Tianyou Chai received the Ph.D. degree in control theory and engineering in 1985 from Northeastern University, Shenyang, China, where he became a Professor in 1988. He is the founder and Director of the Center of Automation, which became a National Engineering and Technology Research Center and a State Key Laboratory. He is a member of Chinese Academy of Engineering, IFAC Fellow and IEEE Fellow. He has served as director of Department of Information Science of National Natural Science Foundation of China from 2010 to 2018.
He has published 397 peer reviewed international journal papers，including 273 IEEE&IFAC papers. His paper titled Hybrid intelligent control for optimal operation of shaft furnace roasting process was selected as one of three best papers for the Control Engineering Practice Paper Prize for 2011-2013. He has developed control technologies with applications to various industrial processes. For his contributions, he has won 5 prestigious awards of National Natural Science, National Science and Technology Progress and National Technological Innovation, the 2007 Industry Award for Excellence in Transitional Control Research from IEEE Multiple-conference on Systems and Control, and the 2017 Wook Hyun Kwon Education Award from Asian Control Association.

Xin Yao is the Vice President (Research and Innovation) and the Tong Tin Sun Chair Professor of Machine Learning at Lingnan University, Hong Kong SAR. He is an IEEE Fellow and was a Distinguished Lecturer of the IEEE Computational Intelligence Society (CIS). He served as the President (2014-15) of IEEE CIS and the Editors-in-Chief (2003-08) of IEEE Transactions on Evolutionary Computation. His major research interests include evolutionary computation, neural network ensembles, and multi-objective learning. His recent interests include online learning, class imbalance learning and trustworthy artificial intelligence. His work won the 2001 IEEE Donald G. Fink Prize Paper Award; 2010, 2016 and 2017 IEEE Transactions on Evolutionary Computation Outstanding Paper Awards; 2011 IEEE Transactions on Neural Networks Outstanding Paper Award; 2010 BT Gordon Radley Award for Best Author of Innovation (Finalist); and many other best paper awards at conferences. He received the 2012 Royal Society Wolfson Research Merit Award, the 2013 IEEE CIS Evolutionary Computation Pioneer Award, and the 2020 IEEE Frank Rosenblatt Award.

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.

Dr Dacheng Tao is currently a Distinguished University Professor in the College of Computing & Data Science at Nanyang Technological University. He mainly applies statistics and mathematics to artificial intelligence and data science, and his research is detailed in one monograph and over 200 publications in prestigious journals and proceedings at leading conferences, with best paper awards, best student paper awards, and test-of-time awards. His publications have been cited over 112K times and he has an h-index 160+ in Google Scholar. He received the 2015 and 2020 Australian Eureka Prize, the 2018 IEEE ICDM Research Contributions Award, and the 2021 IEEE Computer Society McCluskey Technical Achievement Award. He is a Fellow of the Australian Academy of Science, AAAS, ACM and IEEE.

Dr. Feng Xia is a Professor of Data Science & AI at RMIT University, Melbourne, Australia. He is/was Associate/Guest Editor of over 20 journals (e.g., TIST, TKDD, TOMM, TAI, TNNLS, TCSS, TITS, TETC, and TII). He has served as the General Chair, PC Chair, Area Chair, Workshop Chair, or Publicity Chair of over 30 conferences, and (Senior) PC Member of over 100 conferences (e.g., IJCAI, AAAI, ICLR, KDD, WWW/TheWebConf, and NetSci). Dr. Xia has authored/co-authored over 300 scientific papers in journals and conferences (such as IEEE TAI, TKDE, TNNLS, TC, TMC, TBD, TCSS, TNSE, TETCI, TETC, THMS, TVT, TITS, ACM TKDD, TIST, TWEB, TOMM; IJCAI, AAAI, NeurIPS, ICLR, KDD, WWW, MM, SIGIR, EMNLP, and INFOCOM). He was recognized as a Highly Cited Researcher (2019). Dr. Xia received a number of prestigious awards, including e.g. IEEE Transactions on Neural Networks and Learning Systems Outstanding Associate Editor of 2023-2024, IEEE Vehicular Technology Society 2020 Best Land Transportation Paper Award, ACM/IEEE JCDL 2020 The Vannevar Bush Best Paper Honorable Mention, and WWW 2017 Best Demo Award. He has been invited as Keynote Speaker at several international conferences, and delivered a number of Invited Talks at international conferences and many universities worldwide. He is Vice-Chair of IEEE Task Force on Learning for Graphs. His research interests include artificial intelligence, graph learning, brain, robotics, and cyber-physical systems. He is a Senior Member of IEEE and ACM, and an ACM Distinguished Speaker.

