here are quite specific and narrowly-focused , compared to the generic ones presented earlier. This is an important thing to keep in mind as you develop your own research topic. That is to say, to create a top-notch research topic, you must be precise and target a specific context with specific variables of interest . In other words, you need to identify a clear, well-justified research gap.

Fast-Track Your Research Topic

If you’re still feeling a bit unsure about how to find a research topic for your Computer Science dissertation or research project, check out our Topic Kickstarter service.

Find The Perfect Research Topic

How To Choose A Research Topic: 5 Key Criteria

How To Choose A Research Topic: 5 Key Criteria

How To Choose A Research Topic Step-By-Step Tutorial With Examples + Free Topic...

Research Topics & Ideas: Automation & Robotics

Research Topics & Ideas: Automation & Robotics

A comprehensive list of automation and robotics-related research topics. Includes free access to a webinar and research topic evaluator.

Research Topics & Ideas: Sociology

Research Topics & Ideas: Sociology

A comprehensive list of sociology-related research topics. Includes free access to a webinar and research topic evaluator.

Research Topics & Ideas: Public Health & Epidemiology

Research Topics & Ideas: Public Health & Epidemiology

A comprehensive list of public health-related research topics. Includes free access to a webinar and research topic evaluator.

Research Topics & Ideas: Neuroscience

Research Topics & Ideas: Neuroscience

A comprehensive list of neuroscience-related research topics. Includes free access to a webinar and research topic evaluator.

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12 Comments

Ernest Joseph

Investigating the impacts of software refactoring techniques and tools in blockchain-based developments.

Steps on getting this project topic

Alphonso C Nah

I want to work with this topic and I need a guide: assessing the impact of Network topology on Network performance and reliability in LoT-based workspace.

Joseph

I want to work with this topic, am requesting materials to guide.

Yadessa Dugassa

Information Technology -MSc program

Andrew Itodo

It’s really interesting but how can I have access to the materials to guide me through my work?

Sorie A. Turay

That’s my problem also.

kumar

Investigating the impacts of software refactoring techniques and tools in blockchain-based developments is in my favour. May i get the proper material about that ?

BEATRICE OSAMEGBE

BLOCKCHAIN TECHNOLOGY

Nanbon Temasgen

I NEED TOPIC

Andrew Alafassi

Database Management Systems

K

Can you give me a Research title for system

Cass

Can you suggest a research topic for computer science college student?

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Computer Science and Engineering Theses and Dissertations

Theses/dissertations from 2024 2024.

Blind Evaluation Framework for Fully Homomorphic Encryption and Privacy-Preserving Machine Learning , Hunjae Lee

Beyond the Horizon: Exploring Anomaly Detection Potentials with Federated Learning and Hybrid Transformers in Spacecraft Telemetry , JUAN RODRIGUEZ

Neuro-Symbolic Commonsense Reasoning with Resistance to Data Poisoning: A First-Order Logic and Sub-Symbolic Embeddings Framework , Bryce Shurts and King-Ip Lin

Intelligent Resource Allocation for SDN/NFV-Enabled Networks through Reinforcement Learning , Jing Su

Supporting Service Composition through Service Usage-based Recommendation , Xihao Xie

Theses/Dissertations from 2023 2023

End to End Routing Algorithms in Arbitrary Networks , Nada Alzaben

Visualized Algorithm Engineering on Two Graph Partitioning Problems , Zizhen Chen

Modified Dominator Algorithm For Strategic Placement Of Resources For Enterprise Security , Stacey Elliott

Real-Time Detection and Suppression of Malicious Attacks Using Machine Learning and Processor Core Events , ROBERT oshana

Computationally Efficient Design, Diagnosis, And Test Of Analog Integrated Circuit Analysis , Nisharg Shah

Data Leakage in Isolated Virtualized Enterprise Computing Systems , Zechariah D.J. Wolf

Theses/Dissertations from 2022 2022

Human Trafficking and Machine Learning: A Data Pipeline from Law Agencies to Research Groups , Nathaniel Hites

Towards Multipronged On-chip Memory and Data Protection From Verification to Design and Test , Senwen Kan and Jennifer Dworak

Performance Analytics of Cloud Networks , Derek Phanekham

IllumiCore: Efficient Resource Allocation to Minimize Network Communication Latency , Leo Popokh

Theses/Dissertations from 2021 2021

Collaborative Filtering based Generative Networks , Raghuram Srinivas

Reducing Power During Manufacturing Test Using Different Architectures , Yi Sun

Developing Iot-Based Geophysical Micro-Observatories Utilizing Cloud Computing , Joshua Sylvester

Enhanced Security Utilizing Side Channel Data Analysis , Michael Taylor

Using a Light-Based Power Source to Defeat Power Analysis Attacks , Remus Valentin Tumac

Exploring Neural Networks For Predicting Sentinel-C Backscatter Between Image Acquisitions , Zhongdi Wu

Theses/Dissertations from 2020 2020

Analyzing Performance, Energy Consumption, and Reliability of Mobile Applications , Osama Barack

Deep Neural Network Based Student Response Modeling With Uncertainty, Multimodality and Attention , Xinyi Ding

Analysis of Github Pull Requests , Canon Ellis

The Prom Problem: Fair and Privacy-Enhanced Matchmaking with Identity Linked Wishes , Dwight Horne

Heuristics for Sparsest Cut Approximations in Network Flow Applications , Fernando Vilas

Cognition and Context-Aware Computing: Towards a Situation-Aware System with a Case Study in Aviation , Justin C. Wilson

Automating Cyber Analytics , Matthew Zaber

Theses/Dissertations from 2019 2019

Long Term Software Quality and Reliability Assurance in a Small Company , Eric Abuta

A Grammar Based Approach to Distributed Systems Fault Diagnosis Using Log Files , Stephen Hanka

Automating Software Changes via Recommendation Systems , Xiaoyu Liu

Theses/Dissertations from 2018 2018

Cloud Service Reliability and Usability Measurement , Abdullah Bokhary

Black Networks in Smart Cities , Shaibal Chakrabarty

Improving System-On-Chip Test Networks For: Bandwidth, Security, and Power , Saurabh Gupta

Leveraging Grammars For OpenMP Development in Supercomputing Environments , Samuel Hunter

Understanding Natural Keyboard Typing Using Convolutional Neural Networks on Mobile Sensor Data , Travis Siems

Cell-Aware Fault Analysis and Test Set Optimization in Digital Integrated Circuits , Fanchen Zhang and Jennifer Dworak

Theses/Dissertations from 2017 2017

Implementation of Switching Circuit Models as Vector Space Transformations , David Kebo Houngninou

RGB Image-Based Pupillary Diameter Tracking with Deep Convolutional Neural Networks , Chatchai Wangwiwattana

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This collection of MIT Theses in DSpace contains selected theses and dissertations from all MIT departments. Please note that this is NOT a complete collection of MIT theses. To search all MIT theses, use MIT Libraries' catalog .

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.

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How to Contact Faculty for IW/Thesis Advising

Send the professor an e-mail. When you write a professor, be clear that you want a meeting regarding a senior thesis or one-on-one IW project, and briefly describe the topic or idea that you want to work on. Check the faculty listing for email addresses.

Parastoo Abtahi, Room 419

Available for single-semester IW and senior thesis advising, 2024-2025

  • Research Areas: Human-Computer Interaction (HCI), Augmented Reality (AR), and Spatial Computing
  • Input techniques for on-the-go interaction (e.g., eye-gaze, microgestures, voice) with a focus on uncertainty, disambiguation, and privacy.
  • Minimal and timely multisensory output (e.g., spatial audio, haptics) that enables users to attend to their physical environment and the people around them, instead of a 2D screen.
  • Interaction with intelligent systems (e.g., IoT, robots) situated in physical spaces with a focus on updating users’ mental model despite the complexity and dynamicity of these systems.

Ryan Adams, Room 411

Research areas:

  • Machine learning driven design
  • Generative models for structured discrete objects
  • Approximate inference in probabilistic models
  • Accelerating solutions to partial differential equations
  • Innovative uses of automatic differentiation
  • Modeling and optimizing 3d printing and CNC machining

Andrew Appel, Room 209

Available for Fall 2024 IW advising, only

  • Research Areas: Formal methods, programming languages, compilers, computer security.
  • Software verification (for which taking COS 326 / COS 510 is helpful preparation)
  • Game theory of poker or other games (for which COS 217 / 226 are helpful)
  • Computer game-playing programs (for which COS 217 / 226)
  •  Risk-limiting audits of elections (for which ORF 245 or other knowledge of probability is useful)

Sanjeev Arora, Room 407

  • Theoretical machine learning, deep learning and its analysis, natural language processing. My advisees would typically have taken a course in algorithms (COS423 or COS 521 or equivalent) and a course in machine learning.
  • Show that finding approximate solutions to NP-complete problems is also NP-complete (i.e., come up with NP-completeness reductions a la COS 487). 
  • Experimental Algorithms: Implementing and Evaluating Algorithms using existing software packages. 
  • Studying/designing provable algorithms for machine learning and implementions using packages like scipy and MATLAB, including applications in Natural language processing and deep learning.
  • Any topic in theoretical computer science.

David August, Room 221

Not available for IW or thesis advising, 2024-2025

  • Research Areas: Computer Architecture, Compilers, Parallelism
  • Containment-based approaches to security:  We have designed and tested a simple hardware+software containment mechanism that stops incorrect communication resulting from faults, bugs, or exploits from leaving the system.   Let's explore ways to use containment to solve real problems.  Expect to work with corporate security and technology decision-makers.
  • Parallelism: Studies show much more parallelism than is currently realized in compilers and architectures.  Let's find ways to realize this parallelism.
  • Any other interesting topic in computer architecture or compilers. 

