Ph.D. in Information Systems and Operations Management program

Program length

  • 90 credits
  • Full time: 4-5 years

Application deadline

  • December 31

Schedule format

  • Semester

University of Florida’s Ph.D. in Information Systems and Operations Management

The mission of the ISOM Ph.D. Program is to educate scholars who will make substantial contributions in their field of research. Our aim is to place our graduates in the top tier of research Universities – either these Universities are members of the Association of American Universities, or they are classified as R1 Universities (“Doctoral Universities – Highest research activity”) by the Carnegie Commission on Higher Education.

Learn more

Liangfei Qiu
PricewaterhouseCoopers ISOM Professor
Ph.D. Coordinator
352-294-7183
Email Liangfei

Jaleesa Dixon
Administrative Assistant
352-392-9600
Email Jaleesa

Ph.D. in Information Systems and Operations Management facts and figures

R1

Association of American Universities member with a high level of research activity.

$43K

Stipend plus a full-tuition scholarship available for Ph.D. candidates.

#14

In the world and #12 in the U.S. among business schools for published research.
Financial Times

A professor affiliated with the University of Florida Warrington College of Business' Business Analytics and Artificial Intelligence Center speaks to a crowd of faculty and students, including those from the UF Warrington PhD in Information Systems and Operations Management program

Focus of the program

Based on the program’s mission, our primary goal is to train graduate students to make original research contributions in their chosen field and subsequently to place them in academic research environments. The major areas of study within the Department are: Information Systems/Information Technology (IS/IT) and Operations Management (OM).

Research

The job prospects, and lifelong scholarly contributions, of a Ph.D. student are positively correlated with the training the student receives in the Ph.D. program. While the doctoral seminars are intended to expose students to different types of research, each student will be expected to develop a viable research program.

Faculty

The members of the ISOM faculty are well recognized for their expertise in Information Systems, Management Science/Operations Research, Statistics, and Operations Management. The ISOM Faculty Directory contains detailed information on individual faculty members, their courses and research interests.

Support

Students need three types of support to be successful in a Ph.D. program. The first type of support is structural. Students are provided with a work area, a personal computer, limited teaching responsibilities, and sufficient financial support.

The second type of support is research skill development. Depending upon student interest and background in the area of specialization, each student will be required to complete coursework to demonstrate research skill proficiency in the selected area. To gain experience in the application of these skills, students are expected to work closely with faculty members on research projects throughout the duration of the Program. Every student graduating from our program is expected to co-author several research articles with ISOM faculty members. As noted earlier, our department has a strong emphasis on research productivity.

The third type of support is social. The most important people in a Ph.D. program are your colleagues in the program. Our Ph.D. students are supportive. All students emphasize the collective success of the group. All of our students make a conscientious effort to help students from different cultures acclimatize to life in U.S.

Job placement

In the last eight years, we have successfully placed our doctoral students at the following domestic and international universities:

  • UNC-Greensboro
  • Iowa State University
  • University of Texas at Austin
  • Rutgers University
  • University of Rhode Island
  • University of Virginia
  • Tulane University
  • University of Hong Kong
  • Penn State University
  • California State University at East Bay
  • San Diego State University
  • Cleveland State University
  • Babson College
  • Xi’an Jiatong University
  • National Sun Yat-sen University
  • Georgia Southern University
  • University of Houston at Victoria
Two smiling PhD students.

Admissions

Applications to the Ph.D. Program are accepted annually for the fall term only.

Application Process

Complete your application no later than December 31st for fall admission in order to receive full consideration for financial aid.

There are five steps in the application and admission to the department of ISOM Ph.D. program. Some of them are the applicant’s responsibility; some of them are taken care of by the University (and/or the department); and some require inputs both from the applicant and the department/University. Understanding these steps correctly will make the process easier for you as well as us.

Step 1: Program fit

A very important question that you need to answer: Is our program right for you? Our department combines faculty in two areas: Information Systems and Operations Management. Check out our faculty in the two areas and their research. One easy way to do the latter is type down their name in Google Scholar and search.

Try to complete the following sentence: “I want to research in the area(s) of ________ and I can see the following faculty _______, ________ and _______ (the number could be more or less) who I can foresee as my advisors.”

