Professor Han is currently the Deputy Vice-Chancellor and Distinguished Professor at Swinburne University of Technology, Melbourne, Australia. He previously held various academic and administrative positions at Griffith University and Central Queensland University, Australia. He is a Highly Cited Researcher (Clarivate) in the field of Engineering and Computer Science. He has served as a member of the IEEE Industrial Electronics Society (IES) Membership Committee and a member of the IEEE IES Fellow Committee. His research interests include networked control systems, multi-agent systems, time-delay systems, smart grids, unmanned ground/aerial vehicles, and neural networks.

Professor Han was the recipient of the 2024 IEEE Dr.-Ing. Eugene Mittelmann Achievement Award (the highest honor in industrial electronics), the 2021 Norbert Wiener Award (the highest award in systems science and engineering and cybernetics), and the 2021 M. A. Sargent Medal (the highest honor of the Electrical College Board of Engineers Australia). He received the IEEE Systems, Man, and Cybernetics Society Andrew P. Sage Best Transactions Paper Award in 2019, 2020, and 2022, the IEEE/CAA Journal of Automatica Sinica Norbert Wiener Review Award in 2020, and the IEEE Transactions on Industrial Informatics Outstanding Paper Award in 2020.

Dr. Zidong Wang is a Professor of Dynamics Systems and Computing at the Department of Computer Science, Brunel University London, UK. He is a Fellow of the IEEE, a Fellow of the Royal Statistical Society, and a Member of the Academia Europaea (The Academy of Europe) and the European Academy of Sciences and Arts. He received the Alexander von Humboldt Research Fellowship in 1996, the JSPS Research Fellowship in 1998, and the William Mong Visiting Research Fellowship from the University of Hong Kong in 2002.

He has been engaged in research for many years in intelligent data analysis (deep learning, evolutionary computing, bioinformatics), control theory (stochastic control, robust control, nonlinear control, model reduction), and signal processing. He has published over 700 international papers in SCI journals and authored 20 English research monographs. In 2012, he was selected by Thomson Reuters as a "Hottest Scientist" in the direction of big data analysis. He has been continuously selected by Clarivate as a Highly Cited Researcher in both Computer Science and Engineering for many years, ranking first in the field of Electronic and Electrical Engineering in the UK for his h-index (currently 138). He received the Second Prize of the National Natural Science Award of China in 2014 (ranking second), and the inaugural Academic Research Impact Award from Brunel University London in June 2020.

Dr. Armando Walter Colombo is a Professor at the University of Applied Sciences Emden/Leer, Germany, and has been the Director of the Institute for Industrial Informatics, Automation and Robotics (I2AR) since 2012. He has served as the Director of Collaborative Innovation Project Management and as a Senior Expert - Edison Level 2 within the Industrial Business Unit of Schneider Electric. He is listed in "Who's Who in the World" / Engineering 99-00/01 and the International Biographical Centre Cambridge's "Outstanding People of the 20th Century". Professor Colombo has held leadership positions in numerous international research and innovation projects related to industrial informatics. His research interests include Industrial Cyber-Physical Systems, industrial digitalization and systems engineering, the Internet of Services, and solutions compliant with Industry 4.0 standards.

Professor Colombo holds more than 30 industrial patents and has published over 300 peer-reviewed papers in journals, books, book chapters, and conference proceedings. Through his contributions, he has made pioneering scientific and technological contributions that are now considered among the foundations of the "Fourth Industrial Revolution". He is a member of the IEEE IES Administrative Committee (AdCom), a member of the Fellow Committees of IEEE IES, IEEE SMS, and IEEE CS, and the IES representative to the IEEE Systems Council. He is a co-founder of three IEEE Technical Committees: Industrial Agents, (ii) Industrial Informatics, and (iii) Industrial Cyber-Physical Systems.

Professor Akshay Kumar Rathore is an expert in power electronics and motor drive control, currently a Professor in the Department of Electrical and Computer Engineering at the National University of Singapore (NUS). Previously, he served as a Professor and held several administrative positions at Concordia University in Montreal and Singapore Polytechnic.

He has received numerous international awards, including the IEEE IAS Andrew W. Smith Outstanding Young Member Award (2013), the IEEJ Isao Takahashi Power Electronics Award (2014), the IEEE IES David Irwin Early Career Award (2017), and the IIT (BHU) Distinguished Alumnus Award (2023). He has published approximately 300 research papers, including 110 in IEEE Transactions, holds several patents, and has significant impact in areas such as multilevel inverters and snubberless current-fed DC-DC converters. Professor Rathore currently serves as the Co-Editor-in-Chief of the IEEE Transactions on Industrial Electronics and is a member of various awards and review committees. He is a member of the IEEE Nikola Tesla Award Committee, the IEEE Power Engineering Medal Committee, and a Distinguished Lecturer of the IEEE Power Electronics Society. He has previously served as an Associate Editor for several IEEE technical committees and journals.