Guoqi Li is currently a Professor in the Institute of Automation, Chinese Academy of Sciences (CASIA). He serves as the Deputy Director of the National Key Laboratory of Brain Cognition and Brain-inspired Intelligence and the Director of the Beijing Key Laboratory of General Brain-inspired Intelligence Large Models. He is a recipient of the National Science Fund for Distinguished Young Scholars. With over 200 publications in journals including Nature, Nature sister journals, Science family journals, and top-tier AI conferences, his work has garnered more than 17,000 citations. He has led over 30 major research projects, including Key Projects of the National Natural Science Foundation of China, Joint Key Projects, and Key R&D Programs of the Ministry of Science and Technology. He holds editorial board positions at IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Cognitive and Developmental Systems (TCDS), and the Journal of Tsinghua University (Science and Technology). His honors include the First Prize in Natural Science Award of the Chinese Association of Automation (CAA), ECCV Best Paper Award Nomination, Best Paper Award at the China Computing Conference, Beijing Distinguished Young Scholar, CAS Hundred Talents Program, DeepTech China Innovator in Intelligent Computing Technology and China Computing Youth Pioneer Award.

Kay Chen Tan is currently the Head and Chair Professor (Computational Intelligence) of the Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University. He has co-authored eight books and published over 300 peer-reviewed journal articles. Prof. Tan served as the Vice-President (Publications) of the IEEE Computational Intelligence Society, USA, from 2021 to 2024. He was the Editors-in-Chief of IEEE Transactions on Evolutionary Computation from 2015-2020 and IEEE Computational Intelligence Magazine from 2010-2013. Prof. Tan has been invited as a Plenary/Keynote speaker for over 80 international conferences, such as the 2020 IEEE World Congress on Computational Intelligence. Prof. Tan is an IEEE Fellow and currently serves as the Chief Co-Editor of the Springer Book Series on Machine Learning: Foundations, Methodologies, and Applications.

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 Editors-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.

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 Editors-in-Chief of IEEE Transactions on Fuzzy Systems.

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.

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 Editors-in-Chief of IEEE Transactions on Fuzzy Systems, the leading international journal in my main research field, from Jan 2017 to Dec 2022.

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.

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.

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 Editors-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.

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.

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 Editors-in-Chief of IEEE Transactions on Fuzzy Systems.

Jing Liang received the B.E. degree from the Harbin Institute of Technology, Harbin, China, in 2003, and the Ph.D. degree from Nanyang Technological University, Singapore, in 2009. She is currently a Professor with the School of Electrical Engineering, Zhengzhou University, Zhengzhou, China. Her main research interests are evolutionary computation, swarm intelligence, multiobjective optimization, and neural network. Dr. Liang serves as an Associate Editor for IEEE Transactions on Evolutionary Computation and Swarm and Evolutionary Computation.

Yu Qi is a tenure-track professor and doctoral supervisor at the Frontier Science Center for Brain and Brain-Computer Fusion, Zhejiang University. She was graduated from the School of Computer Science and Technology, Zhejiang University, with a Ph.D. in Engineering, and visited the University of Florida as a visiting student. The main research directions include brain-computer interface, artificial intelligence, and brain-like computing. She has proposed a series of innovative methods and systems for the dynamic modeling of brain information. In 2015, she established a prototype system for epilepsy warning-suppression diagnosis and treatment. In 2019, she completed the first domestic clinical volunteer invasive brain-computer interface research as a key member. She has published more than 30 high-level academic papers and undertaken a number of national-level projects. She is the young editor of Cyborg and Bionic Systems, the editor of Frontiers in Neuroscience, the program committee member of top artificial intelligence conferences NeurIPS, IJCAI, and ICML, and the reviewer of top journals such as TNNLS, TBME, and TNSRE.

