Hanzhang Qin

Hanzhang Qin

Assistant Professor

About Me

Greetings! I am currently an Assistant Professor in the Department of Industrial Systems Engineering and Management (ISEM), the Institute for Operations Research and Analytics (IORA) and the Artificial Intelligence Institute (NAII) at National University of Singapore (NUS).

Prior to joining NUS, I spent one year at Amazon SCOT as a postdoctoral scientist – here is the Amazon coverage of what I did. I obtained my PhD in Computational Science and Engineering and two master’s in EECS and Transportation from Massachusetts Institute of Technology (MIT), and two bachelor’s in Industrial Engineering and Mathematics from Tsinghua University.

Preprints and Working Papers

  • Qin, H., Simchi-Levi, D. and Zhu, R.. Sailing through the Dark: Provably Sample-Efficient Inventory Control. (SSRN)
    • Under revision at Management Science.
  • Zhang, X., Qin, H. and Chou, M.C.. Online Resource Allocation with Non-Stationary Customers. (Arxiv)
    • Prelimnary version accepted at The 41st International Conference on Machine Learning (ICML 2024).
  • Liu, J., Qin, H. and Chou, M.C.. Pricing Analytics with Shape-Restricted Demands. (SSRN)
  • Fan, X., Chen, B., Lennon Olsen, T., Pinedo, M., Qin, H. and Zhou, Z.. Don’t Follow RL Blindly: Lower Sample Complexity of Learning Optimal Inventory Control Policies with Fixed Ordering Costs. (SSRN)
  • Hu, H., Qin, H. and Simchi-Levi, D.. Solving Large-Scale Vehicle Routing Problems with Unsplit Demands via Limited Information. (SSRN)

Selected Journal Publications

  • Qin, H., Simchi‐Levi, D., Ferer, R., Mays, J., Merriam, K., Forrester, M. and Hamrick, A., 2022. Trading safety stock for service response time in inventory positioning. Production and Operations Management, 31(12), pp.4462-4474. (Journal) (SSRN)
  • Ledvina, K., Qin, H., Simchi-Levi, D. and Wei, Y., 2022. A new approach for vehicle routing with stochastic demand: Combining route assignment with process flexibility. Operations Research, 70(5), pp.2655-2673. (Journal) (SSRN)
  • Qin, H., Simchi-Levi, D. and Wang, L., 2022. Data-driven approximation schemes for joint pricing and inventory control models. Management Science, 68(9), pp.6591-6609. (Journal) (SSRN)

PhD Thesis

  • Qin, H., 2022. Stochastic Control Through a Modern Lens: Applications in Supply Chain Analytics and Logistical Systems (Doctoral dissertation in Computational Science and Engineering, Massachusetts Institute of Technology).