Biography

Dr. Shaochong Lin is currently an Assistant Professor in the Department of Data and Systems Engineering at the University of Hong Kong. Dr. Lin received his PhD degree in Decision Analytics and Operations from the College of Business, City University of Hong Kong. He received his Bachelor and Master degrees from South China University of Technology, and Tongji University, respectively. He was a visiting researcher in the Department of Industrial Engineering and Operations Research at UC Berkeley (2019-2020) and a Research Assistant Professor  at the University of Hong Kong (2023-2025). Dr. Lin's research involves data-driven Operations Management, interfaces between Machine Learning and Operations Research, and their applications in real-world problems in Supply Chain Management, Smart Scheduling and Transportation. He is an ad-hoc reviewer for journals such as Management Science, Operations Research, Manufacturing & Service Operations Management, and  Production and Operations Management.

Research Interests

• Data-driven Decision-making
• Logistics and Supply Chain Management
• Smart Retailing
• Smart Scheduling and Transportation

Selected Publications

• Y. Cheng, S. Lin, and Z.-J. M. Shen, “From social to purchase: customer selection in social group buying,” Production and Operations Management, vol. 34(6), pp. 1512-1530, Sep 2024
• S. Lin, Y. F. Chen, Y. Li, and Z.-J. M. Shen, “Data-driven newsvendor problems regularized by a profit risk constraint,” Production and Operations Management, vol. 31, pp. 1630-1644, Apr 2022.
• Y. Lu, S. Lin, Z.-J. M. Shen, and J. Zhang, “Location planning, resource reallocation and patient assignment during a pandemic considering the needs of ordinary patients, ” Health Care Management Science, vol 28, pp. 234-258. May 2025.
• Y. Liu, W. Liu, S. Lin, C. Yang, K. Huang, and Z.-J. M. Shen, “Data-driven raw material robust procurement for non-ferrous metal smelter under price and demand uncertainties,” IEEE Transactions on Automation Science and Engineering, vol. 21(4), Oct 2024.
• S. Lin, M. Bakker, and E. Leung, “Robust meal delivery service for the elderly: a case study in Hong Kong,” Nature Research Journal - Scientific Reports, vol. 12(1), pp. 1-12, Dec 2022.
• X. Mao, X. Liao, S. Lin, and C. Li, “Machine Learning-Based Prediction of Passenger Waiting Time During Check-in Process,” Journal of Systems Science and Systems Engineering. Feb 2025.
• C. Liu, S. Lin, Z.-J. M. Shen, and J. Zhang, "Stochastic service network design: the value of fixed routes," Transportation Research Part E, vol. 174, 103118, Jun 2023.
• C. Liu, J. Zhang, S. Lin, and Z.-J. M. Shen, “Service network design with consistent multiple trips," Transportation Research Part E, vol. 171, 103028, Mar 2023.
• S. Lin, Q. Zhang, Y. F. Chen, L. Luo, L. Chen, and W. Zhang, “Smooth Bayesian network model for the prediction of future high-cost patients with COPD,” International Journal of Medical Informatics, vol. 126, pp. 147-155, Apr 2019.
• X. Li, S. Lin, P. Tian, and Y. P. Aneja, “Models and column generation approach for the resource-constrained minimum cost path problem with relays,” Omega, vol. 66, pp. 79-90, 2017.
• X. Li, S. Lin, S. Chen, Y. P. Aneja, P. Tian, and Y. Cui, “An iterated metaheuristic for the directed network design problem with relays,” Computers & Industrial Engineering, vol. 113, pp. 35-45, 2017.
• For more working papers, please refer to the personal website and SSRN.