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, director of Department of Information Science of National Natural Science Foundation of China.
His current research interests include modeling, control, optimization and integrated automation of complex industrial processes.
Professor Jon Garibaldi is Head of School of Computer Science at the University of Nottingham, Head of the Intelligent Modelling and Analysis (IMA) Research Group, and Founding Director of the University of Nottingham Advanced Data Analysis Centre. His main research interest is in developing intelligent techniques to model human reasoning in uncertain environments, with a particular emphasis on the medical domain.
Zeng-Guang Hou is a Professor and Deputy Director of the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences (CAS).
He is a VP of the Chinese Association of Automation (CAA) and the Asia Pacific Neural Network Society (APNNS), and a member of Board of Governors of International Neural Network Society (INNS). Dr. Hou is an IEEE/CAA Fellow, an Associate Editor of the IEEE Transactions on Cybernetics and the Neural Networks.
Hisao Ishibuchi is a Chair Professor at Southern University of Science and Technology, China. He was the IEEE Computational Intelligence Society (CIS) Vice-President for Technical Activities in 2010-2013 and the Editor-in-Chief of IEEE Computational Intelligence Magazine in 2014-2019. Currently he is an IEEE CIS Administrative Committee Member (2014-2019, 2021-2023), an IEEE CIS Distinguished Lecturer (2015-2017, 2021-2023), and an Associate Editor of several journals such as IEEE Trans. on Evolutionary Computation, IEEE Trans. on Cybernetics, IEEE Access, and ACM Computing Surveys. He is also Program Chair of IEEE SSCI 2022, and General Chair of IEEE WCCI 2014. He received a Fuzzy Systems Pioneer Award from IEEE CIS in 2019, an Outstanding Paper Award from IEEE Trans. on Evolutionary Computation in 2020, and Best Paper Awards from FUZZ-IEEE 2009, 2011, EMO 2019, and GECCO 2004, 2017, 2018, 2020, 2021. He also received a JSPS prize in 2007. He is an IEEE Fellow.
Robert Kozma (M’98–SM’02–F’13) received the M.S. degree in power engineering from the Moscow Power Engineering Institute, Moscow, Russia, in 1982, the M.S. degree in mathematics from Eötvös Loránd University, Budapest, Hungary, in 1988, and the Ph.D. degree in applied physics from the Delft University of Technology, Delft, The Netherlands, in 1992.,He became an Assistant Professor/Lecturer with the Department of Information Sciences, Otago University, Dunedin, New Zealand, in 1996. In 1998, he held a joint appointment with the Division of Neurobiology and the Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA, USA. In 2009, he was appointed as a Professor of Computer Science with The University of Memphis, Memphis, TN, USA. He has been an Associate Professor with the Department of Quantum Science and Engineering, Tohoku University, Sendai, Japan, since 1993. Since 2009, he has been a Professor of Mathematical Sciences with The University of Memphis. Since 2001, he has been the Director of the Computational Neurodynamics Laboratory (currently CLION), FedEx Institute of Technology, The University of Memphis.,Dr. Kozma served on AdCom of the IEEE Computational Intelligence Society (CIS) from 2009 to 2012, and on the Governing Board of the International Neural Network Society (INNS) from 2004 to 2012. He is the Chair of the Distinguished Lecturer Program of the IEEE CIS. He has been a Technical Committee Member of the IEEE CIS since 1996. He also served in leading positions at over 20 international conferences, including the General Chair of the IEEE/INNS International Joint Conference on Neural Networks (IJCNN) in Atlanta, GA, USA, in 2009, the Program Co-Chair of the IJCNN/World Congress on Computational Intelligence (WCCI) in Hong Kong in 2008, the Program Co-Chair of IJCNN in Budapest, Hungary, in 2004, and the Chair for Finances of the IEEE WCCI in Vancouver, BC, Canada, in 2006. He is an Associate Editor of Neural Networks, the IEEE Transactions on Neural Networks, Neurocomputing, and the Journal of Cognitive Neurodynamics.
