# 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.

# keywords[]
Covid-19 Pandemic, Resource Sharing And Allocation, Patients’ Transfers, Multi-stage Stochastic Programming

# keywords[]
Centralised And Decentralised Supply Chains

# educationAndTraining[].organization.label
University of Michigan-Ann Arbor - (Ann Arbor, Michigan, United States)

# educationAndTraining[].organization.label
University of Michigan-Ann Arbor - (Ann Arbor, Michigan, United States)

# publications[].label
A dynamic pricing approach for returned products in integrated forward/reverse logistics network design

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Resource planning strategies for healthcare systems during a pandemic.

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Data-driven Hospital Admission Control: A Contextual Learning Approach

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Mitigating the COVID-19 pandemic through data-driven resource sharing

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A Responsible Framework for Assessing, Selecting, and Explaining Machine Learning Models in Cardiovascular Disease Outcomes Among People With Type 2 Diabetes: Methodology and Validation Study.

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Safe Reinforcement Learning with Contextual Information: Theory and Application to Personalized Comorbidity Management

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Supply chain network design under uncertainty: A comprehensive review and future research directions

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Responsive and resilient supply chain network design under operational and disruption risks with delivery lead-time sensitive customers

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Online Advance Scheduling with Overtime: A Primal-Dual Approach

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Hybrid robust and stochastic optimization for closed-loop supply chain network design using accelerated Benders decomposition

# publications[].tags
9 Industry, Innovation and Infrastructure

# publications[].label
Coordinated and Priority-Based Surgical Care: An Integrated Distributionally Robust Stochastic Optimization Approach

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Investigating replenishment policies for centralised and decentralised supply chains using stochastic programming approach

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

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An optimization-based approach for the healthcare districting under uncertainty

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Online Resource Allocation with Personalized Learning

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Last-Mile Humanitarian Logistics Planning With Isolated Communities

# publications[].label
Online Resource Allocation with Personalized Learning

# publications[].publisher
Institute for Operations Research and the Management Sciences (INFORMS)

# publications[].label
Contextual Learning with Online Convex Optimization with Applications to Medical Decision-Making

# publications[].label
Online Advance Scheduling with Overtime: A Primal-Dual Approach

# publications[].publisher
Institute for Operations Research and the Management Sciences (INFORMS)

# publications[].label
A multi-stage stochastic program for supply chain network redesign problem with price-dependent uncertain demands