Zidong Wang is Professor of Dynamical Systems and Computing at Brunel University London, West London, United Kingdom. He was born in 1966 in Yangzhou, Jiangsu, China. He received the BSc degree in Mathematics in 1986 from Suzhou University, Suzhou, the MSc degree in Applied Mathematics in 1990 and the PhD degree in Electrical and Computer Engineering in 1994, both from Nanjing University of Science and Technology, Nanjing.
Professor Wang's research interests include dynamical systems, signal processing, bioinformatics, control theory and applications. He has published more than 600 papers in refereed international journals. He was awarded the Humboldt research fellowship in 1996 from Alexander von Humboldt Foundation, the JSPS Research Fellowship in 1998 from Japan Society for the Promotion of Science, and the William Mong Visiting Research Fellowship in 2002 from the University of Hong Kong. He was a recipient of the State Natural Science Award from the State Council of China in 2014 and the Outstanding Science and Technology Development Awards (once in 2005 and twice in 1997) from the National Education Committee of China.
Professor Wang is a Member of the Academia Europaea (section of Physics and Engineering Sciences), a Member of the European Academy of Sciences and Arts (class of Natural Sciences), an Academician of the International Academy for Systems and Cybernetic Sciences, a Fellow of the Institute of Electrical and Electronics Engineers (for contributions to networked control and complex networks), a Fellow of the Chinese Association of Automation, a Fellow of the Artificial Intelligence Industry Alliance, a Fellow of the Asia-Pacific Artificial Intelligence Association, a Member of the IEEE Press Editorial Board, a Member of the EPSRC Peer Review College of the UK, a Fellow of the Royal Statistical Society, a member of program committee for many international conferences, and a very active reviewer for many international journals. He was nominated an appreciated reviewer for IEEE Transactions on Signal Processing in 2006-2008 and 2011, an appreciated reviewer for IEEE Transactions on Intelligent Transportation Systems in 2008, an outstanding reviewer for IEEE Transactions on Automatic Control in 2004 and for the journal Automatica in 2000.
Liu Qinyuan is a professor at the School of Electronic Information Engineering, Tongji University. He received his bachelor's degree in the Department of Control Science and Engineering from Huazhong University of Science and Technology in June 2012 and his Ph.D. in the Department of Automation from Tsinghua University in June 2017. He was awarded the First Prize for Outstanding Doctoral Dissertation at Tsinghua University and the title of Outstanding Graduate of Tsinghua University. From 2014 to 2015, he conducted research at the Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology. From 2016 to 2017, he served as an international researcher at the Department of Computer Science, Brunel University. From 2021 to 2022, he worked as the project manager for the National Key Research and Development Program at the Industrial and Information Technology Development Promotion Center of the Ministry of Industry and Information Technology.
Research directions include distributed sensing, multi-sensor data fusion, anomaly detection and fault diagnosis, big data analysis and machine learning, etc. He has received funding from the National Natural Science Foundation of China's Outstanding Youth Science Fund, Shanghai Morning Light Scholar and other talent programs. One Springer English monograph has been published, and over 20 papers have been published, including more than 10 in IEEE Transactions and first-tier journals. The Google Scholar citation count is nearly 1,200 times, and five papers have been selected as ESI highly cited papers. He has received honors such as the Second Prize of Beijing Natural Science, Beijing Qilin Science and Technology Award, Wu Wenjun Artificial Intelligence Science and Technology Outstanding Youth Award, ACM Shanghai Rising Star Award, Nomination for the Best Young Paper Award at the World Artificial Intelligence Conference, and the Excellent Doctoral Dissertation Award of the Chinese Association of Automation.
Yaochu Jin is presently the President of the IEEE Computational Intelligence Society and the Editor-in-Chief of Complex & Intelligent Systems. He was the Editor-in-Chief of the IEEE Transactions on Cognitive and Developmental Systems, an IEEE Distinguished Lecturer in 2013-2015 and 2017-2019, the Vice President for Technical Activities of the IEEE Computational Intelligence Society (2015-2016). He is the recipient of the 2018, 2021 and 2023 IEEE Transactions on Evolutionary Computation Outstanding Paper Award, and the 2015, 2017, and 2020 IEEE Computational Intelligence Magazine Outstanding Paper Award. He was named by Clarivate as a “Highly Cited Researcher” consecutively from 2019. He is a Member of Academia Europaea and Fellow of IEEE. He received the 2025 IEEE Frank Rosenblatt Award.
Research interests include evolutionary optimization of complex systems, trustworthy AI and brain-like embodied AI. He has been working in the cross-disciplinary areas of computational intelligence, computational neuroscience and robotics, including evolutionary optimization and learning, secure and privacy-preserving machine learning and optimization, graph neural network and diffusion model based combinatorial optimization, large-scale spiking neural networks and neural plasticity, computational modeling of neural and morphological development, morphogenetic self-organizing swarm robots, reconfigurable modular robots, humanoid robots, and evolutionary developmental systems.
