Ph.D. Program in Information Systems & Operations Management
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Ph.D. Program in Information Systems & Operations Management
University of Illinois at Urbana-Champaign
The Ph.D. program for Information Systems and Operations Management (IS & OM)
areas is designed to train doctoral students to be scholars in leading business schools
engaged in rigorous research and teaching. The diverse interests of our faculty
members and the proximity to premier engineering and science programs, coupled
with the fundamentally interdisciplinary nature of inquiries in IS & OM, provide almost
infinite opportunities for students in the Ph.D. program to engage in a variety of
research topics while interacting with leading scholars in IS, OM, and related
disciplines. Many of our faculty members engage in the newly emerging research areas
of business analytics, healthcare, machine learning, software development, mobile
computing, crypto-currencies, social problems, etc.
Our faculty work closely with the Ph.D. students to help them evolve into high-quality
researchers. Students receive extensive training on theories and methodologies that are
essential to work on modeling-based and data-intensive problems in operations
management and information systems. Our Ph.D. program offers full tuition, full
medical insurance coverage, computing and travel support, and a generous stipend
during the full program of study. Ph.D. students of IS & OM come from various
academic and professional backgrounds including computer science, economics,
engineering, mathematics, physics, etc.
The IS & OM program resides in the Information, Operations, Supply Chain, and Analytics
(IOSA) area of the Department of Business Administration at Gies College of Business.
Consistent with the goals of the Department’s Ph.D. program, a majority of the
graduates choose to pursue academic careers— as much as 97% of graduates since 2005
entered academia. Several of the Department’s graduates find positions at leading
business schools and universities in the United States and around the world.
Why Illinois?
The University of Illinois at Urbana-Champaign is a world-renowned university that has
made innumerable contributions to the field of Science and Technology for more than
one-and-a-half centuries. The Gies College of Business has been furthering this
tradition in the fields of business and commerce for more than a century now. Given
our legacy of making innovations that have changed the world, it is the perfect place to
conduct research in the areas of Operations Management and Information Systems –
disciplines that are closely related to Science and Technology. The university is home to
“Research Park” where more than fifty Fortune 500 companies have located their
Research and Development offices. The Research Park provides an exceptional
opportunity for our researchers to work closely with large organizations on their most
1pressing problems. Besides, we are within a three-hour driving distance from three
metropolitans namely, Chicago, Indianapolis, and St. Louis, which provides additional
opportunities for researchers to develop ties with industries and working on real-life
problems. The Champaign-Urbana metropolitan area offers a diverse collection of rich
experiences for its residents.
Information Systems Area
The area of Information systems is dedicated to the development and management of
information systems technologies, as well as their use and their impact on
organizations and societies. Information systems serve as the backbones of modern
organizations, and interest in this discipline is steadily growing in academia and
practice. Given the dynamic nature of this field, new research problems continuously
emerge. Lately, the abundance of data and availability of computational abilities have
made possible the use of machine learning and artificial intelligence for designing
smart systems and sophisticated technologies. These systems change how
organizations and societies operate in ways that were unthinkable a decade ago.
Information systems is an interdisciplinary area that borrows theories and
methodologies largely from Economics, Econometrics and Statistics, Operations
Research, Psychology, Organizational Behavior, and Computer Science for solving
exciting research problems and suggesting new business models.
Operations Management Area
Operations Management (OM) focuses on designing and managing value-added
processes across various organizations involved in supplying goods or providing
services to meet end consumer needs. In particular, OM focuses on achieving
competitive advantage through efficient decision-making about sourcing, production,
distribution of goods and services. OM researchers analyze issues for a variety of
industries such as retail, healthcare, financial services, logistics, nonprofit and public
sectors. Emerging trends in OM are to explore implications of sustainability, shared
economy, e-commerce, blockchain, social networks on managing the supply chain and
operations of various firms. OM uses methodologies from Operations Research,
Economics, Econometrics, Statistics, Machine Learning, and Applied Probability for
analyzing interesting and practically relevant research problems that help efficient
decision making.
Application for Admission
Please visit https://go.gies.illinois.edu/ba-admissions for detailed information.
