Cong Shi

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Associate Professor

University of Miami

United States

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About

Cong Shi is an Associate Professor at the University of Miami, USA. His research interests focus on advanced decision-making methodologies including inventory systems, medical decision-making, pricing strategies, and trust dynamics in human-robot interactions. Recent publications highlight his work on topics such as online learning, causal inference, and network revenue management.

Recent Grants

Grant: Close

EAGER: Sustainability in Supply Chain: An Innovative and Systemic Approach

Open Date: 2014-09-01

Close Date: 2016-08-31

Grant: Close

Managing Perishable Inventory Systems: New Algorithms and Approximations

Open Date: 2014-06-01

Close Date: 2017-05-31

Articles (16)

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2025

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2025

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2023

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2022

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2021

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2021

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2021

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2020

Collaborators (7)

Qi Luo

University of Michigan

UNITED STATES

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Siqian Shen

University of Michigan

UNITED STATES

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X. Jessie Yang

University of Michigan

UNITED STATES

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Xiuli Chao

University of Michigan

UNITED STATES

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Mark Van Oyen

Professor

University of Michigan

UNITED STATES

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Huanan Zhang

Assistant Professor

University of Colorado Boulder

UNITED STATES

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Mohammad Zhalechian

Indiana State University

UNITED STATES

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Cong Shi

Research Interests

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Contact this professor

About

Recent Grants

Articles (16)

Tailored Base-Surge Policies in Dual-Sourcing Inventory Systems with Demand Learning

Contextual Learning with Online Convex Optimization: Theory and Application to Medical Decision-Making

Offline Feature-Based Pricing Under Censored Demand: A Causal Inference Approach

Online Learning for Constrained Assortment Optimization Under Markov Chain Choice Model

TIP: A trust inference and propagation model in multi-human multi-robot teams

Online Learning for Dual-Index Policies in Dual-Sourcing Systems

Data-Driven Hospital Admission Control: A Learning Approach

Network revenue management with online inverse batch gradient descent method

Online Learning and Pricing for Service Systems with Reusable Resources

Clustering Trust Dynamics in a Human-Robot Sequential Decision-Making Task

Online Resource Allocation with Personalized Learning

Partner with a Third-Party Delivery Service or Not? A Prediction-and-Decision Tool for Restaurants Facing Takeout Demand Surges During a Pandemic

Marrying Stochastic Gradient Descent with Bandits: Learning Algorithms for Inventory Systems with Fixed Costs

Multi-armed bandit with sub-exponential rewards

Nonparametric Learning Algorithms for Joint Pricing and Inventory Control with Lost Sales and Censored Demand

Closing the Gap: A Learning Algorithm for Lost-Sales Inventory Systems with Lead Times

Collaborators (7)

Qi Luo

Siqian Shen

X. Jessie Yang

Xiuli Chao

Mark Van Oyen

Huanan Zhang

Mohammad Zhalechian

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