Esmaeil Keyvanshokooh

University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering

500 S. State Street

Ann Arbor, MI 48109

United States

SCHOLARLY PAPERS

6

DOWNLOADS

182

SSRN CITATIONS

0

CROSSREF CITATIONS

0

Scholarly Papers (6)

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
University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering and University of Michigan at Ann Arbor
Downloads 177 (208,019)

Abstract:

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

2.

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

Number of pages: 53 Posted: 18 Nov 2020 Last Revised: 07 Jul 2021
Esmaeil Keyvanshokooh, Pooyan Kazemian, Mohammad Fattahi and Mark P. Van Oyen
University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, 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 5 (741,141)

Abstract:

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

3.

Data-driven Adaptive Robust Optimization for Resource Sharing During a Pandemic

Posted: 02 Oct 2020 Last Revised: 08 Mar 2021
University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering, Department of Technology and Innovation, University of Southern Denmark, Odense, Denmark, Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA, University of Michigan at Ann Arbor, Harvard Medical School and Department of Operations, Weatherhead School of Management, Case Western Reserve University, Cleveland, OH, USA

Abstract:

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COVID-19, Pandemic, Resource Sharing, Elective Surgeries, Data-driven Adaptive Robust Optimization, Microsimulation.

4.

Personalized Hospital Admission Control: A Contextual Learning Approach

Posted: 18 Aug 2020
Mohammad Zhalechian, Esmaeil Keyvanshokooh, Cong Shi and Mark P. Van Oyen
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 - 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, personalized admission control

5.

Online Resource Allocation with Personalized Learning

Posted: 10 Mar 2020 Last Revised: 08 May 2021
Mohammad Zhalechian, Esmaeil Keyvanshokooh, Cong Shi and Mark P. Van Oyen
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 - Department of Industrial and Operations Engineering and University of Michigan at Ann Arbor

Abstract:

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

6.

Contextual Learning with Online Convex Optimization: Theory and Application to Chronic Diseases

Posted: 31 Dec 2019 Last Revised: 10 May 2021
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 - Department of Industrial and Operations Engineering, University of Michigan at Ann Arbor and Massachusetts General Hospital

Abstract:

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online learning algorithms, regret analysis, contextual bandit, stochastic sub-gradient descent, personalized medicine, disease progression, type 2 diabetes.