Kay Chen Tan

Kay Chen Tan,
Associate Professor, Dept. of Electrical and Computer Engineering, National University of Singapore, Singapore

Title: Advances in Evolutionary Learning and Optimization

 

Abstract:

This talk will first provide an overview of evolutionary computation for multi-objective optimization (EMO). It will then discuss challenges faced in EMO research and present various EMO algorithms for good optimization performance. The talk will also discuss the application of evolutionary computing techniques for solving engineering problems, such as classification in data mining, evolutionary learning and prognostic applications.

 

Bio Sketch:

Kay Chen TAN is currently an Associate Professor in the Department of Electrical and Computer Engineering, National University of Singapore. He is actively pursuing research in computational and artificial intelligence, with applications to multi-objective optimization, scheduling, automation, data mining, and games.

Dr Tan has published over 100 journal papers, over 100 papers in conference proceedings, co-authored 5 books including Multiobjective Evolutionary Algorithms and Applications (Springer-Verlag, 2005), Modern Industrial Automation Software Design (John Wiley, 2006; Chinese Edition, 2008), Evolutionary Robotics: From Algorithms to Implementations (World Scientific, 2006; Review), Neural Networks: Computational Models and Applications (Springer-Verlag, 2007), and Evolutionary Multi-objective Optimization in Uncertain Environments: Issues and Algorithms (Springer-Verlag, 2009), co-edited 4 books including Recent Advances in Simulated Evolution and Learning (World Scientific, 2004), Evolutionary Scheduling (Springer-Verlag, 2007), MultiobjectiveMemetic Algorithms (Springer-Verlag, 2009), and Design and Control of Intelligent Robotic Systems (Springer-Verlag, 2009).

Dr Tan is currently an IEEE Distinguished Lecturer of IEEE Computational Intelligence Society. He has been invited to be a keynote/invited speaker for over 30 international conferences. He served in the international program committee for over 100 conferences and involved in the organizing committee for over 30 international conferences, including the General Co-Chair for IEEE Congress on Evolutionary Computation 2007 in Singapore and the General Co-Chair for IEEE Symposium on Computational Intelligence in Scheduling 2009 in Tennessee, USA.

Dr Tan is currently the Editor-in-Chief of IEEE Computational Intelligence Magazine. He also serves as an Associate Editor / Editorial Board member of over 15 international journals, such as IEEE Transactions on Evolutionary Computation, IEEE Transactions on Computational Intelligence and AI in Games, Evolutionary Computation (MIT Press), European Journal of Operational Research, Journal of Scheduling, and International Journal of Systems Science.

Dr Tan is 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 (2008) from the International Network for Engineering Education & Research (iNEER) for his outstanding contributions to engineering education and research.