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 the University of Michigan. 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 interests lie at developing data-driven decision-making methodologies through integrating machine learning theory and data-driven optimization algorithms, with emphasis on deriving their theoretical performance guarantees. My research problems are motivated by real-world needs with both societal impacts and interesting theoretical challenges.
Methodologies: Data-Driven Optimization, Sequential Decision-Making under Uncertainty, Human-AI Interfaces, Interplay of Statistics, Optimization, and Machine Learning.
Applications: Healthcare Operations and Public Policy, Digital Health, Precision Medicine, Applications of AI and Business Analytics 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. Pleae reach out over email if you are interested.
Selected Honors and Awards
Second place, POMS College of Healthcare Operations Management (CHOM) Best Paper Competition, 2024.
Research Grant Award ($1M) from NIH (AIM-AHEAD Program), Design & Assessment of Fair Algorithms for Counterfactual Explanations to Generate Digital Role Models for Patients with Type-2 Diabetes & 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 for an outstanding Ph.D. dissertation, 2019.
Selected Professional Service
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.
Judge for MSOM Service Operations SIG Conference and MSOM Healthcare Operations SIG Conference (2021, 2022, 2023, and 2024).
Judge for MSOM Best Student Paper Competition (2023 and 2024).