If you are willing, you are welcome to visit the department to get a better feel (but most applicants live too far away to do so).

Consider the following question: Do you want to become what we expect you to be? At the end of the Ph.D., we want you to be successfully placed in tenure-track positions in top Universities [AAU or they are classified as R1 Universities (“Doctoral Universities – Highest research activity”) by the Carnegie Commission on Higher Education]. Our alumni are placed in Universities and not in the industry. If you are looking for the latter, our master’s program might be a better fit for you.

The application process is highly competitive. That is because we fully support our Ph.D. students. That means, you get a full tuition waiver and a generous assistantship (possibly the best in the nation), so the number of admitted students is limited to just two or three. Our philosophy is full support (financial, as well as mentorship and advice) for every student, so we have to be very selective.

Step 2: Application

The deadline is December 31st. Take note of all the steps. Note that there are some minimum requirements for standardized tests (the only time we will make exceptions for the requirements is if we have a truly exceptional candidate as judged by his/her other dimensions), but the scores of the students who are finally accepted are often much higher than those minimums.

Applications are handled centrally at the University of Florida, not by the department.

Students in the Ph.D. program are admitted only in Fall.

After your applications are received by the deadline (December 31st), the department gets involved. We download all your applications in one go and start evaluating them.

Step 3: Evaluation

The department evaluates the applications during the month of February. First, the graduate coordinator of the Ph.D. program reads all the applications and shortlists the more promising ones. This happens over the first 2-3 weeks of February.

Then, the shortlisted applicants are called for an individual interview. For applicants who are geographically far away, the preferred method of interview is over Skype. The interviews are typically over by the end of February (or latest, the first week of March). The result of the interviews is a smaller shortlist, of around 6-10 applicants. The characteristic of the people in the final shortlist is that we would be happy to have any one of them as a Ph.D. student in our program.

Step 4: Ranking of candidates

In early March, the graduate coordinator of the Ph.D. program sends the applications of the final shortlisted applicants to all the faculty in the ISOM department for their feedback. Once the feedback is collected (in about 1 week), the coordinator makes a ranking of the candidates.

Step 5: Offers and acceptance

Mid-March to mid-April, depending on the number of offers that we can make (usually two every year), we invite the candidates at the top of the list with an offer to join the Ph.D. program. If one of them declines, we move further down the list – and so on down the list.

The first offers usually go out by the middle of March, and the process of admissions for a year usually concludes by the middle of April (or sooner).

Admission requirements

Academic Achievement

Applicants for the Ph.D. in ISOM must have, at a minimum, an undergraduate degree prior to entering the program. It is also expected that applicants will have a history of academic excellence.

The minimum level of academic achievement is a Grade Point Average (GPA) of 3.0 for the last two years of undergraduate work before graduation, though successful applicants have average scores significantly higher. The average GPA of recent admissions has been 3.8. A master’s degree is not required prior to admission, but a master’s degree in a core social science discipline (economics, engineering, mathematics, operations research, psychology) is beneficial.

Standardized Test Scores

The minimum requirements are: a score of 650 on the Graduate Management Admissions Test (GMAT), or 310 (verbal + quantitative) on the new revised version of the Graduate Record Examination (GRE), or 1350 on the old version of the GRE.

Finally, it is critical that the applicant be able to communicate clearly in written and spoken English. International students must submit an English proficiency test. Check the UF Admissions website for minimum scores and exemptions.

Letters of Recommendation

The applicant must submit letters of recommendation from three faculty members or others familiar with the academic potential of the applicant. Letters should speak primarily to the academic prowess of the applicant.

Frequently asked questions

Answers to our most frequent questions about the University of Florida’s Ph.D. in Information Systems and Operations Management.

Admission letters/emails will be sent out around March 15th.

No.

No.

The University of Florida requires proficiency in spoken and written English and accepts the results of the Test of English as a Foreign Language (TOEFL) the Michigan English Language Assessment Battery (MELAB) or the International English Language Testing System (IELTS).

Minimum scores acceptable for admissions are:

  • TOEFL: 550 (paper test); 80 (internet based)
  • IELTS: 6
  • MELAB: 77

Please note: The TOEFL ITP is not accepted for admission purposes.

