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School of Information Systems and Management Theses and Dissertations

Theses/dissertations from 2021 2021.

Designing Targeted Mobile Advertising Campaigns , Kimia Keshanian

Informing Complexity: The Business Case for Managing Digital Twins of Complex Process Facilities as a Valuable Asset , William Randell McNair

Designing a Health Coach-Augmented mHealth System for the Secondary Prevention of Coronary Heart Disease , Avijit Sengupta

Impact of Health IT on Practice of Medicine , Deepti Singh

Theses/Dissertations from 2020 2020

Complexities of Data, Tasks and Workflows in Health IT Management , Gaurav Jetley

Understanding the Complex Ethical Landscape of Artificial Intelligence Adoptions , Chrissann R. Ruehle

Theses/Dissertations from 2019 2019

Evaluating Conversation Agent Impact on Student Experience in a Distance Education Course , Grover Walters

Theses/Dissertations from 2018 2018

An Effectual Approach for the Development of Novel Applications on Digital Platforms , Onkar Shamrao Malgonde

Analytics for Novel Consumer Insights (A Three Essay Dissertation) , Utkarsh Shrivastava

Theses/Dissertations from 2017 2017

Essays on Crowdfunding: Exploring the Funding and Post-funding Phases and Outcomes , Onochie Fan-Osuala

Theses/Dissertations from 2016 2016

An Information and Communication Technologies for Development (ICT4D) Decision Framework for Building an Information Economy in Developing Countries: The Case of Palestine , Hasan Nuseibeh

Blind and Visually Impaired Users Adaptation to Web Environments: A Qualitative Study , Raneem Saqr

Theses/Dissertations from 2015 2015

Predictive Analytics of Organizational Decisions and the Role of Rationality , Arash Barfar

Analytics and Healthcare Costs (A Three Essay Dissertation) , Lina Bouayad

Information Technology & Sustainability: An Empirical Study of the Value of the Building Automation System , Daphne Marie Simmonds

Theses/Dissertations from 2014 2014

The Use and Effectiveness of Online Social Media in Volunteer Organizations , Amy J. Connolly

Inter-Organizational Social Network Information Systems: Diagnosing and Design , Matthew T. Mullarkey

Informing Systems, Interventions, and Innovations , William Francis Murphy Jr.

Theses/Dissertations from 2013 2013

Do Personality Tests have a place in Academic Preparation of Undergradute Hospitality Students , Gunce Malan

Applications of Agent Based Approaches in Business: A Three Essay Dissertation , Shankar Prawesh

Theses/Dissertations from 2012 2012

Economic Culture and Trading Behaviors in Information Markets , Khalid Nasser Alhayyan

TagLine: Information Extraction for Semi-Structured Text Elements In Medical Progress Notes , Dezon K. Finch

Learning and Relevance in Information Retrieval: A Study in the Application of Exploration and User Knowledge to Enhance Performance , Harvey Stuart Hyman

Theses/Dissertations from 2010 2010

Contribution to and Use of Online Knowledge Repositories: The Role of Governance Mechanisms , Varol O. Kayhan

Understanding Organizational Adoption Theories Through the Adoption of a Disruptive Innovation: Five Cases of Open Source Software , Delmer Nagy

Organizational Information Markets: Conceptual Foundation and an Approach for Software Project Risk Management , Areej M. Yassin

Theses/Dissertations from 2009 2009

Social Shopping , Rebecca Anderson

Goal Attainment On Long Tail Web Sites: An Information Foraging Approach , James A. Mccart

Theses/Dissertations from 2008 2008

The Impact of Computer Mediated Communication Systems Monitoring on Organizational Communications Content , Carolyn F. Holton

Theses/Dissertations from 2007 2007

Privacy in Database Designs: A Role Based Approach , Gary A. Poe

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UC CECH » Academic Schools » School of Information Technology » Graduate Programs » Ph.D. Information Technology

Ph.D. Information Technology

The Information Technology doctoral program prepares students with skills to advance applied research in evidence-based, human-centered and secure IT practice. In addition, the program prepares doctoral students whose research will advance knowledge in evidence-based practices needed to educate future IT professionals at the K12, undergraduate, and graduate levels.

