Keynote Speakers/特邀报告专家-ICCIA2021

IEEE Fellow, Prof. Shugong Xu, Shanghai University, China

Biography: Shugong Xu is professor at Shanghai University, IEEE Fellow, head of the Shanghai Institute for Advanced Communication and Data Science (SICS). In his 20+ years career in research (over 15 years in industrial research labs, including Sharp Labs of America, Huawei 2012 Labs and Intel Labs ), he had over 40 issued US/WO/CN patents and published more than 100 peer-reviewed research papers. His work was among the major triggers to the research and standardization of IEEE 802.11S. He founded and directed the green radio project GREAT at Huawei, led the China national 863 theme project on green networks as PI, and served as co-chair of the Technical Committee of Green Touch Consortium. He was awarded ‘National Innovation Leadership Talent’ by China government in 2013, was elevated to IEEE Fellow in 2015. Shugong is also the winner of the 2017 Award for Advances in Communication from IEEE Communications Society. Shugong received his BS degree from Wuhan University, ME and PhD degrees from Huazhong University of Science and Technology (HUST). His current research interests include wireless communication systems, computer vision and machine learning.

IEEE Fellow, Prof. Mengjie Zhang, Victoria University of Wellington, New Zealand

Biography: Mengjie Zhang is a Fellow of Royal Society of New Zealand, a Fellow of IEEE, an IEEE Distinguished Lecturer, currently Professor of Computer Science at Victoria University of Wellington, where he heads the interdisciplinary Evolutionary Computation Research Group. He is a member of the University Academic Board, a member of the University Postgraduate Scholarships Committee, Associate Dean (Research and Innovation) in the Faculty of Engineering, and Chair of the Research Committee of the Faculty of Engineering and School of Engineering and Computer Science.

His research is mainly focused on artificial intelligence (AI), machine learning and big data, particularly in evolutionary computation and learning (using genetic programming, particle swarm optimisation and learning classifier systems), feature selection/construction and big dimensionality reduction, computer vision and image processing, job shop scheduling and resource allocation, multi-objective optimisation,  classification with unbalanced data and missing data, and evolutionary deep learning and transfer learning. Prof Zhang has published over 600 research papers in refereed international journals and conferences in these areas. He has been serving as an associated editor or editorial board member for over ten international journals including IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, IEEE Transactions on Emergent Topics in Computational Intelligence, ACM Transactions on Evolutionary Learning and Optimisation, the Evolutionary Computation Journal (MIT Press), Genetic Programming and Evolvable Machines (Springer), Applied Soft Computing, Natural Computing, and Engineering Applications of Artificial Intelligence, and as a reviewer of over 30 international journals. He has been involving major AI and EC conferences such as GECCO, IEEE CEC, EvoStar, AAAI, PRICAI, PAKDD, AusAI, IEEE SSCI and SEAL as a Chair. He has also been serving as a steering committee member and a program committee member for over 100 international conferences. Since 2007, he has been listed as one of the top ten (currently No. 4) world genetic programming researchers by the GP bibliography (http://www.cs.bham.ac.uk/~wbl/biblio/gp-html/index.html).

Prof Zhang is a past Chair of the IEEE CIS Intelligent Systems Applications, the IEEE CIS Emergent Technologies Technical Committee and the IEEE CIS Evolutionary Computation Technical Committee, a vice-chair of the IEEE CIS Task Force on Evolutionary Feature Selection and Construction, a vice-chair of the IEEE CIS Task Force on Evolutionary Computer Vision and Image Processing, and the founding chair of the IEEE Computational Intelligence Chapter in New Zealand.

IEEE Fellow, Prof. Ponnuthurai Nagaratnam Suganthan, Nanyang Technological University, Singapore

