ZHANG Xun
中文
ZHANG Xun
Non-tenured Research Associate

Discipline: Operations Management
Email:zhangxun2024@ustc.edu.cn
Joined University of Science and Technology of China in 2024

Xun Zhang received his Ph.D. in Management Science and Engineering from Shanghai Jiao Tong University in December 2023, under the supervision of Prof. Ying Rong. During his doctoral studies, he was a visiting Ph.D. student at the National University of Singapore, advised by Prof. Melvyn Sim. In January 2024, he joined the University of Science and Technology of China (USTC). His research focuses on data-driven robust optimization theory and applications, as well as their interdisciplinary integration with machine learning and econometrics. He has published multiple papers in prestigious academic journals, including Management Science and Operations Research. He currently serves as the Principal Investigator for the National Natural Science Foundation of China (NSFC) Young Scientists Fund (Category C), the Anhui Provincial Natural Science Foundation Young Scientists Fund, and other research projects.


Selected Papers:

  1. Managing Inventory and Pricing with Contextual Robust Optimization, with Tang Qinshen, Zhi Chen, Li Chen, Management Science (Published Online).

  2. Decision-Driven Regularization: A Blended Model for Learning and Optimization, with Loke Gar Goei, Qinshen Tang, Yangge Xiao, INFORMS Journal on Computing (Published Online).

  3. Robust Actionable Prescriptive Analytics, with Chen Li, Melvyn Sim, Long Zhao, Minglong Zhou, Operations Research, 2026, 74(1): 550-571.

  4. Target-oriented Robust Satisficing Models for the Single Machine Scheduling Problems with Release Time, with Chen Du, Computers & Operations Research (2024): 106642.

  5. Multiple-purchase Choice Model: Estimation and Optimization, with Wang Mengmeng, Xiaolong Li, International Journal of Production Economics 265 (2023): 109010.

  6. Prepositioning Network Design for Humanitarian Relief Purposes under Correlated Demand Uncertainty, with Chen Du, Computers & Industrial Engineering (2023): 109365.


Email: xunzhang2023@outlook.com