Curriculum Overview

The curriculum requires a total of 90 credit hours post Baccalaureate that are distributed among four areas:

1. Core area (33 semester credit hours) that includes:

• 15 hours of Information Technology Foundations
• 12 hours in an Area of Specialization
• 6 hours of research preparation

2. Methodology (12 semester credit hours)

3. Electives (15 semester credit hours) distributed among analytical, quantificational, computational, social, and experiential themes.

4. Dissertation (30 semester credit hours)

Doctoral Program

Our Ph.D. in Information Technology is offered as an onsite degree:

• Ph.D. in Information Technology

For questions related to the PhD program, please contact us by submitting a ticket with the "Contact Us" button below. 

Graduate Students' Guide to Library Resources and Services

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ETD Help -- UC Graduate School

The Graduate School ETD Informaton Web site provides an ETD submission time line, submission requirements and an FAQ page that addresses a wide range of formatting, PDF creation and publishing questions.

ETD Help Desk

Dissertations and theses resources.

At UC Libraries

• Center for Research Libraries (non-US dissertations) Use ILLiad to request. Some dissertations are available online.
• Inter-Library Loan Service (ILLiad) If the dissertation is not available or digitized, use the Thesis/Dissertation form in ILLiad to request through interlibrary loan.

On the Public Web

• British Library EThOS - Search and order these online "Search over 480,000 doctoral theses. Download instantly for your research, or order a scanned copy quickly and easily."
• DART - Europe E-theses Portal Open access portal to theses from 400+ European universities.
• eScholarship University of California "eScholarship® provides scholarly publishing and repository services that enable departments, research units, publishing programs, and individual scholars associated with the University of California to have direct control over the creation and dissemination of the full range of their scholarship."
• Global ETD Search (NDLTD) The Networked Digital Library of Theses and Dissertations (NDLTD) is an international organization dedicated to promoting the adoption, creation, use, dissemination, and preservation of electronic theses and dissertations (ETDs).
• OATD - Open Access Theses and Dissertations "OATD.org aims to be the best possible resource for finding open access graduate theses and dissertations published around the world. Metadata (information about the theses) comes from over 1100 colleges, universities, and research institutions."
• PDTQ Open Open access collection within ProQuest's Dissertations & Theses.

E-Books on Theses and Dissertations

• Strategies for Writing a Thesis by Publication in the Social Sciences and Humanities by Lynn P. Nygaard; Kristin Solli ISBN: 9780367204075 Publication Date: 2020-10-13 " Drawing on current research and informed by extensive experience of working with and running workshops for PhD candidates who write article-based dissertations, this book gives readers an idea of what writing a thesis by publication entails." Particular emphasis is put on how to put the individual articles together to create a coherent thesis that clarifies the student's individual original contribution.

For additional e-book titles published before 2019 please see " Need help with the dissertation process? (Electronic Resources )."

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Information Technology

The Doctorate in Information Technology is in collaboration with the University of Pittsburgh in the U.S.A.  This is a research degree with a strong emphasis on the production of a dissertation leading to the publication of at least one paper in a research journal. The vision of the doctoral program in Information Technology is to combine the disciplines of computer science, business, information systems, software engineering, and telecommunications to develop technology specialists who are uniquely positioned to advance research and practice in contemporary technologies.

• The PhD program in Information Technology at the Siam University offers a curriculum with multidisciplinary emphases in information technology. The program integrates the theory and practice of applied computing, information systems, Internet technologies, and the advances in telecommunications and management of information technology. This is a research degree with a strong emphasis on the production of a dissertation leading to the publication of at least one paper in a research journal. The vision of the doctoral program in Information Technology is to combine the disciplines of computer science, business, information systems, software engineering, and telecommunications to develop technology specialists who are uniquely positioned to advance research and practice in contemporary technologies.