International applicants are exempt from the English proficiency requirement if enrolled for one academic year in a degree-seeking program at a recognized/regionally accredited university or college in a country where English is the official language prior to your anticipated term of enrollment at UF, or if you are from one of the exempt countries.

Further, Florida law requires all non-U.S. students who are going to be graduate teaching assistants (which you will be, at some point of time, if you join our Ph.D. program) – even if exempted from the IELTS, MELAB and TOEFL requirement – to prove adequate command of the English language. This requirement can be met later after joining the program.

There can be no exceptions to these requirements.

Yes. We fully support our Ph.D. students. That means, you get a full tuition waiver and a generous assistantship (possibly the best in the nation) – but that also means that the process is highly competitive. We admit only two students every year on average.

Initially, it will be mainly coursework and research. The details will vary from one student to another, because you will typically have different research interests. Some of you might become teaching assistants to faculty who are teaching some courses, and will be expected to help in the grading of assignments and exams (typically a few hours a week). You are also expected to help out in administrative work once in a while (typically a few hours every semester).

Your main duties typically start in your third year, when we expect you to teach a few classes. Typically, you will teach two to three classes over your entire stay in the Ph.D. program. This is because we want you to get prepared for becoming a member of the faculty of an elite University upon graduation.

Other than that, we expect you to be wholeheartedly devoted to your research, and we intend to give you every tool and opportunity for you to succeed.

At the end of the Ph.D., we want you to be successfully placed in tenure-track positions in top Universities [AAU or they are classified as R1 Universities (“Doctoral Universities – Highest research activity”) by the Carnegie Commission on Higher Education]. Our alumni are placed in Universities and not in the industry. If you are looking for the latter, our master’s program might be a better fit for you.

University of Florida President Fuchs presenting to a classroom of PhD ISOM students.

Courses and curriculum

Although the exact schedule of courses/milestones is personalized and based on a student’s prior background, a typical program of study for new students is based on the assumption that the student has the required background in Business, Calculus, and Computer Programming.

The program could be appropriately tailored to specific students’ needs. Students can substitute one course for another provided they give proper justification as to why such substitution is important to achieving their academic goals.

Courses

Contemplate the significance of various technological developments that streamline how organizations and supply chains operate before thinking about how you can enrich these processes or tackle pressing issues.

Core courses


Analysis of Algorithms

Creating techniques that will enable a computer to perform a certain task in an efficient manner.

Econometric Methods and Models

Introduces some of the foundational models and methods in econometrics.

Game Theory

An in-depth study of modern game theory.

Game Theory Applied to Business Decisions

Learn how game theory is involved in many business decisions.

Information, Incentives, and Agency Theory

Studies the role of information and incentives in cooperation between individuals.

Introduction to Theoretical Statistics I

Covers probability, counting rules, and conditional mass and density functions.

Linear Algebra

Includes both theory and computational skills in linear algebra.

Linear Programming and Network Optimization

Formulation and solution techniques for network flow and linear programming problems.

Mathematical Methods and Applications to Economics

Covers linear algebra topics.

Microeconomic Theory

An in-depth examination of a variety of topics in microeconomic theory.

Models for Supply Chain Management

Covers essential elements of supply chain design and operation.

Modern Analysis

Intended to sharpen critical thinking and writing skills generally.

Multivariate Statistics

Gain a clear understanding of the development of statistical techniques for analyzing large data sets.

Statistical Methods in Research I

Introduces data analysis tools and trains students in statistical tools associated with hypothesis testing and linear models.

Statistical Methods in Research II

Builds on the knowledge learned in Statistical Methods in Research I.

Stochastic Systems Analysis

Gain analytical techniques for modeling, analyzing, and processing electrical signals and computer data.

