崔政，现任浙江大学管理学院数据科学与管理工程学系“百人计划”研究员、博士生导师。国家级青年人才计划入选者（2024）。研究兴趣包括数据驱动的决策研究，供应链与库存管理，鲁棒优化，收益管理，目标驱动的风险管理等问题。学术论文发表在Operations Research, Production and Operations Management, INFORMS Journal on Computing 等期刊。

职业经历：

2022年，浙江大学，“百人计划”研究员。

2021年，香港科技大学，博士后。

2020年，香港中文大学，博士后。

2019年，华为诺亚方舟实验室，研究员。

教育背景：

2014年 - 2018年，香港中文大学，系统工程与工程管理，博士。

2010年 - 2014年，中国科学技术大学，物理，学士。

Selected Papers (商学院UTD24期刊):

Cui Z, Long D Z, Qi J, et al. The inventory routing problem under uncertainty[J]. Operations Research, 2023, 71(1): 378-395. (Link)

Cui Z, Ding J, Long D Z, et al. Target‐based resource pooling problem[J]. Production and Operations Management, 2023, 32(4): 1187-1204. (Link)

Chow V T F, Cui Z, Long D Z. Target-Oriented Distributionally Robust Optimization and Its Applications to Surgery Allocation[J]. INFORMS Journal on Computing, 2022, 34(4): 2058-2072. (Link)

Selected Papers (其他): 

Xie C, Cui Z, Long D Z, et al. Distributionally robust optimization for minimizing price fluctuations in quota system[J]. Transportation Research Part E: Logistics and Transportation Review, 2025, 193: 103812. (Link)

Yang C, Zhang Z, Cao B, Cui Z, et al. Fragility Index: A New Approach for Binary Classification[C]. KDD'23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2023: 2918-2929. (Link)

Li R, Cui Z, Kuo Y H, et al. Scenario-based distributionally robust optimization for the stochastic inventory routing problem[J]. Transportation Research Part E: Logistics and Transportation Review, 2023, 176: 103193. (Link)

Li Y, Cui Z, Shen H, et al. Target-based project crashing problem by adaptive distributionally robust optimization[J]. Computers & Industrial Engineering, 2021, 157: 107160. (Link)

Working Papers:

The Power of Reactive Upgrades in Dynamic Resource Allocation with General Upgrading. (Link)

Fragility-aware Classification for Understanding Risk and Improving Generalization. (Link)

Target-based inventory fulfillment with fairness consideration.

Budget-oriented Approach to Bin Procurement Problem: Coping with Demand Uncertainty and Bin Substitution.

应用运筹学I （本科生）

高级优化专题 （博士生）

区块链技术与应用 （MBA、英文）