姓名：李宜福
职位：副研究员
邮箱：yifuli@ustc.edu.cn
专业方向：运营管理
PROFILE
Dr. Yifu Li is a Tenure-Track Associate Professor at the School of Management, University of Science and Technology of China. He obtained his Ph.D. in Industrial Engineering and Logistics Management from the Hong Kong University of Science and Technology in 2018. His research interests are behavioral operations research and decisions.
EDUCATION
Ph.D. in Industrial Engineering and Logistics Management, The Hong Kong University of Science and Technology, 2018
Visiting Ph.D. Student in Operations Management, Johns Hopkins University, Feb - May 2018
B.Eng. in Computer Science and Technology, Dalian University of Technology, 2013
B.B.A. in Logistics Management, Dalian University of Technology, 2012
ACADEMIC EXPERIENCE
Tenure-track Associate Professor, School of Management, University of Science and Technology of China, 2022-Now
Assistant Professor, International Business School Suzhou, Xi'an Jiaotong-Liverpool University, 2020-2022
Research Fellow, National University of Singapore, 2019-2020
RESEARCH INTERESTS
Focus: behavioral operations research and decisions
Methodologies: combinatorial optimization and game theory
Applications: service operations management (e.g., video games and experiential service design), R & D management (e.g., innovation/crowdsourcing contest design), and supply chain management (e.g., package delivery)
PUBLICATIONS
1. Yifu Li, Tinglong Dai, Xiangtong Qi. (2022). A theory of interior peaks: Activity sequencing and selection for service design. Manufacturing & Service Operations Management 24(2):993-1001. (UTD-24)
2. Yifu Li*, Christopher Thomas Ryan, Lifei Sheng. (2023). Optimal sequencing in single-player games. Online available with Management Science. https://doi.org/10.1287/mnsc.2022.4665 (UTD-24)
3. Yifu Li*, Xiangtong Qi. (2022). A geometric branch and bound algorithm for the service-bundle design problem. European Journal of Operational Research. 303(3):1044-1056. (ABS-4/ABDC-A*)
4. Yifu Li, Chenhao Zhou*, Peixue Yuan, Thi Tu Anh Ngo. (2023). Experience-based territory planning and driver assignment with predicted demand and driver present condition. Online available with Transportation Research Part E 171, 103036: 1-20. (ABS-3/ABDC-A*)
GRANTS
1. Principal investigator, Modeling and scheduling problem of the coproductive service considering customer participation and experience, National Natural Science Foundation of China (Youth Program), 300K RMB, 2023-2025.