Education Background
2015.01 – 2019.04 National University of Singapore, Industrial Systems Engineering & Management, Ph.D.
2012.09 – 2015.03 Shanghai Jiao Tong University, Industrial Engineering, M.Eng.
2008.09 – 2012.06 Hunan University, Industrial Engineering, B.Eng.
Work Experience
2019.12 – Current Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Assistant Professor
2019.02 – 2019.11 Grabtaxi, Senior Data Scientist
2018.11 – 2019.02 National University of Singapore, Research Engineer
2017.07 – 2017.12 École Polytechnique Fédérale de Lausanne, Visiting Scholar
Research Interests
Optimization under uncertainty
Stochastic programming
Dynamic programming
Real options theory
Publications
Journal papers:
Zhao, S. (2023) Decision rule-based method in solving adjustable robust capacity expansion problem.
Mathematical Methods of Operations Research, forthcoming.
Zhang, D., Ji, L.,
Zhao, S.*, Wang, L. (2023).
Variable-sample method for the computation of stochastic Nash equilibrium.
IISE Transactions, online.
Zhao, S.*, Haskell, W. B., & Cardin, M. A. (2023).
A flexible system design approach for multi-facility capacity expansion problems with risk aversion.
IISE Transactions, 55(2):187-200.
Wei, B., Haskell, W. B., &
Zhao, S. (2020).
The CoMirror algorithm with random constraint sampling for convex semi-infinite programming.
Annals of Operations Research, 295, 809–841.
Wei, B., Haskell, W. B., &
Zhao, S. (2020).
An inexact primal-dual algorithm for semi-infinite programming.
Mathematical Methods of Operations Research, 91, 501-544.
Zhao, S., Haskell, W. B., & Cardin, M. A. (2018).
Decision rule-based method for flexible multi-facility capacity expansion problem.
IISE Transactions, 50(7), 553-569.
Zhao, S., Liu, X., & Zhuo, Y. (2017). Hybrid hidden Markov models for resilience metrics in a dynamic infrastructure system.
Reliability Engineering & System Safety, 164, 84-97.
Conference papers:
Zhao, S., Haskell, W. B., & Cardin, M. A. (2017). An approximate dynamic programming approach for multi-facility capacity expansion problem with flexibility design. In
Proceedings of the 2017 Industrial and Systems Engineering Research Conference (pp. 440-445).
Working papers:
Zhao, S., Haskell, W. B., & Cardin, M. A. (2018) An approximate dynamic programming algorithm for multi-stage capacity investment problems.
Teaching
MG26019 Production and Operations Management (Graduate)
MEM6803 Logistic Operations Management (Graduate)
MEM6805 E-Commerce Logistic and Distribution (Graduate)
MEM6003 Engineering Economics (Graduate)
Awards and Honors
1. Shanghai Sailing Program (2020)
2.
CSAMSE Practice Award, First Price (2021)