Biography: Ponnuthurai Nagaratnam Suganthan received the B.A degree, Postgraduate Certificate and M.A degree in Electrical and Information Engineering from the University of Cambridge, UK in 1990, 1992 and 1994, respectively. He received an honorary doctorate (i.e. Doctor Honoris Causa) in 2020 from University of Maribor, Slovenia. After completing his PhD research in 1995, he served as a pre-doctoral Research Assistant in the Dept of Electrical Engineering, University of Sydney in 1995–96 and a lecturer in the Dept of Computer Science and Electrical Engineering, University of Queensland in 1996–99. He moved to Singapore in 1999. He is an Editorial Board Member of the Evolutionary Computation Journal, MIT Press (2013-2018). He is/was an associate editor of the Applied Soft Computing (Elsevier, 2018-), Neurocomputing (Elsevier, 2018-), IEEE Trans on Cybernetics (2012 - 2018), IEEE Trans on Evolutionary Computation (2005 - ), Information Sciences (Elsevier) (2009 - ), Pattern Recognition (Elsevier) (2001 - ) and Int. J. of Swarm Intelligence Research (2009 - ) Journals. He is a founding co-editor-in-chief of Swarm and Evolutionary Computation (2010 - ), an SCI Indexed Elsevier Journal. His co-authored SaDE paper (published in April 2009) won the "IEEE Trans. on Evolutionary Computation outstanding paper award" in 2012. His former PhD student, Dr Jane Jing Liang, won the IEEE CIS Outstanding PhD dissertation award, in 2014. His research interests include swarm and evolutionary algorithms, pattern recognition, big data, deep learning and applications of swarm, evolutionary & machine learning algorithms. His publications have been well cited. His SCI indexed publications attracted over 1000 SCI citations in each calendar year since 2013. He was selected as one of the highly cited researchers by Thomson Reuters yearly from 2015 to 2020 in computer science. He served as the General Chair of the IEEE SSCI 2013. He has been a member of the IEEE (S'90, M'92, SM'00, F'15) since 1991 and an elected AdCom member of the IEEE Computational Intelligence Society (CIS) in 2014-2016. He is an IEEE CIS distinguished lecturer (DLP) in 2018-2021.

IEEE Fellow, Prof. Shyi-Ming Chen, National Taiwan University of Science and Technology, Taiwan

Biography: Professor Shyi-Ming Chen received the Ph.D. degree in Electrical Engineering from National Taiwan University, Taipei, Taiwan, in June 1991. He is a Chair Professor in the Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. From August 2007 to July 2010, he was the Dean of the College of Electrical Engineering and Computer Science, Jinwen University of Science and Technology, New Taipei City, Taiwan. From August 2011 to July 2012, he was the Vice President of the National Taichung University of Education, Taichung, Taiwan. He was the President of the Taiwanese Association for Artificial Intelligence (TAAI) from January 2005 to January 2009. He was the President of the Taiwanese Association for Consumer Electronics (TACE) from December 2008 to December 2012 and from December 2014 to December 2016. He has published more than 500 papers in referred journals, conference proceedings and book chapters. His research interests include Fuzzy Systems, Intelligent Systems, Knowledge-Based Systems, Neural Networks, Data Mining, Information Retrieval, and Genetic Algorithms.

Professor Chen is an IEEE Fellow, an IET Fellow and an IFSA Fellow. He was a Distinguished Lecturer of the IEEE Systems, Man, and Cybernetics (SMC) Society from 2012 to 2015. He has received numerous honors and awards, including the 2001 Distinguished Talented Person Award, Republic of China, for Distinguished Contributions in Information Technologies, the 2002 Distinguished Electrical Engineering Professor Award granted by the Chinese Institute of Electrical Engineering (CIEE), Republic of China, and the 2008 Distinguished Engineering Professor Award granted by the Chinese Institute of Engineers (CIE), Republic of China. He was a 2014 Fellow Evaluation Committee Member of the IEEE Systems, Man, and Cybernetics Society.

Professor Chen is an Editor-in-Chief of the journal of Granular Computing (Published by Springer), an Associate Editor of the IEEE Transactions on Cybernetics, an Associate Editor of Information Sciences, an Editorial Board Member of Information Fusion, an Editorial Board Member of Applied Soft Computing, an Editorial Board Member of Applied Intelligence, an Associate Editor of the Journal of Intelligent & Fuzzy Systems, an Associate Editor of the International Journal on Artificial Intelligence Tools, an Associate Editor of the International Journal of Pattern Recognition and Artificial Intelligence, an Editor of New Mathematics and Natural Computation, an Associate Editor of the International Journal of Fuzzy Systems, an Associate Editor of the Journal of Information Science and Engineering, an Associate Editor of Fuzzy Optimization and Decision Making, an Editorial Board Member of Knowledge-Based Systems, and an Associate Editor of the International Journal of Innovative Computing, Information and Control. He was an Associate Editor of the IEEE Transactions on Fuzzy Systems, an Associate Editor of the IEEE Transactions on Systems, Man, and Cybernetics: Systems, an Associate Editor of the IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, an Associate Editor of the IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews, an Associate Editor of the IEEE Computational Intelligence Magazine, and an Editorial Board Member of Soft Computing.