Cheng-Hung Chen

陳政宏

Dr. Cheng-Hung Chen 陳政宏

Professor
Department of Electrical Engineering
National Formosa University

Address: No.64, Wunhua Rd., Huwei Township, Yunlin County 632, Taiwan
Office: EE-205
E-Mail: chchen.ee@nfu.edu.tw
Web Page: http://sparc.nfu.edu.tw/~chchen/
Phone: +886-5-6315612
Fax: +886-5-6315609

Biography

Cheng-Hung Chen received the B.S. and M.S. degrees in computer science and information engineering from the Chaoyang University of Technology, Taiwan, in 2002 and 2004, respectively, and the Ph.D. degree in electrical and control engineering from the National Chiao-Tung University, Taiwan, in 2008. Currently, he is a Professor of Electrical Engineering Department, National Formosa University, Yunlin County, Taiwan. His current research interests are fuzzy systems, neural networks, evolutionary algorithms, intelligent control, and evolutionary robots. He has authored or coauthored more than 50 papers published in the referred journals and conference proceedings. He is an Editorial Board Member of the Journal of Advances in Applied & Computational Mathematics since 2014 and a Review Board Member of Applied Intelligence since 2015. He is also a member of the Chinese Fuzzy Systems Association (CFSA), the Taiwanese Association for Artificial Intelligence (TAAI), and the IEEE Computational Intelligence Society.

Education

Ph.D., ECE, National Chiao-Tung University, Taiwan (09/2004-07/2008)
M.S., CSIE, Chaoyang University of Technology, Taiwan (09/2002-06/2004)
B.S., CSIE, Chaoyang University of Technology, Taiwan (09/1998-06/2002)

Experience

Associate Dean, Research & Development Office, National Formosa University, Taiwan (02/2014-07/2017)
Special Assistant, College of Electrical and Computer Engineering, National Formosa University, Taiwan (02/2010-01/2014)
Professor, Department of Electrical Engineering, National Formosa University, Taiwan (02/2017-)
Associate Professor, Department of Electrical Engineering, National Formosa University, Taiwan (08/2013-01/2017)
Assistant Professor, Department of Electrical Engineering, National Formosa University, Taiwan (02/2010-07/2013)

Research Interests

Fuzzy Systems
Neural Networks
Evolutionary Algorithms
Evolutionary Robots
Intelligent Control
Pattern Recognition
Image Processing

Teaching

Graduate
　Fuzzy Control
　Intelligent Control
Undergraduate
　Fuzzy Theory and Application
　Introduction to Neural Network
　Automatic Control
　Linear Algebra
　Probability and Statistics
　Complex Variables

Professional Activities

Editorial Board
Journal of Advances in Applied & Computational Mathematics
Review Board Member
Applied Intelligence
Professional Memberships
　Chinese Fuzzy Systems Association (CFSA)
　Taiwanese Association for Artificial Intelligence (TAAI)
　IEEE Computational Intelligence Society
Committee Member
　2016 International Conference on Soft Computing and Applications
　2016 The 2nd International Conference on Control, Automation and Robotics
　The 7th World Congress on Nature and Biologically Inspired Computing
Reviewer for Journals
　IEEE Transactions on Systems, Man, and Cybernetics: Systems
　IEEE Transactions on Neural Networks and Learning Systems
　IEEE Transactions on Fuzzy Systems
　IET Control Theory & Applications
　IEEE Sensors Journal
　Information Sciences
　Applied Soft Computing
　Soft Computing
　Journal of Intelligent and Fuzzy Systems
　International Journal of Fuzzy Systems
Reviewer for Conferences
　IEEE World Congress on Computational Intelligence
　IEEE International Conference on Fuzzy Systems
　IEEE International Joint Conference on Neural Networks
　IEEE Symposium Series on Computational Intelligence
　International Conference of Intelligent Computing
　International Conference on Hybrid Intelligent Systems

Publications

Journal Papers

n C. H. Chen and W. H. Chen, “Bare-Bones Imperialist Competitive Algorithm for a Compensatory Neural Fuzzy Controller,” Neurocomputing, vol.173, pp. 1519- 1528, Jan. 2016. (SCI/EI)

n C. C. Peng and C. H. Chen, “Compensatory Neural Fuzzy Network with Symbiotic Particle Swarm Optimization for Temperature Control,” Applied Mathematical Modelling, vol. 39, no. 1, pp. 383-395, Jan. 2015. (SCI/EI)

n C. H. Chen and Y. Y. Liao, “Tribal Particle Swarm Optimization for Neurofuzzy Inference Systems and Its Prediction Applications,” Communications in Nonlinear Science and Numerical Simulation, vol. 19, no. 4, pp. 914-929, Apr. 2014. (SCI/EI)

n C. H. Chen, M. T. Su, C. J. Lin, and C. T. Lin, “A Hybrid of Bacterial Foraging Optimization and Particle Swarm Optimization for Evolutionary Neural Fuzzy Classifier,” International Journal of Fuzzy Systems, vol. 16, vo. 3, pp. 422-433, Sep. 2014. (SCI/EI)

n C. H. Chen and S. Y. Yang, “Neural Fuzzy Inference Systems with Knowledge-Based Cultural Differential Evolution for Nonlinear System Control,” Information Sciences, vol. 270, pp. 154-171, Jun. 2014. (SCI/EI)

n C. H. Chen, “Compensatory Neural Fuzzy Networks with Rule-Based Cooperative Differential Evolution for Nonlinear System Control,” Nonlinear Dynamics, vol. 75, no. 1-2, pp. 355-366, Jan. 2014. (SCI/EI)

Conference Papers

n C. H. Chen, W. C. Yang, and W. H. Chen, “Approximation and Prediction Using a TSK-type Neural Fuzzy Controller with an Improved Imperialist Competitive Algorithm,” 2016 The 2nd International Conference on Control, Automation and Robotics, Hong Kong, pp. 144-148, Apr. 28-30, 2016. (EI)

n C. H. Chen and Y. C. Tsai, “Cooperative Particle Swarm Optimization for TSK-Type Neural Fuzzy Systems,” 2014 International Conference on Fuzzy Theory and Its Applications, Kaohsiung, Taiwan, pp. 61-64, Nov. 26-28, 2014. (EI)

n C. H. Chen, Y. Y. Liao, and S. W. Liu, “Neurofuzzy Inference Systems Based on Tribal Particle Swarm Optimization for Forecasting Sunspot Numbers,” 2013 9th International Conference on Information, Communications and Signal Processing, Tainan, Taiwan, Dec. 10-13, 2013. (EI)

n C. H. Chen and W. H. Chen, “Cooperatively Coevolving Differential Evolution for Compensatory Neural Fuzzy Networks,” 2013 International Conference on Fuzzy Theory and Its Applications, Taipei, Taiwan, pp. 264-267, Dec. 6-8, 2013. (EI)