Graduates from the PhD in Information Technology program will have:

• Highly developed research skills relevant to the tasks of problem solving and discovering new knowledge in the field of information technology;
• Advanced comprehensive knowledge and understandings of the key issues relating to the efficient, effective and strategic use of information technologies in organizations;

The time is now

Program details.

Required courses:

• Information System
• Management Information Systems
• Statics In Information Technology
• Strategic Business Management In Information Technology
• Research Method

To complete the D. Degree, students are required to complete a minimum of 69 credits which include the following:

PROGRAM PLAN

PLAN TO STUDY

• Structure of Study Plans Plan A:  Complete at least 69 credits 0f dissertation Plan B:  Complete at least 69 credits 0f coursework and dissertation
• Language English is used in the instruction.
• Duration of Study The PhD in Information Technology program is a 3 years program. Each student must complete all the requirements for the degree with 6 years from the semester of first enrollment. • The academic year consists of two semesters per years, each consisting of no less than 15 weeks.

The Graduate Studies Committee will accept students for admission based on the following criteria:

• An interview in English proficiency.
• Analytical ability in the field of Information Technology
• Graduate record
• Items Required for Applications
• Completed University application forms and identification.
• Two copies of graduate transcripts or evidence of equivalent work.
• Two letters of Reference.
• Three 2-inch full front facial pictures while not wearing glasses or a hat.
• Photo taken within 6 months of application date.
• Two copies of applicant’s national identity card.
• Final acceptance will be the decision of the Graduate Studies Committee, Siam University.

Address:  38 Siam University, Petchkasem Road, Phasi-Chareon District, Bangkok, 10160, Thailand. Email : [email protected] Phone:  +66-2-867-8071 Fax:  +66-2-868-6657 Front Counter Hours:  Mon – Fri (8:30a.m. – 4:30 p.m.)

Strong SIAM Application

38 Phetkasem Road, Phasi Charoen, Bangwa Bangkok, Thailand 10160 Tel – 028678088, 0224570068 Fax – 028686883, 024576657 E-mail – [email protected]

International programs.

• Bachelor in Business Administration
• Bachelor in Hotel & Tourism Management
• Bachelor in Information Technology
• Bachelor in Civil Engineering
• Masters in Business Administration
• Masters in Peace Studies & Diplomacy
• D.B.A. in Business Management
• D.B.A. in Marketing
• Ph.D. in Information Technology

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Home > School, College, or Department > MCECS > ETM > Dissertations and Theses

Engineering and Technology Management Dissertations and Theses

Theses/dissertations from 2023 2023.

Fintech and Entrepreneurship: An Assessment Model to Evaluate Policy Instruments for Fintech Adoption by Small and Medium Enterprises (SMEs) , Deemah Abdullah Alassaf

Organizational Readiness Assessment for Fraud Detection and Prevention: Case of Airlines Sector and Electronic Payment , Sultan Ayed Alghamdi

An Evaluation of the Effectiveness of Innovation Ecosystems in Facilitating the Adoption of Sustainable Entrepreneurship , Dana Sami Bakry

Assessment of the Omni-Channel Adoption for the Management of Emergence Technologies in Food Retailing During and After the Era of COVID-19 , Esraa Bukhari

A Hierarchical Decision Model to Evaluate Healthcare Organization's Readiness to Implement Clinical Decision Support Systems , Mohammed Oussama Laraichi

Theses/Dissertations from 2022 2022

Developing an Assessment Model for Entrepreneurship Ecosystems Using Hierarchical Decision Model: Case Study of Riyadh City , Mustafa Kamal Almuzel

Scenario Acceleration Through Automated Modelling: A Method and System for Creating Traceable Quantitative Future Scenarios Based on FCM System Modeling and Natural Language Processing , Christopher W.H. Davis

An Assessment Model of the Healthcare Entrepreneurship Ecosystem to Foster Solutions for Underserved Communities , Abdalilah Saleh Owaishiz

Maturity Model for Customer-Centric Approach in Enterprise: The Case of E-commerce and Online Retail Industry , Soheil Zarrin

Theses/Dissertations from 2021 2021

Assessment of the Blockchain Technology Adoption for the Management of the Electronic Health Record Systems , Saeed Mohammed Alzahrani

