Shu-Cherng Fang

University Alumni Distinguished Graduate Professor

Walter Clark Chair

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.

Professor 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.

Discover more about Dr. Fang, see Faculty Profile: Shu-Cherng Fang.


Ph.D. 1979

Doctor of Philosophy in Industrial Engineering

Northwestern University

MS 1977

Master of Science

Johns Hopkins University

BS 1974

Bachelor of Science

National Tsing Hua University Taiwan

Research Description

Linear and nonlinear programming, fuzzy optimization and decision making, soft computing and heuristic methods, logistics and supply chain management, telecommunication networks and L1 splines.

Honors and Awards

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


A sub-one quasi-norm-based similarity measure for collaborative filtering in recommender systems
Jiang, S., Fang, S.-C., An, Q., & Lavery, J. E. (2019), INFORMATION SCIENCES, 487, 142–155.
Bidding Decisions with Nonequilibrium Strategic Thinking in Reverse Auctions
Qian, X., Fang, S.-C., Huang, M., Nie, T., & Wang, X. (2019), GROUP DECISION AND NEGOTIATION, 28(4), 757–786.
Dai, J., Fang, S.-C., & Xing, W. (2019), JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 15(4), 1677–1699.
Robust Regression Models for Load Forecasting
Luo, J., Hong, T., & Fang, S.-C. (2019), IEEE TRANSACTIONS ON SMART GRID, 10(5), 5397–5404.
Winner determination of loss-averse buyers with incomplete information in multiattribute reverse auctions for clean energy device procurement
Qian, X., Fang, S.-C., Huang, M., & Wang, X. (2019), ENERGY, 177, 276–292.
A branch-and-cut algorithm using polar cuts for solving nonconvex quadratic programming problems
Deng, Z. B., Fang, S. C., Lu, C., & Guo, X. L. (2018), Optimization, 67(2), 359–375.
A proximal quadratic surface support vector machine for semi-supervised binary classification
Yan, X., Bai, Y., Fang, S.-C., & Luo, J. (2018), SOFT COMPUTING, 22(20), 6905–6919.
Argument division based branch-and-bound algorithm for unit-modulus constrained complex quadratic programming
Lu, C., Deng, Z. B., Zhang, W. Q., & Fang, S. C. (2018), Journal of Global Optimization, 70(1), 171–187.
Core of the reinsurance market with dependent risks
Zhang, J. H., Fang, S. C., & Xu, Y. F. (2018), Journal of the Operations Research Society of China, 6(1), 49–57.
Enhanced linear reformulation for engineering optimization models with discrete and bounded continuous variables
An, Q., Fang, S. C., Li, H. L., & Nie, T. T. (2018), Applied Mathematical Modelling, 58, 140–157.

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