Courses & program requirements

2 Fall semesters, 2 Spring semesters, and 1 Summer semester:

Methodological Coursework

  • MAS 4105 Linear Algebra (4)
    • This course could be waived, provided students pass a written exam in the course material.
  • One of:
    • STA 6166 Statistical Methods in Research I (3)
    • STA 6167 Statistical Methods in Research II (3)
    • An equivalent research methods course (3)
  • MAA 5228 Modern Analysis I (3)
  • ECO 7408 Mathematical Methods and Applications to Economics (2)
  • One of:
    • ECO 7404 Game Theory (2)
    • ECO 6409 Game Theory Applied to Business Decisions (2)
  • Any four of the following six courses:
    • ECO 7119 Information, Incentives, and Agency Theory
    • ECO 7115 Microeconomic Theory (3)
    • ESI 6417 Linear Programming and Network Optimization (3)
    • STA 6326 Introduction to Theoretical Statistics I (3)
    • ESI 6546 Stochastic Systems Analysis (3)
    • COT 5405 Analysis of Algorithms (3)
  • One of:
    • AEB 7572 Econometric Methods II (3)
    • MAR 7626 Multivariate Statistics (3)

Substantive Coursework: IS/IT Students

  • Doctoral Seminars, as offered.

Substantive Coursework: OM Students

  • Doctoral Seminars, as offered.
  • ESI 6912 Models for Supply Chain Management (3)
  • One of:
    • ESI 6418 Extensions to Linear Programming (3)
    • ESI 6429 Introduction to Nonlinear Programming (3)

End of Summer A semester: Written Qualifying Exams

End of fall semester: Supplementary Methodological Coursework and Teaching Seminar

Supplementary Methodological Coursework and Teaching Seminar

  • BTE 7171 – Preparing to Teach in Business
  • Complete the remaining required coursework

Defend dissertation proposal.

All required coursework must be completed before the proposal defense can be scheduled.

Defend dissertation.

Some students may be able to complete all requirements, including completion of the dissertation in four years. For such students it is expected that they will have at least one research paper in the second round or better in a high-quality research journal.

Some courses students might want to audit these courses (if they lack understanding in these areas):

  • ISM 6257 Intermediate Business Programming (2
  • ISM 6258 Advanced Business Programming (2)
  • ISM 6259 Business Programming (2)
  • MAN 6528 Logistics/Transportation (2)
  • MAN 6573 Purchasing (2)
  • MAN 6511 Production Management Problems (2)
  • MAN 6581 Project Management (2)

Students will be required to attend all of the Department’s Research Workshops (regardless of area of specialization) held at the University of Florida.

During the program, there is an opportunity for students to take elective courses depending upon their chosen specialization, research methodology, or supplementary fields of research/teaching interest. Typically, these courses will be graduate courses in Computer Sciences, Mathematics, Statistics, and/or Systems and Industrial Engineering. Before taking any of these courses, students need to obtain the approval of the Chair(s) of the Dissertation Committee and/or the Ph.D. Program Coordinator.

Any student signing up for Research credits in a semester must obtain the approval of the Chair(s) of their Dissertation Committee and/or the Ph.D. Program Coordinator.

For all other methodological courses students must obtain a minimum grade of B. If they fail to do so, questions based on one or more of these courses might be included in the written qualifying exam or they may have to take a separate exam covering the material introduced in these courses, at a later point in time.

In general, the students should distribute copies of their research papers to the committee two weeks before the presentation date. This includes the research paper, proposal defense, and the final dissertation defense.

Review the Graduate Student Handbook for details on the requirements of the program.

Qualifier Exams

There are two components of the qualifier exams, the written qualifying exams and the oral qualifying exam/research paper.

To be taken during the beginning of summer, typically by June, between the student’s second and third year.

These exams will consist of open-ended research questions based on the research seminars, and additional readings prescribed by faculty members. Each faculty member will give one exam lasting maximum of four hours. Grades for each of the qualifying exam taken (i.e. given by each professor) will be based on a scale of High Pass (HP), Pass (P), Low Pass (LP), and Fail (F).

To satisfactorily pass the exam, the student will need to obtain a HP or P score on all sections of the qualifying exam. If this is not the case, then the Ph.D. coordinator will convene a faculty meeting to discuss the results of the qualifying exam. The outcome of the meeting will be one of the following:

  • The student will be given one additional chance (i.e., retake the sections of the qualifying exam for which the assigned score was a LP or F or some other remedy suggested by faculty). If the student’s second attempt is also deemed unsatisfactory, the student will be asked to leave the doctoral program.
    Or,
  • The student will be asked to leave the doctoral program.

