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105 Computer Science Thesis Topics And Writing Guide

After years of hard work and struggle, you have reached the most important stage of your academic life – writing a computer science thesis. It is clear that this is a defining moment for your life, and you wouldn’t want to throw anything to chance.

As a rule, most of the computer science theses consist of two major parts – writing a particular program and writing a paper, describing its functionality and the reasons behind its development.

Whether yours is a computer science bachelor thesis, computer science Master’s thesis, or a computer science Ph.D. thesis, you know it is not easy. With all the algorithms, binary equations, and programming calculations in your head, you might end up breaking down.

That calls for computer science help. Please wait a moment; I know what you are thinking. ‘Can I trust computer science help online for such a technical subject?’ Yes, you can! As you delve deep, you will realize why we are the best match for this kind of task.

Scroll down for more.

Computer Science Thesis Outline: How To Structure It?

Like any other academic research paper, a computer science thesis has a well-laid out structure that you will follow. An outline helps underpin the bulk of such a demanding paper into manageable parts.

Before we delve into this, we have to understand that there are various computer science fields such as:

Computer hardware systems Software systems Database systems Discrete mathematics Scientific computing

Therefore, whenever you determine the outline of your bachelor’s or master thesis computer science outline, bear those categories in mind. They will help you narrow down your research to a specific area, thus saving you time and energy too!

Depending on your institution, you will have a specified outline for your computer science thesis. However, the following parts form the standard outline of any thesis paper for Masters or Ph.D.

Introduction (contains the background, statement of the problem, research questions, hypothesis, etc.)
Next is the literature review , which gives the theoretical framework of your research
The methodology section describes and justifies the methods to be used in data collection.
The results and discussion section gives answers to your research questions and explains their meaning.
Finally, the conclusion and recommendations review the findings and results and give a summary of the research.

The outline of a Master’s thesis in Computer Science or Ph. D. might vary depending on its requirements. Be sure to confirm with your professor on which outline to follow.

Master Thesis Computer Science Writing Guide

Writing such a large scale project is not something that can be done in a few days. The technicality of the computer science field makes it all the more complex. Some will tell you that it is more technical than coming up with a computer program.

That said, here are professionally handpicked tips for your Master Thesis in Computer Science:

Understand the purpose of your computer thesis If you are writing on a computer program, show a deeper knowledge and understanding of the unique and fresh program. Let the reader see that you have mastered your program to the core.
Begin writing early It is not something you can plan to do on the eve of the submission date. It will make your writing process light and highly motivational, especially with the voluminous books you will have to read.
Selecting your topic It is a task that sends chills down the spine of many students. Thus, your topic should not be too narrow or too broad – this will portray you as an amateur. Draw your computer science thesis topic from something you encountered during your coursework.
Keep reading To be precise, read a little, write a little, every day. It will surprise you how much ground you will have covered by the time you are submitting your thesis for review.

Latest Computer Science Thesis Topics For You!

Below is a comprehensive list of original computer science thesis topics for your inspiration:

A case study of the pitfalls of assembly languages used to develop applications, websites, and software.
Design and development of artificial intelligence systems
Process improvement techniques for the functionality of robots
An analysis of the factors that necessitate Java as one of the best programming languages
What is the place of ethical hacking in today’s digital society?
How to improve human-computer interaction
What is the potential of computer systems in combating terrorism and crime?
Identify how cyber-security enhances data confidentiality
The design and engineering of computer applications and other systems
Highlighting the differences between programming languages
How can organizations make use of data mining?
Identify efficient logistics in software architecture
The effect of globalization and its impact on database administration
A detailed investigation into the data availability and security
The influence and impact of emerging computer technologies on the healthcare system
Effect of training on knowledge performance in computer performance optimization
The behavior of network architecture within a computing environment
How can learning institutions implement computer systems for virtual and distance learning?
Why risk management is necessary for data protection and information security in companies
A detailed review of the role of education and industrialization on the development of computer systems.

From these topics, you can derive more computer science thesis topics for your presentation. Remember that the topic should be on a subject or field that is of interest to you. Settling on a complex and least researched topic might not be a good idea for you.

We can help you unearth more topics for your thesis paper. Read to the end to find out how?

Computer Science Thesis Topics

You need a computer science thesis topic before getting a computer science degree. Here is a list of interesting topics to create the best essay yet:

Explain how to Blockchain benefits big businesses
Discuss the conversation on using pet tracking chips
Examine how genetic sequencing works using a computer
How does IT help with security in financial institutions?
Discuss what digitization means for privacy in the medical field
What are the most effective ways to backup data in the medical field?
Discuss the limitations of communication and computation
Would you say the average ATM is secure?
Analyze an innovation that seems threatening but seems to be a favorite for the human race
Why should any business utilize open-source software, and how does it help with security?
Discuss the role of technology in the classroom
Discuss the personal or home use of quantum computers
Would you say embedded systems are changing how the world works?
What would you say about social media and technology trends
Will technology reduce recruitment in an industry (of your choosing)
How does technology affect human interactions, and will AI remedy that?
Examine the computer assistance that can help businesses perform efficient customer care
Analyze the technologies involved in casino live gambling
Would you say artificial intelligence is a threat or blessing to contemporary society
Explain if machine learning impact neurons and the way the brain works negatively
How does Big Data help corporations
Examine the average human’s knowledge of virtual reality through quantitative research
Philosophize the future of technology
Examine the future of programming languages and their efficiency
What is the most creative development in computer technology yet?

Computer Science Topics

If you are fascinated by computer science and technology, you may want to conduct in-depth research into several fields. Here are interesting topics for a computer science thesis to review:

Discuss databases, data mining, and how cryptocurrency works
Examine the network between neuron network and machine learning
How do robots and computers understand human language
Examine the role of mathematics in modeling computers
Discuss encryption and decryption of data
How does computer-aided learning work
How can you achieve usability in human-computer interaction
Are there any hacking ethics?
Discuss the advantages and disadvantages of the cloud storage
What are the cybersecurity threats in banking systems
Are there any loopholes in the technology of DAOs
How does Blockchain Technology help the world
Discuss the role of wireless systems in vehicles
Examine how biometric systems work in cars
Analyze how cryptography works.

Computer Science Research Topics

If you’ve ever wondered how technology and the world cooperate, here are some of the best topics to research and provide answers to for your essay or paper.

What is the nexus of technology and finance?
Examine the relationship between technology and healthcare
Can robots work without any human intervention?
How do computers interfere with forensics?
Discuss computer security and information and how they work
Examine the concerns of privacy in electronic health
What are the vulnerabilities in bioinformatics?
Explain the buildup of cyber-physical systems
How has deep learning helped an industry of your choice
What are the process computer take to analyze language
Discuss the basic techniques for computer security
Examine how natural language processing works
Give an overview of textual mining
How do deep visual models work?
What is meant by distributed data clustering?

Research Topics in Computer Science

Computer science deals with how computer systems work. It is all about computer programs, strategies for development, and how they help humans. Here are 15 topics for you:

Examine the role of computer technology in sports
How does technology boost the performance of professional athletes?
Would you say technology can lead to addiction?
Explore the strategies used in gaming technology
How does computer technology influence management solutions?
Discuss the role of technology in the engineering field
What is the future of information technology?
What are the key developments and trends that show the vulnerabilities of technology?
Using Tesla as a case study, what are technology’s vulnerabilities in automobile manufacturing and development.
What does psychology say about the different Advancements in technology
Examine the evolution of the gaming industry and how it has changed the perception of entertainment
Track the evolution of the entertainment industry and technology has helped propel it
What are the ways technology has propelled interactive media?
Discuss the ways technology has influenced sports betting
How has technology helped with fraud detection in the finance sector?

Computer Science Topics for Research

Being a computer science student means brainstorming, researching, and giving in-depth interpretations of why and how some things happen. Here are some relevant computer science research topics to steer your critical thinking skills:

Analyze technological innovations in the construction and real estate industries
Can AI have an impact on the economy of any country?
Technology has helped with the way we understand the environment: argue
Can technology help with how we solve the climate crisis?
What is the role of technology in social media marketing?
Discuss the technology companies like Google use to offer internet services
Deeply analyze why some Mobile phones cannot work in the US
How does the technology work in the creation of smart home systems?
Data mining and ethical concerns: what are they?
Will the 5-G network change how phones connect?
Discuss the most important technology trends since COVID-19
Why is facial scanning vulnerable to privacy breaches?
How can computer technology help in tracking crime and offenders?
What is the core buildup of math computing?
Explain the most effective and ethical ways to tackle identity theft.

Computer Science Help Online For Master’s and PhD. Students

With all the tips and tricks above in mind, you might still need professional Computer Science thesis writing help . Does this make you an amateur or a lazy student? No! Getting such help will increase your knowledge base while sharpening your thesis writing skills. Iron sharpens iron, so they say.

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Make PhD experience your own

Senior Thesis

A senior thesis is more than a big project write-up. It is documentation of an attempt to contribute to the general understanding of some problem of computer science, together with exposition that sets the work in the context of what has come before and what might follow. In computer science, some theses involve building systems, some involve experiments and measurements, some are theoretical, some involve human subjects, and some do more than one of these things. Computer science is unusual among scientific disciplines in that current faculty research has many loose ends appropriate for undergraduate research.

Senior thesis projects generally emerge from collaboration with faculty. Students looking for senior thesis projects should tell professors they know, especially professors whose courses they are taking or have taken, that they are looking for things to work on. See the page on CS Research for Undergrads . Ideas often emerge from recent papers discussed in advanced courses. The terms in which some published research was undertaken might be generalized, relaxed, restricted, or applied in a different domain to see if changed assumptions result in a changed solution. Once a project gets going, it often seems to assume a life of its own.

To write a thesis, students may enroll in Computer Science 91r one or both terms during their senior year, under the supervision of their research advisor. Rising seniors may wish to begin thinking about theses over the previous summer, and therefore may want to begin their conversations with faculty during their junior spring—or even try to stay in Cambridge to do summer research.

An information session for those interested in writing a senior thesis is held towards the end of each spring semester. Details about the session will be posted to the [email protected] email list.

Students interested in commercializing ideas in their theses may wish to consult Executive Dean Fawwaz Habbal about patent protection. See Harvard’s policy for information about ownership of software written as part of your academic work.

Thesis Supervisor

You need a thesis supervisor. Normally this is a Harvard Computer Science faculty member. Joint concentrators (and, in some cases, non-joint concentrators) might have a FAS/SEAS Faculty member from a different field as their thesis supervisor. Exceptions to the requirement that the thesis supervisor is a CS or FAS/SEAS faculty member must be approved by the Director of Undergraduate Studies. For students whose advisor is not a Harvard CS faculty member, note that at least one of your thesis readers must be a Harvard CS faculty member, and we encourage you to talk with this faculty member regularly to help ensure that your thesis is appropriately relevant for Harvard Computer Science.

It’s up to you and your supervisor how frequently you meet and how engaged the supervisor is in your thesis research. However, we encourage you to meet with your supervisor at least several times during the Fall and Spring, and to agree on deadlines for initial results, chapter outlines, drafts, etc.

Thesis Readers

The thesis is evaluated by the thesis readers. Thesis readers must be either:

Two Harvard CS faculty members/affiliates ; or:

Three readers, at least one of whom is a Harvard CS faculty member and the others are ordinarily teaching faculty members of the Faculty of Arts and Sciences or SEAS who are generally familiar with the research area.

The thesis supervisor is one of the readers.

The student is responsible for finding the other readers, but you can talk with your supervisor for suggestions of possible readers.

Exceptions to these thesis reader requirements must be approved by the Directors of Undergraduate Studies.

For joint concentrators, the other concentration may have different procedures for thesis readers; if you have any questions or concerns about thesis readers, please contact the Directors of Undergraduate Studies.

Senior Thesis Seminar

Computer Science does not have a Senior Thesis seminar course.

However, we do run an informal optional series of Senior Thesis meetings in the Fall to help with the thesis writing process, focused on topics such as technical writing tips, work-shopping your senior thesis story, structure of your thesis, and more. Pay attention to your email in the Fall for announcements about this series of meetings.

The thesis should contain an informative abstract separate from the body of the thesis. This abstract should clearly state what the contribution of the thesis is–which parts are expository, whether there are novel results, etc. We also recommend the thesis contain an introduction that is at most 5 pages in length that contains an “Our contributions” section which explains exactly what the thesis contributed, and which sections in the thesis these are elaborated on. At the degree meeting, the Committee on Undergraduate Studies in Computer Science will review the thesis abstract, the reports from the three readers and the student’s academic record; it will have access to the thesis. The readers (and student) are told to assume that the Committee consists of technical professionals who are not necessarily conversant with the subject matter of the thesis so their reports (and abstract) should reflect this audience.

The length of the thesis should be as long as it needs to be to present its arguments, but no longer!

There are no specific formatting guidelines. For LaTeX, some students have used this template in the past . It is set up to meet the Harvard PhD Dissertation requirements, so it is meeting requirements that you as CS Senior Thesis writers don’t have.

