Lei Li
 |
Assistant Professor |
About me
I am an Assistant Professor in the Department of Logistics and Maritime Studies at The Hong Kong Polytechnic University since August 2023. I obtained my Ph.D. degree from Purdue University in 2023, advised by Prof. Qi Annabelle Feng and Prof. J. George Shanthikumar. I obtained the B.S. and M.S. degrees in Management from Zhejiang University, in 2015 and 2017, respectively, avdivsed by Prof. Qingwei Jin.
I am looking for self-motivated Ph.D. students with strong interests in supply chain and operations management. Students with a bachelor/master degree in operations management, operations research, industrial engineering, (applied) mathematics, probability, statistics, physics, computer science, or other related fields are welcomed to email me with your CV and transcript. Competitive financial support will be provided (see https://www.polyu.edu.hk/gs/prospective-students/fellowship-scholarship-schemes/).
Research Interests
Methodologies: Data-integrated decision making; Stochastic modeling; Causal inference.
Applications: Supply chain management; Not-for-profit operations.
Publications
The Effect of Supply Uncertainty on Dynamic Procurement and Pricing Strategies under Lost Sales (with Qi Feng and J. George Shanthikumar).
2024, Production and Operations Management.
Managing Volunteers and Paid Workers in a Nonprofit Operation (with Gemma Berenguer and William B. Haskell).
2024, Management Science.
Working Papers
Transfer Learning, Cross Learning and Co-Learning Across Newsvendor Systems with Operational Data Analytics (ODA) (with Qi Feng and J. George Shanthikumar).
Performance Analysis of the Certainty Equivalent Heuristic for Online Resource Allocation (with Gemma Berenguer and William B. Haskell).
Teaching
Instructor, The Hong Kong Polytechnic University
LGT5152 Information System for Supply Chain Management, Spring 2024
LGT5428 International Trade and Logistics Management, Fall 2023
Instructor, Purdue University
MGMT361 Operations Management, Fall 2022
Conferences and Talks
Transfer Learning, Cross Learning and Co-Learning Across Newsvendor Systems with Operational Data Analytics (ODA)
Department of Management Science and Engineering, East China University of Science and Technology, Shanghai, July 2024
Department of Management Science and Engineering, Jiangnan University, Wuxi, July 2024
Department of Industrial Engineering and Operations Management, Nanjing University, Nanjing, July 2024
POMS-HK International Conference 2024, Hong Kong, Jan. 2024
Department of Management Science, City University of Hong Kong, Hong Kong, Nov. 2023
INFORMS Annual Meeting 2023, Phoenix, AZ, Oct. 2023
Department of ISOM, School of Management and Economics, The Chinese University of Hong Kong, Shenzhen, online, Nov. 2022
Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, online, Nov. 2022
Department of Management Science, Antai College of Economics and Management, Shanghai Jiao Tong University, online, Nov. 2022
INFORMS Annual Meeting 2022, Indianapolis, IN, Oct. 2022
Annual POMS Conference 2022, online, April 2022
The Effect of Supply Uncertainty on Dynamic Procurement and Pricing Strategies under Lost Sales
Annual POMS Conference 2023, Orlando, FL, May 2023
Department of Data Science and Management Engineering, School of Management, Zhejiang University, online, June 2022
Annual POMS Conference 2022, online, April 2022
Volunteers and Paid Workers in a Nonprofit Operation: Trade-Offs and Social Outcomes
INFORMS Annual Meeting 2021, Los Angeles, CA, Oct. 2021
KDSA Research Symposium 2021, Purdue University, West Lafayette, IN, Oct. 2021
INFORMS Annual Meeting, Seattle, WA, Oct. 2019
Study on Electric Taxi Fleet with Battery Swapping
INFORMS Annual Meeting, Nashville, TN, Nov. 2016
Honors and Awards
RGC General Research Fund (HKD504,900) “Data-Integrated Decision Making under Small Samples with Learning Across Related Systems”, Principle Investigator, 2025-2027
PolyU Start-up Fund for New Recruits (HKD500,000) “Resource Management in Not-for-profit Operations”, Principle Investigator, 2023-2026
Distinguished Graduate Student Instructor, Purdue University, Fall 2022
Krannert Doctoral Student Research Funds (USD1,832), Purdue University, 2022
Best Presentation, KDSA Research Symposium, Purdue University, Fall 2021
Krannert Doctoral Student Research Funds (USD3,900), Purdue University, 2020
Operations Management Scholar Award, Purdue University, 2017 - 2021
Industry Experience
JD.com, Research Intern in inventory optimization group, Beijing, China, Sept. 2016 - Feb. 2017