If the decision is to ask the student to leave the doctoral program, he/she has the option to continue taking courses to complete the requirements for the MS-ISOM degree.

Must be presented no later than Fall Semester of third year.

Students must prepare and present a research paper to faculty members to demonstrate their research skills. Students are required to identify a faculty committee (of two faculty members) by the end of the spring semester of their second year. In evaluating this paper and the presentation, the faculty committee will focus primarily on the originality of the research and/or the research plan, the model and/or the methodology involved, the potential for current or future publication, the ability to think creatively, and to communicate and carry out research independently. A student will have satisfactorily completed this requirement when a majority of faculty members on the committee agree that the research paper satisfies these requirements. After evaluating this paper, the committee will make specific suggestions for improvement. A student who does not satisfy this requirement might be given one additional semester to revise the paper based on the faculty committee’s recommendations. If given the extension, he/she will be asked to resubmit the paper and make a presentation to the committee by the end of the extension period. If this revised paper/presentation is evaluated as being unsatisfactory by the majority of faculty on the committee, the student will be asked to leave the doctoral program but can continue taking courses to obtain an MS-ISOM degree.

Since the focus of the Program is to produce high-quality researchers with active streams of research, the students need to satisfactorily pass both the written qualifying exams and the oral qualifying exams/research paper requirement in order to be admitted into Candidacy.

Three men sitting at a table around a monitor discussing research.

Research

The job prospects, and lifelong scholarly contributions, of a Ph.D. student are positively correlated with the training the student receives in the Ph.D. program.

Research expectations

While the doctoral seminars are intended to expose students to different types of research, each student will be expected to develop a viable research program consisting of the following elements:

Students will target the following research agenda:

  • one viable research project by May 15 of year two in the Ph.D. program;
  • two viable research projects by May 15 of year three in the Ph.D. program;
  • three viable research projects by May 15 of year four in the Ph.D. program.

It is strongly encouraged that a minimum of two faculty collaborators will participate across the three projects.

A viable research project has the following characteristics:

  • a project proposal (faculty verified);
  • it is at least 30% complete (faculty verified)
  • is likely to be publishable at a second-tier journal or better (faculty verified), provided it is successfully executed.

Student progress will be officially assessed in May of each academic year. To assess student progress, the Graduate Coordinator will contact the student and/or faculty advisors. A record of student progress will be maintained.

A student with an insufficient number of viable projects will work with the Graduate Coordinator to identify research projects and/or faculty collaborators. A student with an insufficient number of viable projects, and a given target date, will have three months to remedy the situation. Students that cannot remedy the situation in three months will be put on probation. Students that cannot remedy the situation in six months will be asked to leave the doctoral program but can continue taking courses to obtain an MS-ISOM degree.

Dissertation proposal and defense:

Students must prepare and present their dissertation proposal to faculty members to demonstrate their research skills. Students should have approximately two thirds of their research completed prior to the dissertation proposal. Students can defend their dissertation when they have completed the remainder of the thesis.

A man in professional attire speaking in front of an audience.

Financial information

Financial support can be offered as a graduate assistantship or fellowship. An assistantship is a salaried position that requires the student to support a faculty member in research and/or teaching. Standard assistantships require a time commitment ranging from 10 hours to 13.5 hours per week. A fellowship is a salaried position that does not have a work requirement. A fellowship allows a student to devote more time to research activities.

Graduate Assistantships provide opportunities for graduate students to work on a part-time basis under the supervision of one or more faculty members in duties related to instruction, research, or professional service. Students who hold graduate assistantships are required to enroll for a minimum number of credits, corresponding to the amount of their assistantship appointment. Graduate assistantships typically are awarded by the student’s academic department depending upon funding availability and program needs.