Jiande Wu is a Professor at Yunnan University, selected for the National High-level Talent Support Program, a Yunnan Scholar, and a Leading Talent in Industrial Technology of Yunnan Province. He concurrently serves as the Director of the China Nonferrous Metals Industry Intelligent Systems and Advanced Control Engineering Technology Research Center, and the Deputy Director of the Automation Academic Committee of the China Nonferrous Metals Society. His research focuses on industrial process detection and intelligent control, industrial big data analysis and modeling, and industrial equipment health assurance. He has led more than 20 projects, including key projects of the National Natural Science Foundation of China Regional Joint Fund and major science and technology projects of Yunnan Province. He has published over 70 papers in journals such as IEEE Transactions and holds more than 40 authorized patents. His research achievements have been honored with the Second Prize of the National Science and Technology Progress Award, the First Prize of the Yunnan Provincial Science and Technology Progress Award, the First Prize of the Yunnan Provincial Natural Science Award, and the First Prize of the Chinese Association of Automation Natural Science Award, among others.

Hongtao Xie is a Professor and Doctoral Supervisor at USTC, a National High-level Talent, an IET Fellow, an Outstanding Member of the Youth Innovation Promotion Association of the Chinese Academy of Sciences (CAS), and a member of the CAS Cybersecurity Expert Group.

He conducts research in artificial intelligence and multimedia content security, including visual content recognition and reasoning, cross-modal recognition of scene text images, cross-modal content analysis and understanding, and intelligent content generation and security. As the first or corresponding author, he has published over 100 academic papers in leading international journals and conferences such as IEEE-TPAMI, NIPS, ICCV, and CVPR. He received the Second Prize of the National Technological Invention Award in 2023, the Second Prize of the National Natural Science Award in 2019, the First Prize of the Ministry of Education Technological Invention Award in 2022, the Excellence Award of the China Patent Award in 2021, the First Prize of the Chinese Institute of Electronics Natural Science Award in 2018, and the Young Scientist Award from the China Society of Image and Graphics in 2022. He serves on the editorial board of four renowned international journals including ACM TOMM, has served as Area Chair/Senior PC for CCF-A class conferences more than 10 times, and is an Outstanding Member of the CAS Youth Innovation Promotion Association and a member of the CAS Cybersecurity Expert Group.

Bin He is a Tenured Professor at the College of Electronics and Information Engineering, Tongji University. He is the Chief Scientist for the National AI 2030 Major Project, a National High-level Talent, the Executive Director of the Shanghai Research Institute for Intelligent Autonomous Systems, and the Deputy Director of the State Key Laboratory of Intelligent Autonomous Systems.

His main research directions include intelligent robotics, intelligent perception, intelligent detection, unmanned systems, and digital twins. In recent years, he has published over 100 papers in important domestic and international academic journals such as IEEE/ACM Transactions, and has been granted more than 50 invention patents. As the first completer, he received one Second Prize of the National Science and Technology Progress Award. As a main completer, he received four other first and second prizes at the provincial and ministerial level. He was selected for the Ministry of Education's New Century Talents Program and has received honorary titles such as the Shanghai Youth Science and Technology Outstanding Contribution Award, Shanghai Excellent Technical Leader, and Shanghai Youth Science and Technology Talent. He currently serves as the Deputy Director of the Unmanned Systems Branch of the Chinese Institute of Command and Control, the Deputy Director of the Construction Robot Branch of the Chinese Association of Automation, a member of the Ministry of Industry and Information Technology Humanoid Robot Expert Group, a member of the 8th Science and Technology Committee of the Ministry of Education, the Chief Scientist for the AI 2030 Major Project, and an Associate Editor for the SCI journal Robotics Intelligence and Automation.

Professor Bogen Cai is the Dean of the School of Automation and Intelligence at Beijing Jiaotong University. He primarily conducts research on the application of GPS and GIS technology in transportation, application of information fusion theory, inertial navigation and positioning technology, communication-based train control systems, and intelligent control technology and its applications. He has made outstanding contributions to the independent technological innovation and steady application of new train control systems for Chinese railways. He received the Second Prize of the National Science and Technology Progress Award in 2017. In 2022, he received the Zhan Tianyou Railway Science and Technology Achievement Award. He is a Senior Member of the China Computer Federation (CCF), a Senior Member of the Chinese Association for Artificial Intelligence (CAAI), a Senior Member of IEEE, and the Deputy Director of the Automation Committee of the China Railway Society, among other positions.

Xuzhu Dong is a Professor, Professor-level Senior Engineer, and Doctoral Supervisor at the School of Electrical Engineering and Automation, Wuhan University. He previously served as the Deputy Chief Engineer of the Electric Power Research Institute of China Southern Power Grid and the Director of its Smart Grid Research Institute. He also held positions as Project Manager, Department Chief Engineer, and Department Lead Engineer at EPRIsolutions, Progress Energy, and FirstEnergy in the USA. He has long been engaged in scientific research and management in the fields of smart grids and equipment asset management.