Information Security Maturity Model for Healthcare Organizations in the United States , Bridget Joan Barnes Page

Perceived Value of Technology Product Features by Crowdfunding Backers: The Case of 3D Printing Technology on Kickstarter Platform , Nina Chaichi

Technology Management Maturity Assessment Model in Healthcare , Amir Shaygan

Theses/Dissertations from 2020 2020

Exploring Policies and Strategies for the Diffusion of Remote Patient Monitoring (RPM) for the Care of Senior Population , Hamad Asri Alanazi

Achieving High Reliability Organizations Using Fuzzy Cognitive Maps - the Case of Offshore Oil and Gas , Ahmed A. Alibage

An Assessment of the Decision-Making Units' Efficiency in Service Systems , Maoloud Yakhlif Dabab

Evaluating R&D Projects in Regulated Utilities: the Case of Power Transmission Utilities , Edwin Garces

A Scoring Model to Evaluate Offshore Oil Projects: Case of Eni and Mellitah Oil & Gas , Abdulhakim Giadedi

Determinants of Green Purchase Intentions of Saudi Consumers , Amani Mohammed Kaadoor

A Market Diffusion Potential (MDP) Assessment Model for Residential Energy Efficient (EE) Technologies in the U.S. , Momtaj Khanam

Exploring the Factors Influencing Big Data Technology Acceptance , Mohammad Nayemur Rahman

Determinants of Student Information Technology Adoption , Hans P. VanDerSchaaf

Narrowing the Cognitive Distance Between Engineers and Customers: a Novel Approach, Based on Fuzzy Cognitive Mapping , Byung Sung Yoon

Theses/Dissertations from 2019 2019

Development of a Readiness Assessment Model for Evaluating Big Data Projects: Case Study of Smart City in Oregon, USA , Husam Ahmad Barham

Evaluating Project Assessment Techniques for High-Profile Transportation Projects Development and Delivery: Case of State Departments of Transportation (DOTs) in the United States , Rafaa Ibrahim Khalifa

A Scoring Model to Assess Organizations' Technology Transfer Capabilities: the Case of a Power Utility in the Northwest USA , João Ricardo Lavoie

Theses/Dissertations from 2018 2018

Achieving Organizational Ambidexterity: an Exploratory Model, Using Fuzzy Cognitive Maps , Yasser Alizadeh

Exploring Technology Forecasting and its Implications for Strategic Technology Planning , Yonghee Cho

Assessment of Technology Adoption Potential of Medical Devices: Case of Wearable Sensor Products for Pervasive Care in Neurosurgery and Orthopedics , Liliya Stepanivna Hogaboam

Opportunity Identification for New Product Planning: Ontological Semantic Patent Classification , Farshad Madani

Developing a Mixed-Methods Method to Model Elderly Health Technology Adoption with Fuzzy Cognitive Map, and its Application in Adoption of Remote Health Monitoring Technologies by Elderly Women , Noshad Rahimi

Assessment of Policy Alternatives for Mitigation of Barriers to EV Adoption , Bilgehan Yildiz

Theses/Dissertations from 2017 2017

Technology Assessment Model of Developing Geothermal Energy Resources for Supporting Electrical System: the Case for Oregon , Ahmed Shehab Alshareef

Technology Planning for Aligning Emerging Business Models and Regulatory Structures: the Case of Electric Vehicle Charging and the Smart Grid , Kelly R. Cowan

Development of a Technology Transfer Score for Evaluating Research Proposals: Case Study of Demand Response Technologies in the Pacific Northwest , Judith Estep

Theses/Dissertations from 2016 2016

Consistency Analysis for Judgment Quantification in Hierarchical Decision Model , Mustafa Sulaiman Abbas

Exploratory Study of the Adoption and Use of the Smartphone Technology in Emerging Regions: Case of Saudi Arabia , Fahad Abdulaziz Aldhaban

A Measurement System for Science and Engineering Research Center Performance Evaluation , Elizabeth Carole Gibson

