Yiu-ming Cheung is currently a Chair Professor (Artificial Intelligence) of the Department of Computer Science, Dean of Institute for Research and Continuing Education (IRACE), and Associate Director of Institute of Computational and Theoretical Studies in Hong Kong Baptist University (HKBU). He received PhD degree from Department of Computer Science and Engineering at The Chinese University of Hong Kong in 2000, and then joined the Department of Computer Science at HKBU in 2001. He is a member of European Academy of Sciences and Arts, and an IEEE Fellow, AAAS Fellow, IAPR Fellow, IET Fellow, and British Computer Society (BCS) Fellow. He is the recipient of 2023-2024 RGC Senior Research Fellow Award. Since 2019, he has been ranked the World’s Top 1% Most-cited Scientists in the field of Artificial Intelligence and Image Processing by Stanford University for six consecutive years. He was elected as a Distinguished Lecturer of IEEE Computational Intelligence Society in 2020, and named a Chair Professor of Changjiang Scholars Program by the Ministry of Education of the People’s Republic of China for the dedication and exceptional achievements in his academic career. Also, he is the Editor-in-Chief of IEEE Transactions on Emerging Topics in Computational Intelligence.

Website: https://www.comp.hkbu.edu.hk/~ymc/

Carlos Artemio Coello Coello received the Ph.D. degree in computer science from Tulane University, New Orleans, LA, USA, in 1996.,He is a Professor (CINVESTAV-3F Researcher) with the Department of Computer Science, CINVESTAV-IPN, Mexico City, México. He has authored and coauthored over 450 technical papers and book chapters. He has also coauthored the book entitled Evolutionary Algorithms for Solving Multi-Objective Problems (Second Edition, Springer, 2007). His publications currently report over 48 900 Google Scholar citations with an H-index of 80. His research interests include evolutionary multiobjective optimization and constraint-handling techniques for evolutionary algorithms.,Prof. Coello Coello is a recipient of the 2007 National Research Award from the Mexican Academy of Sciences in the area of Exact Sciences, the 2013 IEEE Kiyo Tomiyasu Award, and the 2012 National Medal of Science and Arts in the area of Physical, Mathematical and Natural Sciences. He is a member of the Association for Computing Machinery and the Mexican Academy of Science.

Website: https://delta.cs.cinvestav.mx/~ccoello/

Jon Garibaldi is currently the Provost of the University of Nottingham Ningbo China, and a member of the University of Nottingham Executive Board (UEB). He is the Head of the Intelligent Modelling and Analysis (IMA) Research Group and was a Founding Director (together with Prof. Richard Emes) of the Advanced Data Analysis Centre (ADAC). He obtained a BSc (Hons) in Physics from University of Bristol in 1984, an MSc in Intelligent Systems from University of Plymouth in 1991, and a PhD in Intelligent Techniques for Handling Uncertainty in the Assessment of Neonatal Outcome from University of Plymouth in 1997. He was the Head of School of Computer Science from 2016-2023. After joining the School in 2002, He became a full Professor in 2012, and held a variety of administrative roles including Admissions Tutor, Director of Teaching and then Head of School. He is a Fellow of the IEEE; He was the Editor-in-Chief of IEEE Transactions on Fuzzy Systems, the leading international journal in my main research field, from Jan 2017 to Dec 2022.

Website: https://people.cs.nott.ac.uk/pszjmg

Yaochu Jin obtained the BSc., MSc. and PhD degree all in automatic control from the Electrical Engineering Department, Zhejiang University, China, in 1988, 1991, and 1996, respectively, and the Dr.-Ing. from the Institute of Neuroinformatics, Ruhr-University Bochum, Germany in 2001. He is currently a Chair Professor of Artificial Intelligence with the School of Engineering, Westlake University. Before joining Westlake University, he was an Alexander von Humboldt Professor for Artificial Intelligence endowed by the German Federal Ministry of Education and Research, Bielefeld University, Germany from 2021 to 2023, and a Surrey Distinguished Chair Professor in Computational Intelligence, University of Surrey, Guildford, U.K., from 2010 to 2021. He was a “Finland Distinguished Professor” of University of Jyväskylä, Finland, and “Changjiang Distinguished Visiting Professor”, Northeastern University, China from 2015 to 2017. He is a Member of Academia Europaea and Fellow of IEEE.

Website: https://en.westlake.edu.cn/faculty/yaochu-jin.html

Yongduan Song received his Ph.D. degree in electrical and computer engineering from Tennessee Technological University, Cookeville, TN, USA, in 1992. He held a tenured full professor position with North Carolina Agricultural and Technical State University, Greensboro, NC, USA, from 1996 to 2008, and a Langley Distinguished Professor position with the National Institute of Aerospace, Hampton, VA, USA, from 2005 to 2008. He was one of the six Langley Distinguished Professors with the National Institute of Aerospace (NIA), and the Founding Director of the Center for Cooperative Systems with NIA. He is currently the Dean of the School of Automation, Chongqing University, Chongqing, China, and the Founding Director of the Institute of Smart Engineering, Chongqing University. Dr. Song is a leading researcher in neural networks (NN) based adaptive control, significantly contributing to both NN theory methods and engineering applications. He is very active as associate editors for top IEEE journals, including IEEE Trans. on Neural Networks, IEEE Trans. on Automatic Control, IEEE Trans. Systems, Man, and Cybernetics, IEEE Trans. on Intelligent Transportation Systems, IEEE Trans. on Cognitive and Developmental Systems. As a scientific leader in the field of systems and control, he has been serving on various national and international technical committees. Prof. Song has made original contributions in neural network adaptive control of nonlinear systems with real world applications, which can be assessed by his publications (over 200 papers) in prestigious international journals, including IEEE T-NNLS, IEEE T-FS, IEEE T-SMC, IEEE T-Cybernetics, IEEE T-AC, IEEE T-IE and Automatica. He authored/co-authored 11 books in the field of control and artificial intelligence. He also held over 50 patents, and has given numerous keynote speeches and invited talks, chaired several conferences.