The retention of assistantships and fellowships is predicated on satisfactory academic progress as well as satisfactory performance of assigned tasks. The Department does not guarantee continuous funding for graduate students, nor any minimum number of semesters of aid. Most assistantships and fellowships, however, are extended for a duration of four years. Students holding at least quarter-time graduate assistantships or fellowships paying at least $3,150 per semester are eligible for in-state or out-of-state tuition waivers up to the minimum credits required for full-time enrollment. Tuition waivers for each semester will be granted to qualifying assistants and fellows, provided they maintain a 3.0 GPA and are employed on or before the first day of classes through the end of final exams. Tuition waivers do not cover fees associated with registration (approximately $400 per semester).

Applications for graduate assistantships and fellowships are made by submitting all application materials to the department and be eligible for admission by February 1. The host department will identify qualified applicants and compete for resources at the College and University level. Historically, fellowship winners have had a high GPA (3.75 or above on a 4-point scale), outstanding test scores (680+ on the GMAT or a combined score of 1410+ on the verbal and quantitative portions of the GRE), and evidence of research potential.

International students must have a F1 or J1 visa to receive an assistantship.

Visit the Graduate School funding page and the Graduate Catalog financial aid page for other sources of information on fellowship and assistantships.

Visit the Graduate Catalog financial information page for more details.

Visit the Student Financial Affairs website for applications and information concerning educational loans.

Ph.D. students may enroll in GatorGradCare health insurance.

Student testimonial

UF Warrington PhD in Information Systems and Operations Management Alum Hongseok Jang (Ph.D. ’21)

I was able to form research relationships with a distinguished faculty in a collegial atmosphere. They strongly encouraged me to begin my first research project immediately after admission and to explore research ideas without any restriction during my Ph.D. program. In particular, ISOM Ph.D. seminars provided by our faculty members fostered my research idea generations and discussions with my colleagues. When I was [in] the job market, all ISOM faculty spared no effort [in] sharing their knowledge and experiences with me for improving my job market paper presentation and interviews.

Hongseok Jang (Ph.D. ’21)
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Ph.D. students and alumni

Meet our current students, students who are available for hire and graduates of our program.

6th year

Vincent Ruidong Zhao
Stuzin Hall 355B
352-392-5620 | Email

Vincent holds a B.Sc. in Economics and Finance from the Hong Kong University of Science and Technology and a M.S. in Business Analytics from Arizona State University. Prior to joining the doctoral program, he worked at Capital One as a Senior Data Analyst. His current research interests include Fake News management, IoT Technology, cybersecurity, and data analytics.

5th year

Jiayuan Tian
Stuzin Hall 361E
313-265-0834 | Email

Justin holds a B.A. in Math and Economics from Lafayette College and an M.S. in Data Science from Brown University. Prior to joining the doctoral program, he worked as a student researcher at the Center for Computation and Visualization at Brown University. His current research interests include machine learning, e-commerce, social media, and healthcare analytics.

Qili Wang
Stuzin Hall 355C
352-392-9600 | Email | Homepage

Qili holds a B.S. in Mathematics, a B.E. in Computer Science, and another B.E. in Information Management & Information Systems, all from Renmin University of China. He also earned his Ph.D. in Computer Science at the same university. Qili has a wide range of research interests, including Economics of Information Systems, Online Communities, Fintech, Artificial Intelligence, and Quantitative Marketing. In particular, he is quite interested in the interaction between decision-making and technological disruptions.

4th year

Jingyan Dai
Stuzin Hall 355F
352-392-9600 | Email

Jingyan holds a Bachelor of Economics from Shanghai University of Finance and Economics and a Master of Information Systems Management from Carnegie Mellon University. Before joining the doctoral program, she worked as a data analyst at Tencent Music Entertainment. Her current research interests include online platforms, data analytics, and information economics.

Xinzhi Rao
Stuzin Hall 355F
720-707-9570 | Email

Xinzhi Rao holds an M.S. in Statistics from Lehigh University; a B.A. in mathematics and a B.A. in Economics from the University of Colorado Boulder. Before joining the doctoral program, he worked as a research assistant at Lehigh University. His current research interests are economics of social media, online platform, quantitative marketing and causal inference.

3rd year

Yi Tong
Stuzin Hall 361E
352-392-9600 | Email

Yi holds a B.S. in Management Science and Engineering from Xi’an Jiaotong University. Her research interests include digital platforms and artificial intelligence.