Developing a Hierarchical Decision Model to Evaluate Nuclear Power Plant Alternative Siting Technologies , Marwan Mossa Lingga

Theses/Dissertations from 2015 2015

Technological Forecasting Based on Segmented Rate of Change , Dong-Joon Lim

Network Structure, Network Flows and the Phenomenon of Influence in Online Social Networks: An Exploratory Empirical Study of Twitter Conversations about YouTube Product Categories , Nitin Venkat Mayande

Theses/Dissertations from 2014 2014

Evaluation of Energy Policy Instruments for the Adoption of Renewable Energy: Case of Wind Energy in the Pacific Northwest U.S. , Remal Abotah

An Assessment Model for Energy Efficiency Program Planning in Electric Utilities: Case of the Pacific of Northwest U.S.A. , Ibrahim Iskin

Participation in Technology Standards Development: A Decision Model for the Information and Communications Technology Industry , Ramin Neshati

Exploring Capability Maturity Models and Relevant Practices as Solutions Addressing IT Service Offshoring Project Issues , Rosine Hanna Salman

Multi-Perspective Technology Assessment to Improve Decision Making: A Novel Approach Using Fuzzy Cognitive Mapping for a Large-Scale Transmission Line Upgrade , Richard Chad Sperry

Green Index: Integration of Environmental Performance, Green Innovativeness and Financial Performance , Ilknur Mary Joy Nirmala Tekin

Theses/Dissertations from 2013 2013

An Investigation of Fast and Frugal Heuristics for New Product Project Selection , Fatima Mohammed Albar

Extending Technology Roadmap through Fuzzy Cognitive Map-based Scenarios: The Case of the Wind Energy Sector of Pakistan , Muhammad Amer

Developing a Strategic Policy Choice Framework for Technological Innovation: Case of Chinese Pharmaceuticals , Leong Chan

The Impact of Social Capital on Innovation Intermediaries , Songphon Munkongsujarit

Innovation Measurement: a Decision Framework to Determine Innovativeness of a Company , Kenny Phan

The Impact of Knowledge Inflows on the Performance of National Laboratories in Technological Latecomer Countries , Pattravadee Ploykitikoon

Assessment of Solar Photovoltaic Technologies Using Multiple Perspectives and Hierarchical Decision Modeling , Nasir Jamil Sheikh

Bridging the Missing Link between "Top-down" and "Bottom-up": A Strategic Policy Model for International Collaboration in Science and Technology , Pattharaporn Suntharasaj

Strategic Evaluation of University Knowledge and Technology Transfer Effectiveness , Thien Anh Tran

Theses/Dissertations from 2012 2012

Examining Health Information Technology Implementations: Case of the Patient-Centered Medical Home , Nima A. Behkami

Theses/Dissertations from 2011 2011

Study of the Performance and Characteristics of U.S. Academic Research Institution Technology Commercialization (ARITC) , Jisun Kim

Theses/Dissertations from 2009 2009

A Systematic Approach to Developing National Technology Policy and Strategy for Emerging technologies , Pisek Gerdsri

Theses/Dissertations from 2004 2004

Technology Forecasting Using Data Envelopment Analysis , Oliver Lane Inman

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RESEARCH AT THE LEADING EDGE

Doctoral Studies in Information Systems & Management

Ph.D. Studies in Information Systems & Management

The doctoral program in Information Systems & Management at Carnegie Mellon University's Heinz College prepares students with a deep understanding of the technical and organizational aspects of information systems.

At Heinz, we live and work at the critical nexus of information technology and public policy. Our Ph.D. in Information Systems & Management was created to train scholars to conduct innovative research that cuts across disciplines in order to address significant challenges in IT theory, strategy, management, and design as it relates to business and policy settings. 

Heinz College Ph.D. students enjoy close partnerships with faculty as they explore the complex and exciting interconnectedness of information systems, public policy, and management. Upon graduating, our Ph.D.s receive desirable placements at academic institutions, government agencies, and consulting firms.