Mark Braverman, 194 Nassau St., Room 231

  • Research Areas: computational complexity, algorithms, applied probability, computability over the real numbers, game theory and mechanism design, information theory.
  • Topics in computational and communication complexity.
  • Applications of information theory in complexity theory.
  • Algorithms for problems under real-life assumptions.
  • Game theory, network effects
  • Mechanism design (could be on a problem proposed by the student)

Bernard Chazelle, 194 Nassau St., Room 301

  • Research Areas: Natural Algorithms, Computational Geometry, Sublinear Algorithms. 
  • Natural algorithms (flocking, swarming, social networks, etc).
  • Sublinear algorithms
  • Self-improving algorithms
  • Markov data structures

Danqi Chen, Room 412

  • My advisees would be expected to have taken a course in machine learning and ideally have taken COS484 or an NLP graduate seminar.
  • Representation learning for text and knowledge bases
  • Pre-training and transfer learning
  • Question answering and reading comprehension
  • Information extraction
  • Text summarization
  • Any other interesting topics related to natural language understanding/generation

Marcel Dall'Agnol, Corwin 034

  • Research Areas: Theoretical computer science. (Specifically, quantum computation, sublinear algorithms, complexity theory, interactive proofs and cryptography)
  • Research Areas: Machine learning

Jia Deng, Room 423

  •  Research Areas: Computer Vision, Machine Learning.
  • Object recognition and action recognition
  • Deep Learning, autoML, meta-learning
  • Geometric reasoning, logical reasoning

Adji Bousso Dieng, Room 406

  • Research areas: Vertaix is a research lab at Princeton University led by Professor Adji Bousso Dieng. We work at the intersection of artificial intelligence (AI) and the natural sciences. The models and algorithms we develop are motivated by problems in those domains and contribute to advancing methodological research in AI. We leverage tools in statistical machine learning and deep learning in developing methods for learning with the data, of various modalities, arising from the natural sciences.

Robert Dondero, Corwin Hall, Room 038

  • Research Areas:  Software engineering; software engineering education.
  • Develop or evaluate tools to facilitate student learning in undergraduate computer science courses at Princeton, and beyond.
  • In particular, can code critiquing tools help students learn about software quality?

Zeev Dvir, 194 Nassau St., Room 250

  • Research Areas: computational complexity, pseudo-randomness, coding theory and discrete mathematics.
  • Independent Research: I have various research problems related to Pseudorandomness, Coding theory, Complexity and Discrete mathematics - all of which require strong mathematical background. A project could also be based on writing a survey paper describing results from a few theory papers revolving around some particular subject.

Benjamin Eysenbach, Room 416

  • Research areas: reinforcement learning, machine learning. My advisees would typically have taken COS324.
  • Using RL algorithms to applications in science and engineering.
  • Emergent behavior of RL algorithms on high-fidelity robotic simulators.
  • Studying how architectures and representations can facilitate generalization.

Christiane Fellbaum, 1-S-14 Green

Available for single-semester IW, 2024-2025. No longer available for senior thesis advising.

  • Research Areas: theoretical and computational linguistics, word sense disambiguation, lexical resource construction, English and multilingual WordNet(s), ontology
  • Anything having to do with natural language--come and see me with/for ideas suitable to your background and interests. Some topics students have worked on in the past:
  • Developing parsers, part-of-speech taggers, morphological analyzers for underrepresented languages (you don't have to know the language to develop such tools!)
  • Quantitative approaches to theoretical linguistics questions
  • Extensions and interfaces for WordNet (English and WN in other languages),
  • Applications of WordNet(s), including:
  • Foreign language tutoring systems,
  • Spelling correction software,
  • Word-finding/suggestion software for ordinary users and people with memory problems,
  • Machine Translation 
  • Sentiment and Opinion detection
  • Automatic reasoning and inferencing
  • Collaboration with professors in the social sciences and humanities ("Digital Humanities")

Adam Finkelstein, Room 424 

  • Research Areas: computer graphics, audio.

Robert S. Fish, Corwin Hall, Room 037

  • Networking and telecommunications
  • Learning, perception, and intelligence, artificial and otherwise;
  • Human-computer interaction and computer-supported cooperative work
  • Online education, especially in Computer Science Education
  • Topics in research and development innovation methodologies including standards, open-source, and entrepreneurship
  • Distributed autonomous organizations and related blockchain technologies

Michael Freedman, Room 308 

  • Research Areas: Distributed systems, security, networking
  • Projects related to streaming data analysis, datacenter systems and networks, untrusted cloud storage and applications. Please see my group website at http://sns.cs.princeton.edu/ for current research projects.

Ruth Fong, Room 032

  • Research Areas: computer vision, machine learning, deep learning, interpretability, explainable AI, fairness and bias in AI
  • Develop a technique for understanding AI models
  • Design a AI model that is interpretable by design
  • Build a paradigm for detecting and/or correcting failure points in an AI model
  • Analyze an existing AI model and/or dataset to better understand its failure points
  • Build a computer vision system for another domain (e.g., medical imaging, satellite data, etc.)
  • Develop a software package for explainable AI
  • Adapt explainable AI research to a consumer-facing problem

Note: I am happy to advise any project if there's a sufficient overlap in interest and/or expertise; please reach out via email to chat about project ideas.

Tom Griffiths, Room 405

Research areas: computational cognitive science, computational social science, machine learning and artificial intelligence

Note: I am open to projects that apply ideas from computer science to understanding aspects of human cognition in a wide range of areas, from decision-making to cultural evolution and everything in between. For example, we have current projects analyzing chess game data and magic tricks, both of which give us clues about how human minds work. Students who have expertise or access to data related to games, magic, strategic sports like fencing, or other quantifiable domains of human behavior feel free to get in touch.

Aarti Gupta, Room 220

  • Research Areas: Formal methods, program analysis, logic decision procedures
  • Finding bugs in open source software using automatic verification tools
  • Software verification (program analysis, model checking, test generation)
  • Decision procedures for logical reasoning (SAT solvers, SMT solvers)

Elad Hazan, Room 409  

  • Research interests: machine learning methods and algorithms, efficient methods for mathematical optimization, regret minimization in games, reinforcement learning, control theory and practice
  • Machine learning, efficient methods for mathematical optimization, statistical and computational learning theory, regret minimization in games.
  • Implementation and algorithm engineering for control, reinforcement learning and robotics
  • Implementation and algorithm engineering for time series prediction

Felix Heide, Room 410

  • Research Areas: Computational Imaging, Computer Vision, Machine Learning (focus on Optimization and Approximate Inference).
  • Optical Neural Networks
  • Hardware-in-the-loop Holography
  • Zero-shot and Simulation-only Learning
  • Object recognition in extreme conditions
  • 3D Scene Representations for View Generation and Inverse Problems
  • Long-range Imaging in Scattering Media
  • Hardware-in-the-loop Illumination and Sensor Optimization
  • Inverse Lidar Design
  • Phase Retrieval Algorithms
  • Proximal Algorithms for Learning and Inference
  • Domain-Specific Language for Optics Design

Peter Henderson , 302 Sherrerd Hall

  • Research Areas: Machine learning, law, and policy

Kyle Jamieson, Room 306

  • Research areas: Wireless and mobile networking; indoor radar and indoor localization; Internet of Things
  • See other topics on my independent work  ideas page  (campus IP and CS dept. login req'd)

Alan Kaplan, 221 Nassau Street, Room 105

Research Areas:

  • Random apps of kindness - mobile application/technology frameworks used to help individuals or communities; topic areas include, but are not limited to: first response, accessibility, environment, sustainability, social activism, civic computing, tele-health, remote learning, crowdsourcing, etc.
  • Tools automating programming language interoperability - Java/C++, React Native/Java, etc.
  • Software visualization tools for education
  • Connected consumer devices, applications and protocols

Brian Kernighan, Room 311

  • Research Areas: application-specific languages, document preparation, user interfaces, software tools, programming methodology
  • Application-oriented languages, scripting languages.
  • Tools; user interfaces
  • Digital humanities

Zachary Kincaid, Room 219

Available for Fall 2024 single-semester IW advising, only

  • Research areas: programming languages, program analysis, program verification, automated reasoning
  • Independent Research Topics:
  • Develop a practical algorithm for an intractable problem (e.g., by developing practical search heuristics, or by reducing to, or by identifying a tractable sub-problem, ...).
  • Design a domain-specific programming language, or prototype a new feature for an existing language.
  • Any interesting project related to programming languages or logic.

Gillat Kol, Room 316

  • Research area: theory

Aleksandra Korolova, 309 Sherrerd Hall

  • Research areas: Societal impacts of algorithms and AI; privacy; fair and privacy-preserving machine learning; algorithm auditing.

Advisees typically have taken one or more of COS 226, COS 324, COS 423, COS 424 or COS 445.

Pravesh Kothari, Room 320

  • Research areas: Theory

Amit Levy, Room 307

  • Research Areas: Operating Systems, Distributed Systems, Embedded Systems, Internet of Things
  • Distributed hardware testing infrastructure
  • Second factor security tokens
  • Low-power wireless network protocol implementation
  • USB device driver implementation

Kai Li, Room 321

  • Research Areas: Distributed systems; storage systems; content-based search and data analysis of large datasets.
  • Fast communication mechanisms for heterogeneous clusters.
  • Approximate nearest-neighbor search for high dimensional data.
  • Data analysis and prediction of in-patient medical data.
  • Optimized implementation of classification algorithms on manycore processors.

Xiaoyan Li, 221 Nassau Street, Room 104

  • Research areas: Information retrieval, novelty detection, question answering, AI, machine learning and data analysis.
  • Explore new statistical retrieval models for document retrieval and question answering.
  • Apply AI in various fields.
  • Apply supervised or unsupervised learning in health, education, finance, and social networks, etc.
  • Any interesting project related to AI, machine learning, and data analysis.

