Esmaeil Keyvanshokooh

Department of Information & Operations Management, Mays Business School, Texas A&M University, College Station, TX

210 Olsen Blvd

College Station, TX 77843

United States

  • Department of Information & Operations Management, Mays Business School, Texas A&M University, College Station, TX

SCHOLARLY PAPERS

6

DOWNLOADS

410

SSRN CITATIONS

1

CROSSREF CITATIONS

0

Scholarly Papers (6)

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1.

Online Advance Scheduling with Overtime: A Primal-Dual Approach

Number of pages: 43 Posted: 05 Apr 2019 Last Revised: 26 May 2019
Esmaeil Keyvanshokooh, Cong Shi and Mark P. Van Oyen
Department of Information & Operations Management, Mays Business School, Texas A&M University, College Station, TX, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering and University of Michigan at Ann Arbor
Downloads 216 (197,418)

Abstract:

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advance scheduling; online resource allocation; online algorithms; competitive analysis

2.

Online Resource Allocation with Personalized Learning

Number of pages: 64 Posted: 10 Mar 2020 Last Revised: 01 Mar 2022
Mohammad Zhalechian, Esmaeil Keyvanshokooh, Cong Shi and Mark P. Van Oyen
University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, Department of Information & Operations Management, Mays Business School, Texas A&M University, College Station, TX, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering and University of Michigan at Ann Arbor
Downloads 123 (315,166)

Abstract:

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online learning; online resource allocation; contextual bandit; regret analysis; advance scheduling; personalized healthcare services

3.

Coordinated and Priority-based Surgical Care: An Integrated Distributionally Robust Stochastic Optimization Approach

Number of pages: 54 Posted: 18 Nov 2020 Last Revised: 17 Aug 2021
Esmaeil Keyvanshokooh, Pooyan Kazemian, Mohammad Fattahi and Mark P. Van Oyen
Department of Information & Operations Management, Mays Business School, Texas A&M University, College Station, TX, Department of Operations, Weatherhead School of Management, Case Western Reserve University, Cleveland, OH, USA, Newcastle Business School, Northumbria University, Newcastle Upon Tyne, United Kingdom and University of Michigan at Ann Arbor
Downloads 71 (444,632)
Citation 1

Abstract:

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Healthcare Coordination, Access Delay to Care, Data-Driven Optimization, Multi-Stage Stochastic Optimization, Distributionally Robust Optimization.

4.

Mitigating the COVID-19 Pandemic through Data-Driven Resource Sharing

Posted: 02 Oct 2020 Last Revised: 31 Jan 2022
Esmaeil Keyvanshokooh, Mohammad Fattahi, Pooyan Kazemian, Maryam Zokaeinikoo and Kenneth A Freedberg
Department of Information & Operations Management, Mays Business School, Texas A&M University, College Station, TX, Department of Technology and Innovation, University of Southern Denmark, Odense, Denmark, Department of Operations, Weatherhead School of Management, Case Western Reserve University, Cleveland, OH, USA, Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA and Harvard Medical School

Abstract:

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Data-driven optimization, Simulation, COVID-19

5.

Data-driven Hospital Admission Control: A Contextual Learning Approach

Posted: 18 Aug 2020 Last Revised: 16 Aug 2022
Mohammad Zhalechian, Esmaeil Keyvanshokooh, Cong Shi and Mark P. Van Oyen
University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, Department of Information & Operations Management, Mays Business School, Texas A&M University, College Station, TX, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering and University of Michigan at Ann Arbor

Abstract:

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online learning, contextual bandit, regret analysis, readmission, data-driven admission control

6.

Contextual Learning with Online Convex Optimization with Applications to Medical Decision-Making

Posted: 31 Dec 2019 Last Revised: 14 Jun 2022
Esmaeil Keyvanshokooh, Mohammad Zhalechian, Cong Shi, Mark P. Van Oyen and Pooyan Kazemian
Department of Information & Operations Management, Mays Business School, Texas A&M University, College Station, TX, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, University of Michigan at Ann Arbor and Department of Operations, Weatherhead School of Management, Case Western Reserve University, Cleveland, OH

Abstract:

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online learning algorithms, regret analysis, contextual bandit, stochastic sub-gradient descent, personalized medicine, medical decision-making