Haizhou Li received his Ph.D degree from South China University of Technology, Guangzhou, China in 1990. He is currently Professor at the Department of Electrical and Computer Engineering, National University of Singapore. His research interests include speech information processing, natural language processing, and neuromorphic computing.
Professor Li has served as the Editor-in-Chief of IEEE/ACM Transactions on Audio, Speech and Language Processing (2015-2018), the President of the International Speech Communication Association (ISCA, 2015-2017), and the President of Asia Pacific Signal and Information Processing Association (APSIPA, 2015-2016). He is a Fellow of the IEEE and the ISCA.
Chin-Teng Lin received the B.S. degree from the National Chiao-Tung University (NCTU), Taiwan in 1986, and the Master and Ph.D. degree in electrical engineering from Purdue University, West Lafayette, Indiana, U.S.A. in 1989 and 1992, respectively. He is currently a Distinguished Professor, Co-Director of Australian AI Institute, and Director of CIBCI Lab, FEIT, UTS. He is also invited as the International Faculty of the University of California at San Diego (UCSD) from 2012 and Honorary Professorship of University of Nottingham from 2014.
Prof. Lin’s research focuses on machine-intelligent systems and brain computer interface, including algorithm development and system design. He has published over 390 journal papers (H-Index 79 based on Google Scholar), and is the co-author of Neural Fuzzy Systems (Prentice-Hall) and author of Neural Fuzzy Control Systems with Structure and Parameter Learning (World Scientific). Dr. Lin served as Editor-in-Chief of IEEE Transactions on Fuzzy Systems from 2011 to 2016, and has served on the Board of Governors of IEEE Circuits and Systems Society, IEEE Systems, Man, and Cybernetics Society, and IEEE Computational Intelligence Society. He is the Chair of the 2022 CIS Awards Committee. Dr. Lin is an IEEE Fellow, and received the IEEE Fuzzy Pioneer Award in 2017.
Derong Liu received the Ph.D. degree in electrical engineering from the University of Notre Dame in 1994. He was a Staff Fellow with General Motors Research and Development Center, from 1993 to 1995. He was an Assistant Professor with the Department of Electrical and Computer Engineering, Stevens Institute of Technology, from 1995 to 1999. He joined the University of Illinois at Chicago in 1999, and became a Full Professor of Electrical and Computer Engineering and of Computer Science in 2006. He was selected for the “100 Talents Program” by the Chinese Academy of Sciences in 2008, and he served as the Associate Director of The State Key Laboratory of Management and Control for Complex Systems at the Institute of Automation, from 2010 to 2016. He has published 19 books. He is the Editor-in-Chief of Artificial Intelligence Review (Springer). He was the Editor-in-Chief of the IEEE Transactions on Neural Networks and Learning Systems from 2010 to 2015. He received the Faculty Early Career Development Award from the National Science Foundation in 1999, the University Scholar Award from University of Illinois from 2006 to 2009, the Overseas Outstanding Young Scholar Award from the National Natural Science Foundation of China in 2008, the Outstanding Achievement Award from Asia Pacific Neural Network Assembly in 2014, the INNS Gabor Award in 2018, the IEEE TNNLS Outstanding Paper Award in 2018, the IEEE SMC Society Andrew P. Sage Best Transactions Paper Award in 2018, and the IEEE/CCA J. Automatica Sinica Hsue-Shen Tsien Paper Award in 2019. He is a Fellow of the IEEE, a Fellow of the International Neural Network Society, a Fellow of the International Association of Pattern Recognition, and a Member of Academia Europaea (The Academy of Europe).
