Chai Tianyou received the Ph.D. degree in control theory and engineering from Northeastern University, Shenyang, China, in 1985.
He has been with the Research Center of Automation, Northeastern University since 1985, where he became a Professor in 1988 and a Chair Professor in 2004. He is the founder and Director of the Research Center of Automation, which became a National Engineering and Technology Research Center in 1997 and The State Key Laboratory of Synthetical Automation for Process Industries in 2011. He has made a number of important contributions in control technologies and applications. He has published two monographs，130 peer reviewed international journal papers and around 224 international conference papers. He has been invited to deliver more than 30 plenary speeches in international conferences of IFAC and IEEE.  His  current research interests include adaptive control, intelligent decoupling control, integrated plant control and system, and the development of control technologies with applications to various industrial processes.
Prof. Chai is a member of Chinese Academy of Engineering, an academician of International Eurasian Academy of Sciences, IEEE Fellow and IFAC Fellow. He is a distinguished visiting fellow of The Royal Academy of Engineering (UK) and an invitation fellow of Japan Society for the Promotion of Science (JSPS). For his contributions, he has won three prestigious awards of National Science and Technology Progress, the 2002 Technological Science Progress Award from Ho Leung Ho Lee Foundation, the 2007 Industry Award for Excellence in Transitional Control Research from IEEE Control Systems Society and the 2010 Yang Jia-Chi Science and Technology Award from Chinese Association of Automation.

Wolfgang Maass holds a Phd (1974) and Habilitation (1978) in Mathematics from Ludwig-Maximilians-Universität in Munich. From 1979 to 1984, he conducted research at MIT, the University of Chicago, and UC Berkeley, as a Heisenberg Fellow of the Deutsche Forschungsgemeinschaft. He then joined the faculty of the University of Illinois in Chicago, where he served as an Associate Professor (1982-1986) and Full Professor (1986-1993). Since 1991, he has been Professor of Computer Science at the Graz University of Technology in Austria, where he became Head of the Institute für Grundlagen der Informationsverarbeitung (Institute for Theoretical Computer Science) in 1992. Maas was a Sloan Fellow at the Computational Neurobiology Lab of the Salk Institute in La Jolla, California in 1997-1998. He was a Visiting Professor at the Brain-Mind Institute at EPFL (2002-2003 and 2012). Since 2005, he has been an Adjunct Fellow of the Frankfurt Institute of Advanced Studies (FIAS). Maass was a Member of the Board of Governors of the International Neural Network Society (2008-2012), and has been a Member of the Academia Europaea since 2013. He has been the Editor of Machine Learning (1995-1997), Archive for Mathematical Logic (1987-2000), and Biological Cybernetics (2006-present). Maass has served on the editorial boards of Machine Learning (1998-2000), Neurocomputing (1994-2007), and Cognitive Neurodymamics (2006-present). He was Associate Editor of the Journal of Computer and System Sciences (1992-2014).

Prof Xin Yao is the Vice-President (Research and Innovation) and the Tong Tin Sun Chair Professor of Machine Learning at Lingnan University. Previously, he held academic positions at the Southern University of Science and Technology (China), the University of Birmingham (UK), Australian Defence Force Academy, University College, the University of New South Wales (Australia), and the University of Science and Technology of China (China). Prof Yao is an internationally renowned scholar in the field of artificial intelligence and his research work has received several awards, including the 2001 IEEE Donald G. Fink Prize Paper Award, the 2011 IEEE Transactions on Neural Networks and Learning Systems Outstanding Paper Award, and the 2010, 2016, and 2017 IEEE Transactions on Evolutionary Computation Outstanding Paper Awards. Prof Yao was elected as an IEEE Fellow in 2003. He won the Royal Society Wolfson Research Merit Award in 2012, the IEEE Computational Intelligence Society Evolutionary Computation Pioneer Award in 2013, and the prestigious IEEE Frank Rosenblatt Award in 2020. He served as the Editor-in-Chief of IEEE Transactions on Evolutionary Computation in 2003-08 and the President of the IEEE Computational Intelligence Society in 2014-15. He was listed in the World's Top 2% Scientists by Stanford University since 2021 and named Highly Cited Researcher in 2022 and 2023. According to Google Scholar, his research has been cited over 76,000 times by other scholars, with an H-index of 126.

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.