Thesis Timeline for Seniors

(The timeline below is for students graduating in May. For off-cycle students, the same timeline applies, but offset by one semester. The thesis due date for March 2025 graduates is Friday November 22, 2024 at 2pm. The thesis deadline for May 2024 graduates is Friday March 29th Monday April 1st at 2pm.

Please be aware that students writing a joint thesis must meet the requirements of both departments–so if there are two different due dates for the thesis, you are expected to meet the earlier date.

Senior Fall (or earlier) Find a thesis supervisor, and start research.

October/November/December Start writing.

All fourth year concentrators are contacted by the Office of Academic Programs and those planning to submit a senior thesis are requested to supply certain information, including name of advisor and a tentative thesis title. You may use a different title when you submit your thesis; you do not need to tell us your updated title before then. If Fall 2024 is your final term, please fill out this form . If May 2024 is your final term, please fill out this form .

Early February The student should provide the name and contact information for the readers (see above), together with assurance that they have agreed to serve.

Mid-March Thesis supervisors are advised to demand a first draft. (A common reaction of thesis readers is “This would have been an excellent first draft. Too bad it is the final thesis—it could have been so much better if I had been able to make some suggestions a couple of weeks ago.")

April 1, 2024 * Thesis is due by 2:00 pm. Electronic copies in PDF format should be delivered by the student to all three readers and to [email protected] (which will forward to the Director of Undergraduate Studies) on or before that date. An electronic copy should also be submitted via the SEAS online submission tool on or before that date. SEAS will keep this electronic copy as a non-circulating backup. During this online submission process, the student will also have the option to make the electronic copy publicly available via DASH, Harvard’s open-access repository for scholarly work. Please note that the thesis will NOT be published to ProQuest. More information can be found on the SEAS Senior Thesis Submission page.

The two or three readers will receive a rating sheet to be returned to the Office of Academic Programs before the beginning of the Reading Period, together with their copy of the thesis and any remarks to be transmitted to the student.

Late May The Office of Academic Programs will send students their comments after the degree meeting to decide honors recommendations.

Thesis Extensions and Late Submissions

Thesis extensions Thesis extensions will be granted in extraordinary circumstances, such as hospitalization or grave family emergency, with the support of the thesis advisor and resident dean and the agreement of all readers. For joint concentrators, the other concentration should also support the extension. To request an extension, please have your advisor or resident dean email [email protected] , ideally several business days in advance, so that we may follow up with readers. Please note that any extension must be able to fall within our normal grading, feedback, and degree recommendation deadline, so extensions of more than a few days are usually impossible.

Late submissions Late submission of thesis work should be avoided. Work that is late will ordinarily not be eligible for thesis prizes like the Hoopes Prize. Theses submitted late will ordinarily be penalized one full level of honors (highest honors, high honors, honors, no honors) per day late or part thereof, including weekends, so a thesis submitted two days and one minute late is ordinarily ineligible to receive honors. Penalties will be waived only in extraordinary cases, such as documented medical illness or grave family emergency; students should consult with the Directors of Undergraduate Studies in that event. Missed alarm clocks, crashed computers, slow printers, corrupted files, and paper jams are not considered valid causes for extensions.

Thesis Examples

Recent thesis examples can be found on the Harvard DASH (Digital Access to Scholarship at Harvard) repository here . Examples of Mind, Brain, Behavior theses are here .

Spectral Sparsification: The Barrier Method and its Applications

Martin Camacho, Advisor: Jelani Nelson

Good Advice Costs Nothing and it’s Worth the Price: Incentive Compatible Recommendation Mechanisms for Exploring Unknown Options

Perry Green, Advisor: Yiling Chen

Better than PageRank: Hitting Time as a Reputation Mechanism

Brandon Liu, Advisor: David Parkes

Tree adjoining grammar at the interfaces

Nicholas Longenbaugh, Advisor: Stuart Shieber

SCHUBOT: Machine Learning Tools for the Automated Analysis of Schubert’s Lieder

Dylan Nagler, Advisor: Ryan Adams

Learning over Molecules: Representations and Kernels

Jimmy Sun, Advisor: Ryan Adams

Towards the Quantum Machine: Using Scalable Machine Learning Methods to Predict Photovoltaic Efficacy of Organic Molecules

Michael Tingley, Advisor: Ryan Adams

Writing Your Thesis

At this page, we provide some information necessary while writing a thesis. Basically, the same rules can be applied for any other scientific paperwork. We must admit that this information collected here is neither complete nor represents it a general rule set. Nevertheless, we try to keep it up-to-date and comprehensive. If you have comments or suggestions, please drop me a short note.

Presentation Templates

The FAU provide templates for your presentations here

LaTeX Template

We provide a template for your thesis: Download (new 27. July 2022) .
Please try to stick with this layout.

General Rules and Hints

How to write an abstract
Motivation (Why do we care?)
Problem statement (What problem are we trying to solve?)
Approach (How did we go about it)
Results (What’s the answer?)
Conclusion (What are the implications of the answer?)
Context: make sure to link where your work fits in
Problem: gap in knowledge, too expensive, too slow, a deficiency, superseded technology
Strategy: the way you will address the problem
comment on employed hardware and software
describe methods and techniques that build the basis of your work
review related work(!)
start with a theoretical approach
describe the developed system/algorithm/method from a high-level point of view
go ahead in presenting your developments in more detail
whatever you have done, you must comment it, compare it to other systems, evaluate it
usually, adequate graphs help to show the benefits of your approach
caution: each result/graph must be discussed! what’s the reason for this peak or why have you ovserved this effect
summarize again what your paper did, but now emphasize more the results, and comparisons
write conclusions that can be drawn from the results found and the discussion presented in the paper
future work (be very brief, explain what, but not much how)
all papers and articles used in the thesis must be cited (and each reference must be used in the thesis!)
a rough number is 20 references for a bachelor thesis and 30-40 for a master’s thesis
avoid to cite web sites
We highly recommend to use Endnote or BibTeX for creating the references and citings
Further information: IEEE Rules , BibTeX
Avoid passive voice, active voice is easier to read. There is nothing wrong saying I (or we) did it
Avoid negative sentences: write in a positive (affirmative) voice, they are easier to understand.
Always use vector graphics for figures (PDF, EPS, …)
Did I spell out the main points of the interpretation of results?
Are all equations, figures, tables numbered?
Do all graphs, tables, diagrams have descriptive captions?
Are all axes and scale carefully chosen to show the relevant effects?
Are all axes labelled? Do the labals include the measurement units?
Are citations in the caption (if a graph is borrowed)?

MS in Computer Science (Thesis Option)

Overview of degree.

The Master’s of Science degree in Computer Science (Thesis Option) at The University of Georgia is a comprehensive program of study intended to give qualified and motivated students a thorough foundation in the theory, methodology, and techniques of Computer Science. Students who successfully complete this program of study will have a grasp of the principles and foundations of Computer Science. They will be prepared to pursue higher academic goals, including the Doctor of Philosophy degree. They will obtain skills and experience in up-to-date approaches to analysis, design, implementation, validation, and documentation of computer software and hardware. With these skills they will be well qualified for technical, professional, or managerial positions in government, business, industry, and education.

Prospective students are advised to consult The University of Georgia Graduate Bulletin for institutional information and requirements.

Admission Requirements

In addition to the general University of Georgia policies set forth in the Graduate Bulletin, the following school policies apply to all applicants:

1. A Bachelor’s Degree is required, preferably with a major in Computer Science or an allied discipline. Students with insufficient background in Computer Science must take undergraduate Computer Science courses to remedy any deficiencies (in addition to their graduate program). A sufficient background in Computer Science must include at least the following courses (or their equivalent):

2. Admission to this program is selective; students with a record of academic excellence have a better chance of acceptance. Students with exceptionally strong undergraduate records may apply for admission to the graduate program prior to fulfilling all of the above requirements.

3. Graduate Record Examination (GRE) test scores are required for admission consideration. International applicants also need TOEFL or IELTS official test scores. GRE waiver is not provided.

4. Three letters of recommendation are required, preferably written by university professors familiar with the student's academic work and potential. If the student has work experience, one letter may be from his/her supervisor. Letters should be sent directly from the letter writer.

5. A one- or two-page personal statement outlining the student's background, achievements, and future goals is required.

6. A recent copy of a resume is required.

Graduate School Requirements

Additional requirements are specified by the Graduate School (application fee, general application forms, all transcripts, etc.). Please see the University of Georgia Bulletin for further information. Detailed admissions information may be found at Graduate School Admissions. Printed information may be obtained by contacting the

University of Georgia Graduate School Brooks Hall 310 Herty Drive Athens, GA 30602 phone: 706-542-1739 fax: 706-425-3094 e-mail: [email protected]

Applications are processed on a year round basis. Students can be admitted for either semester (Fall or Spring). Please visit the Graduate School for application submission deadlines.

The curriculum consists of at least 30 credit hours of resident graduate coursework. This includes the following five items:

at least 12 credit hours of Core CSCI graduate coursework at the 6000-level (see “Core Curriculum” below);
at least 8 credit hours of Advanced CSCI graduate coursework at the 6000/8000- level (see “Advanced Coursework” below); the above (items 1 & 2) must include 12 credit hours of coursework open only to graduate students, exclusive of 6950 and 8990, as per Graduate School Policy; @6000 level must be graduate student only course and not used in the core curriculum.
at least 1 credit hour of CSCI 8990 Research Seminar (see “Research Seminar” below);
at least 6 credit hours of CSCI 7000 Master’s Research (see Master’s Research below);
at least 3 credit hours of CSCI 7300 Master's Thesis (see Master's Thesis below)

Typically, full-time students will take 9 to 15 hours per semester. See the CSCI section of the University of Georgia Bulletin for course descriptions. A program of study should be a coherent and logical whole; it requires the approval of the student's major professor, the student's advisory committee, and the school's graduate coordinator.

Note: no course with a grade of C+ or lower may be included on the student’s Program of Study (see the Graduate Bulletin for other GPA constraints).

Core Curriculum (Item #1)

At least one course from each of the following three groups must be taken:

Group 1: Theory

CSCI 6470 Algorithms CSCI 6480 Approximation Algorithms CSCI 6610 Automata and Formal Languages

Group 2: Software Design

CSCI 6050 Software Engineering CSCI 6370 Database Management CSCI 6570 Compilers

Group 3: System Design

CSCI 6720 Computer Systems Architecture CSCI 6730 Operating Systems CSCI 6760 Computer Networks: Technology and Application CSCI 6780 Distributed Computing Systems

The core curriculum consists of a total of 12 graduate credit hours.

Core Competency

Foundational computer science knowledge (core competency) in the core areas (Groups 1, 2, and 3, above) must be exhibited by each student and certified by the student’s advisory committee. This takes the form of achievement in core curriculum and completion of a short essay in their chosen area of research demonstrating technical writing and organization skills. A grade average of at least 3.30 (e.g., B+, B+, B+) must be achieved for the three core courses. Students below this average may take an additional core course and achieve a grade average of at least 3.15 (e.g., B+, B+, B, B).

Core competency is certified by the unanimous approval of the student's Advisory Committee as well as the approval by the Graduate Coordinator. The student’s advisory committee manages the core competency in cooperation with the student. Students are required to meet the core competency requirement within their first two enrolled academic semesters (excluding summer semester). Core Competency Certification must be completed before approval of the Program of Study.

Note: a course used to fulfill part of the core requirement (Item #1) may not be used to also fulfill part of the advanced coursework requirement (Item #2).

Advanced Coursework (Item #2)

Students must take at least 8 credit hours of advanced CSCI graduate student only coursework. This includes at least 4 credit hours at the 8000-level (i.e., at least one 8000-level course).

Note: a student may satisfy this 8 hour requirement using only 8000-level courses, or with 4 hours of 8000-level coursework and 4 hours of 6000-level coursework. In the case that a student uses a 6000-level course for advanced coursework, that course must be a graduate student only course . In no case shall a 6000-level course used to fulfill part of the advanced coursework requirement count toward the advanced coursework requirement AND the core curriculum requirement. In addition, neither CSCI 8990 nor CSCI 6950 may be used to fulfill this requirement.

Research Seminar (Item #3)

All students must take 1 credit hour of CSCI 8990 Research Seminar, in which they must attend weekly meetings of a research seminar and give presentations.

Master’s Research (Item #4)

The Master's research involves the student's investigations under the supervision of his/her major professor and requires the approval of the major professor and the advisory committee. The Master's research often includes original research into some area of Computer Science. It must demonstrate mastery of a particular area of Computer Science. The candidate's advisory committee assures that the quality of the research meets the standards of the School of Computing and the Graduate School. The candidate must register for CSCI 7000 Master's Research for at least 6 credit hours while working on the project.

Master's Thesis (Item #5)

The thesis is a report of the student's investigations under the supervision of his/her major professor and requires the approval of the major professor and the advisory committee. The thesis must demonstrate competent style and organization, and communicate technical knowledge. The thesis often includes original research into some area of Computer Science. It must demonstrate mastery of a particular area of Computer Science. The candidate's advisory committee assures that the quality of the thesis meets the standards of the School of Computing and the Graduate School. The candidate must register for CSCI 7300 Master's Thesis for at least 3 credit hours while working on the thesis.