Kaiyu Zhang
Stuzin Hall 361F
352-392-9600 | Email

Kaiyu holds a B.A. in Accounting from Shanghai University of International Business and Economics and a M.S. in Business Analytics from University of Rochester. Her current research interests include economics of information systems, digital platforms and artificial intelligence.

Shiwei Chai
Stuzin Hall 355B
352-877-1670 | Email
Shiwei holds an M.S. in Management Science & Engineering from Tongji University and a B.E. in Materials Science & Engineering from Chang’an University. Prior to joining the doctoral program, he was a Ph.D. student at the department of Industrial & Systems Engineering at the University of Florida. His research interests include queueing theory, stochastic control problems, and online-learning algorithms.

2nd year

Daehoon Jung
Stuzin Hall 355A
352-392-9600 | Email

Daehoon holds a Master of Science in Operations Management from Yonsei University and a Bachelor of Business Administration from Kookmin University. His current research interests include sustainable operations, non-profit operations, and fair trade.

Xiguang Liu
Stuzin Hall 361B
352-392-9600 | Email

Xiguang holds a Bachelor of Arts in Statistics and Psychology and a Master of Science in Biostatistics, both from Case Western Reserve University. Prior to joining the ISOM program, he was a Ph.D. student in the Department of Statistics at The Ohio State University. His research focuses on causal inference and machine learning, particularly in medical and public health applications, with a special interest in substance abuse.

Atoosa Shirkhani
Stuzin Hall 355A
352-392-9600 | Email

Atoosa holds a B.S in Industrial Engineering-System Analysis & Planning from Mazandaran University of Science & Technology and a M.S in Business Administration-Management of Information Systems from University of Tehran. Her research interests include Machine Learning, Social Technology, Healthcare Analytics, Digital Platforms, Economics of Information Systems.

Yi Su
Stuzin Hall 355C
352-392-9600 | Email

Yi holds a B.A. in Business English from the Shanghai University of Finance and Economics. Before joining our doctoral program, she pursued doctoral studies at Fudan University. Her research interests focus on human-AI interaction, digital platforms, and the economics of information systems.

1st year

Hongyu Chen
Stuzin Hall 361 E
(352) 392-9600 | Email

Hongyu holds a B.S. in Statistics from The Chinese University of Hong Kong, Shenzhen, and an M.S. in Information Systems from the University of Washington, Seattle. His research interests span human-AI collaboration, decision-making, FinTech, and artificial intelligence. He is particularly passionate about exploring how large language models (LLMs) can be applied in real-world business contexts to enhance organizational decision-making and drive innovation.

Shiwei Chai
Stuzin Hall 355B
352-877-1670 | Email

Shiwei holds an M.S. in Management Science & Engineering from Tongji University and a B.E. in Materials Science & Engineering from Chang’an University. Prior to joining the doctoral program, he was a Ph.D. student at the department of Industrial & Systems Engineering at the University of Florida. His research interests include queueing theory, stochastic control problems, and online-learning algorithms.

Vincent Ruidong Zhao
Stuzin Hall 355B
352-392-5620 | Email

Vincent hold a B.Sc. in Economics and Finance from the Hong Kong University of Science and Technology and a M.S. in Business Analytics from Arizona State University. Prior to joining the doctoral program, he worked at Capital One as a Senior Data Analyst. His current research interests include Fake News management, IoT Technology, cybersecurity, and data analytics.

Jiayuan Tian
Stuzin Hall 361E
313-265-0834 | Email

Justin holds a B.A. in Math and Economics from Lafayette College and an M.S. in Data Science from Brown University. Prior to joining the doctoral program, he worked as a student researcher at the Center for Computation and Visualization at Brown University. His current research focuses on the impact of emerging technology (digital platforms, AI) with profound societal and economic implications. Especially, he is also interested in how health IT transforms healthcare delivery and outcomes.

Qili Wang
Stuzin Hall 355C
352-392-9600 | Email | Homepage

Qili holds a B.S. in Mathematics, a B.E. in Computer Science, and another B.E. in Information Management & Information Systems, all from Renmin University of China. He also earned his Ph.D. in Computer Science at the same university. Qili has a wide range of research interests, including Economics of Information Systems, Online Communities, Fintech, Artificial Intelligence, and Quantitative Marketing. In particular, he is quite interested in the interaction between decision-making and technological disruptions.

