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IEEE Computational Intelligence Society Distinguished Lecture

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EN Building, Level 1, Lecture Theatre (EN101)

Swinburne University of Technology, Hawthorn Campus

PO Box 218 Hawthorn

Hawthorn, Victoria 3122

Australia

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IEEE Computational Intelligence Society Distinguished Lecture by Prof Kay Chen Tan (IEEE Fellow, Editor-in-Chief of IEEE Transactions on Evolutionary Computation)

(Sponsored by the Computational Intelligence Society under its Distinguished Lecturer Program and Swinburne University of Technology, Melbourne, Australia)


Title: Applications of Computational Intelligence in Condition-Based Maintenance


Abstract: Condition-based maintenance (CBM) is an important tool for running a plant or factory in an optimal manner. Better operations will lead to lower production cost and lower use of resources. Data-driven approaches which do not rely on the domain knowledge are popular in solving CBM problems. This talk will provide an overview of computational intelligence in the application of CBM such as robust prognostic and automated surface inspection. As one of the key enablers of condition-based maintenance, prognostic involves the core task of determining the remaining useful life of a system. This talk will discuss the use of deep learning ensembles to improve the prediction accuracy of remaining useful life estimation. A case study involving the estimation of remaining useful life for turbofan engines will also be presented.


Short Bio: Prof. TAN Kay Chen received the B.Eng. degree (First Class Hons.) and the Ph.D. degree from the University of Glasgow, U.K., in 1994 and 1997, respectively. He is currently a Professor with the Department of Computer Science, City University of Hong Kong, Hong Kong. He has published over 130 journal papers and over 130 papers in conference proceedings, and co-authored six books. His current research interests include computational intelligence and its applications to evolutionary multi-objective optimization, data analytics, prognostics, BCI, and operational research etc.

He is the Editor-in-Chief of IEEE Transactions on Evolutionary Computation (IF: 10.629), was the EiC of IEEE Computational Intelligence Magazine (2010-2013), and currently serves on the Editorial Board of over 10 international journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Computational Intelligence and AI in Games, Evolutionary Computation (MIT Press) etc. He has been an invited Keynote/Plenary speaker for over 60 international conferences and was the General Co-Chair for IEEE World Congress on Computational Intelligence (WCCI) 2016 in Vancouver, Canada. He also serves as the General Co-Chair for IEEE Congress on Evolutionary Computation (CEC) 2019 in Wellington, New Zealand.

He is a Fellow of IEEE, an elected AdCom member of IEEE Computational Intelligence Society (2014-2019), and an IEEE Distinguished Lecturer (2011-2013; 2015-2017). He was a recipient of the 2016 IEEE Transactions on Neural Networks and Learning Systems Outstanding Paper Awards. He was also the awardee of the 2012 IEEE Computational Intelligence Society 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.

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EN Building, Level 1, Lecture Theatre (EN101)

Swinburne University of Technology, Hawthorn Campus

PO Box 218 Hawthorn

Hawthorn, Victoria 3122

Australia

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