Advisory Committee

The advisory committee will consist of one major professor and two additional members. At least two of the three members must be from the School of Computing.

Non-Departmental Requirements

Non-departmental requirements are set forth by the Graduate School (see the Graduate Bulletin). They concern residence, time limits, programs of study, acceptance of transfer credits, minimum GPAs, thesis, and thesis defense examination.

Graduation Requirements

A student admitted to the M.S. degree program will be advised by the graduate coordinator until a major professor is chosen.

Before the end of the second semester in residence, a student must begin submitting to the Graduate School, through the graduate coordinator, the following forms: (i) a Program of Study Form and (ii) an Advisory Committee Form. The Program of Study Form indicates how and when degree requirements will be met and must be formulated in consultation with the student's major professor. An Application for Graduation Form must also be submitted directly to the Graduate School.

Forms and Timing must be submitted as follows:

Advisory Committee Form (G130) - end of second semester
Core Competency Form (Departmental) - beginning of third semester
Program of Study Form (G138) – semester before the student’s last semester
Application for Graduation Form ( in Athena) - beginning of last semester
Approval Form for Master's Thesis (G 140) - last semester
ETD Submission Approval Form (G129) - last semester

See “Important Dates and Deadlines” on the Graduate School’s website.

Thesis Defense

After all coursework has been completed and the thesis has been approved by the student's major professor, the thesis is transmitted to the advisory committee at least two weeks before the thesis defense date. The thesis defense is an oral examination conducted by the student's advisory committee. All members of the advisory committee must be present at the defense. The advisory committee members including the major professor must vote on whether the student passed the defense and record their votes on the Approval Form for Master's Thesis, Defense. To pass the exam, at least two of the three votes must be passing.

Need more guidance?

Dr. Liming Cai and Dr. Kyu H. Lee Graduate Coordinator [email protected] (706) 542-2 911

Samantha Varghese Graduate Student Affairs Coordinator [email protected] 706) 542-3477

Would you like to download the information presented on this page?

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Thesis-BASED MS Rules & Checklists

Coursework requirements for thesis-based ms.

Thesis-based MS students must use the following form to plan and record their course work towards fulfilling the requirements of the degree.

Graduate Work Recording Form & Requirements - PDF Graduate Work Recording Form & Requirements - DOC

Course Work

To meet the background, depth and breadth requirements (as mentioned in the form), students will need to consult the mapping between courses and their areas of study .

For thesis-based MS, thirty (30) credit-hours are required, no more than six (06) of which may be thesis credit. No more than 12 credit-hours may be at the 5000 level.

Thesis/Dissertation

Thesis-based MS students must complete a thesis/dissertation under the supervision of a faculty member (i.e., thesis advisor/major professor) and a thesis examination committee. A thesis-based MS student must enroll in CSCI-7000 (Thesis Research) for at least six credit hours. With approval from thesis advisor (aka, major professor), the student must write an MS thesis and submit it to the thesis examination committee at least two weeks before the proposed date of thesis defense. The first announcement of a thesis defense public presentation must be made at least one week before the defense date. Upon successful completion of thesis defense, the student/candidate must initiate the electronic paperwork to confirm and record completion of the thesis defense.

For graduation, a student must also meet the requirements and deadlines set by the graduate school, which can be found here:

http://www.uno.edu/academics/grad/masters-degree-requirements

Especially pay attention to the deadlines mentioned in the THESIS CHECKLIST, the link to which is available at the top-left part of the page.

Before applying for graduation, a copy of the completed form must be submitted to the department (graduate coordinator). If submitted by email, the subject must be exactly "MS Checklist".

Admission Requirements

How to Apply

Degree Requirements

Non-Thesis Checklist & Rules

Thesis Checklist & Rules

Graduate Coordinator: Dr. Christopher Summa

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Recent CS Masters Theses

The following is a list of some of the recently completed CS Masters Theses.

The M.S. Thesis Track

The MS Thesis track is for students who want to concentrate on research in some sub-field of Computer Science. You are required to arrange for a Computer Science Faculty member who agrees to advise the thesis and the rest of your course selection prior to selecting the track.

SUMMARY OF REQUIREMENTS

Complete a total of 30 points (Courses must be at the 4000 level or above)
Maintain at least a 2.7 overall GPA. (No more than 1 D is permitted).
Complete the Columbia Engineering Professional Development & Leadership (PDL) requirement
Satisfy breadth requirements
Take at least 6 points of technical courses at the 6000 level
At most, up to 3 points of your degree can be Non-CS/Non-track If they are deemed relevant to your track and sufficiently technical in nature. Submit the Non-CS/NonTrack form and the course syllabus to your CS Faculty Advisor for review

1. BREADTH REQUIREMENT

Visit the breadth requirement page for more information.

2. REQUIRED TRACK COURSES (9 credits)

Students must take 9 credits of COMS E6902 Thesis. The points are typically spread over multiple semesters, e.g., 3 points each for 3 semesters or 4.5 points each for 2 semesters. No more than 9 points of E6902 may be taken. Sign up for the section number of E6902 associated with your thesis advisor.

3. ELECTIVE TRACK COURSES

Students are required to complete 9 elective credits of graduate courses (4000-level or above) selected from Computer Science and/or related areas together with your faculty thesis advisor. These would normally be strongly related to your thesis topic.

Up to 3 of these points may be in COMS E6901 Projects in Computer Science.

Please note:

The degree progress checklist should be used to keep track of your requirements. if you have questions for your track advisor or cs advising, you should have an updated checklist prepared, due to a significant overlap in course material, ms students not in the machine learning track can only take 1 of the following courses – coms 4771, coms 4721, elen 4903, ieor 4525, stat 4240, stat 4400/4241/5241 – as part of their degree requirements, the elective track courses cannot be imported from another institution., 4. general electives.

Students must complete the remaining credits of General Elective Courses at the 4000 level or above. At least three of these points must be chosen from either the Track Electives listed above or from the CS department at the 4000 level or higher.

Students may also request to use at most 3 points of Non-CS/Non-Track coursework if approved by the process listed below.

5. THESIS DEFENSE

A thesis proposal is presented to your thesis committee at least three months before your defense. Your thesis committee should have three members. Two of them must be internal, but one can be an outsider. Please bring the thesis defense form to your defense. Once completed, please submit the form to CS Advising via email: [email protected].

The thesis cannot be imported from another institution.

A publication-quality thesis document is also published as a CS department technical report. Once completed, please upload your thesis into MICE.

PROGRAM PLANNING

Please visit the Directory of Classes to get the updated course listings. Please also note that not all courses are offered every semester or even every year. A few courses are offered only once every two or three years or even less frequently.

Updated: 3/26/2024

Find open faculty positions here .

Computer Science at Columbia University

Upcoming events, last day of classes.

Monday 10:00 am

Class Day Graduate Ceremony

Sunday 3:00 pm

South Lawn, Morningside Campus

Class Day Undergraduate Ceremony

Monday 11:45 am

CS Awards Ceremony and Celebration

Monday 1:00 pm

CSB 451 CS Auditorium

In the News

Press mentions, dean boyce's statement on amicus brief filed by president bollinger.

President Bollinger announced that Columbia University along with many other academic institutions (sixteen, including all Ivy League universities) filed an amicus brief in the U.S. District Court for the Eastern District of New York challenging the Executive Order regarding immigrants from seven designated countries and refugees. Among other things, the brief asserts that “safety and security concerns can be addressed in a manner that is consistent with the values America has always stood for, including the free flow of ideas and people across borders and the welcoming of immigrants to our universities.”

This recent action provides a moment for us to collectively reflect on our community within Columbia Engineering and the importance of our commitment to maintaining an open and welcoming community for all students, faculty, researchers and administrative staff. As a School of Engineering and Applied Science, we are fortunate to attract students and faculty from diverse backgrounds, from across the country, and from around the world. It is a great benefit to be able to gather engineers and scientists of so many different perspectives and talents – all with a commitment to learning, a focus on pushing the frontiers of knowledge and discovery, and with a passion for translating our work to impact humanity.

I am proud of our community, and wish to take this opportunity to reinforce our collective commitment to maintaining an open and collegial environment. We are fortunate to have the privilege to learn from one another, and to study, work, and live together in such a dynamic and vibrant place as Columbia.

Mary C. Boyce Dean of Engineering Morris A. and Alma Schapiro Professor

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Home > School, College, or Department > MCECS > Computer Science > Dissertations and Theses

Computer Science Dissertations and Theses

Theses/dissertations from 2024 2024.

MmWave RAT Optimization: MAC Layer Initial Access Design and Transport Layer Integration , Suresh Srinivasan (Dissertation)

Theses/Dissertations from 2023 2023

Seeing in the Dark: Towards Robust Pedestrian Detection at Nighttime , Afnan Althoupety (Dissertation)

A Deep Hierarchical Variational Autoencoder for World Models in Complex Reinforcement Learning Environments , Sriharshitha Ayyalasomayajula (Thesis)

Toward Efficient Rendering: A Neural Network Approach , Qiqi Hou (Dissertation)

Energy Auction with Non-Relational Persistence , Michael Ramez Howard (Thesis)

Implementing a Functional Logic Programming Language via the Fair Scheme , Andrew Michael Jost (Dissertation)

Multi-Agent Deep Reinforcement Learning for Radiation Localization , Benjamin Scott Totten (Thesis)

Theses/Dissertations from 2022 2022

Using Intrinsically-Typed Definitional Interpreters to Verify Compiler Optimizations in a Monadic Intermediate Language , Dani Barrack (Thesis)

An Automated Zoom Class Session Analysis Tool to Improve Education , Jack Arlo Cannon II (Thesis)

Scaling EPA-RIMM with Multicore System Management Interrupt Handlers , Alexander K. Freed (Thesis)

Unpaired Style Transfer Conditional Generative Adversarial Network for Scanned Document Generation , David Jonathan Hawbaker (Thesis)

Toward Analyzing the Diversity of Extractive Summaries , Aaron David Hudson (Thesis)

Making Curry with Rice: An Optimizing Curry Compiler , Steven Libby (Dissertation)

Domain Knowledge as Motion-Aware Inductive Bias for Deep Video Synthesis: Two Case Studies , Long Mai (Dissertation)

Theses/Dissertations from 2021 2021

Efficient Neuromorphic Algorithms for Gamma-Ray Spectrum Denoising and Radionuclide Identification , Merlin Phillip Carson (Thesis)

Storing Intermediate Results in Space and Time: SQL Graphs and Block Referencing , Basem Ibrahim Elazzabi (Dissertation)

Automated Test Generation for Validating SystemC Designs , Bin Lin (Dissertation)

Forecasting Optimal Parameters of the Broken Wing Butterfly Option Strategy Using Differential Evolution , David Munoz Constantine (Thesis)

Situate: An Agent-Based System for Situation Recognition , Max Henry Quinn (Dissertation)

Theses/Dissertations from 2020 2020

Multiple Diagram Navigation , Hisham Benotman (Dissertation)

Smart Contract Vulnerabilities on the Ethereum Blockchain: a Current Perspective , Daniel Steven Connelly (Thesis)

Extensible Performance-Aware Runtime Integrity Measurement , Brian G. Delgado (Dissertation)

Novel View Synthesis - a Neural Network Approach , Hoang Le (Dissertation)

Exploring the Potential of Sparse Coding for Machine Learning , Sheng Yang Lundquist (Dissertation)

Workflow Critical Path: a Data-Oriented Path Metric for Holistic HPC Workflows , Daniel D. Nguyen (Thesis)

Novel View Synthesis in Time and Space , Simon Niklaus (Dissertation)

Balancing Security, Performance and Deployability in Encrypted Search , David Joel Pouliot (Dissertation)

Theses/Dissertations from 2019 2019

A Secure Anti-Counterfeiting System using Near Field Communication, Public Key Cryptography, Blockchain, and Bayesian Games , Naif Saeed Alzahrani (Dissertation)

Spectral Clustering for Electrical Phase Identification Using Advanced Metering Infrastructure Voltage Time Series , Logan Blakely (Thesis)

Local Radiance , Scott Peter Britell (Dissertation)

Correct-by-Construction Typechecking with Scope Graphs , Katherine Imhoff Casamento (Thesis)

Versatile Binary-level Concolic Testing , Bo Chen (Dissertation)

Crumpled and Abraded Encryption: Implementation and Provably Secure Construction , Scott Sherlock Griffy (Thesis)

Knowing Without Knowing: Real-Time Usage Identification of Computer Systems , Leila Mohammed Hawana (Thesis)

Design and Experimental Evaluation of DeepMarket: an Edge Computing Marketplace with Distributed TensorFlow Execution Capability , Soyoung Kim (Thesis)

Localizing Little Landmarks with Transfer Learning , Sharad Kumar (Thesis)

Context-Aware Wi-Fi Infrastructure-based Indoor Positioning Systems , Huy Phuong Tran (Dissertation)

Theses/Dissertations from 2018 2018

Bounding Box Improvement with Reinforcement Learning , Andrew Lewis Cleland (Thesis)

