Keyvanshokooh, Esmaeil individual record
Assistant Professor
overview

Dr. Esmaeil Keyvanshokooh studies the research problems that lie at the interface of statistical machine learning, sequential decision-making, and data-driven dynamic optimization. In particular, he is broadly interested in developing personalized data-driven analytical methods for a wide range of healthcare and business analytics applications to yield insights and new functionality.

selected publications
Academic Articles14
  • Keyvanshokooh, E., Fattahi, M., Freedberg, K. A., & Kazemian, P. (2023). Mitigating the COVID-19 pandemic through data-driven resource sharing. Naval Research Logistics.
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  • Keyvanshokooh, E., Kazemian, P., Fattahi, M., & Van Oyen, M. P. (2022). Coordinated and Priority-Based Surgical Care: An Integrated Distributionally Robust Stochastic Optimization Approach. Production and Operations Management. 31(4), 1510-1535.
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  • Zhalechian, M., Keyvanshokooh, E., Shi, C., & Van Oyen, M. P. (2022). Online Resource Allocation with Personalized Learning. Operations Research. 70(4), 2138-2161.
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  • Darmian, S. M., Fattahi, M., & Keyvanshokooh, E. (2021). An optimization-based approach for the healthcare districting under uncertainty. Computers and Operations Research. 135, 105425-105425.
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Repository Documents / Preprints3
  • Zhalechian, M., Keyvanshokooh, E., Shi, C., & Van Oyen, M. P. (2020). Online Resource Allocation with Personalized Learning.
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  • Keyvanshokooh, E., Shi, C., & Van Oyen, M. P. (2019). Online Advance Scheduling with Overtime: A Primal-Dual Approach.
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recent teaching activities
Email
keyvan@tamu.edu
First Name
Esmaeil
Last Name
Keyvanshokooh