2List of Tenured/Tenure-track Faculty
Mehmet Ahsen
Ujjal Mukherjee
● Machine Learning
● Data Analytics
● Healthcare Analytics
● Healthcare
Gopesh Anand ● Data-driven decision making
● Operations Strategy
Sridhar Seshadri
● Continuous Improvement
● Stochastic Modeling and Applications in
Xin Chen Queueing Systems
● Pricing and Revenue Management ● Supply Chain Management and Revenue
● Supply Chain Management Management
● Optimization Under Uncertainty
Ramanath Subramanyam
Aravinda Garimella ● Management of IS Design Processes and
● Online Collaborative Communities IS Project Management
● Crowdfunding ● IT Sourcing Governance
● Online Education ● Digital Business Strategies
Abhijeet Ghoshal Vanitha Virudachalam
● Recommender Systems ● Service Operations
● Software Support ● K-12 Education Operations
● Information Privacy and Security ● Healthcare Operations
Wencui Han Yixin Iris Wang
● Healthcare IT ● Empirical Supply Chain Management
● Fin-Tech ● Human Interaction in Operations
Decisions
Brian Rongqing Han
● Field Experiment Han Ye
● Data-driven Optimization ● Data Analytics
● Service Operations
Anton Ivanov
● Healthcare
● User-generated Content
● Social Media Analytics
● Healthcare Informatics
H. Dharma Kwon
● Decision Analysis
● Stochastic Dynamic Games
● Industrial Organization
Mili Mehrotra
● Socially Responsible Supply Chain
● Healthcare
● Supply Chain Analytics
3Selected Publications and Grants (in no particular order)
Schecter, A., Wowak, K. D., Berente, N., Ye, H., & Mukherjee, U. “A behavioral
perspective on service center routing: The role of inertia,” Journal of Operations
Management (2021).
Mukherjee, U. K., Ball, G. P., Wowak, K. D., Natarajan, K. V., & Miller, J. W. “Hiding in
the Herd: The Product Recall Clustering Phenomenon” Manufacturing & Service
Operations Management (2021).
Gupta, D., Mehrotra, M., & Tang, X. “Gainsharing Contracts for CMS’ Episode‐Based
Payment Models,” Production and Operations Management (2021).
Mehrotra, M., & Schmidt, W. “The Value of Supply Chain Disruption Duration
Information” Production and Operations Management (2021).
Manica, M., Bunne, C., Mathis, R., Cadow, J., Ahsen, M. E., Stolovitzky, G. A., &
Martínez, M. R. “COSIFER: a Python package for the consensus inference of molecular
interaction networks,” Bioinformatics (2021).
Han, W., Wang, X., Ahsen, M. E., & Wattal, S. “The Societal Impact of Sharing Economy
Platform Self-Regulations - An Empirical Investigation,” Information Systems Research
(Forthcoming).
Dey, D., Ghoshal, A., & Lahiri, A. “Circumventing Circumvention: An Economic
Analysis of the Role of Education and Enforcement,” Management Science (2021).
Dey, D., Ghoshal, A., & Lahiri, A. “Support Forums and Software Vendor’s Pricing
Strategy,” Information Systems Research (2021).
Anand, G., Chandrasekaran, A., & Sharma, L. “Sustainable process improvements:
Evidence from intervention‐based research,” Journal of Operations Management (2021).
Kim, S. C., Arun, A. S., Ahsen, M. E., Vogel, R., & Stolovitzky, G. “The Fermi–Dirac
distribution provides a calibrated probabilistic output for binary classifiers,” Proceedings
of the National Academy of Sciences (2021).
Wang, Y. (Iris), Li J., Wu, D., and Anupindi R. “When Ignorance Is Not Bliss: An
Empirical Analysis of Subtier Supply Network Structure on Firm Risk,” Management
Science, (2021).
Ghoshal A., Hao J., Menon S., Sarkar S. “Hiding Sensitive Information when Sharing
Distributed Transactional Data,” in Information Systems Research (2020).
4Mukherjee U., Ball G., Wowak K., Natarajan K., and Miller J., “Hiding in the Herd: The
Product Recall Clustering Phenomenon,” Manufacturing and Service Operations
Management, forthcoming (2020).
