Dr. Shuzhong Zhang

Department of Industrial & Systems Engineering

University of Minnesota

207 Church Street SE

Minneapolis, MN 55455

Email: zhangs at umn.edu

Phone: (612) 624 8406

Curriculum Vitae

Google Scholar 

Elected to INFORMS Fellow, 2024.

According to the 1st edition of top scientists ranking for Mathematics published by Research.com in 2022, I was ranked among top 1000 Scientists in the field of Mathematics (ranked #649 in the world, and #329 in the United States).

• Optimization.

• Risks, Uncertainties, and Robustness.

• Operations Research.

• Signal and Image Processing.

My publications can be found here

• June 1991, Ph.D. Degree in Operations Research, Tinbergen Institute, Erasmus University, Rotterdam, The Netherlands.

• July 1984, B.Sc. Degree in Applied Mathematics, Fudan University, Shanghai, China.

• January 2011 - present, Professor, Department of Industrial & Systems Engineering, University of Minnesota. 

• July 2018 - June 2021, under FCI (Faculty Collaboration Initiative) between UMN and CUHKSZ, appointed as Presidential Chair Professor and Founding Associate Dean of School of Data Science, The Chinese University of Hong Kong, Shenzhen.  

• July 2012 - June 2018, Founding Department Head, Department of Industrial & Systems Engineering, University of Minnesota. 

• August 1999 - December 2010, Associate Professor and Full Professor, Department of Systems Engineering & Engineering Management, The Chinese University of Hong Kong.

• September 1993 – July 1999, universitair docent, the Econometric Institute, Erasmus University, Rotterdam, The Netherlands.

• July 1991 – August 1993, universitair docent, Department of Econometrics, University of Groningen, The Netherlands.

• Casey Garner (co-supervision with Gilad Lerman), School of Mathematics (starting 2019). 

• Nuozhou Wang, Department of Industrial & Systems Engineering (starting 2020). 

• Kevin Huang. Thesis: A Modern Treatise on Variational Inequality Problems: Structures, Algorithms, and Iteration Complexities, 2023. University of Minnesota. 

• Derek Singh. Thesis: Data-driven Distributionally Robust Stochastic Optimization via Wasserstein Distance with Applications to Portfolio Risk Management and Inventory Control, 2020. University of Minnesota. 

• Junyu Zhang. Thesis: Nonconvex Optimization Methods: Iteration Complexity and Applications, 2020. University of Minnesota. 

• Xiaobo Li (co-supervision with Zizhuo Wang). Thesis: Convex Optimization and Online Learning: Their Applications in Discrete Choice Modeling and Pricing, 2018. University of Minnesota. 

• Xiang Gao. Thesis: Low-Order Optimization Algorithms: Iteration Complexity and Applications, 2018. University of Minnesota.

• Shaozhe Tao (co-supervision with Dan Boley). Thesis: Scalable Optimization Methods for Machine Learning: Structures, Properties and Applications, 2018. University of Minnesota.

• Jeff Moulton (co-supervision with Gilad Lerman). Thesis: Robust Fragmentation: A Data-Driven Approach to Decision-Making under Distributional Ambiguity, 2016. University of Minnesota. 

• Bo Jiang. Thesis: Polynomial Optimization: Structures, Algorithms, and Engineering Applications, 2013. University of Minnesota.

• Man Hong Wong. Thesis: Robust Approach to Risk Management and Statistical Analysis, 2012. The Chinese University of Hong Kong. 

• Bilian Chen. Thesis: Optimization with Block Variables: Theory and Applications, 2012. The Chinese University of Hong Kong.

• Xiaoguo Wang. Thesis: A Study of System Efficiencies Through Game Theory and Optimization, 2011. The Chinese University of Hong Kong. 

• Zhening Li. Thesis: Polynomial Optimization Problems: Approximation Algorithms and Applications, 2011. The Chinese University of Hong Kong.

• Hongzhi He (co-supervision with Youyi Feng and Frank Chen). Thesis: A Hub-to-Hub Revenue Management Model, 2010. The Chinese University of Hong Kong.

• Simai He. Thesis: Aspects of the Bridge Between Optimization and Game Theory, 2009. The Chinese University of Hong Kong. 

• Li Chen. Thesis: Risk Measures, Robust Portfolios, and Other Minimax Models, 2008. The Chinese University of Hong Kong. 

• Jiang Xie. Thesis: Constrained Portfolio Selection via High Performance Optimization Techniques, 2006. The Chinese University of Hong Kong.

• Yongwei Huang. Thesis: Complex Quadratic Optimization via Semidefinite Programming: Models and Applications, 2005. The Chinese University of Hong Kong.

• Xiaoqing Wang (co-supervision with David Yao). Thesis: Theory and Algorithms for Separated Continuous Linear Programming and Its Extensions, 2005. The Chinese University of Hong Kong.

• Jianfeng Liang (co-supervision with Duan Li). Thesis: Optimal Portfolio Selection: Models, Analysis, and Solution Methods, 2004. The Chinese University of Hong Kong.

• Jos F. Sturm. Thesis: Primal-Dual Interior Point Approach to Semidefinite Programming, 1997. Erasmus University. 

• Elected to INFORMS Fellow, 2024. 

• Excellent Paper Award (jointly with Xiang Gao), Journal of Operations Research Society of China, 2020.

• The 2015 SPS Signal Processing Magazine Best Paper Award (jointly with Zhi-Quan Luo, Wing-Kin Ma, Anthony Man-Cho So, and Yinyu Ye).

• The IEEE Signal Processing Society Best Paper Award (jointly with Zhi-Quan Luo), 2009. 

• The SIAM Outstanding Paper Prize (jointly with David Yao and Xunyu Zhou), 2003. 

• The Young Researcher Award, The Chinese University of Hong Kong, 2003.

• The Vice-Chancellor’s Exemplary Teaching Award, The Chinese University of Hong Kong, 2001.

• Erasmus University Research Prize, 1999.