Dr. Shuming Wang is a Professor of Management Science at the School of Economics and Management, University of Chinese Academy of Sciences (UCAS). He received PhD from Waseda University, Japan, in 2011, and joined UCAS in 2016. He also worked at China Galaxy Securities Co., Ltd. (2011-2012) and National University of Singapore (2012-2015). 

His research interests include predictive analytics, robust optimization, and statistical learning, with applications in location science, transportation, supply chain management, financial risk management, and healthcare operations. He has published more than 40 papers including those in Management Science, Operations Research, Manufacturing & Service Operations Management, Production and Operations Management, INFORMS Journal on Computing, and Transportation Science.  He serves as an Area Editor at Computers & Operations Research and an Associate Editor at Decision Sciences.

Research Areas

  • OR /Optimization /Applied Statistics

  • Predictive Analytics /Statistical Learning / Robust Optimization /Model Uncertainty

  • APPLICATIONS in Business Aanalytics /Supply-Chain Resilience /Financial Risk Management /Healthcare

Teaching

  • Operations Research (Graduate CORE module)

  • Stochastic Modeling (Graduate CORE module)

  • Decision and Optimization under Uncertainty (Graduate Elective module)

Publications

  1. Y. Mao, F. Saldanha-da-Gama, S. Wang*, S.Y. Wang, Predictive production-and-service planning: Ambiguity aversion with performance guarantees, Management Science, to appear, 2026.
  2. F. Liu, Z. Chen, R. Wang, S. Wang*, Newsvendors under ambiguity and misspecification, Manufacturing & Service Operations Management, to appear, 2026.
  3. M. Li, S. Wang*, L. Xu, Replenishment recommendation in convenience stores, Production & Operations Management, vol. 35, no.3, 1095-1112, 2026.
  4. Z. Pang, S. Wang, J. Zhao*, Wasserstein risk-sensitive appointment scheduling under delay constraints, INFORMS Journal on Computing, to appear, 2026.
  5. J. Hu, Z. Chen, S. Wang*, Budget-driven multi-period hub location: A robust time-series approach, Operations Research, vol. 73, no. 2, 613-631, 2025.
  6. J. Zhao, S. Wang*, Data-driven shelf stocking: Robustness and vertical-location effect, Production & Operations Management, vol. 34, no. 2, 242-261, 2025.
  7. S. Wang*, J. Li, M. Ang, T.-S. Ng, Appointment scheduling with delay-tolerance heterogeneity, INFORMS Journal on Computing, vol. 36, no. 5, 1201-1224, 2024.
  8. F. Liu, Z. Chen, S. Wang*, Globalized distributionally robust counterpart, INFORMS Journal on Computing, vol. 35, no. 5, 1120-1142, 2023. 
  9. J. Li, Y.Z. Huang, Y.F. Li, S. Wang*, Redundancy allocation under state-dependent distributional uncertainty of component lifetimes, Production and Operations Management, vol. 32, no. 3, 930-950, 2023.  
  10. T.Q. Liu, F. Saldanha-da-Gama, S. Wang*, Y.C. Mao, Robust stochastic facility location, INFORMS Journal on Computing, vol.34, no.5, 2383-2865(C2), 2022.
  11. J. Xiong, S. Wang*, T.-S. Ng, Robust bilevel resource recovery planning, Production and Operations Management, vol.30, no.9, 2962-2992, 2021.
  12. S. Wang, Y.-F. Li, T. Jia, Distributionally robust design for redundancy allocation, INFORMS Journal on Computing, vol.32, no.3, 620-640, 2020.
  13. S. Wang, Z. Chen, T.-Q. Liu, Distributionally robust hub location, Transportation Science, vol.54, no.5, 1189-1210, 2020.
  14. S. Wang, T.-S. Ng, Robustness of resource recovery systems under feedstock uncertainty, Production and Operations Management, vol.28, no.3, pp.497-758, 2019.

Research Grants

  1. Decision-Making and Optimization under Uncertainty (NSFC-Young Scholars-A, No.72625011) :: PI :: 2,800,000 RMB (Jan 2027- Dec. 2031)
  2. Time-Series Predictive Multi-Stage Distributionally Robust Optimization (NSFC-General, No.72471224) :: PI :: 430,000 RMB (Jan 2025- Dec. 2028)
  3. Data-driven Distributionally Robust Inventory Optimization (NSFC-General, No.72171221) :: PI :: 500,000 RMB (Jan 2022- Dec. 2025)
  4. Modeling and Optimization for Decision Making under Complex Uncertainty (NSFC-Young Scholars-B, No.71922020) :: PI :: 1,200,000 RMB (Jan 2020- Dec. 2022)
  5. Data-Driven Distributional Robust Optimization Approach for WtE Systems Planning (NSFC-Young Scholars-C, No.71601177) :: PI :: 210,000 RMB (Jan 2017- Dec. 2019)

Job Openings

  • We now have job openings of 2 postdoc-fellow positions for the projects on OR and Statistical Learning. 

  • The candidates are expected to have a strong background in mathematics, OR, statistics, CS or related areas.

  • A competitive salary will be provided for the qualified applicants.  

  • You may drop an email with CV to me (wangshuming@ucas.edu.cn) for the application.