Sensing Building Structure Using UWB Radios for Disaster Recovery , Jeong Eun Lee (Dissertation)

Annotation-Enabled Interpretation and Analysis of Time-Series Data , Niveditha Venugopal (Thesis)

EPA-RIMM-V: Efficient Rootkit Detection for Virtualized Environments , Tejaswini Ajay Vibhute (Thesis)

Theses/Dissertations from 2017 2017

Improved Scoring Models for Semantic Image Retrieval Using Scene Graphs , Erik Timothy Conser (Thesis)

Refining Bounding-Box Regression for Object Localization , Naomi Lynn Dickerson (Thesis)

Fully Generic Programming Over Closed Universes of Inductive-Recursive Types , Larry Diehl (Dissertation)

Communicating at Terahertz Frequencies , Farnoosh Moshirfatemi (Dissertation)

Designing In-Headset Authoring Tools for Virtual Reality Video , Cuong Nguyen (Dissertation)

Certifying Loop Pipelining Transformations in Behavioral Synthesis , Disha Puri (Dissertation)

Power-Aware Datacenter Networking and Optimization , Qing Yi (Dissertation)

Theses/Dissertations from 2016 2016

Identifying Relationships between Scientific Datasets , Abdussalam Alawini (Dissertation)

Information Representation and Computation of Spike Trains in Reservoir Computing Systems with Spiking Neurons and Analog Neurons , Amin Almassian (Thesis)

Investigations of an "Objectness" Measure for Object Localization , Lewis Richard James Coates (Thesis)

Image Stitching: Handling Parallax, Stereopsis, and Video , Fan Zhang (Dissertation)

Theses/Dissertations from 2015 2015

Novel Methods for Learning and Adaptation in Chemical Reaction Networks , Peter Banda (Dissertation)

Post-silicon Functional Validation with Virtual Prototypes , Kai Cong (Dissertation)

Novel Cryptographic Primitives and Protocols for Censorship Resistance , Kevin Patrick Dyer (Dissertation)

Hardware/Software Interface Assurance with Conformance Checking , Li Lei (Dissertation)

Leveraging Contextual Relationships Between Objects for Localization , Clinton Leif Olson (Thesis)

The Performance of Random Prototypes in Hierarchical Models of Vision , Kendall Lee Stewart (Thesis)

Tweakable Ciphers: Constructions and Applications , Robert Seth Terashima (Dissertation)

Scalable Equivalence Checking for Behavioral Synthesis , Zhenkun Yang (Dissertation)

Theses/Dissertations from 2014 2014

The Nax Language: Unifying Functional Programming and Logical Reasoning in a Language based on Mendler-style Recursion Schemes and Term-indexed Types , Ki Yung Ahn (Dissertation)

Using Spammers' Computing Resources for Volunteer Computing , Thai Le Quy Bui (Thesis)

Towards Constructing Interactive Virtual Worlds , Francis Chang (Dissertation)

System-wide Performance Analysis for Virtualization , Deron Eugene Jensen (Thesis)

Advances in Piecewise Smooth Image Reconstruction , Ralf Juengling (Dissertation)

Interpretable Machine Learning and Sparse Coding for Computer Vision , Will Landecker (Dissertation)

Optimizing Data Movement in Hybrid Analytic Systems , Patrick Michael Leyshock (Dissertation)

Ranked Similarity Search of Scientific Datasets: An Information Retrieval Approach , Veronika Margaret Megler (Dissertation)

Using GIST Features to Constrain Search in Object Detection , Joanna Browne Solmon (Thesis)

The Role of Prototype Learning in Hierarchical Models of Vision , Michael David Thomure (Dissertation)

Theses/Dissertations from 2013 2013

Object Detection and Recognition in Natural Settings , George William Dittmar (Thesis)

Trust-but-Verify: Guaranteeing the Integrity of User-generated Content in Online Applications , Akshay Dua (Dissertation)

Equivalence Checking for High-Assurance Behavioral Synthesis , Kecheng Hao (Dissertation)

Type Classes and Instance Chains: A Relational Approach , John Garrett Morris (Dissertation)

Theses/Dissertations from 2012 2012

Using Dataflow Optimization Techniques with a Monadic Intermediate Language , Justin George Bailey (Thesis)

A Survey and Analysis of Solutions to the Oblivious Memory Access Problem , Erin Elizabeth Chapman (Thesis)

A Data-Descriptive Feedback Framework for Data Stream Management Systems , Rafael J. Fernández Moctezuma (Dissertation)

Extending Relativistic Programming to Multiple Writers , Philip William Howard (Dissertation)

The Basic Scheme for the Evaluation of Functional Logic Programs , Arthur Peters (Thesis)

The Link Between Image Segmentation and Image Recognition , Karan Sharma (Thesis)

Relativistic Causal Ordering A Memory Model for Scalable Concurrent Data Structures , Josh Triplett (Dissertation)

Theses/Dissertations from 2011 2011

Conceptual Modeling of Data with Provenance , David William Archer (Dissertation)

Low-latency Estimates for Window-Aggregate Queries over Data Streams , Amit Bhat (Thesis)

Information Processing in Two-Dimensional Cellular Automata , Martin Cenek (Dissertation)

Scalable and Efficient Tasking for Dynamic Sensor Networks , Thanh Xuan Dang (Dissertation)

On the Effect of Topology on Learning and Generalization in Random Automata Networks , Alireza Goudarzi (Thesis)

HOLCF '11: A Definitional Domain Theory for Verifying Functional Programs , Brian Charles Huffman (Dissertation)

A Functional Approach to Memory-Safe Operating Systems , Rebekah Leslie (Dissertation)

Factoring Semiprimes Using PG2N Prime Graph Multiagent Search , Keith Eirik Wilson (Thesis)

High Speed Wireless Networking for 60GHz , Candy Yiu (Dissertation)

Theses/Dissertations from 2010 2010

Extensible Scheduling in a Haskell-based Operating System , Kenneth William Graunke (Thesis)

Addressing Automated Adversaries of Network Applications , Edward Leo Kaiser (Dissertation)

An Automata-Theoretic Approach to Hardware/Software Co-verification , Juncao Li (Dissertation)

Practical Type Inference for the GADT Type System , Chuan-kai Lin (Dissertation)

Scalable event tracking on high-end parallel systems , Kathryn Marie Mohror (Dissertation)

Performance Analysis of Hybrid CPU/GPU Environments , Michael Shawn Smith (Thesis)

Theses/Dissertations from 2009 2009

Computational Techniques for Reducing Spectra of the Giant Planets in Our Solar System , Holly L. Grimes (Thesis)

Programmer Friendly Refactoring Tools , Emerson Murphy-Hill (Dissertation)

A Framework for Superimposed Applications : Techniques to Represent, Access, Transform, and Interchange Bi-level Information , Sudarshan Srivivasa Murthy (Dissertation)

Graphical User Interfaces as Updatable Views , James Felger Terwilliger (Dissertation)

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Home > Engineering > Computer Science > Computer Science Graduate Projects

Computer Science Graduate Projects and Theses

Theses/dissertations from 2023 2023.

High-Performance Domain-Specific Library for Hydrologic Data Processing , Kalyan Bhetwal

Verifying Data Provenance During Workflow Execution for Scientific Reproducibility , Rizbanul Hasan

Remote Sensing to Advance Understanding of Snow-Vegetation Relationships and Quantify Snow Depth and Snow Water Equivalent , Ahmad Hojatimalekshah

Exploring the Capability of a Self-Supervised Conditional Image Generator for Image-to-Image Translation without Labeled Data: A Case Study in Mobile User Interface Design , Hailee Kiesecker

Fake News Detection Using Narrative Content and Discourse , Hongmin Kim

Anomaly Detection Using Graph Neural Network , Bishal Lakha

Sparse Format Conversion and Code Synthesis , Tobi Goodness Popoola

Portable Sparse Polyhedral Framework Code Generation Using Multi Level Intermediate Representation , Aaron St. George

Severity Measures for Assessing Error in Automatic Speech Recognition , Ryan Whetten

Theses/Dissertations from 2022 2022

Improved Computational Prediction of Function and Structural Representation of Self-Cleaving Ribozymes with Enhanced Parameter Selection and Library Design , James D. Beck

Meshfree Methods for PDEs on Surfaces , Andrew Michael Jones

Deep Learning of Microstructures , Amir Abbas Kazemzadeh Farizhandi

Long-Term Trends in Extreme Environmental Events with Changepoint Detection , Mintaek Lee

Structure Aware Smart Encoding and Decoding of Information in DNA , Shoshanna Llewellyn

Towards Making Transformer-Based Language Models Learn How Children Learn , Yousra Mahdy

Ontology-Based Formal Approach for Safety and Security Verification of Industrial Control Systems , Ramesh Neupane

Improving Children's Authentication Practices with Respect to Graphical Authentication Mechanism , Dhanush Kumar Ratakonda

Hate Speech Detection Using Textual and User Features , Rohan Raut

Automated Detection of Sockpuppet Accounts in Wikipedia , Mostofa Najmus Sakib

Characterization and Mitigation of False Information on the Web , Anu Shrestha

Sinusoidal Projection for 360° Image Compression and Triangular Discrete Cosine Transform Impact in the JPEG Pipeline , Iker Vazquez Lopez

Theses/Dissertations from 2021 2021

Training Wheels for Web Search: Multi-Perspective Learning to Rank to Support Children's Information Seeking in the Classroom , Garrett Allen

Fair and Efficient Consensus Protocols for Secure Blockchain Applications , Golam Dastoger Bashar

Why Don't You Act Your Age?: Recognizing the Stereotypical 8-12 Year Old Searcher by Their Search Behavior , Michael Green

Ensuring Consistency and Efficiency of the Incremental Unit Network in a Distributed Architecture , Mir Tahsin Imtiaz

Modeling Real and Fake News Sharing in Social Networks , Abishai Joy

Modeling and Analyzing Users' Privacy Disclosure Behavior to Generate Personalized Privacy Policies , A.K.M. Nuhil Mehdy

Into the Unknown: Exploration of Search Engines' Responses to Users with Depression and Anxiety , Ashlee Milton

Generating Test Inputs from String Constraints with an Automata-Based Solver , Marlin Roberts

A Case Study in Representing Scientific Applications ( GeoAc ) Using the Sparse Polyhedral Framework , Ravi Shankar

Actors for the Internet of Things , Arjun Shukla

Theses/Dissertations from 2020 2020

Towards Unifying Grounded and Distributional Semantics Using the Words-as-Classifiers Model of Lexical Semantics , Stacy Black

Improving Scientist Productivity, Architecture Portability, and Performance in ParFlow , Michael Burke

Polyhedral+Dataflow Graphs , Eddie C. Davis

Improving Spellchecking for Children: Correction and Design , Brody Downs

A Collection of Fast Algorithms for Scalar and Vector-Valued Data on Irregular Domains: Spherical Harmonic Analysis, Divergence-Free/Curl-Free Radial Basis Functions, and Implicit Surface Reconstruction , Kathryn Primrose Drake

Privacy-Preserving Protocol for Atomic Swap Between Blockchains , Kiran Gurung

Unsupervised Structural Graph Node Representation Learning , Mikel Joaristi

Detecting Undisclosed Paid Editing in Wikipedia , Nikesh Joshi

Do You Feel Me?: Learning Language from Humans with Robot Emotional Displays , David McNeill

Obtaining Real-World Benchmark Programs from Open-Source Repositories Through Abstract-Semantics Preserving Transformations , Maria Anne Rachel Paquin

Content Based Image Retrieval (CBIR) for Brand Logos , Enjal Parajuli

A Resilience Metric for Modern Power Distribution Systems , Tyler Bennett Phillips

Theses/Dissertations from 2019 2019

Edge-Assisted Workload-Aware Image Processing System , Anil Acharya

MINOS: Unsupervised Netflow-Based Detection of Infected and Attacked Hosts, and Attack Time in Large Networks , Mousume Bhowmick

Deviant: A Mutation Testing Tool for Solidity Smart Contracts , Patrick Chapman

Querying Over Encrypted Databases in a Cloud Environment , Jake Douglas

A Hybrid Model to Detect Fake News , Indhumathi Gurunathan

Suitability of Finite State Automata to Model String Constraints in Probablistic Symbolic Execution , Andrew Harris

UNICORN Framework: A User-Centric Approach Toward Formal Verification of Privacy Norms , Rezvan Joshaghani

Detection and Countermeasure of Saturation Attacks in Software-Defined Networks , Samer Yousef Khamaiseh

Secure Two-Party Protocol for Privacy-Preserving Classification via Differential Privacy , Manish Kumar

Application-Specific Memory Subsystem Benchmarking , Mahesh Lakshminarasimhan

Multilingual Information Retrieval: A Representation Building Perspective , Ion Madrazo

Improved Study of Side-Channel Attacks Using Recurrent Neural Networks , Muhammad Abu Naser Rony Chowdhury

Investigating the Effects of Social and Temporal Dynamics in Fitness Games on Children's Physical Activity , Ankita Samariya