Website: https://accu.cqu.edu.cn/info/1112/3673.htm

Prof. Huajin Tang is currently a professor with Zhejiang University, College of Computer Science and Technology, and The State Key Lab for Brain-Machine Intelligence, China. His research interests include neuromorphic computing, neuromorphic hardware and cognitive systems, robotic cognition, etc. He received a number of prestigious recognions and awards, such as 2011 Role Model Award of Institute for Infocomm Research Singapore, 2016 IEEE Transactions on Neural Networks and Learning Systems Outstanding Paper Award, 2019 IEEE Computational Intelligence Magazine Outstanding Paper Award, 2023 Neural Networks Best Paper Award, and 2024 APNNS Outstanding Achievement Award, etc. Prof. Tang is the Editor-in-Chief of IEEE Transactions on Cognitive and Developmental Systems since 2022. Prof. Tang has served as an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cognitive and Developmental Systems and Frontiers in Neuromorphic Engineering, Neural Networks, and Editorial Board Member for Frontiers in Robotics and AI. He was the General Co-Chair of IEEE CIS-RAM 2024, Program Chair of IEEE CIS-RAM (2015, 2017), and Chair of IEEE Symposium on Neuromorphic Cognitive Computing (2016-2020), and International Symposium on Neural Networks (2019). He is a Board of Governor member of International Neural Network Society since 2019.

Website: https://person.zju.edu.cn/en/0018196

Jun Wang is a Chair Professor of Computational Intelligence in the Department of Computer Science and Department of Data Science at City University of Hong Kong. Prior to this position, he held various academic positions at Dalian University of Technology, Case Western Reserve University, University of North Dakota, and Chinese University of Hong Kong. He also held various part-time visiting positions at US Air Force Armstrong Laboratory, RIKEN Brain Science Institute, Huazhong University of Science and Technology, Dalian University of Technology, and Shanghai Jiao Tong University. He received a B.S. degree in electrical engineering and an M.S. degree in systems engineering from Dalian University of Technology, Dalian, China. He received his Ph.D. degree in systems engineering from Case Western Reserve University, Cleveland, Ohio, USA. His current research interests include neural networks and their applications. He published about 330 journal papers, 16 book chapters, 11 edited books, and numerous conference papers in these areas. He has served on the editorial boards of many journals in different capacities, such as the IEEE Transactions on Artificial Intelligence; IEEE Transactions on Cybernetics; IEEE Transactions on Neural Networks; IEEE Transactions on Systems, Man, and Cybernetics–Part C; International Journal of Neural Systems; and Neural Networks. He was also a guest editor of special issues in the European Journal of Operational Research; IEEE Transactions on Systems, Man and Cybernetics: Systems; International Journal of Neural Systems; Neurocomputing; International Journal of Fuzzy Systems; and Journal of the Franklin Institute. He was an organizer of several international conferences. He was a distinguished lecturer of the IEEE Computational Intelligence Society and IEEE Systems, Man and Cybernetics Society. In addition, he served as President of the Asia Pacific Neural Network Assembly and many organizations such as the IEEE Fellow Committee; IEEE Computational Intelligence Society Awards Committee, IEEE Systems, Man, and Cybernetics Society Board of Governors and Awards Committee. He is a life fellow of the IEEE, a fellow of the International Association for Pattern Recognition and Hong Kong Academy of Engineering, and a foreign member of Academia Europaea.

Website: https://scholars.cityu.edu.hk/en/persons/jwang358

Dongrui Wu (IEEE Fellow) received a PhD in Electrical Engineering from the University of Southern California, Los Angeles, CA, in 2009. He is now Professor and Vice Dean of School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China. Prof. Wu's research interests include brain-computer interface, machine learning, computational intelligence, and affective computing. He has more than 200 publications (16000+ Google Scholar citations; h=67). He received the IEEE Computational Intelligence Society Outstanding PhD Dissertation Award in 2012, the IEEE Transactions on Fuzzy Systems Outstanding Paper Award in 2014, the IEEE Systems, Man and Cybernetics Society Early Career Award in 2017, the Chinese Association of Automation (CAA) Early Career Award in 2021, the Ministry of Education Young Scientist Award in 2022, and First Prize of the CAA Natural Science Award in 2023. His team won National Championships of the China Brain-Computer Interface Competition in six successive years (2019-2024). Prof. Wu is the Editor-in-Chief of IEEE Transactions on Fuzzy Systems.