Minghe Sun, Ph.D.

Professor, Management Science and Statistics

Minghe Sun Headshot


Personal Faculty Website

Google Scholar Profile

Minghe Sun received his Ph.D. in business administration with a major in management science and information technology and a minor in operations management from the University of Georgia in 1992. He received his MBA from the Chinese University of Hong Kong in 1987 and a bachelor’s in metallurgy from Northeastern University in China in 1982. Professor Sun has been working at UTSA since he received his doctorate.

His research interests are in mathematical programming and related areas. His recent studies are in supply chain management and machine learning. His work has appeared in almost all major journals in the Management Science/Operations Research/Operations Management/Decision Sciences areas including Management Science, Operations Research, Production and Operations Management, INFORMS Journal on Computing, Decision Sciences, Transportation Science, European Journal of Operational Research, Decision Support Systems, Journal of Heuristics, Annals of Operations Research, Omega, Networks, Computers & Operations Research, among others. He received the prestigious Decision Sciences Institute Elwood S. Buffa Doctoral Dissertation Competition Award in 1993 and the Decision Sciences Institute Best Theoretical/Empirical Research Paper Award twice, once in 2003 and once in 2006.

At UTSA, Professor Sun teaches courses in management science, operations management and business statistics at the undergraduate, MBA and doctoral levels. He received the University of Texas System Chancellor’s Council Outstanding Teaching Award in 1999.


  • Management science and operations management
  • Supply chain management
  • Business statistics

Research Interests

  • Mathematical programming and its applications
  • Supply chain management
  • Machine learning


  • Ph.D. University of Georgia
  • MBA Chinese University of Hong Kong
  • B.S. Northeastern University


  • “Inventory Management with Multisource Heterogeneous Information: Roles of Representation Learning and Information Fusion,” with Z. Y. Chen and Z. P. Fan, IEEE Transactions on Systems, Man and Cybernetics: Systems, Vol. 53, No. 9, 2023, pp. 5343-5355.
  • “Machine Learning Methods for Data-driven Demand Estimation and Assortment Planning Considering Cross-selling and Substitutions,” with Z. Y Chen and Z. P. Fan, INFORMS Journal on Computing, Vol. 35, No. 1, 2023, pp. 158-177.
  • “Equitable Anesthesiologist Scheduling Under Demand Uncertainty Using Multi-Objective Programming,” with K. Sun, D. Agrawal, R. W. Dravenstott, F. A. Rosinia and A. Roy, Production and Operations Management, Vol. 32, No. 11, 2023, pp. 3699-3716.
  • “Optimizing (s, S) Policies for Multi-period Inventory Models with Uncertainties in Demand Distributions: A Robust Dynamic Programming Approach,” with R. Qiu and Y. F. Lim, European Journal of Operational Research, Vol. 261, No. 3, 2017, pp. 880-892.
  • “Sceadan: Using Concatenated N-Gram Vectors for Improved File and Data Type Classification,” with N. L. Beebe, L. A. Maddox and L. Liu, IEEE Transactions on Information Forensics and Security, Vol. 8, No. 9, 2013, pp. 1519-1530.
  • “A Hierarchical Multiple Kernel Support Vector Machine for Customer Churn Prediction Using Longitudinal Behavioral Data,” with Z. Y. Chen and Z. P. Fan, European Journal of Operational Research, Vol. 223, No. 2, 2012, pp. 461-473.
  • “Warm-Start Routines for Solving Augmented Weighted Tchebycheff Programs in Multiple Objective Network Programming,” INFORMS Journal on Computing, Vol. 17, No. 4, 2005, pp. 422-437.
  • “Quad Trees and Linear List for Identifying Nondominated Criterion Vectors”, with R. E. Steuer, INFORMS Journal on Computing, Vol. 8, No. 4, 1996, pp. 367-375.
  • “Solving Multiple Objective Programming Problems Using Feed-Forward Artificial Neural Networks: The Interactive FFANN Procedure,” with A. Stam and R. E. Steuer, Management Science, Vol. 42, No. 6, 1996, pp. 835-849.
  • “The Parameter Space Investigation Method for Multiple Objective Nonlinear Programming: A Computational Investigation,” with R.E. Steuer, Operations Research, Vol. 43, No. 4, 1995, pp. 641-648.