BullyNet: Unmasking Cyberbullies on Social Networks , Aparna Sankaran

FALCON: Framework for Anomaly Detection In Industrial Control Systems , Subin Sapkota

Investigating Semantic Properties of Images Generated from Natural Language Using Neural Networks , Samuel Ward Schrader

Incremental Processing for Improving Conversational Grounding in a Chatbot , Aprajita Shukla

Estimating Error and Bias of Offline Recommender System Evaluation Results , Mucun Tian

Theses/Dissertations from 2018 2018

Leveraging Tiled Display for Big Data Visualization Using D3.js , Ujjwal Acharya

Fostering the Retrieval of Suitable Web Resources in Response to Children's Educational Search Tasks , Oghenemaro Deborah Anuyah

Privacy-Preserving Genomic Data Publishing via Differential Privacy , Tanya Khatri

Injecting Control Commands Through Sensory Channel: Attack and Defense , Farhad Rasapour

Strong Mutation-Based Test Generation of XACML Policies , Roshan Shrestha

Performance, Scalability, and Robustness in Distributed File Tree Copy , Christopher Robert Sutton

Using DNA For Data Storage: Encoding and Decoding Algorithm Development , Kelsey Suyehira

Detecting Saliency by Combining Speech and Object Detection in Indoor Environments , Kiran Thapa

Theses/Dissertations from 2017 2017

Identifying Restaurants Proposing Novel Kinds of Cuisines: Using Yelp Reviews , Haritha Akella

Editing Behavior Analysis and Prediction of Active/Inactive Users in Wikipedia , Harish Arelli

CloudSkulk: Design of a Nested Virtual Machine Based Rootkit-in-the-Middle Attack , Joseph Anthony Connelly

Predicting Friendship Strength in Facebook , Nitish Dhakal

Privacy-Preserving Trajectory Data Publishing via Differential Privacy , Ishita Dwivedi

Cultivating Community Interactions in Citizen Science: Connecting People to Each Other and the Environment , Bret Allen Finley

Uncovering New Links Through Interaction Duration , Laxmi Amulya Gundala

Variance: Secure Two-Party Protocol for Solving Yao's Millionaires' Problem in Bitcoin , Joshua Holmes

A Scalable Graph-Coarsening Based Index for Dynamic Graph Databases , Akshay Kansal

Integrity Coded Databases: Ensuring Correctness and Freshness of Outsourced Databases , Ujwal Karki

Editable View Optimized Tone Mapping For Viewing High Dynamic Range Panoramas On Head Mounted Display , Yuan Li

The Effects of Pair-Programming in a High School Introductory Computer Science Class , Ken Manship

Towards Automatic Repair of XACML Policies , Shuai Peng

Identification of Unknown Landscape Types Using CNN Transfer Learning , Ashish Sharma

Hand Gesture Recognition for Sign Language Transcription , Iker Vazquez Lopez

Learning to Code Music : Development of a Supplemental Unit for High School Computer Science , Kelsey Wright

Theses/Dissertations from 2016 2016

Identification of Small Endogenous Viral Elements within Host Genomes , Edward C. Davis Jr.

When the System Becomes Your Personal Docent: Curated Book Recommendations , Nevena Dragovic

Security Testing with Misuse Case Modeling , Samer Yousef Khamaiseh

Estimating Length Statistics of Aggregate Fried Potato Product via Electromagnetic Radiation Attenuation , Jesse Lovitt

Towards Multipurpose Readability Assessment , Ion Madrazo

Evaluation of Topic Models for Content-Based Popularity Prediction on Social Microblogs , Axel Magnuson

CEST: City Event Summarization using Twitter , Deepa Mallela

Developing an ABAC-Based Grant Proposal Workflow Management System , Milson Munakami

Phoenix and Hive as Alternatives to RDBMS , Diana Ornelas

Massively Parallel Algorithm for Solving the Eikonal Equation on Multiple Accelerator Platforms , Anup Shrestha

A Certificateless One-Way Group Key Agreement Protocol for Point-to-Point Email Encryption , Srisarguru Sridhar

Dynamic Machine Level Resource Allocation to Improve Tasking Performance Across Multiple Processes , Richard Walter Thatcher

Theses/Dissertations from 2015 2015

Developing an Application for Evolutionary Search for Computational Models of Cellular Development , Nicolas Scott Cornia

Accelerated Radar Signal Processing in Large Geophysical Datasets , Ravi Preesha Geetha

Integrity Coded Databases (ICDB) – Protecting Integrity for Outsourced Databases , Archana Nanjundarao

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Home > Sciences > Computer Science > ETDs

Computer Science Theses & Dissertations

Theses and dissertations published by graduate students in the Department of Computer Science, College of Sciences, Old Dominion University, since Fall 2016 are available in this collection. Backfiles of all dissertations (and some theses) have also been added.

In late Fall 2023 or Spring 2024, all theses will be digitized and available here. In the meantime, consult the Library Catalog to find older items in print.

Theses/Dissertations from 2023 2023

Dissertation: Inverse Mappers for QCD Global Analysis , Manal Almaeen

Thesis: Assessing the Prevalence and Archival Rate of URIs to Git Hosting Platforms in Scholarly Publications , Emily Escamilla

Thesis: Supporting Account-based Queries for Archived Instagram Posts , Himarsha R. Jayanetti

Dissertation: Detecting Malware With Securedeep Accelerator via Processor Side-Channel Fingerprinting for Internet of Things , Zhuoran Li

Dissertation: Tracing and Segmentation of Molecular Patterns in 3-Dimensional Cryo-ET/EM Density Maps Through Algorithmic Image Processing and Deep Learning-Based Techniques , Salim Sazzed

Dissertation: Towards Intelligent Runtime Framework for Distributed Heterogeneous Systems , Polykarpos Thomadakis

Theses/Dissertations from 2022 2022

Dissertation: Machine Learning-Based Event Generator , Yasir Alanazi

Thesis: Using Ensemble Learning Techniques to Solve the Blind Drift Calibration Problem , Devin Scott Drake

Dissertation: A Relevance Model for Threat-Centric Ranking of Cybersecurity Vulnerabilities , Corren G. McCoy

Dissertation: Evaluation of Generative Models for Predicting Microstructure Geometries in Laser Powder Bed Fusion Additive Manufacturing , Andy Ramlatchan

Thesis: TransParsCit: A Transformer-Based Citation Parser Trained on Large-Scale Synthesized Data , MD Sami Uddin

Dissertation: Towards Privacy and Security Concerns of Adversarial Examples in Deep Hashing Image Retrieval , Yanru Xiao

Theses/Dissertations from 2021 2021

Dissertation: MOVE: Mobile Observers Variants and Extensions , Ryan Florin

Dissertation: Improving Collection Understanding for Web Archives with Storytelling: Shining Light Into Dark and Stormy Archives , Shawn M. Jones

Dissertation: A Unified Framework for Parallel Anisotropic Mesh Adaptation , Christos Tsolakis

Theses/Dissertations from 2020 2020

Dissertation: MementoMap: A Web Archive Profiling Framework for Efficient Memento Routing , Sawood Alam

Dissertation: A Framework for Verifying the Fixity of Archived Web Resources , Mohamed Aturban

Thesis: Parallelization of the Advancing Front Local Reconnection Mesh Generation Software Using a Pseudo-Constrained Parallel Data Refinement Method , Kevin Mark Garner Jr.

Dissertation: Towards Dynamic Vehicular Clouds , Aida Ghazizadeh

Dissertation: Bootstrapping Web Archive Collections From Micro-Collections in Social Media , Alexander C. Nwala

Dissertation: Automatic Linear and Curvilinear Mesh Generation Driven by Validity Fidelity and Topological Guarantees , Jing Xu

Theses/Dissertations from 2019 2019

Dissertation: Expanding the Usage of Web Archives by Recommending Archived Webpages Using Only the URI , Lulwah M. Alkwai

Dissertation: Highly Accurate Fragment Library for Protein Fold Recognition , Wessam Elhefnawy

Dissertation: Scalable Parallel Delaunay Image-to-Mesh Conversion for Shared and Distributed Memory Architectures , Daming Feng

Dissertation: Aggregating Private and Public Web Archives Using the Mementity Framework , Matthew R. Kelly

Thesis: Enhancing Portability in High Performance Computing: Designing Fast Scientific Code with Longevity , Jason Orender

Thesis: Novel Use of Neural Networks to Identify and Detect Electrical Infrastructure Performance , Evan Pierre Savaria

Theses/Dissertations from 2018 2018

Dissertation: New Methods to Improve Protein Structure Modeling , Maha Abdelrasoul

Dissertation: Applying Machine Learning to Advance Cyber Security: Network Based Intrusion Detection Systems , Hassan Hadi Latheeth AL-Maksousy

Thesis: To Relive the Web: A Framework for the Transformation and Archival Replay of Web Pages , John Andrew Berlin

Thesis: Supporting Big Data at the Vehicular Edge , Lloyd Decker

Thesis: Deep Learning for Segmentation Of 3D Cryo-EM Images , Devin Reid Haslam

Dissertation: FlexStream: SDN-Based Framework for Programmable and Flexible Adaptive Video Streaming , Ibrahim Ben Mustafa

Thesis: Novel Technique for Gait Analysis Using Two Waist Mounted Gyroscopes , Ahmed Nasr

Dissertation: Leveraging Resources on Anonymous Mobile Edge Nodes , Ahmed Salem

Theses/Dissertations from 2017 2017

Dissertation: SenSys: A Smartphone-Based Framework for ITS applications , Abdulla Ahmed Alasaadi

Dissertation: ItsBlue: A Distributed Bluetooth-Based Framework for Intelligent Transportation Systems , Ahmed Awad Alghamdi

Dissertation: Finite Element Modeling Driven by Health Care and Aerospace Applications , Fotios Drakopoulos

Dissertation: Efficient Machine Learning Approach for Optimizing Scientific Computing Applications on Emerging HPC Architectures , Kamesh Arumugam Karunanithi

Thesis: Multi-GPU Accelerated High-Fidelity Simulations of Beam-Beam Effects in Particle Colliders , Naga Sai Ravi Teja Majeti

Theses/Dissertations from 2016 2016

Dissertation: Using Web Archives to Enrich the Live Web Experience Through Storytelling , Yasmin AlNoamany

Thesis: Magnopark, Smart Parking Detection Based on Cellphone Magnetic Sensor , Maryam Arab

Dissertation: Scripts in a Frame: A Framework for Archiving Deferred Representations , Justin F. Brunelle

Dissertation: Machine Learning Methods for Brain Image Analysis , Ahmed Fakhry

Dissertation: Novel Monte Carlo Methods for Large-Scale Linear Algebra Operations , Hao Ji

Dissertation: Machine Learning Methods for Medical and Biological Image Computing , Rongjian Li

Dissertation: Toward Open and Programmable Wireless Network Edge , Mostafa Uddin

Thesis: An Optimized Multiple Right-Hand Side Dslash Kernel for Intel Xeon Phi , Aaron Walden

Dissertation: Towards Aggregating Time-Discounted Information in Sensor Networks , Xianping Wang

Dissertation: A Computational Framework for Learning from Complex Data: Formulations, Algorithms, and Applications , Wenlu Zhang

Theses/Dissertations from 2015 2015

Dissertation: Efficient Algorithms for Prokaryotic Whole Genome Assembly and Finishing , Abhishek Biswas

Dissertation: De Novo Protein Structure Modeling and Energy Function Design , Lin Chen

Dissertation: High Performance Large Graph Analytics by Enhancing Locality , Naga Shailaja Dasari

Thesis: Avoiding Spoilers on Mediawiki Fan Sites Using Memento , Shawn M. Jones

Dissertation: Energy Harvesting-Aware Design for Wireless Nanonetworks , Shahram Mohrehkesh

Thesis: Parallel Two-Dimensional Unstructured Anisotropic Delaunay Mesh Generation for Aerospace Applications , Juliette Kelly Pardue

Dissertation: Detecting, Modeling, and Predicting User Temporal Intention , Hany M. SalahEldeen

Dissertation: Wireless Networking for Vehicle to Infrastructure Communication and Automatic Incident Detection , Sarwar Aziz Sha-Mohammad

Dissertation: Computational Development for Secondary Structure Detection From Three-Dimensional Images of Cryo-Electron Microscopy , Dong Si

Thesis: Mobile Cloud Computing Based Non Rigid Registration for Image Guided Surgery , Arun Brahmavar Vishwanatha

Theses/Dissertations from 2014 2014

Dissertation: Web Archive Services Framework for Tighter Integration Between the Past and Present Web , Ahmed AlSum

Dissertation: Modeling Stem Cell Population Dynamics , Samiur Arif

Dissertation: A Framework for Web Object Self-Preservation , Charles L. Cartledge

Dissertation: Document Classification in Support of Automated Metadata Extraction Form Heterogeneous Collections , Paul K. Flynn

Dissertation: Resource Allocation in Vehicular Cloud Computing , Puya Ghazizadeh

Thesis: Generating Combinatorial Objects- A New Perspective , Alexander Chizoma Nwala

Dissertation: Enhancing Understanding of Discrete Event Simulation Models Through Analysis , Kara Ann Olson

