Outstanding Educator Award

Assistant Professor TAN Kay Chen

PhD (University of Glasgow), BEng (Hons) (University of Glasgow)
Department of Electrical and Computer Engineering

Current Teaching Portfolio
Introduction to Fuzzy/Neural Systems
Distributed Autonomous Robotic Systems
Neural Networks (MSc Course)

Teaching Achievements
  • co-wrote a book on fuzzy neural systems titled Evolutionary Multi-objective Optimisation: Algorithms and Applications (Springer Verlag, Series on Knowledge Systems, United Kingdom)
  • co-wrote a number of educational articles which were published in IEEE Transactions on Education and The 2nd Symposium on Teaching and Learning in Higher Education
  • produced a downloadable software for teaching and research called Multiobjective Evolutionary Algorithm toolbox that is used in other universities

Teaching Strengths
  • effectively uses real-life examples to stimulate students' learning interest and motivates them to apply knowledge creatively
  • makes learning a positive and enjoyable experience by delivering lectures in a student-oriented and interactive manner
  • stays abreast of current research and developments to ensure relevance of knowledge imparted

International Standing
  • Member, Organising Committee, 2004 IEEE Conference on Cybernetics and Intelligent Systems, 2003 IEEE Congress on Evolutionary Computation, 2002 IEEE World Congress on Computational Intelligence and 2001 FIRA Robot World Congress

    Publication Credits
    37 papers published in journals such as Journal of Artificial Intelligence Research and IEEE Transactions on Neural Networks

    Editorial Board Memberships
    • Associate Editor, IEEE Transactions on Evolutionary Computation
    • Associate Editor, International Journal of Systems Science

    Awards and Accolades
    • Engineering Educator Awards, NUS Faculty of Engineering, 2002-2003
    • Teaching Honours List Awards, NUS Faculty of Engineering, 2001
    • Gilbert Cook Prize in Mathematics/Engineering, University of Glasgow, 1994

    Research Aspiration
    to produce engineers who are independent in learning, creative in thinking and innovative in applying knowledge.