GraduationStudentPlacement
2022Anurag GargUniversity of Kansas
2022Lucy ZhangAuburn University at Montgomery
2022Mariia PetrykGeorge Mason University
2022Xiang WanSanta Clara University
2022Honggang HuTongji University, China
2021Hongseok JangTulane University
2021Arunima ChhikaraUniversity of Kansas
2019Avinash GedaCleveland State University
2019Jingchuan PuPenn State University
2018Vashkar GhoshUNC-Greensboro​
2018Mahdi MoqriIowa State University
2017Xiaowei MeiThe Hong Kong Polytechnic University
2016Soohyun ChoRutgers
2016Gulver KaramemisUniversity of Rhode Island
2015Brent KitchensUniversity of Virginia
2015Yinliang TanTulane University
2014Chao DingUniversity of Hong Kong
2014Lan WangCalifornia State University at East Bay
2014Ruoxuan WangSan Diego State University
2014Nazli TurkenCleveland State University
2014Zhi LiBabson College
2013Shengli LiPeking University
2013Yu-Chen YangNational Sun Yat-sen University
2012Arda YenipazarliGeorgia Southern University
2011Juheng ZhangOakland University (visiting)
2011Yan QinUniversity of Houston at Victoria
2010Sean MarstonWestern Kentucky University
2009Michelle SerefVirginia Polytechnic Institute
2009Hong GuoNotre Dame
2009Wei ZhouESCP Europe, Paris Campus
2009Yipeng LiuUniversity of Scranton
2008Gaurav KapoorUniversity of Missouri – Kansas City
2008Yuwen ChenUniversity of Rhode Island
2006Jason DeaneVirginia Polytechnic Institute
2006Fidan BoyluUniversity of Connecticut
2006Selcuk ColakCukurova University, Turkey
2005Ling HeUniversity of North Carolina at Wilmington
2005Mark CecchiniUniversity of South Carolina
2005Eryarsoy EnesSabanci University, Turkey
2005Gerald BurkeGeorgia Southern University
2004Jonathan SmithUniversity of West Indies, Jamaica
2004Nihat KasapSabanci University, Turkey
2004Qian TangNational University of Singapore
2003Yi SunCalifornia State University – San Marcos
2002Kutsal DoganUniversity of Texas – Dallas
2002Haluk DemirkanArizona State University
2002Cheryl AasheimGeorgia Southern University
2001Pauline ChinFlorida Atlantic University
2001George BogerMurray University – Kentucky
2001Erjiang SunBusiness Management Consulting
2001Bulent CataySabanci University, Turkey
2000Lawrence NicholsonUniversity of West Indies, Jamaica
1999Joni JonesUniversity of Michigan – Business School
1998Jackie ReesPurdue University
1997Robert C. Norris Jr.University of North Florida
1996Jeffrey SchallerEastern CT State University
1994Taeho AhnSoongsil University, Korea
1994Raymond L. MajorVPI
1994Natalie SimpsonUniversity of Buffalo
1993Siddharth BhattacharyaSouthern Illinois University – Carbondale
1993Kiran GarimellaCentral State – Wilberforce
1993Haldun AytugMichigan Tech
1993Chrysanthus DealmeidaSt. Francis Xavier, Nova Scotia
1993Meltem Denizel-SivriMiddle East Tech University, Turkey
1992Serpil SayinBilkent University, Turkey
1992Oya IcmeliCleveland State University
A professor discusses a research method, pointing to data on a screen, to a classroom of students enrolled in UF Warrington's PhD in Information Systems and Operations Management program

Contact us

Ph.D. in Business Administration – Information Systems & Operations Management
Warrington College of Business
University of Florida
Phone: 352-392-9600
Fax: 352-392-5438

Questions?

Dr. Liangfei Qiu
PricewaterhouseCoopers ISOM Professor
Ph.D. Coordinator
352-294-7183
Email Liangfei

Jaleesa S. Dixion
Administrative Support Assistant II
352-392-9600
Email Jaleesa