Lydia Liu, Room 414

  • Research Areas: algorithmic decision making, machine learning and society
  • Theoretical foundations for algorithmic decision making (e.g. mathematical modeling of data-driven decision processes, societal level dynamics)
  • Societal impacts of algorithms and AI through a socio-technical lens (e.g. normative implications of worst case ML metrics, prediction and model arbitrariness)
  • Machine learning for social impact domains, especially education (e.g. responsible development and use of LLMs for education equity and access)
  • Evaluation of human-AI decision making using statistical methods (e.g. causal inference of long term impact)

Wyatt Lloyd, Room 323

  • Research areas: Distributed Systems
  • Caching algorithms and implementations
  • Storage systems
  • Distributed transaction algorithms and implementations

Alex Lombardi , Room 312

  • Research Areas: Theory

Margaret Martonosi, Room 208

  • Quantum Computing research, particularly related to architecture and compiler issues for QC.
  • Computer architectures specialized for modern workloads (e.g., graph analytics, machine learning algorithms, mobile applications
  • Investigating security and privacy vulnerabilities in computer systems, particularly IoT devices.
  • Other topics in computer architecture or mobile / IoT systems also possible.

Jonathan Mayer, Sherrerd Hall, Room 307 

Available for Spring 2025 single-semester IW, only

  • Research areas: Technology law and policy, with emphasis on national security, criminal procedure, consumer privacy, network management, and online speech.
  • Assessing the effects of government policies, both in the public and private sectors.
  • Collecting new data that relates to government decision making, including surveying current business practices and studying user behavior.
  • Developing new tools to improve government processes and offer policy alternatives.

Mae Milano, Room 307

  • Local-first / peer-to-peer systems
  • Wide-ares storage systems
  • Consistency and protocol design
  • Type-safe concurrency
  • Language design
  • Gradual typing
  • Domain-specific languages
  • Languages for distributed systems

Andrés Monroy-Hernández, Room 405

  • Research Areas: Human-Computer Interaction, Social Computing, Public-Interest Technology, Augmented Reality, Urban Computing
  • Research interests:developing public-interest socio-technical systems.  We are currently creating alternatives to gig work platforms that are more equitable for all stakeholders. For instance, we are investigating the socio-technical affordances necessary to support a co-op food delivery network owned and managed by workers and restaurants. We are exploring novel system designs that support self-governance, decentralized/federated models, community-centered data ownership, and portable reputation systems.  We have opportunities for students interested in human-centered computing, UI/UX design, full-stack software development, and qualitative/quantitative user research.
  • Beyond our core projects, we are open to working on research projects that explore the use of emerging technologies, such as AR, wearables, NFTs, and DAOs, for creative and out-of-the-box applications.

Christopher Moretti, Corwin Hall, Room 036

  • Research areas: Distributed systems, high-throughput computing, computer science/engineering education
  • Expansion, improvement, and evaluation of open-source distributed computing software.
  • Applications of distributed computing for "big science" (e.g. biometrics, data mining, bioinformatics)
  • Software and best practices for computer science education and study, especially Princeton's 126/217/226 sequence or MOOCs development
  • Sports analytics and/or crowd-sourced computing

Radhika Nagpal, F316 Engineering Quadrangle

  • Research areas: control, robotics and dynamical systems

Karthik Narasimhan, Room 422

  • Research areas: Natural Language Processing, Reinforcement Learning
  • Autonomous agents for text-based games ( https://www.microsoft.com/en-us/research/project/textworld/ )
  • Transfer learning/generalization in NLP
  • Techniques for generating natural language
  • Model-based reinforcement learning

Arvind Narayanan, 308 Sherrerd Hall 

Research Areas: fair machine learning (and AI ethics more broadly), the social impact of algorithmic systems, tech policy

Pedro Paredes, Corwin Hall, Room 041

My primary research work is in Theoretical Computer Science.

 * Research Interest: Spectral Graph theory, Pseudorandomness, Complexity theory, Coding Theory, Quantum Information Theory, Combinatorics.

The IW projects I am interested in advising can be divided into three categories:

 1. Theoretical research

I am open to advise work on research projects in any topic in one of my research areas of interest. A project could also be based on writing a survey given results from a few papers. Students should have a solid background in math (e.g., elementary combinatorics, graph theory, discrete probability, basic algebra/calculus) and theoretical computer science (226 and 240 material, like big-O/Omega/Theta, basic complexity theory, basic fundamental algorithms). Mathematical maturity is a must.

A (non exhaustive) list of topics of projects I'm interested in:   * Explicit constructions of better vertex expanders and/or unique neighbor expanders.   * Construction deterministic or random high dimensional expanders.   * Pseudorandom generators for different problems.   * Topics around the quantum PCP conjecture.   * Topics around quantum error correcting codes and locally testable codes, including constructions, encoding and decoding algorithms.

 2. Theory informed practical implementations of algorithms   Very often the great advances in theoretical research are either not tested in practice or not even feasible to be implemented in practice. Thus, I am interested in any project that consists in trying to make theoretical ideas applicable in practice. This includes coming up with new algorithms that trade some theoretical guarantees for feasible implementation yet trying to retain the soul of the original idea; implementing new algorithms in a suitable programming language; and empirically testing practical implementations and comparing them with benchmarks / theoretical expectations. A project in this area doesn't have to be in my main areas of research, any theoretical result could be suitable for such a project.

Some examples of areas of interest:   * Streaming algorithms.   * Numeric linear algebra.   * Property testing.   * Parallel / Distributed algorithms.   * Online algorithms.    3. Machine learning with a theoretical foundation

I am interested in projects in machine learning that have some mathematical/theoretical, even if most of the project is applied. This includes topics like mathematical optimization, statistical learning, fairness and privacy.

One particular area I have been recently interested in is in the area of rating systems (e.g., Chess elo) and applications of this to experts problems.

Final Note: I am also willing to advise any project with any mathematical/theoretical component, even if it's not the main one; please reach out via email to chat about project ideas.

Iasonas Petras, Corwin Hall, Room 033

  • Research Areas: Information Based Complexity, Numerical Analysis, Quantum Computation.
  • Prerequisites: Reasonable mathematical maturity. In case of a project related to Quantum Computation a certain familiarity with quantum mechanics is required (related courses: ELE 396/PHY 208).
  • Possible research topics include:

1.   Quantum algorithms and circuits:

  • i. Design or simulation quantum circuits implementing quantum algorithms.
  • ii. Design of quantum algorithms solving/approximating continuous problems (such as Eigenvalue problems for Partial Differential Equations).

2.   Information Based Complexity:

  • i. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems in various settings (for example worst case or average case). 
  • ii. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems under new tractability and error criteria.
  • iii. Necessary and sufficient conditions for tractability of Weighted problems.
  • iv. Necessary and sufficient conditions for tractability of Weighted Problems under new tractability and error criteria.

3. Topics in Scientific Computation:

  • i. Randomness, Pseudorandomness, MC and QMC methods and their applications (Finance, etc)

Yuri Pritykin, 245 Carl Icahn Lab

  • Research interests: Computational biology; Cancer immunology; Regulation of gene expression; Functional genomics; Single-cell technologies.
  • Potential research projects: Development, implementation, assessment and/or application of algorithms for analysis, integration, interpretation and visualization of multi-dimensional data in molecular biology, particularly single-cell and spatial genomics data.

Benjamin Raphael, Room 309  

  • Research interests: Computational biology and bioinformatics; Cancer genomics; Algorithms and machine learning approaches for analysis of large-scale datasets
  • Implementation and application of algorithms to infer evolutionary processes in cancer
  • Identifying correlations between combinations of genomic mutations in human and cancer genomes
  • Design and implementation of algorithms for genome sequencing from new DNA sequencing technologies
  • Graph clustering and network anomaly detection, particularly using diffusion processes and methods from spectral graph theory

Vikram Ramaswamy, 035 Corwin Hall

  • Research areas: Interpretability of AI systems, Fairness in AI systems, Computer vision.
  • Constructing a new method to explain a model / create an interpretable by design model
  • Analyzing a current model / dataset to understand bias within the model/dataset
  • Proposing new fairness evaluations
  • Proposing new methods to train to improve fairness
  • Developing synthetic datasets for fairness / interpretability benchmarks
  • Understanding robustness of models

Ran Raz, Room 240

  • Research Area: Computational Complexity
  • Independent Research Topics: Computational Complexity, Information Theory, Quantum Computation, Theoretical Computer Science

Szymon Rusinkiewicz, Room 406

  • Research Areas: computer graphics; computer vision; 3D scanning; 3D printing; robotics; documentation and visualization of cultural heritage artifacts
  • Research ways of incorporating rotation invariance into computer visiontasks such as feature matching and classification
  • Investigate approaches to robust 3D scan matching
  • Model and compensate for imperfections in 3D printing
  • Given a collection of small mobile robots, apply control policies learned in simulation to the real robots.

Olga Russakovsky, Room 408

  • Research Areas: computer vision, machine learning, deep learning, crowdsourcing, fairness&bias in AI
  • Design a semantic segmentation deep learning model that can operate in a zero-shot setting (i.e., recognize and segment objects not seen during training)
  • Develop a deep learning classifier that is impervious to protected attributes (such as gender or race) that may be erroneously correlated with target classes
  • Build a computer vision system for the novel task of inferring what object (or part of an object) a human is referring to when pointing to a single pixel in the image. This includes both collecting an appropriate dataset using crowdsourcing on Amazon Mechanical Turk, creating a new deep learning formulation for this task, and running extensive analysis of both the data and the model

Sebastian Seung, Princeton Neuroscience Institute, Room 153

  • Research Areas: computational neuroscience, connectomics, "deep learning" neural networks, social computing, crowdsourcing, citizen science
  • Gamification of neuroscience (EyeWire  2.0)
  • Semantic segmentation and object detection in brain images from microscopy
  • Computational analysis of brain structure and function
  • Neural network theories of brain function

Jaswinder Pal Singh, Room 324

  • Research Areas: Boundary of technology and business/applications; building and scaling technology companies with special focus at that boundary; parallel computing systems and applications: parallel and distributed applications and their implications for software and architectural design; system software and programming environments for multiprocessors.
  • Develop a startup company idea, and build a plan/prototype for it.
  • Explore tradeoffs at the boundary of technology/product and business/applications in a chosen area.
  • Study and develop methods to infer insights from data in different application areas, from science to search to finance to others. 
  • Design and implement a parallel application. Possible areas include graphics, compression, biology, among many others. Analyze performance bottlenecks using existing tools, and compare programming models/languages.
  • Design and implement a scalable distributed algorithm.