KEY RESEARCH AREAS

Doctoral students take on a broad range of topics and problems, but some key areas of strength at Heinz College include:

As technology enables most content to be digitized, it is also upending business models, competition, and policy needs. From electronic health records, to streaming music and videos, to online social networks, digitization is rapidly affecting every part of the user experience, generating new jobs, and displacing old ones. Our faculty is working on a variety of projects under this broad umbrella. Some major projects are examining the role of social networks, online piracy, digital distribution, impact of mobile, the role of online education, and so on. Faculty and students use variety of methods like field experiments, analytical and structural models to study these questions.

Michael D. Smith and Rahul Telang are world recognized experts on the media industry and copyright policies who also head the IDEA research center.

Beibei Li is an expert on social media, mobile marketing, and understanding individuals’ online and offline decision making. 

Pedro Ferreira works on how people use technology in media and education, and is an expert on running randomized experiments.

Ramayya Krishnan  applies operations research tools to a variety of problems in this domain.

Our world-renowned faculty extensively works with both private firms and policy makers.  

We have multiple research centers like  IDEA ,  LARC , and  iLab  which collect large quantities of data to examine these issues.

Growth of big data has offered opportunities for development and application of novel statistical and computational methods for solving societal problems such as crime, policing, fraud detection, health care and more. To be able to use this data requires cutting edge work on developing new methods and machine learning algorithms. Heinz College has some of the top faculty who work at the intersection of machine learning and public policy.

Some key faculty members working in this space are Leman Akoglu , George Chen , Jeremy Weiss , and David Choi . Each of them is working on problems that intersect the need to use Machine Learning method to solve critical societal problems.

We also offer a joint degree in Machine Learning and Public Policy.

Data security and privacy has increasingly become a complex issue that goes beyond mere technology. Faculty at Heinz College are working on understanding users’ security and privacy decisions using economics, behavioral economics, and data analytics frameworks. This leading edge research is at the forefront of designing better tools and better regulations.

Alessandro Acquisti is an expert on economics of privacy and has done path-breaking work in this space.

Rahul Telang ’s work illustrates that firms may not do enough to protect user data, and highlights how we should design our policies.

Leman Akoglu uses large-scale data to understand our security and privacy vulnerabilities.

This group also works closely with faculty from CyLab , an interdisciplinary research center. This work is highly influential, widely cited, and extensively funded.

This group's research is motivated by information technology's important role in improving health care for patients, hospitals, and doctors. Technology is extensively used in detecting outbreaks, in providing superior quality of care at lower costs, and in prevention of medical errors.

Rema Padman studies IT adoption in hospitals and physical practices. 

Rahul Telang studies the role of electronic health records.

Martin Gaynor is a world-renowned expert on health policy and examines how technology can help improve policy outcomes.

Amelia Haviland examines the role of insurance policies and how they affect patient welfare.

As in other domains, our work on health care and IT is highly influential and has led to significant publications and extensive funding.

Ph.D. Curriculum

The pre-dissertation stage of the Ph.D. in Information Systems & Management is structured around two sets of requirements: coursework and preliminary papers.

Coursework is designed to build methodological skills, modeling competence, and substantive depth.

Preliminary papers illustrate your ability to produce effective research that exhibits your readiness to begin the dissertation.

• A three-semester   Ph.D. Seminar Series   focusing on the research process
• Two semesters of   Advanced Electives offering depth in specialized fields
• Quantitative Methods Cluster   of courses in statistics, econometrics, and machine learning
• Two semesters of coursework in   Social and Policy Sciences
• Concentration Area Requirement , combining research and courses to support your research agenda and long-term professional objectives
• Two semester-long  Technology Classes

Admission to candidacy means that all requirements of the Ph.D. program preliminary to the dissertation have been fulfilled. In addition to satisfying all coursework requirements, you must also meet the following research requirements:

• First- and second-year Research Papers meeting current Ph.D. requirements
• Dissertation focused on Information Systems topic as per judgment of Ph.D. committee

While fulfilling these requirements, you'll work closely with the faculty to develop individualized programs of study and research that meet your goals.

