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Department of Computer Science Colloquium
2017 Series

EC at Work: Opportunities and Challenges

Dr. Kay Chen Tan
Associate Professor of Department of Electrical and Computer Engineering
National University of Singapore

Date: February 13, 2017 (Monday)
Time: 11:30 am - 12:30 pm
Venue: SCT909, Cha Chi Ming Science Tower, Ho Sin Hang Campus

Evolutionary Computation (EC), which is based on the principles of natural selection and genetic inheritance, is often considered a global optimization methodology with a metaheuristic or stochastic optimization character. It is distinguished by the use of a population of candidate solutions rather than traditional approach of iterating over a single point in the search space. EC is being increasingly applied to many problems, ranging from practical applications in industry to cutting-edge scientific research. The seminar will provide a brief overview of this exciting research field including opportunities and challenges faced in theoretical research and in applying EC to multi-objective optimization problems, such as design automation and logistics. A practical application involving the estimation of remaining useful life (RUL) for turbofan engines in robust prognostic will be presented. As one of the key enablers of condition-based maintenance, prognostic involves the core task of determining the RUL of the system. The seminar will also show an application of evolutionary deep learning ensembles to improve the prediction accuracy of RUL estimation for turbofan engines.

Dr Kay Chen TAN received the B.Eng. (Hons.) degree in electronics and electrical engineering and the Ph.D. degree from University of Glasgow, Glasgow, U.K., in 1994 and 1997, respectively. He is currently with the Department of Electrical and Computer Engineering, National University of Singapore. He is actively pursuing research in artificial and computational intelligence, with applications to multi-objective optimization, data analytics, prognostics, etc.

Dr Tan has published over 250 journal and conference papers and co-authored 5 books. He has been an Invited Keynote/Plenary speaker for over 50 international conferences. He was the General Co-Chair for IEEE World Congress on Computational Intelligence 2016 in Vancouver, Canada. Dr Tan is currently an elected member of AdCom (2014-2019) for IEEE Computational Intelligence Society and an IEEE Distinguished Lecturer (DLP) (2011-2017).

Dr Tan is a Fellow of IEEE and currently serve as the Editor-in-Chief of IEEE Transactions on Evolutionary Computation (Impact Factor: 5.908). He also served as the Editor-in-Chief of IEEE Computational Intelligence Magazine (2010-2013). Dr Tan is currently an Associate Editor / Editorial Board member of over 20 international journals, such as IEEE Transactions on Cybernetics, IEEE Transactions on Computational Intelligence and AI in Games, Evolutionary Computation (MIT Press), etc.

Dr Tan received the 2016 IEEE CIS TNNLS Outstanding Paper Award for his paper titled "Rapid Feedforward Computation by Temporal Encoding and Learning with Spiking Neurons". He was the awardee of the 2012 IEEE Computational Intelligence Society (CIS) Outstanding Early Career Award for his contributions to evolutionary computation in multi-objective optimization. He also received the Recognition Award from the International Network for Engineering Education & Research (iNEER) in 2008 for his outstanding contributions to engineering education and research.

********* ALL INTERESTED ARE WELCOME ***********
(For enquiry, please contact Computer Science Department at 3411 2385)
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