Prof. Shun-Feng Su

Shun-Feng Su received the B.S. degree in electrical engineering from National Taiwan University, Taiwan, R.O.C., in 1983, and the M.S. and Ph.D. degrees in electrical engineering from Purdue University, West Lafayette, Indiana, in 1989 and 1991, respectively.
He is now a chair Professor in the Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. He is an IEEE Fellow and also an IET Fellow. He has published more than 150 refereed journals and conference papers in the areas of robotics, intelligent control, fuzzy systems, neural networks, and non-derivative optimization. His current research interests include neural networks, fuzzy modeling, machine learning, virtual reality simulation, intelligent transportation systems.

email: su@orion.ee.ntust.edu.tw; TEL: 886-2-27333141#6704

Current Position

  • Chair Professor, Department of Electrical Engineering, National Taiwan University of Science and Technology.
  • IEEE Fellow
  • IET Fellow.
  • CACS Fellow
  • President, Taiwan Fuzzy System Association.(Publisher of International Journal of Fuzzy Systems)
  • Member of Administrative Committee, IEEE Taipei section
  • Secretary, IEEE Taipei section
  • Member of Administrative Committee, Taiwan Association of System Science and Engineering.
  • Member of Administrative Committee, Taiwan Society of Robotics.
  • Member of Administrative Committee, Chinese Automatic Control Society.
  • Member of Conference and Meeting Committee, IEEE SMC Society
  • Member of Council, International Fuzzy System Association
  • Associate Editor of IEEE Trans. on Systems, Man, and Cybernetics, Part B: Cybernetics.
  • Area Editor of International Journal of Fuzzy Systems.
  • Honorary Member of the Editorial Board of the International Journal of BioSciences and Technology.

Research Area
  • Numerical Learning Theorems (Learning Algorithms、Network Structure Design、Robust Learning Analysis、Parallel learning Design);
  • Optimization Techniques (Ant Systems、Swarm Algorithm、Networks Evolution Approaches);
  • Intelligent Control Theorems and Applications (Neural Control、Fuzzy Control Analysis and Design、Online Learning Control);
  • Automation Techniques (Assembly Analysis、Uncertainty Propagation Calculation、Logistic Analysis and Error Management in Fabs);
  • Robotics (Robot Vision、Human-Machine Interface、Real-time Control Systems、Hierarchical System Design);
  • Intelligent Transportation Systems (Signaling Monitoring and Control、Modeling and Analysis of Local Transportation Systems、Computer-Aided Driving Systems);
  • Bioinformatics (Multi-sequence alignment and Analysis、Structure Prediction、Micro-array Data Analysis);
  • Smart Home (Aware Home、Intelligent Home Interface、 Intelligent Database Integration and Retrieval)。