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). I received my Ph.D. degree in Operations Research in May 2021 from the Department of Industrial & Operations Engineering of 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 novel data-driven decision-making methodologies through integrating statistical 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 practical impact and interesting theoretical challenges, aiming to establish theoretically elegant and practically relevant research.
Methodologies: Data-Driven Optimization, Online and Offline Learning Algorithms, Sequential Decision Making under Uncertainty, Interplay of Statistics, Optimization, and Machine Learning.
Applications: Healthcare Operations and Analytics, Personalized Medicine, Applications of Artificial Intelligence and Business Analytics for Social Impacts.
More information on my work can be found on my Publication page and Google Scholar.
Selected Honors and Awards
My research has received several recognitions, including:
Research Grant Award from the National Institutes of Health (NIH)'s AIM-AHEAD Consortium Development Program, Design and Assessment of Fair Algorithms for Counterfactual Explanations to Generate Digital Role Models for Patients with Type-2 Diabetes and Hypertension, 2023.
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, and 2023).