Mona Singh, Room 420

  • Research Areas: computational molecular biology, as well as its interface with machine learning and algorithms.
  • Whole and cross-genome methods for predicting protein function and protein-protein interactions.
  • Analysis and prediction of biological networks.
  • Computational methods for inferring specific aspects of protein structure from protein sequence data.
  • Any other interesting project in computational molecular biology.

Robert Tarjan, 194 Nassau St., Room 308

  • Research Areas: Data structures; graph algorithms; combinatorial optimization; computational complexity; computational geometry; parallel algorithms.
  • Implement one or more data structures or combinatorial algorithms to provide insight into their empirical behavior.
  • Design and/or analyze various data structures and combinatorial algorithms.

Olga Troyanskaya, Room 320

  • Research Areas: Bioinformatics; analysis of large-scale biological data sets (genomics, gene expression, proteomics, biological networks); algorithms for integration of data from multiple data sources; visualization of biological data; machine learning methods in bioinformatics.
  • Implement and evaluate one or more gene expression analysis algorithm.
  • Develop algorithms for assessment of performance of genomic analysis methods.
  • Develop, implement, and evaluate visualization tools for heterogeneous biological data.

David Walker, Room 211

  • Research Areas: Programming languages, type systems, compilers, domain-specific languages, software-defined networking and security
  • Independent Research Topics:  Any other interesting project that involves humanitarian hacking, functional programming, domain-specific programming languages, type systems, compilers, software-defined networking, fault tolerance, language-based security, theorem proving, logic or logical frameworks.

Shengyi Wang, Postdoctoral Research Associate, Room 216

Available for Fall 2024 single-semester IW, only

  • Independent Research topics: Explore Escher-style tilings using (introductory) group theory and automata theory to produce beautiful pictures.

Kevin Wayne, Corwin Hall, Room 040

  • Research Areas: design, analysis, and implementation of algorithms; data structures; combinatorial optimization; graphs and networks.
  • Design and implement computer visualizations of algorithms or data structures.
  • Develop pedagogical tools or programming assignments for the computer science curriculum at Princeton and beyond.
  • Develop assessment infrastructure and assessments for MOOCs.

Matt Weinberg, 194 Nassau St., Room 222

  • Research Areas: algorithms, algorithmic game theory, mechanism design, game theoretical problems in {Bitcoin, networking, healthcare}.
  • Theoretical questions related to COS 445 topics such as matching theory, voting theory, auction design, etc. 
  • Theoretical questions related to incentives in applications like Bitcoin, the Internet, health care, etc. In a little bit more detail: protocols for these systems are often designed assuming that users will follow them. But often, users will actually be strictly happier to deviate from the intended protocol. How should we reason about user behavior in these protocols? How should we design protocols in these settings?

Huacheng Yu, Room 310

  • data structures
  • streaming algorithms
  • design and analyze data structures / streaming algorithms
  • prove impossibility results (lower bounds)
  • implement and evaluate data structures / streaming algorithms

Ellen Zhong, Room 314

Opportunities outside the department.

We encourage students to look in to doing interdisciplinary computer science research and to work with professors in departments other than computer science.  However, every CS independent work project must have a strong computer science element (even if it has other scientific or artistic elements as well.)  To do a project with an adviser outside of computer science you must have permission of the department.  This can be accomplished by having a second co-adviser within the computer science department or by contacting the independent work supervisor about the project and having he or she sign the independent work proposal form.

Here is a list of professors outside the computer science department who are eager to work with computer science undergraduates.

Maria Apostolaki, Engineering Quadrangle, C330

  • Research areas: Computing & Networking, Data & Information Science, Security & Privacy

Branko Glisic, Engineering Quadrangle, Room E330

  • Documentation of historic structures
  • Cyber physical systems for structural health monitoring
  • Developing virtual and augmented reality applications for documenting structures
  • Applying machine learning techniques to generate 3D models from 2D plans of buildings
  •  Contact : Rebecca Napolitano, rkn2 (@princeton.edu)

Mihir Kshirsagar, Sherrerd Hall, Room 315

Center for Information Technology Policy.

  • Consumer protection
  • Content regulation
  • Competition law
  • Economic development
  • Surveillance and discrimination

Sharad Malik, Engineering Quadrangle, Room B224

Select a Senior Thesis Adviser for the 2020-21 Academic Year.

  • Design of reliable hardware systems
  • Verifying complex software and hardware systems

Prateek Mittal, Engineering Quadrangle, Room B236

  • Internet security and privacy 
  • Social Networks
  • Privacy technologies, anonymous communication
  • Network Science
  • Internet security and privacy: The insecurity of Internet protocols and services threatens the safety of our critical network infrastructure and billions of end users. How can we defend end users as well as our critical network infrastructure from attacks?
  • Trustworthy social systems: Online social networks (OSNs) such as Facebook, Google+, and Twitter have revolutionized the way our society communicates. How can we leverage social connections between users to design the next generation of communication systems?
  • Privacy Technologies: Privacy on the Internet is eroding rapidly, with businesses and governments mining sensitive user information. How can we protect the privacy of our online communications? The Tor project (https://www.torproject.org/) is a potential application of interest.

Ken Norman,  Psychology Dept, PNI 137

  • Research Areas: Memory, the brain and computation 
  • Lab:  Princeton Computational Memory Lab

Potential research topics

  • Methods for decoding cognitive state information from neuroimaging data (fMRI and EEG) 
  • Neural network simulations of learning and memory

Caroline Savage

Office of Sustainability, Phone:(609)258-7513, Email: cs35 (@princeton.edu)

The  Campus as Lab  program supports students using the Princeton campus as a living laboratory to solve sustainability challenges. The Office of Sustainability has created a list of campus as lab research questions, filterable by discipline and topic, on its  website .

An example from Computer Science could include using  TigerEnergy , a platform which provides real-time data on campus energy generation and consumption, to study one of the many energy systems or buildings on campus. Three CS students used TigerEnergy to create a  live energy heatmap of campus .

Other potential projects include:

  • Apply game theory to sustainability challenges
  • Develop a tool to help visualize interactions between complex campus systems, e.g. energy and water use, transportation and storm water runoff, purchasing and waste, etc.
  • How can we learn (in aggregate) about individuals’ waste, energy, transportation, and other behaviors without impinging on privacy?

Janet Vertesi, Sociology Dept, Wallace Hall, Room 122

  • Research areas: Sociology of technology; Human-computer interaction; Ubiquitous computing.
  • Possible projects: At the intersection of computer science and social science, my students have built mixed reality games, produced artistic and interactive installations, and studied mixed human-robot teams, among other projects.

David Wentzlaff, Engineering Quadrangle, Room 228

Computing, Operating Systems, Sustainable Computing.

  • Instrument Princeton's Green (HPCRC) data center
  • Investigate power utilization on an processor core implemented in an FPGA
  • Dismantle and document all of the components in modern electronics. Invent new ways to build computers that can be recycled easier.
  • Other topics in parallel computer architecture or operating systems

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Digital Commons @ USF > College of Engineering > Computer Science and Engineering > Theses and Dissertations

Computer Science and Engineering Theses and Dissertations

Theses/dissertations from 2024 2024.

Automatic Image-Based Nutritional Calculator App , Kejvi Cupa

Individual Behavioral Modeling Across Games of Strategy , Logan Fields

Semi-automated Cell Annotation Framework Using Deep Learning , Abhiram Kandiyana

Predicting Gender of Author Using Large Language Models (LLMs) , Satya Uday Sanku

Context-aware Affective Behavior Modeling and Analytics , Md Taufeeq Uddin

Exploring the Use of Enhanced SWAD Towards Building Learned Models that Generalize Better to Unseen Sources , Brandon M. Weinhofer

Theses/Dissertations from 2023 2023

Refining the Machine Learning Pipeline for US-based Public Transit Systems , Jennifer Adorno

Insect Classification and Explainability from Image Data via Deep Learning Techniques , Tanvir Hossain Bhuiyan

V2V and V2I Based Safety and Platooning Algorithms for Connected and Autonomous Vehicles , Omkar Dokur

Brain-Inspired Spatio-Temporal Learning with Application to Robotics , Thiago André Ferreira Medeiros

Exploring Scalability of Multimodal User Interface Design in Virtual and Augmented Reality , Sarah M. Garcia

Evaluating Methods for Improving DNN Robustness Against Adversarial Attacks , Laureano Griffin

Analyzing Multi-Robot Leader-Follower Formations in Obstacle-Laden Environments , Zachary J. Hinnen

Secure Lightweight Cryptographic Hardware Constructions for Deeply Embedded Systems , Jasmin Kaur

A Psychometric Analysis of Natural Language Inference Using Transformer Language Models , Antonio Laverghetta Jr.