Theses and Dissertations (School of Computing)

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• PhD in Information Systems

We welcome graduates with good academic potential and strong interest in research to be a part of the premier research-based programme leading to a doctoral degree.

Students in this programme spend the first two semesters on advanced courses before embarking on a research project that culminates in a research dissertation.

Detailed information on the research interests of our faculty members can also be found  here .

Structure of Programme

All graduate research students are admitted directly into a full-time graduate programme that leads to either:

• Doctor in Philosophy (PhD), if the candidate passes the Qualifying Examination (QE); or
• Master of Science (MSc), if the candidate fails the Qualifying Examination but is allowed to complete as an MSc candidate

PhD students admitted from August 2018 intake onwards to the  Department of Information Systems and Analytics (DISA)  will follow the structure for the IS PhD programme:

Coursework Requirements

All IS PhD candidates are required to complete four out of five foundation courses (16 units), spanning the different streams of IS research. For students who plan to work on economics of IS, design science, or data mining research, they can take relevant elective courses from the Computer Science or Economics departments in the first year. IS PhD candidates will also have the flexibility to select elective courses (24 units) that are relevant to their own study and research plan. For the elective courses, at least 16 units must be at level 6000, and at least 8 units must be from School of Computing.

PhD Qualifying Examination (QE)

The QE is to be taken by all postgraduate students, and the PhD candidate must pass his/her QE 18 months after admission. A maximum of two attempts will be allowed. Candidates are allowed to take the QE earlier than the specified period. There is no exemption of the QE. The PhD QE will be offered twice a year, e.g., in January/August for IS candidates. The research scholarship will be terminated the moment a student fails the QE. The student will complete the rest of the degree requirements as an MSc candidate.

The PhD QE for IS PhD students will be assessed through the Graduate Research Paper (GRP) after their first year of PhD study. The GRP should highlight the importance and novelty of the proposed research problem, and demonstrates sufficient knowledge of related literature and research methods, with the potential of publications in top journals or conferences.

PhD Thesis Proposal / Doctoral Seminar

The Thesis Proposal is an important component of the PhD programme. It should highlight the significance of the research topic, its goal, the approach adopted, and work to be done. It should be precise and convincing to the examiners that the candidate is proposing a novel area of research and the goal is achievable.

PhD candidates are encouraged to attempt the Thesis Proposal by their 5th semester of PhD study. A PhD candidate must pass his/her thesis proposal by the end of Year 3. The proposal will be examined by two faculty members of SoC familiar with the area of research in the proposal. A maximum of two attempts are allowed.

The PhD candidature of a student will be terminated if s/he fails to pass the Thesis Proposal. This student, subject to the approval of the School, may proceed to obtain an MSc degree by completing a dissertation and meeting all the requirements of an MSc degree.

The Thesis Proposal comprises of an open seminar presentation (doctoral seminar), followed by a close-door oral examination.

The presentation is a public talk open to both staff and students, and should take about 30 to 40 minutes. The seminar, which should include any research findings or work from published papers, will be graded on a satisfactory/ unsatisfactory (S/U) basis.

A close-door oral examination will follow after the seminar presentation. The student is expected to answer satisfactorily any questions raised by the evaluators

PhD Defense

The PhD Defense will be pre-scheduled when the candidate submits his/her thesis. It will comprise of an open seminar presentation, followed by a close-door oral examination.

Seminar presentation should take about 30 to 40 minutes. This will be a public talk open to both staff and students. After the presentation, a 10-minute Q&A session will be available for the public.

A close-door oral examination will follow after the seminar presentation. The student is expected to answer satisfactorily any questions raised on the subject matter pertaining to her/his research thesis and related subjects.

This oral examination will be conducted by a 3-member panel that is chaired by the Head or nominee.

Duration of Programme

The maximum candidature period inclusive of periods of approved study leave for PhD programme is 5 years

Language of Instruction

The language of instruction for the graduate programmes is English.

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School of Computing and Information Science

Meetha james successfully defends sie phd thesis.

