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I am an Associate Professor of Decision Sciences at the School of Business, The George Washington University. Prior to joining GWU, I was an Associate Professor in the Department of Analytics & Operations at NUS Business School, National University of Singapore. I received my Ph.D. in Operations Research from University of California, Berkeley and B.Eng. in Logistics Management and Engineering from The Hong Kong University of Science and Technology. My current research involves using optimization and machine learning tools to address problems in Smart City Operations (e.g., shared mobility, electric vehicles, and last-mile delivery), Sustainable Energy Ecosystem, and Supply Chain Management. This line of research has been recognized with the M&SOM Journal Best Paper Award, Transportation Science & Logistics (TSL) Best Paper Award, and ENRE Best Publication Award in Energy from INFORMS.

Journal Articles

• “Does Locker Alliance Network Improve Last Mile Delivery Efficiency?” (with Quanmeng Wang, Guodong Lyu and Chung-Piaw Teo). Forthcoming in Management Science. 2025.

• “From Curtailed Renewable Energy to Green Hydrogen: Infrastructure Planning for Hydrogen Fuel-Cell Vehicles.” (with Nan Ke, Ruijiu Mao, Wei Qi and Hongcai Zhang). Manufacturing & Service Operations Management. 26(5), 1750-1767. 2024.

• “Crowd-starting a Shared (Shuttle) Service with Customer Suggestions.” (with Tu Ni). Production and Operations Management. 33(8), 1739-1758. 2024.

• “An Exponential Cone Programming Approach for Managing Electric Vehicle Charging.” (with Li Chen and Yangfang Zhou). Operations Research. 72(5), 2215-2240. 2023.

  • 2023 Runner-up, Harvey J. Greenberg Research Award, INFORMS Computing Society

• “Taming the Long Tail of Inventory: The Gambler’s Fallacy in Intermittent Demand Management.” (with Sheng Bi and Chung-Piaw Teo). Manufacturing & Service Operations Management. 25(5), 1692-1710. 2023.

• “Humanitarian transportation network design via two-stage distributionally robust optimization.” (with Guowei Zhang, Ning Jia, Ning Zhu and Yossiri Adulyasak). Transportation Research Part B: Methodological. 176, 102805. 2023.

• “Smart Urban Transport and Logistics: A Business Analytics Perspective.” (with Sheng Liu and Z. Max Shen). Production and Operations Management. 31(10), 3771-3787. 2022.

• “On-Time Last-Mile Delivery: Order Assignment with Travel-Time Predictors.” (with Sheng Liu and Z. Max Shen). Management Science. 67(7), 4095-4119. 2021.

• “Charging an Electric Vehicle-Sharing Fleet.” (with Guangrui Ma, Wei Qi, and Xin Wang). Manufacturing & Service Operations Management. 23(2), 471-487. 2021.

  • 2022 ENRE Best Publication Award in Energy, INFORMS

• “Spatial pricing and product allocation in online retailing.” (with Mengying Xue). Naval Research Logistics (NRL). 67(8), 670-684. 2020.

• “Robust Vehicle Pre‐Allocation with Uncertain Covariates.” (with Zhaowei Hao, Zhenyu Hu and Jun Jiang). Production and Operations Management. 29(4), 955-972. 2020.

• “Product Sourcing and Distribution Strategies under Supply Disruption and Recall Risks.” (with Ying Rong and Z. Max Shen). Production and Operations Management. 29(1), 9-23. 2020.

• “Robust Repositioning for Vehicle Sharing.” (with Zhenyu Hu and Meilin Zhang). Manufacturing & Service Operations Management. 22(2), 241-256. 2020.

• “Service Region Design for Urban Electric Vehicle Sharing Systems.” (with Ho-Yin Mak, Ying Rong, and Z. Max Shen). Manufacturing & Service Operations Management. 19(2), 309–327. 2017. [M&SOM Review Blog]

  • 2019 M&SOM Journal Best Paper Award, INFORMS
  • 2019 Transportation Science & Logistics (TSL) Best Paper Award, INFORMS

• “Stochastic Control for Smart Grid Users with Flexible Demand.” (with Yong Liang, Xinyu Cao, and Z. Max Shen). IEEE Transactions on Smart Grid. 4.4 (2013) 2296-2308.

Working Papers

• “Robust Capacity Planning with General Upgrading.” (with Zhaowei Hao, Zhenyu Hu and Jun Jiang). Under Revision in Manufacturing & Service Operations Management.

• “Proactive Policing: A Resource Allocation Model for Crime Prevention with Deterrence Effect.” (with Xiaobo Li and Yue Zhao). Under Revision in Operations Research.

• “Prescriptive PCA: Dimensionality Reduction for Two-stage Stochastic Optimization.” (with Ho-Yin Mak).

  • Preliminary version In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’23).

Book Chapter

• “Operations Management of Vehicle Sharing Systems.” (with Ho-Yin Mak and Ying Rong). 2018. Sharing Economy: Making Supply Meet Demand, M. Hu (Ed.), in Springer Series in Supply Chain Management, C. Tang (Series Ed.)

GWU

1. Supply Chain Analytics (BBA/MSBA)
2. Machine Learning I/II (MSBA)
3. Optimization I/II (MSBA)

NUS

1. Introduction to Optimization (BBA)
2. Predictive Analytics in Business (BBA)
3. Forecasting for Managerial Decisions (BBA)
4. Foundation in Business Analytics (MSBA)
5. Logistics and Supply Chain (PhD)

PhD Students

• Sheng Bi (2021, Associate Professor, Shanghai University of Finance and Economics)
• Irfan Soudagar (2021, Development Scientist, A*STAR, Singapore)
• Tu Ni (2023, Postdoc Fellow, Harvard Business School)
• Quanmeng Wang (2023, Postdoc Fellow, Institute of Operations Research & Analytics, NUS)
• Ruijiu Mao (expected 2025, incoming Assistant Professor, Alberta School of Business, University of Alberta)

Postdoc Fellows

• Zhaowei Hao (2018-2020, Associate Professor, Dongbei University of Finance and Economics)
• Bomin Bian (2020-2023, Associate Professor, Dalian University of Technology)
• Yue Zhao (2022-2024, incoming Assistant Professor, Peking University HSBC Business School)