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Keynote Speakers | 大会主讲人

BDAI2020 Keynote Speakers  

Prof. Kay Chen Tan
City University of Hong Kong, Hong Kong

Fellow of IEEE
陈家进教授, 香港城市大学

Biography: 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 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 artificial/computational intelligence and machine learning, with 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 received the 2016 IEEE Transactions on Neural Networks and Learning Systems Outstanding Paper Award. He was 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.

Prof. Jianhua Zhang
Oslo Metropolitan University, Norway

张建华教授, 挪威奥斯陆城市大学

Biography: Jianhua Zhang has been a full Professor and Deputy Head of OsloMet AI Lab, Department of Computer Science, Oslo Metropolitan University, Norway, since 2018.
Dr Zhang received his PhD from Ruhr University Bochum, Germany and did postdoctoral research at University of Sheffield, UK. From 2007 to 2017 Dr Zhang was full Professor and Head of Intelligent Systems Group at East China University of Science and Technology, Shanghai, China. Between 2017 and 2018 he was Scientific Director and Head of Machine Learning Research Lab at VEKIA, Lille, France. He also held visiting positions as Guest Scientist at Dresden University of Technology, Germany from 2002 to 2003 (for a year) and Visiting Professor at Technical University of Berlin during 2008-2015 (for a year in total).
Dr Zhang’s current research interests include computational intelligence and artificial intelligence, machine learning and deep learning, intelligent systems and control, human-machine systems, brain signal processing, and brain-machine interaction. In those areas, he has published 4 books, 11 invited book chapters, and more than 150 technical papers in journals and conference proceedings.
Dr Zhang serves as Chair of IFAC (International Federation of Automatic Control) Technical Committee on Human-Machine Systems (2017-), Vice-Chair of IEEE CIS (Computational Intelligence Society) Norway Chapter (2018-), Vice-Chair of IEEE Norway Section (2019-), and is on editorial board of four international journals, such as Frontiers in Neuroscience, Cognitive Neurodynamics (Springer), and Cognition, Technology & Work (Springer). He served as IPC Co-Chair for IFAC LSS'13 (Shanghai) and HMS'16 (Kyoto), IPC Chair for IFAC HMS'19 (Tallinn), Technical Associate Editor for 19th and 20th IFAC World Congress (Cape Town, Toulouse), Editor for 21st IFAC World Congress (Berlin), and Conference Co-Chair for IEEE Int. Conf. on Big Data Analytics (ICBDA2019 (Suzhou), ICBDA2020 (Xiamen)). He was an invited keynote speaker or IPC member for a number of international scientific conferences.