Chao Qian received B.Sc. and Ph.D. degrees in the Department of Computer Science and Technology from Nanjing University in 2009 and 2015, respectively, under the supervision of Prof. Zhi-Hua Zhou. After finishing PhD, he became an associate researcher in the School of Computer Science and Technology, University of Science and Technology of China, until 2019, when he returned to Nanjing University as an associate professor in the School of Artificial Intelligence. In 2024, he became a full professor. He visited the University of the Basque Country (Spain) and the University of Birmingham (UK). He is also a member of LAMDA Group.

Dr. Yujie Wu is an Assistant Professor at The Hong Kong Polytechnic University (PolyU). Prior to this, he was a postdoctoral researcher collaborating with Prof. Wolfgang Maass, a pioneer in brain-inspired computing, at Graz University of Technology (2021–2024). He received his Ph.D. from Tsinghua University under the supervision of Prof. Luping Shi and Prof. Jun Zhu (2016-2021). His recent works have been published in prestigious journals and top AI conferences, including Nature, Science Robotics, Nature Computational Science, Nature Communications, TNNLs and AAAI. He is featured as the World's Top 2% Scientists by Stanford University and three of his publications have been selected as ESI Top 1% Highly Cited Papers. The Tianjic chip project he participated in was recognized as one of the Top 10 Sci-tech Achievements in China in 2019.

Full Professor (tenured), IAPR/IET/AAIA Fellow
Founding Program Director of Zhiyuan AI Elite Class
Founding Assistant Director of MoE Key Lab of AI
Founding Assistant Director of SJTU School of AI
Area Chair for ICLR/ICML/NeurIPS/SIGKDD etc.
Associate Editor for TPAMI/TOPML/PRJ
Reviewer for Nature Comm./PNAS Nexus etc.

Ran Cheng is currently an Associate Professor (Presidential Young Scholar) with the Department of Data Science & Artificial Intelligence and Department of Computing at The Hong Kong Polytechnic University (PolyU). Previously, he was an Associate Professor with the Department of Computer Science and Engineering at Southern University of Science and Technology (SUSTech). He received the BSc degree from Northeastern University (China) in 2010 and the PhD degree from the University of Surrey (UK) in 2016. Between 2010 and 2012, he spent a cherished period at Zhejiang University as a postgraduate student. His research philosophy is centered on benefiting humanity by bridging nature and technology. Within the broad domain of Artificial Intelligence (AI), my research focuses on advancing Computational Intelligence (CI) to tackle modeling and optimization challenges in complex systems. Ran Cheng primary research interests include Evolutionary Computation and Representation Learning, with an emphasis on developing efficient and scalable computational methods leveraging modern hardware acceleration. As a representative effort, he initiated the EvoX project, aiming at bridging traditional EC methodologies with advanced GPU computing infrastructures. He is the founding chair of IEEE Computational Intelligence Society (CIS) Shenzhen Chapter. He is serving as an Associate Editor/Editorial Board Member for several journals, including: ACM Transactions on Evolutionary Learning and Optimization, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Artificial Intelligence, etc. He is the recipient of the IEEE Transactions on Evolutionary Computation Outstanding Paper Awards (2018, 2021), the IEEE CIS Outstanding PhD Dissertation Award (2019), the IEEE Computational Intelligence Magazine Outstanding Paper Award (2020), and the IEEE CIS Outstanding Early Career Award (2025). He has been featured among the World’s Top 2% Scientists (2020–2024) and the Clarivate Highly Cited Researchers (2023, 2024). He is a Senior Member of IEEE.