Prof. Yiu-Ming Cheung is Chair Professor of Artificial Intelligence in the Department of Computer Science and Dean of the Institute for Research and Continuing Education at Hong Kong Baptist University. He is an elected member of the European Academy of Sciences and Arts and the European Academy of Engineering, as well as a Fellow of IEEE, AAAS, IAPR, IET, BCS, and the International Academy of Artificial Intelligence Sciences. His honors include the 2023–2024 RGC Senior Research Fellow Award, the HKBU President’s Award for Outstanding Performance in Scholarly Work, and the 2023 APNNS Outstanding Achievement Award. He was elected an IEEE Computational Intelligence Society Distinguished Lecturer in 2020 and was named a Changjiang Scholar Chair Professor by the Ministry of Education of China. Professor Cheung currently serves as Editor-in-Chief of IEEE Transactions on Emerging Topics in Computational Intelligence and serves or has served as an Associate Editor of leading journals including IEEE Transactions on Cognitive and Developmental Systems, ACM Transactions on Intelligent Systems and Technology, Pattern Recognition, and Neurocomputing. His research spans machine learning, visual computing, data science, pattern recognition, multiobjective optimization, and information security.

Prof. Min Jiang is a Professor in the Department of Artificial Intelligence, School of Informatics, Xiamen University, and has served as Associate Head of the Department of Artificial Intelligence since 2018. He became Editor-in-Chief of IEEE Computational Intelligence Magazine on January 1, 2026, after serving as an Associate Editor of the magazine from 2022 to 2025. He has also held Associate Editor positions with IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Cognitive and Developmental Systems, and currently serves as an Associate Editor of IEEE Transactions on Evolutionary Computation. Previously, he chaired the IEEE Computational Intelligence Society’s Intelligent Systems Applications Technical Committee. His research focuses on physics-inspired machine learning and learning-driven optimization, particularly their applications in scientific computing, engineering design, and industrial systems.

Prof. Huajin Tang is a Qiushi Distinguished Professor and doctoral supervisor at Zhejiang University, an IEEE Fellow, and a recipient of a national high-level talent award in 2021. He received his bachelor’s, master’s, and doctoral degrees from Zhejiang University, Shanghai Jiao Tong University, and the National University of Singapore, respectively. From 2004 to 2006, he worked as an R&D Engineer at STMicroelectronics. He subsequently conducted postdoctoral research at the Queensland Brain Institute, University of Queensland, from 2006 to 2008. From 2008 to 2015, he worked at the Institute for Infocomm Research, ASTAR, Singapore, where he directed the Cognitive Computing and Robotic Cognition Laboratory. Since 2014, he has served as Director of the Brain-Inspired Computing Research Center at Sichuan University. His research focuses on brain-inspired computing, neuromorphic computing and chips, and intelligent robotics. He has led major projects under China’s Science and Technology Innovation 2030 “New Generation Artificial Intelligence” initiative, the National Natural Science Foundation of China, and ASTAR Singapore. His work has been featured by MIT Technology Review, Communications of the ACM, and ScienceDaily, and has received several honors, including the 2016 IEEE Transactions on Neural Networks and Learning Systems Outstanding Paper Award, the 2019 IEEE Computational Intelligence Magazine Outstanding Paper Award, the 2023 Neural Networks Best Paper Award, the 2011 A*STAR Institute for Infocomm Research Role Model Award, and the 2024 APNNS Outstanding Achievement Award. He currently serves as Editor-in-Chief of IEEE Transactions on Cognitive and Developmental Systems.

Prof. Jun Wang is Chair Professor of Computational Intelligence with appointments in the Department of Computer Science and the Department of Data Science at City University of Hong Kong. Before taking up his current role, he held academic positions at Dalian University of Technology, Case Western Reserve University, the University of North Dakota, and The Chinese University of Hong Kong. Since 2025, he has served as Editor-in-Chief of IEEE Transactions on Artificial Intelligence, extending a long record of editorial and professional leadership in computational intelligence. His research interests include neural networks, computational intelligence, optimization, data processing, and intelligent control, particularly the development of neural and optimization methods for complex engineering and decision problems.

Prof. Dongrui Wu is a Professor and Deputy Director of the Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China. Prof. Wu's research interests include affective computing, brain-computer interface, computational intelligence, and machine learning. He has 150 publications (6,400+ Google Scholar citations; h=39), including a book "Perceptual Computing" (Wiley-IEEE Press, 2010), and five US/PCT patents. He received the IEEE International Conference on Fuzzy Systems Best Student Paper Award in 2005, the IEEE Computational Intelligence Society (CIS) Outstanding PhD Dissertation Award in 2012, the IEEE Transactions on Fuzzy Systems Outstanding Paper Award in 2014, the North American Fuzzy Information Processing Society (NAFIPS) Early Career Award in 2014, the IEEE Systems, Man and Cybernetics (SMC) Society Early Career Award in 2017, and the IEEE SMC Society Best Associate Editor Award in 2018. He was a finalist of the IEEE Transactions on Affective Computing Most Influential Paper Award in 2015, the IEEE Brain Initiative Best Paper Award in 2016, the 24th International Conference on Neural Information Processing Best Student Paper Award in 2017, the Hanxiang Early Career Award in 2018, and the USERN Prize in Formal Sciences in 2019. He was a selected participant of the Heidelberg Laureate Forum in 2013, the US National Academies Keck Futures Initiative (NAKFI) in 2015, and the US National Academy of Engineering German-American Frontiers of Engineering (GAFOE) in 2015. His team won the First Prize of the China Brain-Computer Interface Competition in 2019. Prof. Wu is an Associate Editor of the IEEE Transactions on Fuzzy Systems (2011-2018; 2020-), the IEEE Transactions on Human-Machine Systems (since 2014), the IEEE Computational Intelligence Magazine (since 2017), and the IEEE Transactions on Neural Systems and Rehabilitation Engineering (since 2019). He was the lead Guest Editor of the IEEE Computational Intelligence Magazine Special Issue on Computational Intelligence and Affective Computing, and the IEEE Transactions on Fuzzy Systems Special Issue on Brain Computer Interface. He is a Senior Member of the IEEE, a Board member and Distinguished Speaker of the NAFIPS, and a member of IEEE Systems, Man and Cybernetics Society Brain-Machine Interface Systems Technical Committee, IEEE CIS Fuzzy Systems Technical Committee, Emergent Technologies Technical Committee, and Intelligent Systems Applications Technical Committee. He has been Chair/Vice Chair of the IEEE CIS Affective Computing Task Force since 2012.

Gary G. Yen joined the College of Computer Science at Sichuan University as a full-time Chair Professor in 2025. Before this appointment, he was a Regents Professor of Electrical and Computer Engineering at Oklahoma State University. He received his Ph.D. in electrical and computer engineering from the University of Notre Dame in 1992. Within the IEEE Computational Intelligence Society, he served as Vice President for Technical Activities from 2005 to 2006, as the founding Editor-in-Chief of IEEE Computational Intelligence Magazine from 2006 to 2009, and as Society President from 2010 to 2011. He has also been selected as an IEEE CIS Distinguished Lecturer for 2026–2028. Professor Yen chaired the Society’s Awards Committee during 2008–2009, 2014–2015, and 2018–2019, and its Fellows Committee during 2016–2017, 2020–2021, and 2023. His honors include the 2009 OSU Regents Distinguished Research Award and the 2011 IEEE Systems, Man, and Cybernetics Society Andrew P. Sage Best Transactions Paper Award. He is a Fellow of IEEE, IET, and IAPR.