Dissertation: Scalable Reasoning for Knowledge Bases Subject to Changes , Hui Shi

Dissertation: Improving Structural Features Prediction in Protein Structure Modeling , Ashraf Yaseen

Thesis: Computational Analysis of Gene Expression and Connectivity Patterns in the Convoluted Structures of Mouse Cerebellum , Tao Zeng

Theses/Dissertations from 2013 2013

Thesis: HTTP Mailbox - Asynchronous Restful Communication , Sawood Alam

Dissertation: TDMA Slot Reservation in Cluster-Based VANETs , Mohammad Salem Almalag

Thesis: Protein Loop Length Estimation From Medium Resolution Cryoem Images , Andrew R. McKnight

Theses/Dissertations from 2012 2012

Dissertation: De Novo Protein Structure Modeling from Cryoem Data Through a Dynamic Programming Algorithm in the Secondary Structure Topology Graph , Kamal H. Al Nasr

Dissertation: FRIEND: A Cyber-Physical System for Traffic Flow Related Information Aggregation and Dissemination , Samy S. El-Tawab

Thesis: An Extensible Framework for Creating Personal Archives of Web Resources Requiring Authentication , Matthew Ryan Kelly

Thesis: Visualizing Digital Collections at Archive-It , Kalpesh Padia

Theses/Dissertations from 2011 2011

Dissertation: A Framework for Incident Detection and notification in Vehicular Ad-Hoc Networks , Mahmoud Abuelela

Dissertation: A Framework for Dynamic Traffic Monitoring Using Vehicular Ad-Hoc Networks , Mohammad Hadi Arbabi

Thesis: A Probabilistic Analysis of Misparking in Reservation Based Parking Garages , Vikas G. Ashok

Thesis: A Penalty-Based Approach to Handling Cluster Sizing in Mobile Ad Hoc Networks , Ryan Florin

Dissertation: Data Aggregation and Dissemination in Vehicular Ad-Hoc Networks , Khaled Ibrahim

Dissertation: Using the Web Infrastructure for Real Time Recovery of Missing Web Pages , Martin Klein

Theses/Dissertations from 2010 2010

Dissertation: A Virtual Infrastructure for Mitigating Typical Challenges in Sensor Networks , Hady S. Abdel Salam

Thesis: Merging Schemas in a Collaborative Faceted Classification System , Jianxiang Li

Thesis: XPath-Based Template Language for Describing the Placement of Metadata within a Document , Vijay Kumar Musham

Dissertation: Providing Location Security in Vehicular Ad Hoc Networks , Gongjun Yan

Theses/Dissertations from 2009 2009

Dissertation: Algorithms for Vertex-Weighted Matching in Graphs , Mahantesh Halappanavar

Theses/Dissertations from 2008 2008

Thesis: Using Timed-Release Cryptography to Mitigate Preservation Risk of Embargo Periods , Rabia Haq

Dissertation: Biology-Inspired Approach for Communal Behavior in Massively Deployed Sensor Networks , Kennie H. Jones

Dissertation: Biological Networks: Modeling and Structural Analysis , Emad Y. Ramadan

Dissertation: Integrating Preservation Functions Into the Web Server , Joan A. Smith

Theses/Dissertations from 2007 2007

Dissertation: FreeLib: A Self-Sustainable Peer-to-Peer Digital Library Framework for Evolving Communities , Ashraf A. Amrou

Thesis: Channel Management in Heterogeneous Cellular Networks , Mohammad Hadi Arbabi

Dissertation: Diagnosing Reading strategies: Paraphrase Recognition , Chutima Boonthum

Thesis: Investigating Real-Time Sonar Performance Predictions Using Beowulf Clustering , Charles Lane Cartledge

Dissertation: Lazy Preservation: Reconstructing Websites from the Web Infrastructure , Frank McCown

Theses/Dissertations from 2006 2006

Dissertation: Group Key Management in Wireless Ad-Hoc and Sensor Networks , Mohammed A. Moharrum

Dissertation: Template-Based Metadata Extraction for Heterogeneous Collection , Jianfeng Tang

Theses/Dissertations from 2005 2005

Dissertation: Collaborative Caching for efficient and Robust Certificate Authority Services in Mobile Ad-Hoc Networks , Laith Abdulaziz Al-Sulaiman

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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 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

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

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

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

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

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

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

A Machine Learning Approach to Predicting Community Engagement on Social Media During Disasters , Adel Alshehri

Interactive Fitness Domains in Competitive Coevolutionary Algorithm , ATM Golam Bari

Measuring Influence Across Social Media Platforms: Empirical Analysis Using Symbolic Transfer Entropy , Abhishek Bhattacharjee

A Communication-Centric Framework for Post-Silicon System-on-chip Integration Debug , Yuting Cao

Authentication and SQL-Injection Prevention Techniques in Web Applications , Cagri Cetin

Multimodal Emotion Recognition Using 3D Facial Landmarks, Action Units, and Physiological Data , Diego Fabiano

Robotic Motion Generation by Using Spatial-Temporal Patterns from Human Demonstrations , Yongqiang Huang

A GPU-Based Framework for Parallel Spatial Indexing and Query Processing , Zhila Nouri Lewis

A Flexible, Natural Deduction, Automated Reasoner for Quick Deployment of Non-Classical Logic , Trisha Mukhopadhyay

An Efficient Run-time CFI Check for Embedded Processors to Detect and Prevent Control Flow Based Attacks , Srivarsha Polnati

Force Feedback and Intelligent Workspace Selection for Legged Locomotion Over Uneven Terrain , John Rippetoe

Detecting Digitally Forged Faces in Online Videos , Neilesh Sambhu

Malicious Manipulation in Service-Oriented Network, Software, and Mobile Systems: Threats and Defenses , Dakun Shen

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Thesis and Research Topics in Computer Science

Completing a masters Thesis in computer science is the most challenging task faced by research scholars studying in universities all across the world. As computer science is one of the most vast fields opted by research scholars so finding a new thesis topic in computer science becomes more difficult. With each passing day, new and innovative developments are coming out in this era of mechanization. These developments tend to make human life much easier and better. Technology is the forerunner of this new change. Today our life is incomplete without this technology. Cell phones, laptops and all that have become an integral part of our life. Computer Science is the seed to this technical development. There are a number of good topics in computer science for project, thesis, and research for M.Tech and Ph.D. students.

In the field of academics, we need to get rid of obsolete ideas and focus on new innovative topics which are fast spreading their arms among the vast global audience. Computer Science students both in bachelors and in masters are studying the same topics and subjects from the past few years. Students don’t even have knowledge about new masters research topics. For project and thesis work also they are relying on outdated topics. Projects like school management system, library management system etc. are now out of date. Students should shift their focus to latest technologies which are highly in demand these days and future depend upon these. Here is the list of latest topics in Computer Science that you can choose and work for your project work or thesis and research:

List of few latest thesis topics in computer science is below:

Thesis topics in data mining
Thesis topics in machine learning
Thesis topics in digital image processing
Latest thesis topics in Internet of things (IOT)
Research topics in Artificial Intelligence
Networking can be chosen as a thesis topic in computer science
Trending thesis topics in cloud computing
Data aggregation as a thesis topics in Big Data
Research topics in Software Engineering

Data Warehousing

Data Warehousing is the process of analyzing data for business purposes. Data warehouse store integrated data from multiple sources at a single place which can later be retrieved for making reports. The data warehouse in simple terms is a type of database different and kept isolated from organization’s run-time database. The data in the warehouse is historical data which is helpful in understanding business goals and make decisions for future prospects. It is a relatively new concept and have high growth in future. Data Warehouse provides Online Analytical Processing(OLAP) tools for the systematic and effective study of data in a multidimensional view. Data Warehouse finds its application in the following areas:

Financial Sector
Banking Sector
Retail Services
Consumer goods
Manufacturing

So start working on it if you have knowledge of database and data modeling.

INTERNET OF THINGS(IOT)

Internet of Things(IoT) is a concept of interconnection of various devices, a vehicle to the internet. IOT make use of actuators and sensors for transferring data to and from the devices. This technology is developed for better efficiency and accuracy apart from minimizing human interaction with the devices. The example for this is home heating in some countries when the temperature drops done through motion sensors which automatically detect the weather conditions. Another example for this is the traffic lights which changes its colors depending upon the traffic. Following are the application areas of Internet of Things(IoT):

Home Automation
Agriculture
Transportation
Environment

BELOW IS THE LIST OF FEW LATEST AND TRENDING RESEARCH TOPICS IN IOT :-

The secure and energy efficient data routing in the IOT based networks
The secure channel establishment algorithm for the isolation of misdirection attack in the IOT
The clock synchronization of IOT devices of energy efficient data communication in IOT
The adaptive learning scheme to increase fault tolerance of IOT
Mobility aware energy efficient routing protocol for Internet of Things
To propose energy efficient multicasting routing protocol for Internet of Things
The novel scheme to maintain quality of service in internet of Things
Link reliable and trust aware RPL routing protocol for Internet of Things
The energy efficient cluster based routing in Internet of Things
Optimizing Multipath Routing With Guaranteed Fault Tolerance in Internet of Things

Many people are not aware of this concept so you can choose for your project work and learn something new.

Big Data is a term to denote the large volume of data which is complex to handle. The data may be structured or unstructured. Structured data is an organized data while unstructured data is an unorganized data. Big data can be examined for the intuition that can give way to better decisions and schematic business moves. The definition of big data is termed in terms of three Vs. These vs are:

Volume: Volume defines large volume of data from different sources
Velocity: It refers to the speed with which the data is generated
Variety: It refers to the varied amount of data both structured and unstructured.

Application areas:

BELOW IS THE LIST OF FEW LATEST AND TRENDING RESEARCH TOPICS IN BIG DATA :-

Privacy preserving big data publishing: a scalable k-anonymization approach using MapReduce.
Nearest Neighbour Classification for High-Speed Big Data Streams Using Spark.
Efficient and Rapid Machine Learning Algorithms for Big Data and Dynamic Varying Systems.
Disease Prediction by Machine Learning Over Big Data From Healthcare Communities.
A Parallel Multi-classification Algorithm for Big Data Using an Extreme Learning Machine.

Thus you can prepare your project report or thesis report on this.

Cloud Computing

Cloud Computing is a comparatively new technology. It is an internet-based service that creates a shared pool of resources for consumers. There are three service models of cloud computing namely:

Software as a Service(SaaS)
Platform as a Service(PaaS)
Infrastructure as a Service(IaaS)

Characteristics of cloud computing are:

On-demand self-service
Broad network access
Shared pool of resources
Scalability
Measured service

Below is the list of few latest and trending research topics in Cloud Computing :-

To isolate the virtual side channel attack in cloud computing
Enhancement in homomorphic encryption for key management and key sharing
To overcome load balancing problem using weight based scheme in cloud computing
To apply watermarking technique in cloud computing to enhance cloud data security
To propose improvement green cloud computing to reduce fault in the network
To apply stenography technique in cloud computing to enhance cloud data security
To detect and isolate Zombie attack in cloud computing

The common examples of cloud computing include icloud from Apple, Google-based Services like Google Drive and many more. The field is very demanding and is growing day by day. You can focus on it if you have interest in innovation.

Semantic Web

Semantic Web is also referred to as Web 3.0 and is the next big thing in the field of communication. It is standardized by World Wide Web Consortium(W3C) to promote common data formats and exchange protocols over the web. It is machine-readable information based and is built on XML technology. It is an extension to Web 2.0. In the semantic web, the information is well defined to enable better cooperation between the computers and the people. In the semantic web, the data is interlinked for better understanding. It is different from traditional data sharing technologies.

It can be a good topic for your thesis or project.

MANET stands for mobile ad hoc network. It is an infrastructure-less network with mobile devices connected wirelessly and is self-configuring. It can change locations independently and can link to other devices through a wireless connection. Following are the various types of MANETS :

Vehicular ad hoc network(VANET)
Smartphone ad-hoc network(SPANET)
Internet-based mobile ad hoc network(iMANET)

You can use various simulation tools to study the functionality and working of MANET like OPNET, NS2 , NETSIM, NS3 etc.

In MANET there is no need of central hub to receive and send messages. Instead, the nodes directly send packets to each other.

MANET finds its applications in the following areas:

Environment sensors
Vehicular ad hoc communication
Road Safety

BELOW IS THE LIST OF FEW LATEST AND TRENDING RESEARCH TOPICS IN MANET :-

Evaluate and propose scheme for the link recovery in mobile ad hoc networks
To propose hybrid technique for path establishment using bio-inspired techniques in MANET’s
To propose secure scheme for the isolation of black hole attack in mobile ad hoc networks
To propose trust based mechanism for the isolation of wormhole attack in mobile ad hoc networks
The novel approach for the congestion avoidance in mobile ad hoc networks
To propose scheme for the detection of selective forwarding attack in mobile ad hoc networks
To propose localization scheme which reduce faults in mobile ad hoc network
The energy efficient scheme for multicasting routing in wireless ad hoc network
The scheme for secure localization aided routing in wireless ad hoc networks
The cross-layer scheme for opportunistic routing in mobile ad hoc networks

Just go for it if you have interest in the field of networking and make a project on it.