Marios Polycarpou is a Professor of Electrical and Computer Engineering and the Director of the KIOS Research and Innovation Center of Excellence at the University of Cyprus. He is also a Member of the Cyprus Academy of Sciences, Letters, and Arts, and an Honorary Professor of Imperial College London. He received the B.A degree in Computer Science and the B.Sc. in Electrical Engineering, both from Rice University, USA in 1987, and the M.S. and Ph.D. degrees in Electrical Engineering from the University of Southern California, in 1989 and 1992 respectively. His teaching and research interests are in intelligent systems and networks, adaptive and learning control systems, fault diagnosis, machine learning, and critical infrastructure systems. Dr. Polycarpou has published more than 400 articles in refereed journals, edited books and refereed conference proceedings, and co-authored 7 books. He is also the holder of 6 patents. Prof. Polycarpou received the 2016 IEEE Neural Networks Pioneer Award. He is a Fellow of IEEE and IFAC and the recipient of the 2014 Best Paper Award for the journal Building and Environment (Elsevier). He served as the President of the IEEE Computational Intelligence Society (2012-2013), as the President of the European Control Association (2017-2019), and as the Editor-in-Chief of the IEEE Transactions on Neural Networks and Learning Systems (2004-2010). Prof. Polycarpou currently serves on the Editorial Boards of the Proceedings of the IEEE, the Annual Reviews in Control, and the Foundations and Trends in Systems and Control. His research work has been funded by several agencies and industry in Europe and the United States, including the prestigious European Research Council (ERC) Advanced Grant, the ERC Synergy Grant and the EU Teaming program.
Mohamad Sawan is Chair Professor in Westlake University, Hangzhou, China, and Emeritus Professor in University of Montreal, Canada. He is founder and director of the Cutting-Edge Net of Biomedical Research And INnovation (CenBRAIN) in Westlake University. He received the Ph.D. degree from University of Sherbrooke, Canada. He is Co-Founder, Associate Editor and was Editor-in-Chief of the IEEE Transactions on Biomedical Circuits and Systems (2016-2019). He is founder of the International IEEE-NEWCAS Conference and of the Polystim Neurotech Laboratory, and Co-Founder of the International IEEE-BioCAS Conference.
Professor Yong-Duan Song is a Fellow of IEEE, Fellow of AAIA, Fellow of International Eurasian Academy of Sciences, and Fellow of Chinese Automation Association. He was one of the six Langley Distinguished Professors at National Institute of Aerospace (NIA), USA and register professional engineer (USA). He is currently the dean of Research Institute of Artificial Intelligence at Chongqing University. Professor Song is the Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems (TNNLS) and the founding Editor-in-Chief of the International Journal of Automation and Intelligence.
ALICE E. SMITH is the Joe W. Forehand/Accenture Distinguished Professor of the Industrial and Systems Engineering Department at Auburn University, where she served as Department Chair from 1999-2011. She also has a joint appointment with the Department of Computer Science and Software Engineering. Previously, she was on the faculty of the Department of Industrial Engineering at the University of Pittsburgh from 1991-99, which she joined after industrial experience with Southwestern Bell Corporation. Dr. Smith has degrees from Rice University, Saint Louis University, and Missouri University of Science and Technology.
Dr. Smith’s research focus is analysis, modeling, and optimization of complex systems with emphasis on computation inspired by natural systems. She holds one U.S. patent and several international patents and has authored more than 200 publications which have garnered over 14,500 citations and an H Index of 47 (Google Scholar). She is the editor of the recent book Women in Industrial and Systems Engineering: Key Advances and Perspectives on Emerging Topics (https://www.springer.com/us/book/9783030118655#aboutBook). Several of her papers are among the most highly cited in their respective journals including the most cited paper of Reliability Engineering & System Safety and the 3rd most cited paper of IEEE Transactions on Reliability. She won the E. L. Grant Best Paper Awards in 1999 and in 2006, and the William A. J. Golomski Best Paper Award in 2002. Dr. Smith is the Editor in Chief of INFORMS Journal on Computing and an Area Editor of Computers & Operations Research.
