YE LIU
Assistant Professor of Supply Chain Management
Whitman School of Management
Syracuse University
My research focuses on:
artificial intelligence, risk management, commodity markets, supply chain finance
analytical and data-driven methodologies, including approximate dynamic programming, machine learning, and deep reinforcement learning
Education: Ph.D. in Supply Chain, Operations and Technology (Washington University in St. Louis - Olin Business School)
RECENT PUBLICATIONS
Managing Operations of a Hog Farm Facing Volatile Markets: Inventory and Selling Strategies
with Panos Kouvelis, Yunzhe Qiu and Danko Turcic
Manufacturing & Service Operations Management (2023)
presented at
POMS Annual Conference, Virtual, 2022
INFORMS Annual Meeting, Virtual, 2021
MSOM SIG in iFORM, Virtual, 2021
INFORMS Annual Meeting, Anaheim, CA, 2021
An Empirically Grounding Analytics (EGA) Approach to Hog Farm Finishing Stage Management:
Deep Reinforcement Learning as Decision Support and Managerial Learning Tool
with Panos Kouvelis and Danko Turcic
Journal of Operations Management (2024)
presented at
MSOM Conference, Minneapolis, MN, 2024
POMS Annual Conference, Minneapolis, MN, 2024 (Session Chair)
INFORMS Annual Meeting, Phoenix, AZ, 2023
Purdue Operations Symposium, West Lafayette, IN, 2023
POMS Annual Conference, Orlando, FL, 2023 (Session Chair)
WORK IN progress
Hedging using Deep Reinforcement Learning
with Panos Kouvelis, Yunzhe Qiu and Danko Turcic
presented at
INFORMS Annual Meeting, Seattle, WA, 2024