Prof. Cheung received the PhD degree from the Department of Computer Science and Engineering at the Chinese University of Hong Kong. Currently, he is a Chair Professor (Artificial Intelligence) of Department of Computer Science, and Dean of Institute for Research and Continuing Education (IRACE) in Hong Kong Baptist University (HKBU). Prof. Cheung is a Fellow of IEEE, AAAS, IAPR, IET, and BCS. He is the awardee of RGC Senior Research Fellow with receiving a fellowship grant of HK$7.8 million over a period of 60 months. Also, he is the recipient of HKBU President's Award 2023-2024 for outstanding performance in scholarly work, and 2023 APNNS Outstanding Achievement Award. He was elected as a Distinguished Lecturer of IEEE Computational Intelligence Society in 2020, and the Changjiang Scholar (Chair Professor) awarded by Ministry of Education of China. He is currently the Editor-in-Chief of IEEE Transactions on Emerging Topics in Computatitional Intelligence. Also, he is serving as an Associate Editor for IEEE Transactions on Cognitive and Developmental Systems, ACM Transactions on Intelligent Systems and Technology, Pattern Recognition, and Neurocomputing, just to name a few.

Guoqi Li obtained his PhD from Nanyang Technological University, Singapore, in 2011. From 2011 to 2014, he worked as a Scientist at the Data Storage Institute and the Institute of High Performance Computing, Agency for Science, Technology and Research, Singapore. From 2014 to 2022, he served as an Assistant Professor and later an Associate Professor at Tsinghua University, Beijing, China. Since 2022, he has been affiliated with the Institute of Automation, Chinese Academy of Sciences, and the University of Chinese Academy of Sciences, where he currently holds the position of Full Professor. His research focuses on Brain-inspired Intelligence, Neuromorphic Computing, and Spiking Neural Networks. He has authored or co-authored over 190 papers in prestigious journals such as Nature, Nature Communications, Science Robotics, Proceedings of the IEEE, as well as top AI conferences including ICLR, NeurIPS, ICML, AAAI, among others. His papers have been cited more than 8000 times according to Google Scholar. Dr. Li has actively contributed to various professional services, including serving as a Tutorial Chair, an International Technical Program Committee Member, a PC member, a Publication Chair, a Track Chair, and a workshop chair for several international conferences. He holds positions as an Editorial-Board Member for Control and Decision, and Associate Editor for IEEE Transactions on Neural Networks and Learning Systems, Neuromorphic Computing and Engineering, Frontiers in Neuroscience: Neuromorphic Engineering, and Journal of Control and Decision. Additionally, he has served as a Guest Editor for IEEE Transactions on Cognitive and Developmental Systems and Frontiers in Computational Neuroscience. Dr. Li also acts as a reviewer for Mathematical Reviews published by the American Mathematical Society and serves as a PC member for several top AI conferences, including ICLR, NeurIPS, ICML, AAAI, among others. He was the recipient of the Second Class Prize for Technological Invention by the Chinese Ministry of Education in 2022, the First Class Prize in Science and Technology from the Chinese Institute of Command and Control in 2018, and the Top Ten Scientific Advances Award in China selected by the Ministry of Science and Technology, P.R. China, where he was recognized as a backbone team member. He also received the 2020 Second Prize of the Fujian Provincial Science and Technology Progress Award. Dr. Li was honored with the Outstanding Young Talent Award from the Beijing Natural Science Foundation in 2021, and was selected to participate in the Hundred Talents Program of the Chinese Academy of Sciences in 2022. In 2023, Dr. Li was awarded the National Science Foundation for Distinguished Young Scholars of China.

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 currently serves as the Vice-President (Publications) of the IEEE Computational Intelligence Society, USA, from 2021 to 2024. He was the Editor-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. He has served as an organizing committee Chair/Co-Chair for over 50 international conferences, including the General Co-Chair of 2019 IEEE Congress on Evolutionary Computation, and the General Co-Chair of 2016 IEEE World Congress on Computational Intelligence, etc.Prof. Tan has received several research awards, such as the 2024 IEEE Computational Intelligence Magazine Outstanding Paper Awards, the 2020 IEEE Transactions on Cybernetics Outstanding Paper Awards, the 2019 IEEE Computational Intelligence Magazine Outstanding Paper Awards, the 2016 IEEE Transactions on Neural Networks and Learning Systems Outstanding Paper Awards, and the 2012 Outstanding Early Career Award presented by the IEEE Computational Intelligence Society.

Prof. Huajin Tang received the B.Eng. degree from Zhejiang University, China in 1998, received the M.Eng. degree from Shanghai Jiao Tong University, China in 2001, and received the Ph.D. degree from the National University of Singapore, in 2005. He was an R&D engineer with STMicroelectronics, Singapore from 2004 to 2006. From 2006 to 2008, he was a Post-Doctoral Fellow with the Queensland Brain Institute, University of Queensland, Australia. He was Head of the Robotic Cognition Lab at Institute for Infocomm Research, Singapore from 2008 to 2015. Since 2014 he is a Professor and Director of the Neuromorphic Computing Research Center, Sichuan University, China. He is currently a professor with Zhejiang University, China. His research interests include neuromorphic computing, neuromorphic hardware and cognitive systems, robotic cognition, etc. His research work on Brain GPS has been reported by MIT Technology Review in 2015. He received a number of prestigeious recogniions 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, 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 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 (2019-2024). He is the General Co-Chair of IEEE CIS-RAM 2024.

