KEYNOTE SPEAKERS

Prof. Witold Pedrycz, IEEE Life Fellow
University of Alberta, Edmonton, Canada

Witold Pedrycz (IEEE Life Fellow) is Professor and Canada Research Chair (CRC) in Computational Intelligence in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland. Dr. Pedrycz is a foreign member of the Polish Academy of Sciences and a Fellow of the Royal Society of Canada. He is a recipient of several awards including Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Society, IEEE Canada Computer Engineering Medal, a Cajastur Prize for Soft Computing from the European Centre for Soft Computing, a Killam Prize, a Fuzzy Pioneer Award from the IEEE Computational Intelligence Society, and 2019 Meritorious Service Award from the IEEE Systems Man and Cybernetics Society.

His main research directions involve Computational Intelligence, fuzzy modeling and Granular Computing, knowledge discovery, pattern recognition, data science, knowledge-based neural networks among others.

Dr. Pedrycz is involved in editorial activities. He is an Editor-in-Chief of Information Sciences, Editor-in-Chief of WIREs Data Mining and Knowledge Discovery (Wiley), and Co-editor-in-Chief of Int. J. of Granular Computing (Springer) and J. of Data Information and Management (Springer).

Prof. Ir Dr Yiu-Ming Cheung (FIEEE, FAAAS, FIET, FBCS)
Hong Kong Baptist University, Hong Kong

Yiu-ming Cheung (SM’06--F’18) received Ph.D. degree from Department of Computer Science and Engineering at The Chinese University of Hong Kong. Currently, he is a Chair Professor (Artificial Intelligence) of the Department of Computer Science and the Dean of Institute for Research and Continuing Education (IRACE) in Hong Kong Baptist University (HKBU). He is an IEEE Fellow, AAAS Fellow, IET Fellow, and British Computer Society (BCS) Fellow. His research interests include Machine Learning, Intelligent Visual Computing, Pattern Recognition, Data Mining, Watermarking, and Optimization. He has published over 250 articles in the high-quality conferences and journals, including TPAMI, TNNLS, TIFS, TIP, TKDE, TCYB, CVPR, IJCAI, and AAAI. He was ranked the World’s Top 1% Most-cited Scientists in the field of Artificial Intelligence and Image Processing by the statistical report of Stanford University in 2020 and 2021, respectively. His three co-authored papers are selected as ESI Highly Cited Papers (i.e. listed in Top 1% globally in the corresponding discipline). He has been granted one Chinese patent and two US patents. In particular, selected from 1000 new inventions and products of 700+ competition teams from 40 countries, he was awarded two most prestigious prizes: (1) the Gold Medal with Distinction (i.e. the highest grade in Gold Medals) and (2) Swiss Automobile Club Prize, in the 45th International Exhibition of Invention, Geneva, Switzerland, on March 29-April 2, 2017, in recognition of his innovative work. Also, he was the Gold Award Winner of Hong Kong Innovative Invention Award in the Seventh Hong Kong Innovative Technologies Achievement Award 2017. In addition, he won the Gold Medal with Congratulations of Jury (i.e. the highest grade in Gold Medals) at the 46th International Exhibition of Inventions of Geneva 2018. Prof. Cheung is the recipient of: (1) 2011 and 2021 Best Research Award in Department of Computer Science, HKBU, (2) Best Paper Awards in SEAL’2017, ISICA’2017, ICNC-FSKD’2014, and IEEE IWDVT’2005, respectively, (3) Best Student Paper Award in ISMIS’2018, (4) Best in Theoretical Paper Award in WI-IAT’2020, and (5) 2017 IETI Annual Scientific Award. Also, he is the recipient of 2017-2019 Albert Nelson Marquis Lifetime Achievement Award. He has been elected as an IEEE CIS Distinguished Lecturer, and the Changjiang Chair Professor awarded by Ministry of Education of China. He is the Founding Chairman of IEEE (Hong Kong) Computational Intelligence Chapter, and the Chair of Technical Community on Intelligent Informatics (TCII) of IEEE Computer Society. He has served in various capacities (e.g., Organizing Committee Chair, Program Committee Chair, Program Committee Area Chair, and Financial Chair) at several top-tier international conferences, including IJCAI’2021, ICPR’2020, ICDM’2017 & 2018, WCCI’2016, WI-IAT’2012, ICDM’2006 & WI-IAT’2006, to name a few. He is an Associate Editor for several prestigious journals, including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Transactions on Cognitive and Developmental Systems, Pattern Recognition, and Neurocomputing, as well as the Guest Editor in several international journals. Currently, he is an Engineering Panel member of Research Grants Council, Hong Kong, and a Fellow Committee member of IEEE Computational Intelligence Society.

Prof. Xianbin Wang, IEEE Fellow & Fellow of Canadian Academy of Engineering
Western University, Canada

Dr. Xianbin Wang (S’98-M’99-SM’06-F’17) is a Professor and Tier 1 Canada Research Chair at Western University, Canada. He received his Ph.D. degree in electrical and computer engineering from National University of Singapore in 2001.
Prior to joining Western, he was with Communications Research Centre Canada (CRC) as a Research Scientist/Senior Research Scientist between July 2002 and Dec. 2007. From Jan. 2001 to July 2002, he was a system designer at STMicroelectronics. His current research interests include 5G and beyond, Internet-of-Things, communications security, machine learning and intelligent communications. Dr. Wang has over 400 peer-reviewed journal and conference papers, in addition to 30 granted and pending patents and several standard contributions.
Dr. Wang is a Fellow of Canadian Academy of Engineering, a Fellow of IEEE and an IEEE Distinguished Lecturer. He has received many awards and recognitions, including Canada Research Chair, CRC President’s Excellence Award, Canadian Federal Government Public Service Award, Ontario Early Researcher Award and six IEEE Best Paper Awards. He currently serves as an Editor/Associate Editor for IEEE Transactions on Communications, IEEE Transactions on Broadcasting, and IEEE Transactions on Vehicular Technology and He was also an Associate Editor for IEEE Transactions on Wireless Communications between 2007 and 2011, and IEEE Wireless Communications Letters between 2011 and 2016. He was involved in many IEEE conferences including GLOBECOM, ICC, VTC, PIMRC, WCNC and CWIT, in different roles such as symposium chair, tutorial instructor, track chair, session chair and TPC co-chair. Dr. Wang is currently serving as a member of IEEE Fellow Committee.
王现斌，Xianbin Wang，教授，现为加拿大工程院院士、IEEE会士、加拿大一级国家教授。王教授团队多年来一直从事无线通信系统前沿理论设计、分析及应用领域的研究工作，最近专注于5G/6G通信理论、智能通信、物联网通信、机器学习、通信安全、定位技术、协同通信、异构融合、组网、边缘计算等关键技术的理论及标准化研究。相关研究成果近年来在国际权威期刊及会议上发表学术论文400多篇，其中期刊180多篇，会议220多篇，其中6篇论文还被IEEE授予最佳论文奖（Best Paper Awards）。基于理论创新的已授权国际发明专利30项，出版专著3部，技术报告28份，特邀演讲/受邀报告30余次，主持各类科研项目40余项。