Kay Chen Tan is currently a Chair Professor (Computational Intelligence) of the Department of Computing, The Hong Kong Polytechnic University. He has co-authored 9 books and published over 300 peer-reviewed journal articles. Prof. Tan is currently the Vice-President (Publications) of IEEE Computational Intelligence Society, USA. 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 is an IEEE Fellow and an Honorary Professor at University of Nottingham in UK. He also serves as the Chief Co-Editor of Springer Book Series on Machine Learning: Foundations, Methodologies, and Applications.
Ljiljana Trajkovic received the Dipl. Ing. degree from University of Pristina, Yugoslavia, in 1974, the M.Sc. degrees in electrical engineering and computer engineering from Syracuse University, Syracuse, NY, in 1979 and 1981, respectively, and the Ph.D. degree in electrical engineering from University of California at Los Angeles, in 1986.
She is currently a Professor in the School of Engineering Science at Simon Fraser University, Burnaby, British Columbia, Canada. From 1995 to 1997, she was a National Science Foundation (NSF) Visiting Professor in the Electrical Engineering and Computer Sciences Department, University of California, Berkeley. She was a Research Scientist at Bell Communications Research, Morristown, NJ, from 1990 to 1997, and a Member of the Technical Staff at AT&T Bell Laboratories, Murray Hill, NJ, from 1988 to 1990. Her research interests include high-performance communication networks, control of communication systems, computer-aided circuit analysis and design, and theory of nonlinear circuits and dynamical systems.
Fei-Yue Wang received his Ph.D. in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, New York in 1990. He joined the University of Arizona in 1990 and became a Professor and Director of the Robotics and Automation Lab (RAL) and Program in Advanced Research for Complex Systems (PARCS). In 1999, he founded the Intelligent Control and Systems Engineering Center at the Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, China, under the support of the Outstanding Overseas Chinese Talents Program from the State Planning Council and “100Talent Program” from CAS, and in 2002, was appointed as the Director of the Key Lab of Complex Systems and Intelligence Science, CAS. From 2006 to 2010, he was Vice President for Research, Education, and Academic Exchanges at the Institute of Automation, CAS. In 2011, he became the State Specially Appointed Expert and the Director of the State Key Laboratory for Management and Control of Complex Systems.
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=57). 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 National Champion of the China Brain-Computer Interface Competition in two successive years (2021-2022). Prof. Wu is the Editor-in-Chief of IEEE Transactions on Fuzzy Systems.
Gary G. Yen received the Ph.D. degree in electrical and computer engineering from the University of Notre Dame in 1992. He is currently a Regents Professor in the School of Electrical and Computer Engineering, Oklahoma State University. His research interest includes intelligent control, computational intelligence, evolutionary multiobjective optimization, conditional health monitoring, signal processing and their industrial/defense applications.
Shen Yin (Fellow, IEEE) holds an M.Sc. in control and information systems and a Ph.D. (Dr.-Ing.) in electrical engineering and information technology from the University of Duisburg-Essen, Germany. He is currently a DNV Endowed Full Professor at the Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Norway. With research interests encompassing Fault diagnosis/prognosis and fault tolerance, Reliability, safety, and security, Data-driven monitoring and optimization, System and control theory, and Applications in health diagnosis and cyber-physical systems, he is actively engaged in advancing the field of industrial engineering.
In addition to his academic roles, he also holds editorial positions, including Co Editor-in-Chief of IEEE Transactions on Industrial Informatics, Deputy Editor-in-Chief of Discover Artificial Intelligence (Springer Nature), and serves as an Associate Editor for the IEEE Transactions on Industrial Electronics, IEEE Transactions on Consumer Electronics, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Industrial Cyber Physical Systems, and IEEE Journal of Emerging and Selected Topics in Industrial Electronics, etc.
He has been recognized for his contributions to the field, having received the NAMUR Award for "Process Automation" in 2012, the Best Paper Award from the IEEE Transactions on Industrial Electronics in 2015, and the China Youth Science and Technology Award in 2020, among other accolades. He has been consecutively listed as a Highly Cited Researcher by Clarivate from 2016 to 2022.