Esmaeil Keyvanshokooh
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Esmaeil Keyvanshokooh |
About Me
I am an Assistant Professor of Information & Operations Management at the Mays Business School, Texas A&M University. I am also a research affiliate faculty at Texas A&M Data Science Institute (TAMIDS) and Texas A&M Telehealth Institute. I received my Ph.D. degree in Operations Research in May 2021 from the University of Michigan, Ann Arbor. I earned an M.A. in Statistics from the University of Michigan, and a M.S. in Industrial Engineering and Operations Research from the Iowa State University. Before my Ph.D. studies, I worked as a Machine Learning & Operation Research Analyst at Norfolk Southern Corporation, Atlanta, Georgia.
About My Research Interests
My research focuses on developing data-driven decision-making methodologies that integrate machine learning (ML) theory, artificial intelligence (AI) tools, and optimization algorithms, with particular emphasis on establishing rigorous theoretical performance guarantees. I am especially interested in problems that not only present rich theoretical challenges but also arise from real-world needs with significant societal impact. By bridging theoretical foundations with practical applications, my work aims to produce research that is both theoretically elegant and practically relevant.
Methodologies: Sequential Decision-Making Methods, Data-Driven Optimization, Large Language Models, Human-AI Collaboration.
Applications: Healthcare and Public Policy, Service Operations, Digital Health, Precision Medicine, Applications of AI and ML for Societal Impacts.
More information on my work can be found on my Publication page and Google Scholar.
Academic Collaborators: I'm actively taking on more projects. If you have an interesting problem that intersects with some of my work and interest, or are looking for a new problem, please reach out over email.
Prospective Students: I'm always looking for PhD and master students with strong backgrounds in machine learning theory and data-driven optimization. Please reach out over email if you are interested.
Selected Honors and Awards
Mays Business School Emerging Scholar Award for Research Excellence, 2025.
Second place, POMS College of Healthcare Operations Management (CHOM) Best Paper Competition, 2024.
Research Grant Award ($1M) from NIH, Design and Assessment of Fair Algorithms for Counterfactual Explanations to Generate Digital Role Models for Patients with Type-2 Diabetes and Hypertension, 2023-2025.
Finalist, POMS College of Healthcare Operations Management (CHOM) Best Paper Competition, 2022.
Finalist, INFORMS MSOM Best Student Paper Competition, 2021.
Finalist, INFORMS Health Applications Society (HAS) Best Student Paper Competition, 2021.
Second place, INFORMS Decision Analysis Society (DAS) Best Student Paper Competition, 2020.
Winner, IOE Katta G. Murty Prize for Best Student Paper on Optimization, 2020.
Winner, IOE Richard C. Wilson Prize for Best Student Paper on Service Systems, 2019.
Winner, IOE Bonder Fellowship Award in Applied Operations Research, 2017.
University of Michigan Rackham Pre-doctoral Fellowship Award, 2019.
Selected Professional Service
Associate Editor, Decision Sciences, 2025–
Judge for MSOM Best Student Paper Competition (2023, 2024, 2025).
Judge for INFORMS Pierskalla Award for the Best Paper in Healthcare (2025).
Judge for POMS College of Healthcare Operations Management (CHOM) Best Paper Competition (2025).
Judge for MSOM Service Operations SIG Conference and MSOM Healthcare Operations SIG Conference (2021, 2022, 2023, 2024, 2025).
Journal Referee for Management Science, Operations Research, Manufacturing & Service Operations Management, Production & Operations Management, Journal of Operations Management, Naval Research Logistics, IISE Transactions, Healthcare Management Science, etc.
Research Grants
National Institute of Health (NIH), Design and Assessment of Fair Algorithms for Counterfactual Explanations to Generate Digital Role Models for Patients with Type-2 Diabetes and Hypertension ($293K).
TAMU Provost's Office Research Excellence Grant ($10K).
TAMU Mays Business School Research Excellence Grant ($15K).