He concurrently serves as a member of the Expert Group for the MoST 2030 Smart Grid Major Project, a Responsible Expert for the National Key R&D Program on Smart Grid, a member of the IEC Market Strategy Board (MSB) Chinese National Committee, a member of CIGRE, a member of the Chinese National Committees for CIGRE C6, D1, and A2, a member of the Chinese National Committee of CIRED (International Conference on Electricity Distribution), a member of the Foreign Affairs Committee, Electrotechnical Mathematics Committee, and Superconducting Magnetic Fluids Committee of the Chinese Society for Electrical Engineering (CSEE), the Deputy Director of the Renewable Energy Grid Integration Committee of the China Renewable Energy Society, the Deputy Director of the Short-circuit Test Standards Committee for the Energy Industry, the Deputy Director of the National High-voltage Switchgear Standardization Committee, a member of the National Smart Grid User Interface Standardization Committee, a member of the Textbook Review Committee for the "Distribution Network Construction and Renovation Action Plan" of the China Electric Power Education Association and the leader of the Distribution Automation Review Group, a Senior Member of IEEE, the Chairman of the IEEE PES China Transformer Committee, the Secretary-General of the IEEE PES Guangzhou Chapter, an Editorial Board Member of "High Voltage Engineering", and an off-campus supervisor for doctoral engineering students at South China University of Technology. He has led or participated in over 60 research projects, including 4 at the provincial/ministerial level or above and 3 international cooperation projects.

Yuhu Wu is a Professor, Doctoral Supervisor, recipient of the National Young Talents Program, and currently the Dean of the School of Control Science and Engineering at Dalian University of Technology. He is an IEEE member, an SIAM member, and a reviewer for Mathematical Reviews. He has long been engaged in research on the analysis of nonlinear systems and stochastic logical systems, game theory decision-making, and control theory methods, as well as their applications in engine control systems and unmanned aerial vehicles.

He has published over 80 papers in important journals in the field of control theory and applications such as IEEE TAC, Automatica, SIAM J. Control Optim., Systems & Control Letters, IEEE TCST, as well as in mechanical engineering journals like IEEE TVT, Mechanical Systems & Signal Processing, and Applied Thermal Engineering. Among these, he has published 19 papers in the two top journals in the control field, IEEE Transactions on Automatic Control and Automatica (14 as first/corresponding author, 10 as regular papers), and over 30 papers in other IEEE Transactions series. He has received academic awards such as the IFAC Control Engineering Practice 2020-2022 Best Paper Award.

Chengju Liu received her Ph.D. in Engineering and is currently a Professor and Doctoral Supervisor at the College of Electronics and Information Engineering, Tongji University. She serves as a member of the College's Party Committee and its Vice Dean, and also as the Vice Dean of the Sino-Italian Engineering Innovation School, overseeing undergraduate teaching, admissions, experimental centers, and platform management. She is currently the Secretary-General of the Embodied Intelligence Technical Committee of the Chinese Association of Automation (CAA), the Vice Chairman of the Intelligent Automation Technical Committee of CAA, and a member of the Intelligent Robotics Professional Committee of the Chinese Association for Artificial Intelligence (CAAI).

Her research directions encompass embodied intelligence, robotics, and artificial intelligence. She has led 5 projects of the National Natural Science Foundation of China (including 2 key projects) and 4 basic research projects of the Shanghai Science and Technology Commission. She holds over 60 authorized invention patents, has published more than 130 academic papers, and has authored 2 monographs. She was awarded the First Prize of the Shanghai Technological Invention Award in 2020, the First Prize of the Shanghai Natural Science Award in 2017, and the Second Prize of the Shanghai Science and Technology Progress Award in 2024. She has also received multiple first prizes for provincial and ministerial level higher education teaching achievement awards.

Professor Dong Shen is the Director of the Distributed Artificial Intelligence Laboratory, the Head of the Department of Information and Computing Science, and the Deputy Director of the Office of Development Planning (seconded) at Renmin University of China. In 2022, he was selected for the National High-level Young Talents Support Program. He is a Senior Member of IEEE, the Vice Chairman of the Technical Committee on Data-Driven Control, Learning and Optimization of the Chinese Association of Automation (CAA), a member of the Technical Committee on Control Theory of CAA, a member of the Intelligent Control and Systems Committee of the Chinese Institute of Command and Control, and an Editorial Board Member for international journals such as IEEE Transactions on Automatic Control.

Professor Shen has long been dedicated to the design and analysis of learning control methods. His main research interests are the control and optimization of stochastic systems, particularly in iterative learning control, multi-agent systems, distributed and decentralized control design, and optimization. He leads the Distributed Artificial Intelligence Laboratory at the Engineering Research Center of Financial Computing and Digital Engineering, Ministry of Education, with main research directions including theoretical research and engineering implementation of distributed machine learning/deep learning and artificial intelligence. He has been consecutively selected for five years in the global top 2% of scientists list for "Career-long Impact".