Machine Learning

It is also a relatively new concept in the field of computer science and is a technique of guiding computers to act in a certain way without programming. It makes use of certain complex algorithms to receive an input and predict an output for the same. There are three types of learning;

Supervised learning
Unsupervised learning
Reinforcement learning

Machine Learning is closely related to statistics. If you are good at statistics then you should opt this topic.

Data Mining

Data Mining is the process of identifying and establishing a relationship between large datasets for finding a solution to a problem through analysis of data. There are various tools and techniques in Data Mining which gives enterprises and organizations the ability to predict futuristic trends. Data Mining finds its application in various areas of research, statistics, genetics, and marketing. Following are the main techniques used in the process of Data Mining:

Decision Trees
Genetic Algorithm
Induction method
Artificial Neural Network
Association

BELOW IS THE LIST OF FEW LATEST AND TRENDING RESEARCH TOPICS IN DATA MINING :-

Performance enhancement of DBSCAN density based clustering algorithm in data mining
The classification scheme for sentiment analysis of twitter data
To increase accuracy of min-max k-mean clustering in Data mining
To evaluate and improve apriori algorithm to reduce execution time for association rule generation
The classification scheme for credit card fraud detection in Data mining
To propose novel technique for the crime rate prediction in Data Mining
To evaluate and propose heart disease prediction scheme in Data Mining
Software defect prediction analysis using machine learning algorithms
A new data clustering approach for data mining in large databases
The diabetes prediction technique for Data mining using classification
Novel Algorithm for the network traffic classification in Data Mining

Advantages of Data Mining

Data Mining helps marketing and retail enterprises to study customer behavior.
Organizations into banking and finance business can get information about customer’s historical data and financial activities.
Data Mining help manufacturing units to detect faults in operational parameters.
Data Mining also helps various governmental agencies to track record of financial activities to curb on criminal activities.

Disadvantages of Data Mining

Privacy Issues
Security Issues
Information extracted from data mining can be misused
Artificial Intelligence

Artificial Intelligence is the intelligence shown by machines and it deals with the study and creation of intelligent systems that can think and act like human beings. In Artificial Intelligence , intelligent agents are studied that can perceive its environment and take actions according to its surrounding environment.

Goals of Artificial Intelligence

Following are the main goals of Artificial Intelligence:

Creation of expert systems
Implementation of human intelligence in machines
Problem-solving through reasoning

Application of Artificial Intelligence

Following are the main applications of Artificial Intelligence:

Expert Systems
Natural Language Processing
Artificial Neural Networks
Fuzzy Logic Systems

Strong AI – It is a type of artificial intelligence system with human thinking capabilities and can find a solution to an unfamiliar task.

Weak AI – It is a type of artificial intelligence system specifically designed for a particular task. Apple’s Siri is an example of Weak AI.

Turing Test is used to check whether a system is intelligent or not. Machine Learning is a part of Artificial Intelligence. Following are the types of agents in Artificial Intelligence systems:

Model-Based Reflex Agents
Goal-Based Agents
Utility-Based Agents
Simple Reflex Agents

Natural Language Processing – It is a method to communicate with the intelligent systems using human language. It is required to make intelligent systems work according to your instructions. There are two processes under Natural Language Processing – Natural Language Understanding, Natural Language Generation.

Natural Language Understanding involves creating useful representations from the natural language. Natural Language Generation involves steps like Lexical Analysis, Syntactic Analysis, Semantic Analysis, Integration and Pragmatic Analysis to generate meaningful information.

Image Processing

Image Processing is another field in Computer Science and a popular topic for a thesis in Computer Science. There are two types of image processing – Analog and Digital Image Processing. Digital Image Processing is the process of performing operations on digital images using computer-based algorithms to alter its features for enhancement or for other effects. Through Image Processing, essential information can be extracted from digital images. It is an important area of research in computer science. The techniques involved in image processing include transformation, classification, pattern recognition, filtering, image restoration and various other processes and techniques.

Main purpose of Image Processing

Following are the main purposes of image processing :

Visualization
Image Restoration
Image Retrieval
Pattern Measurement
Image Recognition

Applications of Image Processing

Following are the main applications of Image Processing:

UV Imaging, Gamma Ray Imaging and CT scan in medical field
Transmission and encoding
Robot Vision
Color Processing
Pattern Recognition
Video Processing

BELOW IS THE LIST OF FEW LATEST AND TRENDING RESEARCH TOPICS IN IMAGE PROCESSING :-

To propose classification technique for plant disease detection in image processing
The hybrid bio-inspired scheme for edge detection in image processing
The HMM classification scheme for the cancer detection in image processing
To propose efficient scheme for digital watermarking of images in image processing
The propose block wise image compression scheme in image processing
To propose and evaluate filter based on internal and external features of an image for image de noising
To improve local mean filtering scheme for de noising of MRI images
To propose image encryption base d on textural feature analysis and chaos method
The classification scheme for the face spoof detection in image processing
The automated scheme for the number plate detection in image processing

Bioinformatics

Bioinformatics is a field that uses various computational methods and software tools to analyze the biological data. In simple words, bioinformatics is the field that uses computer programming for biological studies. It is the current topic of research in computer science and is also a good topic of choice for the thesis. This field is a combination of computer science, biology, statistics, and mathematics. It uses image and signal processing techniques to extract useful information from a large amount of data. Following are the main applications of bioinformatics:

It helps in observing mutations in the field of genetics
It plays an important role in text mining and organization of biological data
It helps to study the various aspects of genes like protein expression and regulation
Genetic data can be compared using bioinformatics which will help in understanding molecular biology
Simulation and modeling of DNA, RNA, and proteins can be done using bioinformatics tools

Quantum Computing

Quantum Computing is a computing technique in which computers known as quantum computers use the laws of quantum mechanics for processing information. Quantum Computers are different from digital electronic computers in the sense that these computers use quantum bits known as qubits for processing. A lot of experiments are being conducted to build a powerful quantum computer. Once developed, these computers will be able to solve complex computational problems which cannot be solved by classical computers. Quantum is the current and the latest topic for research and thesis in computer science.

Quantum Computers work on quantum algorithms like Simon’s algorithm to solve problems. Quantum Computing finds its application in the following areas:

The list is incomplete as there are a number of topics to choose from. But these are the trending fields these days. Whether you have any presentation, thesis project or a seminar you can choose any topic from these and prepare a good report.

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Computer Science Theses and Dissertations

This collection contains theses and dissertations from the Department of Computer Science, collected from the Scholarship@Western Electronic Thesis and Dissertation Repository

Theses/Dissertations from 2024 2024

A Target-Based and A Targetless Extrinsic Calibration Methods for Thermal Camera and 3D LiDAR , Farhad Dalirani

Investigating Tree- and Graph-based Neural Networks for Natural Language Processing Applications , Sudipta Singha Roy

Theses/Dissertations from 2023 2023

Classification of DDoS Attack with Machine Learning Architectures and Exploratory Analysis , Amreen Anbar

Multi-view Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces , Sepehr Asgarian

Improved Protein Sequence Alignments Using Deep Learning , Seyed Sepehr Ashrafzadeh

INVESTIGATING IMPROVEMENTS TO MESH INDEXING , Anurag Bhattacharjee

Algorithms and Software for Oligonucleotide Design , Qin Dong

Framework for Assessing Information System Security Posture Risks , Syed Waqas Hamdani

De novo sequencing of multiple tandem mass spectra of peptide containing SILAC labeling , Fang Han

Local Model Agnostic XAI Methodologies Applied to Breast Cancer Malignancy Predictions , Heather Hartley

A Quantitative Analysis Between Software Quality Posture and Bug-fixing Commit , Rongji He

A Novel Method for Assessment of Batch Effect on single cell RNA sequencing data , Behnam Jabbarizadeh

Dynamically Finding Optimal Kernel Launch Parameters for CUDA Programs , Taabish Jeshani

Citation Polarity Identification From Scientific Articles Using Deep Learning Methods , Souvik Kundu

Denoising-Based Domain Adaptation Network for EEG Source Imaging , Runze Li

Decoy-Target Database Strategy and False Discovery Rate Analysis for Glycan Identification , Xiaoou Li

DpNovo: A DEEP LEARNING MODEL COMBINED WITH DYNAMIC PROGRAMMING FOR DE NOVO PEPTIDE SEQUENCING , Yizhou Li

Developing A Smart Home Surveillance System Using Autonomous Drones , Chongju Mai

Look-Ahead Selective Plasticity for Continual Learning , Rouzbeh Meshkinnejad

The Two Visual Processing Streams Through The Lens Of Deep Neural Networks , Aidasadat Mirebrahimi Tafreshi

Source-free Domain Adaptation for Sleep Stage Classification , Yasmin Niknam

Data Heterogeneity and Its Implications for Fairness , Ghazaleh Noroozi

Enhancing Urban Life: A Policy-Based Autonomic Smart City Management System for Efficient, Sustainable, and Self-Adaptive Urban Environments , Elham Okhovat

Evaluating the Likelihood of Bug Inducing Commits Using Metrics Trend Analysis , Parul Parul

On Computing Optimal Repairs for Conditional Independence , Alireza Pirhadi

Open-Set Source-Free Domain Adaptation in Fundus Images Analysis , Masoud Pourreza

Migration in Edge Computing , Arshin Rezazadeh

A Modified Hopfield Network for the K-Median Problem , Cody Rossiter

Predicting Network Failures with AI Techniques , Chandrika Saha

Toward Building an Intelligent and Secure Network: An Internet Traffic Forecasting Perspective , Sajal Saha

An Exploration of Visual Analytic Techniques for XAI: Applications in Clinical Decision Support , Mozhgan Salimiparsa

Attention-based Multi-Source-Free Domain Adaptation for EEG Emotion Recognition , Amir Hesam Salimnia

Global Cyber Attack Forecast using AI Techniques , Nusrat Kabir Samia

IMPLEMENTATION OF A PRE-ASSESSMENT MODULE TO IMPROVE THE INITIAL PLAYER EXPERIENCE USING PREVIOUS GAMING INFORMATION , Rafael David Segistan Canizales

A Computational Framework For Identifying Relevant Cell Types And Specific Regulatory Mechanisms In Schizophrenia Using Data Integration Methods , Kayvan Shabani

Weakly-Supervised Anomaly Detection in Surveillance Videos Based on Two-Stream I3D Convolution Network , Sareh Soltani Nejad

Smartphone Loss Prevention System Using BLE and GPS Technology , Noshin Tasnim

A Hybrid Continual Machine Learning Model for Efficient Hierarchical Classification of Domain-Specific Text in The Presence of Class Overlap (Case Study: IT Support Tickets) , Yasmen M. Wahba

Reducing Negative Transfer of Random Data in Source-Free Unsupervised Domain Adaptation , Anthony Wong

Deep Neural Methods for True/Pseudo- Invasion Classification in Colorectal Polyp Whole-Slide Images , Zhiyuan Yang

Developing a Relay-based Autonomous Drone Delivery System , Muhammad Zakar

Learning Mortality Risk for COVID-19 Using Machine Learning and Statistical Methods , Shaoshi Zhang

Machine Learning Techniques for Improved Functional Brain Parcellation , Da Zhi

Theses/Dissertations from 2022 2022

The Design and Implementation of a High-Performance Polynomial System Solver , Alexander Brandt

Defining Service Level Agreements in Serverless Computing , Mohamed Elsakhawy

Algorithms for Regular Chains of Dimension One , Juan P. Gonzalez Trochez

Towards a Novel and Intelligent e-commerce Framework for Smart-Shopping Applications , Susmitha Hanumanthu

Multi-Device Data Analysis for Fault Localization in Electrical Distribution Grids , Jacob D L Hunte

Towards Parking Lot Occupancy Assessment Using Aerial Imagery and Computer Vision , John Jewell

Potential of Vision Transformers for Advanced Driver-Assistance Systems: An Evaluative Approach , Andrew Katoch

Psychological Understanding of Textual journals using Natural Language Processing approaches , Amirmohammad Kazemeinizadeh

Driver Behavior Analysis Based on Real On-Road Driving Data in the Design of Advanced Driving Assistance Systems , Nima Khairdoost

Solving Challenges in Deep Unsupervised Methods for Anomaly Detection , Vahid Reza Khazaie

Developing an Efficient Real-Time Terrestrial Infrastructure Inspection System Using Autonomous Drones and Deep Learning , Marlin Manka

Predictive Modelling For Topic Handling Of Natural Language Dialogue With Virtual Agents , Lareina Milambiling

Improving Deep Entity Resolution by Constraints , Soudeh Nilforoushan

Respiratory Pattern Analysis for COVID-19 Digital Screening Using AI Techniques , Annita Tahsin Priyoti

Extracting Microservice Dependencies Using Log Analysis , Andres O. Rodriguez Ishida

False Discovery Rate Analysis for Glycopeptide Identification , Shun Saito

Towards a Generalization of Fulton's Intersection Multiplicity Algorithm , Ryan Sandford