On April 12 2024, Meetha Nesam James Ravindran Santhakumar successfully defended her PhD thesis titled “”TOWARDS A PLEASURABLE FOOD EXPERIENCE: INFLUENCING PEOPLE’S LIKING, TASTE PERCEPTIONS, AND MEDIATED EMOTIONS USING AUGMENTED FLAVOR EXPERIENCES”.

She was advised by Dr. Nimesha Ranasinghe.  Drs. Kate Beard, Nick Giudice, Silvia Nittel and Mary Camire served on her committee.

Ph.D in Information Technology

Programme information.

Required Credits/Units:  360

The Unicaf University Malawi PhD in Information Technology is an integrated programme awarded on the basis of a research dissertation (240 credits) and also incorporates a preparatory taught element (120 credits) that provides students with the necessary tools to undertake their research, appreciate current research issues in the field of Information Technology, and assume future leadership roles in their respective institutions. It is the field of focus of the dissertation (67% of total credits), rather than that of the taught modules (33% of total credits) which imparts the name “Information Technology” to the qualification.

Programme Outline

Foundation courses.

Course Information

Related courses.

Doctorate of Business Administration (DBA)

Ph.D in Business Administration

BSc in Supply Chain Management and Logistics

Master of Business Administration (MBA) – Finance

School of Electrical and Computer Engineering

College of engineering, ph.d. dissertation defense - yash-yee logan.

Title:   Data-Centric Approaches for Exploiting Meta-Information and Mitigating Model Regression to Aid Neural Networks Committee: Dr. Aaron Lanterman, ECE, Chair, Advisor Dr. Vince Calhoun, ECE Dr. May Wang, BME Dr. David Anderson, ECE Dr. Pamela Bhatti, ECE  

Graduate Education

Office of graduate and postdoctoral education, phd defense by ben metcalf, may 1, 2024.

In partial fulfillment of the requirements for the degree of

Doctor of Philosophy in Bioinformatics

in the School of Biological Sciences

Benjamin Metcalf

Defends his thesis:

The Interrelationship Between Bacterial and Societal Factors Drives Pneumococcal Transmission and Disease Progression

Wednesday, May 1, 2024

BME Whitaker building, Room 1214

Thesis Advisor:

Dr. Sam Brown, Advisor

School of Biological Sciences

Georgia Institute of Technology Co-Advisor: Dr. Kristofer Wollein Waldetoft, Co-Advisor

Georgia Institute of Technology

Committee Members:

Dr. Marvin Whiteley

Dr. Joshua Weitz

Previous Affiliation: School of Biological Sciences

Georgia Institute of Technology Current Affiliation: School of Biology University of Maryland

Dr. Joe Lachance

Dr. Bernard Beall

Division of Bacterial Diseases

Centers for Disease Control and Prevention

Streptococcus pneumoniae (Spn) is a gram-positive opportunistic pathogen and a leading cause of bacterial pneumonia, meningitis, and sepsis worldwide. Spn is typically categorized by serotype and in most cases colonizes the nasopharynx asymptomatically (defined as carriage). On rare occasions, it can spread into normally sterile sites and cause severe infections known as invasive pneumococcal disease (IPD). Both the ability of Spn to cause these life-threatening illnesses ( i.e., its invasiveness) and the length of time in carriage ( i.e., its carriage duration) vary substantially across serotypes. IPD cases can occur in isolation or, occasionally, spread as localized outbreaks, often arising within disadvantaged communities like people experiencing homelessness (PEH) and people who inject drugs (PWID). In this dissertation, we seek to explore how pneumococcal life-history traits, host demographic factors, and the interrelationships between them can impact invasive disease at the population level.

In Chapter Two we show that variation in carriage duration can confound serotype invasiveness measurements and identify the best performing metrics for invasiveness. Our results also support previous work showing that when invasion occurs, it does so at or near the time of carriage acquisition. In Chapter Three we show that Spn transmission is host density-dependent, resulting in a stratification of serotypes by human population density. The fourth chapter provides evidence that the risk of IPD and IPD clustering is in part governed by human social conditions, with increased risks in disadvantaged populations. In the final discussion chapter, we provide a broader discussion of potential future directions of research, building on the work in this thesis.

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