Graph Analysis on Social Networks , Shen Lu

Deep Learning-based Automatic Stereology for High- and Low-magnification Images , Hunter Morera

Deciphering Trends and Tactics: Data-driven Techniques for Forecasting Information Spread and Detecting Coordinated Campaigns in Social Media , Kin Wai Ng Lugo

Secure Reconfigurable Computing Paradigms for the Next Generation of Artificial Intelligence and Machine Learning Applications , Brooks Olney

Automated Approaches to Enable Innovative Civic Applications from Citizen Generated Imagery , Hye Seon Yi

Theses/Dissertations from 2022 2022

Towards High Performing and Reliable Deep Convolutional Neural Network Models for Typically Limited Medical Imaging Datasets , Kaoutar Ben Ahmed

Task Progress Assessment and Monitoring Using Self-Supervised Learning , Sainath Reddy Bobbala

Towards More Task-Generalized and Explainable AI Through Psychometrics , Alec Braynen

An Internet of Medical Things (IoMT) Approach for Remote Assessment of Head and Neck Cancer Patients , Ruchitha Chinthala

A Multiple Input Multiple Output Framework for the Automatic Optical Fractionator-based Cell Counting in Z-Stacks Using Deep Learning , Palak Dave

On the Reliability of Wearable Sensors for Assessing Movement Disorder-Related Gait Quality and Imbalance: A Case Study of Multiple Sclerosis , Steven Díaz Hernández

Securing Critical Cyber Infrastructures and Functionalities via Machine Learning Empowered Strategies , Tao Hou

Developing Reinforcement Learning Algorithms for Robots to Aim and Pour Solid Objects , Haoxuan Li

Computing Group-By and Aggregate in Massively Parallel Systems , Chengcheng Mou

Social Media Time Series Forecasting and User-Level Activity Prediction with Gradient Boosting, Deep Learning, and Data Augmentation , Fred Mubang

A Study of Deep Learning Silhouette Extractors for Gait Recognition , Sneha Oladhri

Analyzing Decision-making in Robot Soccer for Attacking Behaviors , Justin Rodney

Generative Spatio-Temporal and Multimodal Analysis of Neonatal Pain , Md Sirajus Salekin

Secure Hardware Constructions for Fault Detection of Lattice-based Post-quantum Cryptosystems , Ausmita Sarker

Adaptive Multi-scale Place Cell Representations and Replay for Spatial Navigation and Learning in Autonomous Robots , Pablo Scleidorovich

Predicting the Number of Objects in a Robotic Grasp , Utkarsh Tamrakar

Humanoid Robot Motion Control for Ramps and Stairs , Tommy Truong

Preventing Variadic Function Attacks Through Argument Width Counting , Brennan Ward

Exploration of Energy Efficient Computing for Data-Intensive Applications , Md Adnan Zaman

Theses/Dissertations from 2021 2021

Knowledge Extraction and Inference Based on Visual Understanding of Cooking Contents , Ahmad Babaeian Babaeian Jelodar

Efficient Post-Quantum and Compact Cryptographic Constructions for the Internet of Things , Rouzbeh Behnia

Efficient Hardware Constructions for Error Detection of Post-Quantum Cryptographic Schemes , Alvaro Cintas Canto

Using Hyper-Dimensional Spanning Trees to Improve Structure Preservation During Dimensionality Reduction , Curtis Thomas Davis

Design, Deployment, and Validation of Computer Vision Techniques for Societal Scale Applications , Arup Kanti Dey

AffectiveTDA: Using Topological Data Analysis to Improve Analysis and Explainability in Affective Computing , Hamza Elhamdadi

Automatic Detection of Vehicles in Satellite Images for Economic Monitoring , Cole Hill

Analysis of Contextual Emotions Using Multimodal Data , Saurabh Hinduja

Data-driven Studies on Social Networks: Privacy and Simulation , Yasanka Sameera Horawalavithana

Automated Identification of Stages in Gonotrophic Cycle of Mosquitoes Using Computer Vision Techniques , Sherzod Kariev

Exploring the Use of Neural Transformers for Psycholinguistics , Antonio Laverghetta Jr.

Secure VLSI Hardware Design Against Intellectual Property (IP) Theft and Cryptographic Vulnerabilities , Matthew Dean Lewandowski

Turkic Interlingua: A Case Study of Machine Translation in Low-resource Languages , Jamshidbek Mirzakhalov

Automated Wound Segmentation and Dimension Measurement Using RGB-D Image , Chih-Yun Pai

Constructing Frameworks for Task-Optimized Visualizations , Ghulam Jilani Abdul Rahim Quadri

Trilateration-Based Localization in Known Environments with Object Detection , Valeria M. Salas Pacheco

Recognizing Patterns from Vital Signs Using Spectrograms , Sidharth Srivatsav Sribhashyam

Recognizing Emotion in the Wild Using Multimodal Data , Shivam Srivastava

A Modular Framework for Multi-Rotor Unmanned Aerial Vehicles for Military Operations , Dante Tezza

Human-centered Cybersecurity Research — Anthropological Findings from Two Longitudinal Studies , Anwesh Tuladhar

Learning State-Dependent Sensor Measurement Models To Improve Robot Localization Accuracy , Troi André Williams

Human-centric Cybersecurity Research: From Trapping the Bad Guys to Helping the Good Ones , Armin Ziaie Tabari

Theses/Dissertations from 2020 2020

Classifying Emotions with EEG and Peripheral Physiological Data Using 1D Convolutional Long Short-Term Memory Neural Network , Rupal Agarwal

Keyless Anti-Jamming Communication via Randomized DSSS , Ahmad Alagil

Active Deep Learning Method to Automate Unbiased Stereology Cell Counting , Saeed Alahmari

Composition of Atomic-Obligation Security Policies , Yan Cao Albright

Action Recognition Using the Motion Taxonomy , Maxat Alibayev

Sentiment Analysis in Peer Review , Zachariah J. Beasley

Spatial Heterogeneity Utilization in CT Images for Lung Nodule Classication , Dmitrii Cherezov

Feature Selection Via Random Subsets Of Uncorrelated Features , Long Kim Dang

Unifying Security Policy Enforcement: Theory and Practice , Shamaria Engram

PsiDB: A Framework for Batched Query Processing and Optimization , Mehrad Eslami

Composition of Atomic-Obligation Security Policies , Danielle Ferguson

Algorithms To Profile Driver Behavior From Zero-permission Embedded Sensors , Bharti Goel

The Efficiency and Accuracy of YOLO for Neonate Face Detection in the Clinical Setting , Jacqueline Hausmann

Beyond the Hype: Challenges of Neural Networks as Applied to Social Networks , Anthony Hernandez

Privacy-Preserving and Functional Information Systems , Thang Hoang

Managing Off-Grid Power Use for Solar Fueled Residences with Smart Appliances, Prices-to-Devices and IoT , Donnelle L. January

Novel Bit-Sliced In-Memory Computing Based VLSI Architecture for Fast Sobel Edge Detection in IoT Edge Devices , Rajeev Joshi

Edge Computing for Deep Learning-Based Distributed Real-time Object Detection on IoT Constrained Platforms at Low Frame Rate , Lakshmikavya Kalyanam

Establishing Topological Data Analysis: A Comparison of Visualization Techniques , Tanmay J. Kotha

Machine Learning for the Internet of Things: Applications, Implementation, and Security , Vishalini Laguduva Ramnath

System Support of Concurrent Database Query Processing on a GPU , Hao Li

Deep Learning Predictive Modeling with Data Challenges (Small, Big, or Imbalanced) , Renhao Liu

Countermeasures Against Various Network Attacks Using Machine Learning Methods , Yi Li

Towards Safe Power Oversubscription and Energy Efficiency of Data Centers , Sulav Malla

Design of Support Measures for Counting Frequent Patterns in Graphs , Jinghan Meng

Automating the Classification of Mosquito Specimens Using Image Processing Techniques , Mona Minakshi

Models of Secure Software Enforcement and Development , Hernan M. Palombo

Functional Object-Oriented Network: A Knowledge Representation for Service Robotics , David Andrés Paulius Ramos

Lung Nodule Malignancy Prediction from Computed Tomography Images Using Deep Learning , Rahul Paul

Algorithms and Framework for Computing 2-body Statistics on Graphics Processing Units , Napath Pitaksirianan

Efficient Viewshed Computation Algorithms On GPUs and CPUs , Faisal F. Qarah

Relational Joins on GPUs for In-Memory Database Query Processing , Ran Rui

Micro-architectural Countermeasures for Control Flow and Misspeculation Based Software Attacks , Love Kumar Sah

Efficient Forward-Secure and Compact Signatures for the Internet of Things (IoT) , Efe Ulas Akay Seyitoglu

Detecting Symptoms of Chronic Obstructive Pulmonary Disease and Congestive Heart Failure via Cough and Wheezing Sounds Using Smart-Phones and Machine Learning , Anthony Windmon

Toward Culturally Relevant Emotion Detection Using Physiological Signals , Khadija Zanna

Theses/Dissertations from 2019 2019

Beyond Labels and Captions: Contextualizing Grounded Semantics for Explainable Visual Interpretation , Sathyanarayanan Narasimhan Aakur

Empirical Analysis of a Cybersecurity Scoring System , Jaleel Ahmed

Phenomena of Social Dynamics in Online Games , Essa Alhazmi

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Home > Charles W. Davidson College of Engineering > Computer Engineering > Master's Theses

Master’s Theses and Graduate Research

Theses/dissertations from 2024 2024.

Synthetic Data and Deep Learning for Process Monitoring in Manufacturing , Sahib S. Bhatia

An Exploration of Dimensionality Reduction of Dynamics on Lie Groups via Structure-Aware Canonical Correlation Analysis , Wooyoung Chung

An Exploration of Learning Hybrid Dynamical Models from Observations , Ezgi Kaya

Reinforcement Learning Based Planning and Control for Robotic Source Seeking Inspired by Fruit Flies , Gauravkumar Koradiya

Synthetic Data Generation for Accurate, Fair, and Private Recommender Systems , Derek B. Lilienthal

An Exploration of Information Processing In Diffusion Models , Paul Mello

Decentralized Traffic Congestion Control Using Intrinsically Motivated AI Agents , Himaja Papala

Controllable Physics-Informed Latent Space for Acoustic Wave Manipulation , Tristan Shah

Domain Specific Aspect Extraction For Product Design , Divyam Sobti

Theses/Dissertations from 2023 2023

Common Pattern Generation for the Detection of LOLBin Attacks , Alaa AbuShqeir

Group-Invariant Reinforcement Learning , Fnu Ankur

Automatic Presentation Slide Generation Using LLMs , Tanya Gupta

Deep Learning in AI Medical Imaging for Stroke Diagnosis , James Mario Guzman

Exploring the Design Space of Simulated Robotic Arms with Tactile Stimuli for Object Manipulation Using Reinforcement Learning Methods , Alavi Ahmed Khan

Detecting the Onion Routing Traffic in Real-Time by using Reinforcement Learning , Dazhou Liu