An Investigation Into Time Gazed At Traffic Objects By Drivers , Kolby R. Sarson

Exploring Artificial Intelligence (AI) Techniques for Forecasting Network Traffic: Network QoS and Security Perspectives , Ibrahim Mohammed Sayem

A Unified Representation and Deep Learning Architecture for Persuasive Essays in English , Muhammad Tawsif Sazid

Towards the development of a cost-effective Image-Sensing-Smart-Parking Systems (ISenSmaP) , Aakriti Sharma

Advances in the Automatic Detection of Optimization Opportunities in Computer Programs , Delaram Talaashrafi

Reputation-Based Trust Assessment of Transacting Service Components , Konstantinos Tsiounis

Fully Autonomous UAV Exploration in Confined and Connectionless Environments , Kirk P. Vander Ploeg

Three Contributions to the Theory and Practice of Optimizing Compilers , Linxiao Wang

Developing Intelligent Routing Algorithm over SDN: Reusable Reinforcement Learning Approach , Wumian Wang

Predicting and Modifying Memorability of Images , Mohammad Younesi

Theses/Dissertations from 2021 2021

Generating Effective Sentence Representations: Deep Learning and Reinforcement Learning Approaches , Mahtab Ahmed

A Physical Layer Framework for a Smart City Using Accumulative Bayesian Machine Learning , Razan E. AlFar

Load Balancing and Resource Allocation in Smart Cities using Reinforcement Learning , Aseel AlOrbani

Contrastive Learning of Auditory Representations , Haider Al-Tahan

Cache-Friendly, Modular and Parallel Schemes For Computing Subresultant Chains , Mohammadali Asadi

Protein Interaction Sites Prediction using Deep Learning , Sourajit Basak

Predicting Stock Market Sector Sentiment Through News Article Based Textual Analysis , William A. Beldman

Improving Reader Motivation with Machine Learning , Tanner A. Bohn

A Black-box Approach for Containerized Microservice Monitoring in Fog Computing , Shi Chang

Visualization and Interpretation of Protein Interactions , Dipanjan Chatterjee

A Framework for Characterising Performance in Multi-Class Classification Problems with Applications in Cancer Single Cell RNA Sequencing , Erik R. Christensen

Exploratory Search with Archetype-based Language Models , Brent D. Davis

Evolutionary Design of Search and Triage Interfaces for Large Document Sets , Jonathan A. Demelo

Building Effective Network Security Frameworks using Deep Transfer Learning Techniques , Harsh Dhillon

A Deep Topical N-gram Model and Topic Discovery on COVID-19 News and Research Manuscripts , Yuan Du

Automatic extraction of requirements-related information from regulatory documents cited in the project contract , Sara Fotouhi

Developing a Resource and Energy Efficient Real-time Delivery Scheduling Framework for a Network of Autonomous Drones , Gopi Gugan

A Visual Analytics System for Rapid Sensemaking of Scientific Documents , Amirreza Haghverdiloo Barzegar

Calibration Between Eye Tracker and Stereoscopic Vision System Employing a Linear Closed-Form Perspective-n-Point (PNP) Algorithm , Mohammad Karami

Fuzzy and Probabilistic Rule-Based Approaches to Identify Fault Prone Files , Piyush Kumar Korlepara

Parallel Arbitrary-precision Integer Arithmetic , Davood Mohajerani

A Technique for Evaluating the Health Status of a Software Module Using Process Metrics , . Ria

Visual Analytics for Performing Complex Tasks with Electronic Health Records , Neda Rostamzadeh

Predictive Model of Driver's Eye Fixation for Maneuver Prediction in the Design of Advanced Driving Assistance Systems , Mohsen Shirpour

A Generative-Discriminative Approach to Human Brain Mapping , Deepanshu Wadhwa

WesternAccelerator：Rapid Development of Microservices , Haoran Wei

A Lightweight and Explainable Citation Recommendation System , Juncheng Yin

Mitosis Detection from Pathology Images , Jinhang Zhang

Theses/Dissertations from 2020 2020

Visual Analytics of Electronic Health Records with a focus on Acute Kidney Injury , Sheikh S. Abdullah

Towards the Development of Network Service Cost Modeling-An ISP Perspective , Yasmeen Ali

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Computer Science Thesis Oral

April 26, 2024 3:00pm — 5:00pm.

Location: In Person - Newell-Simon Hall 3002

Speaker: BYUNGSOO JEON , Ph.D. Candidate, Computer Science Department, Carnegie Mellon University https://madfunmaker.github.io/

Automated and Portable Machine Learning System

The explosive popularity of Machine Learning (ML) drives the rapid advance in ML models, systems, and hardware. Nevertheless, it remains challenging and labor-intensive to quickly adapt existing ML systems to new models and hardware to maximize performance. We observe that it is attributed to existing ML systems falling short in portability and automatability across several crucial layers of a system stack. However, building a portable ML system requires non-trivial modeling of intricate commonalities and differences of diverse ML models or platforms. In addition, automating ML system layers introduces the challenge of designing practical search space and search algorithms to customize optimizations to a given model and hardware.

In this thesis, we aim to tackle the challenges above of building an automated and portable ML system with a focus on crucial ML system layers. Specifically, the thesis explores ways to build an efficient system that automates 1) integration of ML backends and 2) ML parallelisms and makes them more portable. We develop a user interface and system stack to be more portable across different backends and underlying hardware. We also design practical search space and algorithms to automate backend placement and parallelism.

Thesis Committee:

Tianqi Chen (Co-chair) Zhihao Jia (Co-chair) Gregory R. Ganger Luis Ceze (University of Washington)

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PDF Writing a Computer Science Thesis
Writing a computer science thesis is a considerable challenge for stu-dents. In this text, we give some tips and structure to write a great thesis. We will go over the research process in general, finding a topic, writing an expos´e, and thesis structure. At the end, we include some tips on researching and writing. 1 Introduction
PDF How to Produce a Computer Science Thesis
2.1 Thesis statement The word "thesis" roughly translates from the Greek word for "position". The thesis statement is a refined and succinct set of arguments that define what you will demonstrate or prove in the thesis—it is your position. It is the "point" of your work. The statement can be very short or many pages in length.
computer science
1. Formulating good research problems comes from experience. If you understand an area well, you will see the fundamental concepts. From there, your problem statement is simply an articulation of these concepts. For a beginner, this is very hard. Advice: try to cut down the problems into sub-problems.
PDF How to Produce a Computer Science Thesis Introduction
Graduate Programs in Computer Science -2- Ferworn Rev: April 21, 2009 Thesis statement The word "thesis" roughly translates from the Greek word for "position". The thesis statement is a refined and succinct set of arguments that define what you will demonstrate or prove in the thesis—it is your position.
Computer Science Thesis: Outline, Topics, Writing Tips
Here are interesting topics for a computer science thesis to review: Discuss databases, data mining, and how cryptocurrency works. Examine the network between neuron network and machine learning. How do robots and computers understand human language. Examine the role of mathematics in modeling computers.
How to Write a Master's Thesis in Computer Science
There needs to a statement of (1) the problem to be studied, (2) previous work on the problem, (3) the software requirements, (4) the goals of the study, (5) an outline of the proposed work with a set of milestones, and (6) a bibliography.
Thesis Statement Examples
David R. Cheriton School of Computer Science University of Waterloo 200 University Ave. West Waterloo, ON N2L 3G1, Canada E-mail: brecht AT uwaterloo DOT ca Phone: (519) 888-4567 x35892 Writing a Thesis Statement . Thesis: (definition) o a statement or theory that is put forward as a premise to be maintained or proved.
Senior Thesis :: Harvard CS Concentration
Senior Thesis. A senior thesis is more than a big project write-up. It is documentation of an attempt to contribute to the general understanding of some problem of computer science, together with exposition that sets the work in the context of what has come before and what might follow. In computer science, some theses involve building systems ...
PDF Writing a Bachelor Thesis in Computer Science
A good thesis is self-contained: anyone with a bachelor in computer science should be able to understand it You should refer to the literature for any detail that is not strictly relevant to your text eg., you usually do not need to repeat a proof given in the literature, unless the reader needs to be
How to Write a Thesis Statement
Placement of the thesis statement. Step 1: Start with a question. Step 2: Write your initial answer. Step 3: Develop your answer. Step 4: Refine your thesis statement. Types of thesis statements. Other interesting articles. Frequently asked questions about thesis statements.
Writing Your Thesis
The main document should be organized as follows. The ratio between the main sections (2.-4.) is 1/3 to 1/3 to 1/3! Regarding the size of the thesis, a rough measure might be 60-80 pages for a bachelor thesis and 80-90 for a master's thesis. Abstract / Kurzfassung: each about 1/2 page. How to write an abstract.
What Is a Thesis?
A thesis statement is a very common component of an essay, particularly in the humanities. It usually comprises 1 or 2 sentences in the introduction of your essay, and should clearly and concisely summarize the central points of your academic essay. A thesis is a long-form piece of academic writing, often taking more than a full semester to ...
MS in Computer Science (Thesis Option)
The Master's of Science degree in Computer Science (Thesis Option) at The University of Georgia is a comprehensive program of study intended to give qualified and motivated students a thorough foundation in the theory, methodology, and techniques of Computer Science. ... A one- or two-page personal statement outlining the student's background ...
Thesis
Thesis/Dissertation. Thesis-based MS students must complete a thesis/dissertation under the supervision of a faculty member (i.e., thesis advisor/major professor) and a thesis examination committee. A thesis-based MS student must enroll in CSCI-7000 (Thesis Research) for at least six credit hours. With approval from thesis advisor (aka, major ...
Past Theses
The following is a list of some of the recently completed CS Masters Theses. Date. Student. Adviser. Title. 13-Dec-16. Arpita Banerjee. Eckberg. Study of H.264 Video Streaming over Wireless Channel using GStreamer.
Prize-Winning Thesis and Dissertation Examples
Award: 2017 Royal Geographical Society Undergraduate Dissertation Prize. Title: Refugees and theatre: an exploration of the basis of self-representation. University: University of Washington. Faculty: Computer Science & Engineering. Author: Nick J. Martindell. Award: 2014 Best Senior Thesis Award. Title: DCDN: Distributed content delivery for ...
The M.S. Thesis Track
The MS Thesis track is for students who want to concentrate on research in some sub-field of Computer Science. You are required to arrange for a Computer Science Faculty member who agrees to advise the thesis and the rest of your course selection prior to selecting the track. SUMMARY OF REQUIREMENTS. Complete a total of 30 points (Courses must ...
Computer Science Dissertations and Theses
Theses/Dissertations from 2019. PDF. A Secure Anti-Counterfeiting System using Near Field Communication, Public Key Cryptography, Blockchain, and Bayesian Games, Naif Saeed Alzahrani (Dissertation) PDF. Spectral Clustering for Electrical Phase Identification Using Advanced Metering Infrastructure Voltage Time Series, Logan Blakely (Thesis) PDF.
Computer Science Graduate Projects and Theses
The Department of Computer Science is a discipline concerned with the study of computing, which includes programming, automating tasks, creating tools to enhance productivity, and the understanding of the foundations of computation. The Computer Science program provides the breadth and depth needed to succeed in this rapidly changing field. One of the more recent fields of academic study ...
Computer Science Theses & Dissertations
Theses and dissertations published by graduate students in the Department of Computer Science, College of Sciences, Old Dominion University, since Fall 2016 are available in this collection. Backfiles of all dissertations (and some theses) have also been added. In late Fall 2023 or Spring 2024, all theses will be digitized and available here.
Computer Science and Engineering Theses and Dissertations
Design, Deployment, and Validation of Computer Vision Techniques for Societal Scale Applications, Arup Kanti Dey. PDF. AffectiveTDA: Using Topological Data Analysis to Improve Analysis and Explainability in Affective Computing, Hamza Elhamdadi. PDF. Automatic Detection of Vehicles in Satellite Images for Economic Monitoring, Cole Hill. PDF
Thesis and Research Topics in Computer Science
Completing a masters Thesis in computer science is the most challenging task faced by research scholars studying in universities all across the world. As computer science is one of the most vast fields opted by research scholars so finding a new thesis topic in computer science becomes more difficult. With each passing day, new and innovative ...
Computer Science Theses and Dissertations
Theses/Dissertations from 2022. PDF. The Design and Implementation of a High-Performance Polynomial System Solver, Alexander Brandt. PDF. Defining Service Level Agreements in Serverless Computing, Mohamed Elsakhawy. PDF. Algorithms for Regular Chains of Dimension One, Juan P. Gonzalez Trochez. PDF.
Computer Science Thesis Oral
Computer Science Thesis Oral April 26, 2024 3:00pm — 5:00pm Location: In Person - Newell-Simon Hall 3002 Speaker: BYUNGSOO JEON , Ph.D. Candidate, Computer Science Department, Carnegie Mellon University https://madfunmaker.github.io/ Automated and Portable Machine Learning System ...

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Senior Thesis

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Research Seminar (Item #3)

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SUMMARY OF REQUIREMENTS

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2. REQUIRED TRACK COURSES (9 credits)

3. ELECTIVE TRACK COURSES

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