Education Background
Work Experience
• 2023 – present Associate Professor, Sino-US Global Logistics Institute, Shanghai Jiao Tong University
• 2019 – 2022 Assistant Professor, Sino-US Global Logistics Institute, Shanghai Jiao Tong University
• 2018 – 2019 Visiting Fellow, Department of Management Sciences, City University of Hong Kong
• 2018 – 2018 Research Assistant, Department of Management Sciences, City University of Hong Kong
Research Interests
• Simulation Optimization
• Ranking & Selection
• Kriging Metamodeling
• Digital Twin
Research Project
• National Natural Science Foundation of China (NSFC), General Program, 72371156, Surrogate-Based Simulation Optimization Algorithms for Problems with Discrete and Continuous Decision Variables, 2024-01 to 2027-12, PI.
• National Natural Science Foundation of China (NSFC), Young Scientists Fund, 72001140, Ranking and Selection with Covariates: Theory, Algorithm, and Application, 2021-01 to 2023-12, PI.
• Shanghai Education Development Foundation and Shanghai Municipal Education Commission, "Chenguang Program" (Category A), 19CG14, Simulation Optimization Based Personalized Decision Making and Its Application in Precision Medicine, 2020-01 to 2022-12, PI.
• National Natural Science Foundation of China (NSFC), Key Program, 72031006, Resource Organization and Optimization in Sharing Service, 2021-01 to 2025-12, Participation.
• National Natural Science Foundation of China (NSFC), Key Program, 72031007, Health-Care Service Oriented Man-Machine Collaboration Mechanism and Man-Machine System Managerial Decision Optimization, 2021-01 to 2025-12, Participation.
• National Natural Science Foundation of China (NSFC), Key Program, 71931007, Production and Operation Management of Smart Factory, 2020-01 to 2024-12, Participation.
Publications
Published Papers
• Xiuxian Wang, L. Jeff Hong, Zhibin Jiang, and
Haihui Shen (2023).
Gaussian process-based random search for continuous optimization via simulation.
Operations Research, online.
ResearchGate
• Liang Ding, L. Jeff Hong,
Haihui Shen*, and Xiaowei Zhang (2022).
Technical note—Knowledge gradient for selection with covariates: Consistency and computation.
Naval Research Logistics,
69(3):496-507.
PDF Appendix arXiv Codes
•
Haihui Shen, L. Jeff Hong, and Xiaowei Zhang (2021).
Ranking and selection with covariates for personalized decision making.
INFORMS Journal on Computing,
33(4):1500-1519.
PDF E-Companion arXiv Codes
♢
Best Student Paper (Second-Place Prize) in The Ninth POMS-HK International Conference, 2018
•
Haihui Shen, L. Jeff Hong, and Xiaowei Zhang (2018).
Enhancing stochastic kriging for queueing simulation with stylized models.
IISE Transactions,
50(11):943-958.
PDF Codes
• Yingcui Yan,
Haihui Shen*, and Zhibin Jiang (2021).
Stochastic approximation with Gaussian process regression. In
Proceedings of the 2021 Winter Simulation Conference, 1-12.
PDF
•
Haihui Shen, L. Jeff Hong, and Xiaowei Zhang (2017).
Ranking and selection with covariates. In
Proceedings of the 2017 Winter Simulation Conference, 2137-2148.
PDF
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Working Papers
• Guangxin Jiang, L. Jeff Hong, and
Haihui Shen. Real-time derivative pricing and hedging with consistent metamodels.
Working Paper.
Teaching
Part-time Academic Job
• Journal Paper Reviewer
♢INFORMS Journal on Computing
♢IISE Transactions
♢International Journal of Production Research
♢INFORMS Journal on Data Science
♢Journal of the Operations Research Society of China
• Conference Paper Reviewer
♢Winter Simulation Conference (WSC)
♢International Conference on Automation Science and Engineering (CASE)
Awards and Honors
• Best Student Paper (Second-Place Prize) in The Ninth POMS-HK International Conference, 2018
• Outstanding Teaching Awards for Teaching Assistants, CityU, 2017-18
• Research Tuition Scholarship (on a competitive basis), CityU, 2015, 2016
• National Scholarship, Ministry of Education, PRC, 2010, 2011
• First‐Class Scholarship, Zhejiang University, 2009, 2010, 2011