Intrinsic Motivation by the Principles of Non-Linear Dynamical Systems , Phu C. Nguyen

Accident Prediction on E-Bikes Using Computer Vision , Rohith Puvvala Subramanyam

Blockchain for Online Video Game Integrity , Philip Salire

Controllability-Constrained Deep Neural Network Models for Enhanced Control of Dynamical Systems , Suruchi Sharma

Theses/Dissertations from 2022 2022

Autonomous Network Defence Using Multi-Agent Reinforcement Learning and Self-Play , Roberto G. Campbell

Unmasking Medical Fake News Using Machine Learning Techniques , Garima Chaphekar

Coordination Protocols for Verifiable Consistency in Distributed Storage Systems , Ashwin Ramaswamy

Autonomous Vehicle Testing Using A Model-Based Approach , Muslim Razi

SparTrans: Transformer Based Protein Discovery , Ryan Y. Shu

Achieving Location Privacy in iOS Platform Using Location Privacy Framework , Anna Systaliuk

SMARTREC - A Smart Conversational Recommendation System Using Semantic Knowledge Graphs , Sudha Vijayakumar

A RISC-V Matrix Multiplier Using Systolic Arrays , Miao Wang

Theses/Dissertations from 2021 2021

Advancements in the Field of Reinforcement Learning , Apoorva Sunil Banubakode

Exploring the Applicability of ML in IOT Applications , Bhakti Subhash Chowkwale

A Deep Learning Method For Comparing Hi-C Data , Sughosh Krishnamurthy

Looking into the Future: Predicting Future Video Frames Using Monocular Depth Estimation and Egomotion , Meera Kumar

Towards Standardizing System Design and Automating Deployment , Prerana Shekhar

Faster Depth Estimation for Situational Awareness on Urban Streets , Sanjana Srinivas

Theses/Dissertations from 2020 2020

Adaptive Learning Technique For Facial Recognition , Rachana Dineshkumar Bumb

A Code Reputation System Using AI and Blockchain Technology , Jeremy Chau

Auto-Landing System for Fixed-Wing Unmanned Aerial Vehicle , Dan Dermer

Influence of Social Circles on User Recommendations , Chaitanya Krishna Kasaraneni

Enhancing Point Cloud Density with Stereo Images , Seung Won Lee

Multimodal Wildfire Surveillance with Autonomous Drones , Tomasz Wojciech Lewicki

An Evaluation Of Generated Lyrics , Junlan Lu

A Study on the Contributions of Domain-Specific Semantics Towards Aspect-Based Sentiment Analysis , Aashay Mokadam

LSTM-enabled Level Curve Tracking in Scalar Fields Using Multiple Mobile Robots , Kunj J. Parikh

Deep Reinforcement Learning based Path-Planning for Multi-Agent Systems in Advection-Diffusion Field Reconstruction Tasks , Deepak Talwar

Theses/Dissertations from 2019 2019

Using Blockchain Technology for The Organ Procurement and Transplant Network , Utsav Jain

Reduction-free Multiplication in GF(2n) Applicable to Modern and Post-quantum Cryptographic Schemes , Samira Carolina Oliva Madrigal

Smart Scheduler Design for Wafer Processing Systems , Deeksha Prakash Kankalale

Faster Multidimensional Data Queries on Infrastructure Monitoring Systems , Yinghua Qin

Combining Blockchain and Swarm Robotics to Deploy Surveillance Missions , Ardalan Razavi

Non-invasive Hyperglycemia Detection using ECG and Deep Learning , Renato Silveira Cordeiro

Effect of Neighborhood Approximation on Downstream Analytics , Saranya Soundar Rajan

Theses/Dissertations from 2018 2018

Big Data Quality Modeling And Validation , Khushali Yashodhar Desai

Social Recommendation Systems , Avni Gulati

Vehicle Tracking Based on Historical Intersection Over Union , Shuai Hua

Machine Learning Methods for Kidney Disease Screening , Rathna Ramesh

Constructing Dynamic Ad-hoc Emergency Networks using Software-Defined Wireless Mesh Networks , Roop Kumar Sriramulu

Theses/Dissertations from 2017 2017

An Experimental Study of Human Body Magnetic Communication , Arvind Allawadi

Unified Software Engineering Reuse: A Methodology for Effective Software Reuse , Charles Allen Flood

Convolutional Neural Network Acceleration on GPU by Exploiting Data Reuse , Sindhuja Gopalakrishnan Elango

Intelligent Threat-Aware Response System in Software-Defined Networks , Kunal Ketan Goswami

Network Traffic Anomaly-Detection Framework Using GPUs , Meera Ramesh

Theses/Dissertations from 2016 2016

Modeling Cloud Computing Threats and Vulnerabilities , Maryam Runiassy

Theses/Dissertations from 2015 2015

Consumer Complaints and Protection: Stable Analysis and Design Patterns , Vishnu Sai Reddy Gangireddy

Face Recognition: An Engineering Approach , Farshad Ghahramani

AEGIS: Validating Execution Behavior of Controller Applications in Software-Defined Networks , Hitesh Maruti Padekar

Theses/Dissertations from 2013 2013

Embedded Cloud System for Ann-Cod Analysis Using UV Spectroscopy , Kaushik Patra

Theses/Dissertations from 2012 2012

Scaling CUDA for Distributed Heterogeneous Processors , Siu Kwan Lam

Towards a secure sotware development lifecycle with SQUARE+R , Kyle Le

Theses/Dissertations from 2011 2011

Design and Optimization of an Active Magnetic Thrust Bearing for Flywheel Energy Storage Systems , Siu Kiong Lam

Integration and Convergence of Mobile and Cloud Computing , Howard Liu

A Framework for Testing as a Service , Iman Sadooghi

Theses/Dissertations from 2010 2010

Establishing Community and Research Trust in Public Health Using Service-Oriented Architecture (SOA) , Juanita Hun Mah

Semantic Hypermedia Framework for Web Applications , David Tien

Theses/Dissertations from 2009 2009

Design and implementation of embedded adaptive controller using ARM processor. , Hoan The Nguyen

Robot assisted herding , Pinky Thakkar

Theses/Dissertations from 2008 2008

A framework for graphical analysis of a home-network router using DTrace , Christopher S. Nelson

Design and implementation of reverse risk assessment software , Igor S. Tilinin

Theses/Dissertations from 2007 2007

Pattern topology for content management system , Mahdī Bāzargān

A mathematical model for retirement planning , Debasish Chakraborty

A security analysis of PPStream , Linan Chang

Unified data mining engine as a system of patterns , Somenath Das

A web service authorization framework using a specification language , Ellora Nayak

Theses/Dissertations from 2006 2006

Integration of biologiccal databases , Azadeh Ahadian

Unified data mining using stable patterns , Pranali Khadpe

A pattern language for service-oriented architecture , Haritha Kilaru

Defending flash worms : contemporary detection schemes and a hierarchical model , Pele Y. Li

A framework for self-configuration , Fadil Mesic

Building systems using patterns : creating knowledge maps , Huascar A. Sanchez

LRET : local reference with early termination for H.264 motion estimation , Sweta Singh

Theses/Dissertations from 2005 2005

An interface-based testing technique for component-based software systems , Brian Bui

The feedback model in peer-to-peer based active e-learning , I-Ching Fong

Requirements engineering for mobile systems , Goksun Ilhan

Design of Bluetooth frequency synthesizer , Shridevi Vijayakumar Jade

Design to handle interruptions in human-computer interaction , Chiao-Yu Lu

Theses/Dissertations from 2004 2004

Mastering universal transaction management system (UTMS) with software patterns , Ram Goverdhana

CMPE : cluster-management & power-efficient protocol for wireless sensor networks , Shen Ben Ho

Design of software components with increased testability , Yi-Tien Lin

Pattern language for performance evaluation , Rohini Pradeep

A mobile database design approach in problem-based learning , Sunita Sharma

Verification and measurement of software component testability , Ming-Chih Shih

A data conversion sub-system for an ionospheric forecast system , Paulus Zegwaard

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Senior Thesis Archive

This page lists all Allen School student theses, archived online since 2005.

Winners, 2021 Best Senior Thesis Award Design Principles for Mobile and Wearable Health Technologies Parker S. Ruth, supervised by Dr. Shwetak Patel

Winner, 2020 Best Senior Thesis Award Understanding and Designing for Security and Privacy in Multi-User AR Interactions Kimberly Ruth, supervised by Franziska Roesner and Tadayoshi Kohno

Winner, 2019 Best Senior Thesis Award Implicit Linguistic Knowledge of Neural Natural Language Processing Models Nelson Liu, supervised by Noah Smith

Winner, 2018 Best Senior Thesis Award A Crash-Safe Key-Value Store Using Chained Copy-on-Write B-trees Bruno Castro-Karney, supervised by Xi Wang

BrainNet: A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains Linxing (Preston) Jiang, supervised by Raj Rao

Multi-Location Droplet Management for Digital Microfluidics Sarang Joshi, supervised by Luis Ceze

Kernel Support for Paravirtaulized Guest OS Shibin (Jack) Xi, supervised by Shwetak Patel, Elliot Saba

Winner, 2017 Best Senior Thesis Award The Methods of Interlacing Polynomials Kuikui Liu, supervised by Shayan Oveis Gharan

Winner, 2017 Best Senior Thesis Award Respeak: A Voice-based, Crowd-powered, and Accessible Speech Transcription System Pooja Sethi, supervised by Richard Anderson

Semi-Supervised Spatial Knowledge Transfer with Deep Generative Models Kousuke Ariga, supervised by Andrzej Pronobis

Automated Classification of Adult Cough Recordings into Wet vs. Dry with Applications to Pulmonary Disease Assessment Jiayao Clara Lu, supervised by Shwetak Patel, Elliot Saba

Preventing Signedness Errors in Numerical Computations in Java Christopher Mackie, supervised by Michael Ernst

Successive Convexification for Trajectory Planning: Analysis of Two Problems Irina Tolkova, supervised by Dieter Fox

