Shu-Cherng Fang
University Alumni Distinguished Graduate Professor
Walter Clark Chair
- 919-515-2192
- fang@ncsu.edu
- 450 Daniels Hall
- Visit My Website
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.
Education
Doctor of Philosophy in Industrial Engineering
Northwestern University
Master of Science
Johns Hopkins University
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
Publications
- 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. https://doi.org/10.1007/s00500-017-2751-z
- 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. https://doi.org/10.1007/s10898-017-0551-8
- 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. https://doi.org/10.1007/s40305-017-0173-3
- 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. https://doi.org/10.1016/j.apm.2017.09.047
- Geometric programming with discrete variables subject to max-product fuzzy relation constraints
- Qin, Z. J., Cao, B. Y., Fang, S. C., & Yang, X. P. (2018), Discrete Dynamics in Nature and Society. https://doi.org/10.1155/2018/1610349
- Inventory centralization with risk-averse newsvendors
- Zhang, J., Fang, S.-C., & Xu, Y. (2018), ANNALS OF OPERATIONS RESEARCH, 268(1-2), 215–237. https://doi.org/10.1007/s10479-017-2578-0
- Reverse auctions with regret-anticipated bidders
- Qian, X., Fang, S.-C., Huang, M., An, Q., & Wang, X. (2018), ANNALS OF OPERATIONS RESEARCH, 268(1-2), 293–313. https://doi.org/10.1007/s10479-017-2475-6
- 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. https://doi.org/10.1080/02331934.2017.1391253
- Best L-1 approximation of Heaviside-type functions from Chebyshev and weak-Chebyshev spaces
- Gajny, L., Gibaru, O., Nyiri, E., & Fang, S. C. (2017), Numerical Algorithms, 75(3), 827–843. https://doi.org/10.1007/s11075-016-0222-8
- Conic approximation to quadratic optimization with linear complementarity constraints
- Zhou, J., Fang, S. C., & Xing, W. X. (2017), Computational Optimization and Applications, 66(1), 97–122. https://doi.org/10.1007/s10589-016-9855-8