Mehrotra M. and Natarajan K., “Value of Combining Patient and Provider Incentives in
Humanitarian Healthcare Service Programs,” Production and Operations Management
(2020).
Pochiraju B., Seshadri S., Thomakos D. D., and Nikolopoulos K. “Nonnegativity of a
Quadratic Form with Applications to Panel Data Estimation, Forecasting and
Optimization,” Stats. (2020).
Bhimasankaram, P. and Seshadri, S. (eds.) “Essentials of Business Analytics: An
Introduction to the Methodology and its Applications,” International Series in Operations
Research & Management Science (2020).
Ahsen M.E., Vogel R., and Stolovitzky G. “Unsupervised Evaluation and Weighted
Aggregation of Ranked Predictions,” Journal of Machine Learning Research (2019).
Schaffter T., (15 Authors), Ahsen M.E., (20 Authors), Stolovitzky G., “Evaluation of
Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening
Mammograms,” JAMA Network Open (2020).
Kerns S.L., (8 Authors), Ahsen M.E. “Radiogenomics Consortium Genome-Wide
Association Study Meta-analysis of Late Toxicity after Prostate Cancer Radiotherapy,”
Journal of National Cancer Institute (2020).
Losic B., (4 Authors), Ahsen M.E. “Deciphering immune and tumor clonal evolution
patterns in liver cancer,” Nature Communications (2020).
Ahsen M.E., Vogel R., Stolovitzky G. “R/PY-SUMMA: An R/PythonPackage for
Unsupervised Ensemble Learning for Binary Classification Problems in
Bioinformatics,” Journal of Computational Biology (2020).
Ahsen M.E. and others, “NeTFactor, a framework for identifying transcriptional
regulators of gene expression-based biomarkers,” Scientific Reports (2019).
Choobdar S., Ahsen M.E. “Assessment of network module identification across complex
diseases,” Nature Methods (2019).
Davis S., (2 Authors), Ahsen M.E. “Leveraging crowdsourcing to accelerate global health
solutions,” Nature Biotechnology (2019).
5Menden M., (13 Authors), Ahsen M.E. “Community assessment to advance
computational prediction of cancer drug combinations in a pharmacogenomic screen,”
Nature Communications (2019).
Gupta V., Han B.R., Kim S.H., and Paek H. “Maximizing Intervention Effectiveness,”
Management Science (2020).
Kwon H. D. “Game of Variable Contributions to the Common Good under Uncertainty,”
Operations Research (2020).
Sun R.T., Garimella, A., Han W., Chang H. L., and Shaw M. J. “Transformation of the
Transaction Cost and the Agency Cost in an Organization and the Applicability of
Blockchain—A Case Study of Peer-to-Peer Insurance,” Frontiers in Blockchain,
forthcoming (2020).
Gopesh A., Larson E.C., and Mahoney J. “Thomas Kuhn on Paradigms,” Production and
Operations Management (2020).
Bavafa, H., Örmeci, E., Savin, S., and Virudachalam, V. “Surgical Case-Mix and
Discharge Decisions: Does Within-Hospital Coordination Matter?” Operations Research.
Forthcoming.
Grant: Ball G., Gray J., Siemsen E., Bavafa, H., Anand G., Park H., Blanco C., Nooh I.J.,
Mukherjee U., and Lugovoi, I. Food and Drug Administration. “Pharmaceutical Firm
Learning to Reduce Drug Quality Risks,” 2019-2021, $1,744,985.
Grant: Bose S., Ivanov A., Mukherjee U., Souryis S., Seshadri S., and Xu Y. Research
project funded by C3.ai DTI: “Dynamic Resource Management in Response to
Pandemics.”
Wang, X., Jiang, M., Han, W., and Qiu, L. Do Emotions Sell? Impact of Emotional
Expressions on Sales in Space-Sharing Economy. Production and Operations
Management. Forthcoming.
Sun, R., Han, W., Chang, H., and Shaw, M. Motivating Adherence to Exercise Plans
through a Personalized Mobile Health Application: An Enhanced Active Design
Research Approach. JMIR mHealth and uHealth. Forthcoming.
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