Synthesis of Parallel Tree Programs with Domain-Specific Sympbolic Compilation Nate Yazdani, supervised by Ras Bodik

Evaluating Digital Financial Services for Financial Inclusion in Southern Ghana Sarah Yu, supervised by Richard Anderson

Learning Large-Scale Topological Maps Using Sum-Product Networks Kaiyu Zheng, supervised by Andrzej Pronobis, Raj Rao

Winner, 2016 Best Senior Thesis Award Navigating a 2D Virtual World Using Direct Brain Stimulation Darby Losey, supervised by Rajesh Rao

Third-Party Content on the Web: A Visual Study Christopher Blappert, supervised by Franziska Roesner, Tadayoshi Kohno

Contributions to Vega Ryan Russell, supervised by Jeffrey Heer

TR15-01:  PDF   Winner, 2015 Best Senior Thesis Award Probability Type Inference for Flexible Approximate Programming Brett Boston, supervised by Dan Grossman

TR15-02:  PDF Tleilax: Porting Tor to Arrakis Sunjay Cauligi, supervised by Tom Anderson

TR15-03:  PDF EKG Monitoring and Arrhythmia Detection Amaris Chen, supervised by Bruce Hemingway

TR15-04:  PDF Automated Analysis of Paper-Based Immunoassay Tests Krittika D'Silva, supervised by Gaetano Borriello & Paul Yager

TR15-05:  PDF   The Wisdom of Multiple Guesses Ryan Drapeau, supervised by Johan Ugander and Carlos Guestrin

TR15-06:  PDF Extending Streaming Features for Myria Yuqing Guo, supervised by Magdalena Balazinska

TR15-07:  PDF Tabletop Manipulation Dylan Holmes, supervised by Emanuel Todorov

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TR15-09:  PDF OBA Research & Development Aengus McMillin, supervised by Alan Borning

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TR15-11:  PDF Talk Space: Developing the Online Salon Karthik Palaniappan, supervised by Alan Borning

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TR15-13:  PDF Distributed Sampling in a Big Data Management System Dan Radion, supervised by Dan Suciu

TR15-14:  PDF Algebraic Simplification for the Herbie Project Alex Sanchez-Stern, supervised by Zachary Tatlock

TR15-15:  PDF Understanding Charts in Research Papers: A Learning Approach Noah Siegel, supervised by Ali Farhadi

TR15-16:  PDF LeagueSpeak: The Language of Skill in Leage of Legends King O. Xia, supervised by James Fogarty

TR14-01:  PDF POMDP-Based Interaction and Interactive Natural Language Grounding with a NAO Robot Maxwell Forbes, supervised by Rajesh Rao

TR14-02:  PDF Running N-body Use Cases on Myria Lee Lee Choo, supervised by Magdalena Balazinska

TR14-03:  PDF Verification Games Type Systems Nathaniel Mote, supervised by Michael Ernst

TR14-04:  PDF PNA: Protein-Nucleic Acid Complex Structure Prediction Raymond Zhang, supervised by Martin Tompa

TR14-05:  PDF   Winner, 2014 Best Senior Thesis Award DCDN: Distributed Content Delivery for the Modern Web  Nick Martindell, supervised by Tom Anderson & Arvind Krishnamurthy

TR14-06:  PDF Data Purchase Advisor: Cost-Effective Data Acquisition for Shared Data Analysis Martina Unutzer, supervised by Magdalena Balazinska

TR14-07:  PDF Investigation into Measuring Blood Pressure with a Mobile Phone Molly Moen, supervised by Gaetano Borriello

TR14-08:  PDF DigiTaps Vaspol Ruamviboonsuk, supervised by Richard Ladner

TR14-09:  PDF Modeling Relational Vocabulary for Grounded Language Acquisition Caitlin Harding, supervised by Luke Zettlemoyer

TR14-10:  PDF Spectral Graph Theory, Expanders, and Ramanujan Graphs Christopher WIlliamson, supervised by James Lee & Anup Rao

TR14-11:  PDF Eyes-Free Error Detection and Correction of Speech Dictation on Mobile Devices Rochelle Ng, supervised by Richard Ladner

TR14-12:  PDF On a Competitive Secretary Problem Eric Lei, supervised by Anna Karlin

TR13-01: PDF Traceur: Inferring Variable Control Flow Using Synoptic With Multiple Relation Types Timothy Vega, supervised by Michael Ernst

TR13-02: PDF 1 , PDF 2 , PDF 3 Monitors: Keeping Informed on Code Changes [PDF 1] News and Notification: Propagating Releveant Changes to Developers [PDF 2] Refinements and Git Integration with Notifications and Monitoring [PDF 3] Christopher Dentel supervised at ETH Zurich by Christian Estler, Dr. Martin Nordio, & Prof. Dr. Bertrand Meyer supervised at UW by David Notkin

TR13-03: PDF 1 , PDF 2 , PDF 3 Contract Inserter: A Tool for Automatically Generating and Inserting C# Code Contracts Forrest Coward, supervised by Michael Ernst

TR13-04: PDF ODK Tables Graphing Tool Nathan Brandes, supervised by Gaetano Borriello

TR13-05: PDF Probabilistic Co-Adaptive Brain-Computer Interfacing Matthew Bryan, supervised by Rajesh Rao

TR13-06: PDF Stroke Rehabilitation Through Motor Imagery Controlled Humanoid Priya Chagaleti, supervised by Rajesh Rao

TR13-07: PDF Analyzer: Integrated Tools to Guide the Application of Machine Learning Christopher Clark, supervised by Oren Etzioni

TR13-08: PDF Considering Accuracy and Diversity when Creating Ensembles of Classifiers Michael Fain, supervised by James Fogarty

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TR13-10: PDF Appliance Reader Antonius Denny Harijanto, supervised by Richard Ladner

TR13-11: PDF Towards a Theory of Multiparty Information Complexity Samuel Hopkins, supervised by Paul Beame

TR13-12: PDF Instance-Based Recognition of Screen-Rendered Text in a System for Pixel-Based Reverse-Engineering of Graphical Interfaces Stephen Joe Jonany, supervised by James Fogarty

TR13-13: PDF Identifying Idiomatic Language at Scale Grace Muzny, supervised by Luke Zettlemoyer

TR13-14: PDF Identifying Application Breakage Caused by Virtualization Steven Portzer, supervised by Arvind Krishnamurthy

TR13-15: PDF Winner, 2013 Best Senior Thesis Award An API For Touch-Free Interfaces For Andriod Devices Leeran Raphaely, supervised by Gaetano Borriello

TR13-16: PDF ODK Tables: Improving the Custom Views Heidi So, supervised by Gaetano Borriello

TR13-17: PDF Leveraging Data Invariants in Model Interfernce for Test Case Generation Roykrong Sukkerd, supervised by Michael Ernst

TR12-01: PDF InvariMint: Modeling Logged Behavior with Invariant DFAs Jenny Abrahamson, supervised by Michael Ernst

TR12-02: PDF Quantum Compiler Optimizations Jeff Booth, supervised by Aram Harrow

TR12-03: PDF StopFinder: Improving the Experience of Blind Public Transit Riders with Crowdsourcing Sanjana Prasain, supervised by Alan Borning

TR12-04: PDF A Type System for Regular Expressions Eric Spishak, supervised by Michael Ernst

TR12-05: PDF Run-Length Encoding Markovian Streams Jennifer Wong, supervised by Magdalena Balazinska

TR12-06: PDF Expanding the Depth Cloud: How to Intelligently Improve Grasping Matthew Mullen, supervised by Joshua Smith

TR12-08: PDF Simultaneous Tracking of Two Hands Using Camshift Eric Hare, supervised by Dieter Fox

TR12-07: PDF A Cold Chain Data Visualization Tool Melissa Winstanley, supervised by Ruth Anderson

TR12-09: PDF Winner, 2012 Best Senior Thesis Award The Elan Programming Language for Field-Programmable Gate Arrays Elliott Brossard, supervised by Carl Ebeling

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TR12-12: PDF Efficient MapReduce Applications Finn Parnell, supervised by Luis Ceze

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TR12-14: PDF A Synchronization Protocol for ODK Tables and ODK Aggregate Dylan Price, supervised by Gaetano Borriello

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TR11-04: PDF Improving performance of prototype recognition in Prefab Orkhan Muradov, supervised by James Fogarty

TR11-05: PDF   Winner, 2011 Best Senior Thesis Award LIFEGUARD: Locating Internet Failure Events and Generating Usable Alternate Routes Dynamically Robert Colin Scott, supervised by Tom Anderson

TR11-06: PDF Towards Practical Brain-Computer Interfaces: Hierarchical Learning and Source Estimation Willy Cheung, supervised by Rajesh Rao

TR11-07: PDF Improving Open Data Kit Collect's Multiple Choice Data Entry Methods Jeffrey Beorse, supervised by Gaetano Borriello

TR11-08: PDF Runtime Verification of Portable Programming Interfaces Jeff Rasley, supervised by Justin Cappos

TR10-01: PDF Modeling a Lattice-Traversing Robot Albert Chiu, supervised by Eric Klavins

TR10-02: PDF Haptic Laser Erik Rosenkrantz Dennison Turnquist, supervised by Shwetak Patel

TR10-03: PDF The Cinematic Sandbox: Utilizing Video Game Engines for Rapid Prototyping of Animated Films Nicholas Garrett, supervised by Barbara Mones

TR10-04: PDF   Winner, 2010 Best Senior Thesis Award Applications of the IP Timestamp Option to Internet Measurement Justine Sherry, supervised by Tom Anderson

TR10-05: PDF Iterative Design and Implementation of an Educational Platform for Shared Computing Contexts Sunil Garg, supervised by Richard Anderson

TR10-06: PDF Deployment and Evaluation of an Educational Platform for Shared Computing Contexts Clint Tseng, supervised by Richard Anderson

TR10-07: PDF MultiViewer Imaging Viewer: Automated Calibration PET Phanton Analysis Project Yogesh Saletore, supervised by Linda Shapiro