Prof. Cheung received the PhD degree from the Department of Computer Science and Engineering at the Chinese University of Hong Kong. Currently, he is a Chair Professor (Artificial Intelligence) of Department of Computer Science, and Dean of Institute for Research and Continuing Education (IRACE) in Hong Kong Baptist University (HKBU). Prof. Cheung is a Fellow of IEEE, AAAS, IAPR, IET, and BCS. He is the awardee of RGC Senior Research Fellow with receiving a fellowship grant of HK$7.8 million over a period of 60 months. Also, he is the recipient of HKBU President's Award 2023-2024 for outstanding performance in scholarly work, and 2023 APNNS Outstanding Achievement Award. He was elected as a Distinguished Lecturer of IEEE Computational Intelligence Society in 2020, and the Changjiang Scholar (Chair Professor) awarded by Ministry of Education of China. He is currently the Editor-in-Chief of IEEE Transactions on Emerging Topics in Computatitional Intelligence. Also, he is serving as an Associate Editor for IEEE Transactions on Cognitive and Developmental Systems, ACM Transactions on Intelligent Systems and Technology, Pattern Recognition, and Neurocomputing, just to name a few.

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 Editor-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 received the B.Eng. degree from Zhejiang University, China in 1998, received the M.Eng. degree from Shanghai Jiao Tong University, China in 2001, and received the Ph.D. degree from the National University of Singapore, in 2005. He was an R&D engineer with STMicroelectronics, Singapore from 2004 to 2006. From 2006 to 2008, he was a Post-Doctoral Fellow with the Queensland Brain Institute, University of Queensland, Australia. He was Head of the Robotic Cognition Lab at Institute for Infocomm Research, Singapore from 2008 to 2015. Since 2014 he is a Professor and Director of the Neuromorphic Computing Research Center, Sichuan University, China. He is currently a professor with Zhejiang University, China. His research interests include neuromorphic computing, neuromorphic hardware and cognitive systems, robotic cognition, etc. His research work on Brain GPS has been reported by MIT Technology Review in 2015. He received a number of prestigeious recogniions 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, 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 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 (2019-2024). He is the General Co-Chair of IEEE CIS-RAM 2024.

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 B.E in Automatic Control from the University of Science and Technology of China, Hefei, China, in 2003, an M.Eng in Electrical and Computer Engineering from the National University of Singapore in 2006, and a PhD in Electrical Engineering from the University of Southern California, Los Angeles, CA, in 2009. He is now 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 brain-computer interface, machine learning, computational intelligence, and affective computing. He has more than 200 publications (11000+ Google Scholar citations; h=55). He received the IEEE Computational Intelligence Society (CIS) Outstanding PhD Dissertation Award in 2012, the IEEE Transactions on Fuzzy Systems Outstanding Paper Award in 2014, the IEEE Systems, Man and Cybernetics (SMC) Society Early Career Award in 2017, the USERN Prize in Formal Sciences in 2020, the IEEE Transactions on Neural Systems and Rehabilitation Engineering Best Paper Award in 2021, the Chinese Association of Automation Early Career Award in 2021, and the Ministry of Education Young Scientist Award in 2022. His team won the First Prize of the China Brain-Computer Interface Competition in four successive years (2019-2022). Prof. Wu is the Editor-in-Chief of IEEE Transactions on Fuzzy Systems.

梁静，1981年6月出生，河南兰考人。郑州大学电气工程学院院长、教授、博士生导师，国家自然科学基金优秀青年基金获得者，河南省优化与智能控制技术工程研究中心主任，第三届河南省青年科技工作者协会会长，国际SCI一区期刊IEEE Transaction on Evolutionary Computation和Swarm and Evolutionary Computation的Associate Editor，第六届中国科技工作者协会委员，河南省侨联青年委员会副会长，河南欧美同学会理事。 梁静教授长期从事群体智能优化算法设计及其应用方面的教学与科学研究，是进化计算领域的专家。她先后主持国家自然科学基金优秀青年基金项目、国家自然科学基金面上项目、国家自然科学基金青年项目、国家博士后特别资助项目、河南省教育厅创新人才等项目。发表学术论文130余篇，Google Citation被引用总次数11760次，h指数为36，获国家发明专利2项、授权软件著作权5项。科研成果先后获得教育部自然科学二等奖，河南省科学进步二等奖，河南省教育厅科技成果一等奖等奖项。梁静教授还获得国际学术组织和河南省颁发的一系列奖励和荣誉称号，如2014 IEEE CIS Outstanding PhD Dissertation Award获得者、河南省高层次人才、河南省青年五四奖章、河南省青年科技奖、中原.....计划-中原青年拔尖人才等。

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.