Shu-Cherng Fang

Walter Clark Chair Professor and University Alumni Distinguished Graduate Professor

Shu-Cherng Fang has been appointed as the University Chair Professor of Tsinghua University (Beijing), Honorary University Professor of Northeast University (Shenyang), Honorary University Professor of Shanghai University (Shanghai), Honorary University Professor of Fudan University (Shanghai), Graduate University Advisory Professor of the Chinese Academy of Sciences (Beijing), Honorary University Chair Professor of the National Chiao Tung University (Taiwan) and Honorary IEEM Chair Professor of the National Tsinghua University (Taiwan). Before joining NC State, Professor Fang was Senior Member of Research Staff at Western Electric Engineering Research Center, Supervisor at AT&T Bell Labs, and Department Manager at the Corporate Headquarters of AT&T Technologies.

Fang has published over two hundred refereed journal articles. He authored the books of Linear Optimization and Extensions: Theory and Algorithms (Prentice Hall 1993, with S. C. Puthenpura), Entropy Optimization and Mathematical Programming (Kluwer Academic 1997, with J.R. Rajasekera and H.-S. Tsao) and Linear Conic Optimization (Science Press 2013, with Wenxun Xing). He currently serves on the editorial boards of several scientific journals, including Optimization, Journal of Global Optimization, Optimization Letters, Pacific Journal of Optimization, Journal of Management and Industrial Optimization, Annals of Data Science, Systems Engineering – Theory and Practice, Journal of Systems Science and Information, Journal of Operations and Logistics, International Journal of Decision Support Systems, Chinese Journal of Management Science, Journal of Uncertainties, International Journal of Fuzzy Systems, Iranian Journal of Fuzzy Systems, Fuzzy Information and Engineering, OR Transactions and Journal of the Operations Research Society of China. He is also the Editor-in-Chief of Fuzzy Optimization and Decision Making.

Research Interests

Shu-Cherng Fang’s research interest include linear and nonlinear programming, fuzzy optimization and decision making, soft computing and heuristic methods, logistics and supply chain management, telecommunication networks and L1 splines.

Education

DegreeProgramSchoolYear
Ph.D.Doctor of Philosophy in Industrial Engineering and Management SciencesNorthwestern University1979
MSMaster of ScienceJohns Hopkins University1977
BSBachelor of ScienceNational Tsing Hua University Taiwan1974

Honors and Awards

  • 2015 | Fellow, Chinese Institute of Industrial Engineers
  • 2007 | Outstanding Alumnus Award – College of Science, National Tsing Hua University, Taiwan, ROC
  • 2005 | University Distinguished Graduate Professorship Award, NC State University
  • 2002 | Fellow, Institute of Industrial Engineers
  • 2001 | R. J. Reynolds Award for Excellency in Teaching, Research, and Extension – NC State University
  • 2001 | Jackson Rigney International Service Award – N C State University
  • 1988 | University Outstanding Research Award – NC State University
  • 1987 | Corporate Special Merit Award – AT&T Corporate Headquarters
  • 1986 | Exceptional Contribution Award – AT&T Bell Laboratories
  • 1984 | Corporate Technical Achievement Award – AT&T Technologies

 

Discover more about Shu-Cherng Fang

 

Publications

A large language model-based method using weighted double-well potential support vector regression for foreign exchange rate robust forecasting
Luo, R., Liu, J., Gao, Z., & Fang, S.-C. (2026, January 2), Applied Soft Computing, Vol. 1. https://doi.org/10.1016/j.asoc.2026.114553
A Sparsity‐Driven Solution Method for the Cardinality Constrained Mean‐Variance Portfolio Selection Problem
Jiang, S., Fang, S. C., & An, Q. (2025, February 21), Naval Research Logistics (NRL), Vol. 2. https://doi.org/10.1002/nav.22251
Integrating Supply, Production, and Demand Uncertainties in Manufacturing Inventory Systems
Wang, G., Huang, M., Perera, S. C., Jiang, S., & Fang, S.-C. (2025, January 1), IEEE Transactions on Engineering Management, Vol. 72, pp. 3749–3764. https://doi.org/10.1109/TEM.2025.3599638
Mathematical modeling and optimization of multi-period fourth-party logistics network design problems with customer satisfaction-sensitive demand
Zhang, Y., Huang, M., Fu, Y., Jiang, S., Wang, X., & Fang, S.-C. (2025, March 25), Expert Systems with Applications, Vol. 278. https://doi.org/10.1016/j.eswa.2025.127219
A distributionally robust chance-constrained kernel-free quadratic surface support vector machine
Lin, F., Fang, S.-C., Fang, X., Gao, Z., & Luo, J. (2024, February 22), European Journal of Operational Research, Vol. 316, pp. 46–60. https://doi.org/10.1016/j.ejor.2024.02.022
A new global algorithm for homogeneous complex quadratic programming problems and applications
Yingzhe, X., Jintao, X., Cheng, L., Shu-Cherng, F., & Zhibin, D. (2024, January 1), Pacific Journal of Optimization, Vol. 20, pp. 667–682. https://doi.org/10.61208/pjo-2024-001
Collaborative supply chain network design under demand uncertainty: A robust optimization approach
Zhang, Q., Wang, Z., Huang, M., Wang, H., Wang, X., & Fang, S.-C. (2024, November 12), International Journal of Production Economics, Vol. 279. https://doi.org/10.1016/j.ijpe.2024.109465
Distributionally robust chance-constrained kernel-based support vector machine
Lin, F., Fang, S.-C., Fang, X., & Gao, Z. (2024, July 3), Computers & Operations Research, Vol. 170. https://doi.org/10.1016/j.cor.2024.106755
Enhancing supply chain coordination through transparency initiatives to mitigate product returns
Zhao, L., Guo, W., Fang, S.-C., & An, Q. (2024, February 19), Journal of Retailing and Consumer Services, Vol. 78. https://doi.org/10.1016/j.jretconser.2024.103756
Fourth-party logistics network design with demand surge: A greedy scenario-reduction and scenario-price based decomposition algorithm
Jiang, S., Huang, M., Zhang, Y., Wang, X., & Fang, S.-C. (2024, January 3), International Journal of Production Economics, Vol. 269. https://doi.org/10.1016/j.ijpe.2023.109135

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Shu-Cherng Fang