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TR09-02: PDF Simulating Hand Interaction in a Virtual Environment with Open Dynamics Engine and CyberGlove Nick Nunley, supervised by Miro Enev

TR09-03: PDF   Winner, 2009 Best Senior Thesis Award Real-Time Classification of Everyday Fitness Activities on Windows Mobile Alireza Bagheri Garakani, supervised by James Fogarty

TR08-01: PDF Winner, 2008 Best Senior Thesis Award Maintaining Intelligibility of ASL Video in the Presence of Data Loss Sam Whittle, supervised by Richard Ladner

TR08-02: PDF Parallel N-Body Simulation Using Problem Space Promotion Brandon Farrell, supervised by Larry Snyder

TR08-03: PDF Exploring New Applications for Parallel Programming: Envisioning a New Realm David Tepper, supervised by Larry Snyder

TR07-01: PDF Connecting Diets to Disease: Using Data-Mining to Find Links between Food Comsumption and Chronic Diseases Alex Zheng, supervised by Rajesh Rao

TR07-02: PDF Tagged Representations in WIL Daria Craciunoiu, supervised by Craig Chambers

TR07-03: PDF Multicore ZPL Steven P. Smith, supervised by Larry Snyder

TR07-04: PDF Implementing NOT EXISTS Predicates over a Probabilistic Database Ting-You Wang, supervised by Dan Suciu

TR07-05: PDF   Winner, 2007 Best Senior Thesis Award Context-Based Arithmetic Coding for the DCT: Achieving high compression rates with block transforms and simple context modeling Kyle Littlefield, supervised by Richard Ladner

TR06-01: PDF Winner, 2006 Best Senior Thesis Award Feature-Based Classification of the Mouse Eye Images Jenny Yuen, supervised by Linda Shapiro

TR05-01: PDF   Winner, 2005 Best Senior Thesis Award Text Segmentation and Grouping for Tactile Graphics Matthew Renzelmann, supervised by Richard Ladner

  • Bibliography
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Dissertations / Theses on the topic 'Major Computer Engineering'

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Coker, Ayodeji. "Performance analysis of fault-tolerant nanoelectronic memories." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2666.

Horwitz-Martin, Rachelle (Rachelle Laura). "Vocal modulation features in the prediction of major depressive disorder severity." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/93072.

Ye, Xiaoji. "Fast high-order variation-aware IC interconnect analysis." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1431.

Scales, Alice Young. "The Effect of Learning Style, Major, and Gender on Learning Computer-aided Drawing in an Introductory Engineering/Technical Graphics Course." NCSU, 2000. http://www.lib.ncsu.edu/theses/available/etd-20000321-151615.

Choudhuri, Siddharth. "Macromodeling and characterization of filesystem energy consumption for diskless embedded systems." Texas A&M University, 2003. http://hdl.handle.net/1969/295.

Yu, Wei. "On countermeasures of worm attacks over the Internet." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2669.

Shah, Pratik Jitendra. "Case studies on lithography-friendly vlsi circuit layout." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-3120.

Lee, Man Hee. "Architectural support for enhancing security in clusters." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2889.

Yallapragada, Naresh. "A 64-channel personal computer based image reconstruction system and applications in single echo acquisition magnetic resonance elastography and ultra-fast magnetic resonance imaging." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2732.

Rengarajan, Janarthanan. "Operated device estimation framework." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2324.

Zhu, Ye. "On traffic analysis in anonymous communication networks." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1758.

Doddannagari, Uday. "A p-cell approach to integer gate sizing." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-2443.

Venkataraman, Ganesh. "Variation and power issues in VLSI clock networks." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1250.

Nemade, Nikhil Pandit. "Application of network coding for VLSI routing." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2670.

Kanjani, Khushboo. "Supporting fault-tolerant communication in networks." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-3118.

Mitra, Sandipan. "Computer aided synthesis and design of PID controllers." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-2064.

Jayakumar, Nikhil. "Minimizing and exploiting leakage in VLSI." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1249.

Beckmann, Jeffery Linn. "Single camera 3D gaze determination." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1247.

Chang, Sanghoan. "Empirical timing analysis of CPUs and delay fault tolerant design using partial redundancy." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1270.

Schrock, Steven Dale. "Development of a personal computer-based secondary task procedure as a surrogate for a driving simulator." Thesis, [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1466.

Kim, Jongsoon. "Dose calculation methodology for irradiation treatment of complex-shaped foods." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1899.

Bhandarkar, Sumitha. "Congestion control algorithms of TCP in emerging networks." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1757.

Samanta, Rupak. "Design methodologies for variation-aware integrated circuits." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-3119.

Tang, Jia. "QoS-driven adaptive resource allocation for mobile wireless communications and networks." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1050.

Kim, Hyun Sung. "Statistical static timing analysis considering the impact of power supply noise in VLSI circuits." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1902.

Park, Sungho. "A verilog-hdl implementation of virtual channels in a network-on-chip router." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2890.

Luo, Ping. "Design and Implementation of High Performance Algorithms for the (n,k)-Universal Set Problem." [College Station, Tex. : Texas A&M University, 2009. http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-7033.

Irfan, Rahmatul [Verfasser], Triyono Mochamad [Gutachter] Bruri, Thomas [Gutachter] Köhler, Slamet [Gutachter], Pardjono [Gutachter], Soenarto [Gutachter], and Putu [Gutachter] Sudira. "Developoing A Computer and Network Engineering Major Curriculum For Vocational High School (VHS) in Indonesia / Rahmatul Irfan ; Gutachter: Mochamad Bruri Triyono, Thomas Köhler, Slamet, Pardjono, Soenarto, Putu Sudira." Dresden : Technische Universität Dresden, 2020. http://d-nb.info/1227201796/34.

Irfan, Rahmatul [Verfasser], Triyono Mochamad Gutachter] Bruri, Thomas [Gutachter] [Köhler, Slamet [Gutachter], Pardjono [Gutachter], Soenarto [Gutachter], and Putu [Gutachter] Sudira. "Developoing A Computer and Network Engineering Major Curriculum For Vocational High School (VHS) in Indonesia / Rahmatul Irfan ; Gutachter: Mochamad Bruri Triyono, Thomas Köhler, Slamet, Pardjono, Soenarto, Putu Sudira." Dresden : Technische Universität Dresden, 2020. http://d-nb.info/1227201796/34.

Cao, Ke. "Design for manufacturing (DFM) in submicron VLSI design." Thesis, [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1430.

Shah, Nimay Shamik. "Built-in proactive tuning for circuit aging and process variation resilience." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2891.

Wu, Lei. "An efficient logic fault diagnosis framework based on effect-cause approach." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-2442.

Venkitasubramanian, Iyer Jayakrishnan. "Variable length pattern coding for power reduction in off-chip data buses." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2667.

Wang, Jing. "Power supply noise in delay testing." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1428.

Trinka, Michael Robert. "Defect site prediction based upon statistical analysis of fault signatures." Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969/95.

Cobb, Jeffrey Lee. "A robust window-based multi-node minimization technique using Boolean relations." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-2023.

Xie, Dawen. "Design and implementation of a departmental information management system." Thesis, [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1429.

Peng, Dongming. "Exploiting parallelism within multidimensional multirate digital signal processing systems." Diss., Texas A&M University, 2003. http://hdl.handle.net/1969/141.

Shankar, Sonu. "Parameter assignment for improved connectivity and security in randomly deployed wireless sensor networks via hybrid omni/uni-directional antennas." Thesis, [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2892.

Adekile, Olusegun. "Object-oriented software development effort prediction using design patterns from object interaction analysis." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2329.

Chen, Feilong. "Agent oriented fault detection, isolation and recovery and aspect-oriented plug-and-play tracking mechanism." Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969/571.

Tandon, Raghav. "Leader election in distributed networks using agent based self-stabilizing technique." Texas A&M University, 2003. http://hdl.handle.net/1969/287.

Bhojwani, Praveen Sunder. "Communication synthesis of networks-on-chip (noc)." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-2022.

Paul, Suganth. "Design and implementation of a sub-threshold wireless BFSK transmitter." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-2025.

Li, Qiuyang. "Steiner network construction for signal net routing with double-sided timing constraints." Thesis, [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1744.

Zou, Le. "3D face recognition with wireless transportation." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1448.

Gunnam, Kiran Kumar. "Area and energy efficient VLSI architectures for low-density parity-check decoders using an on-the-fly computation." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1049.

He, Chuan. "Numerical solutions of differential equations on FPGA-enhanced computers." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1248.

Tena-Chollet, Florian. "Elaboration d'un environnement semi-virtuel de formation à la gestion stratégique de crise, basé sur la simulation multi-agents." Phd thesis, Ecole Nationale Supérieure des Mines de Saint-Etienne, 2012. http://tel.archives-ouvertes.fr/tel-00741941.

Arambula, Mercado Edith. "Influence of fundamental material properties and air void structure on moisture damage of asphalt mixes." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1276.

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    Winners, 2021 Best Senior Thesis Award Design Principles for Mobile and Wearable Health Technologies Parker S. Ruth, supervised by Dr. Shwetak Patel ... Paul G. Allen School of Computer Science & Engineering University of Washington. Main Administrative Offices: Paul G. Allen Center, Box 352350 185 E Stevens Way NE Seattle, WA 98195-2350

  18. A Guide to Writing a Senior Thesis in Engineering

    For engineering, thesis readers are chosen by the student. It is the responsibility of the student to select their thesis readers and to ensure that the readers are committed. No readers are ever assigned. For Engineering only (non-joint) the thesis committee typically consists of the advisor and two more faculty from FAS/SEAS.

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    Computer Engineering (CMPE) department thesis should be formatted. Our LaTeX thesis template follows the IEEE Computer Society (compsoc) journal style in most respects, yet ... the best choice when the number of activities is unknown. Wang et al. [10] discussed linear dynamical systems for human activity recognition, ...

  20. Dissertations / Theses on the topic 'Major Computer Engineering'

    Consult the top 50 dissertations / theses for your research on the topic 'Major Computer Engineering.' Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago ...