Biography：Min Chen is a professor and a doctoral supervisor at the School of Computer Science and Engineering, South China University of Technology; he is an IEEE Fellow (Fellow of the International Institute of Electrical and Electronic Engineers), IET Fellow (Fellow of the Institution of Engineering and Technology, UK), with more than 39,500 citations from Google Scholar, H-index=94, and has been awarded the 2018, 2019, 2020, 2021, and 2022 Coreview Scholarships. He graduated from South China University of Technology (SCUT) at the age of 23 with a Ph.D. in Electronics and Communication Engineering, and worked as a postdoctoral fellow at Seoul National University in South Korea and the University of British Columbia in Canada; he taught at Seoul National University in 2009; he returned to China in 2009 as a high-level talent from overseas and founded the Embedded and Pervasive Computing Laboratory of Huazhong University of Science and Technology (HUST); and he is currently a professor and a Ph.D. director of the School of Computer Science at HUST. He has published more than 200 papers in IEEE JSAC, IEEE TNNLS, IEEE TPDS, IEEE TWC, IEEE TSC, INFOCOM, Science, Nature Communications, and other international authoritative journals and well-known academic conferences, and has been authorized more than 20 national invention patents. He has published 12 monographs and textbooks, among which the all-American English textbook "Big Data Analytics Applications" has been adopted by 40 famous schools such as Harvard and Stanford. He has been invited to give presentations in 16 international academic conferences, and several papers won the best conference papers, and was awarded the Fred W. Ellersick Prize of the IEEE Communications Society (2017), the Jack Neubauer Memorial Award of the IEEE Society for In-vehicle Technology (2019), and the Best Paper Award of the IEEE ComSoc Asia-Pacific Region (2022). Award (2022).

Biography：Ferrante Neri (Senior Member, IEEE) received the Laurea and Ph.D. degrees in electrical engineering from the Technical University of Bari, Bari, Italy, in 2002 and 2007, respectively, and the second Ph.D. degree in scientific computing and optimization and the D.Sc. degree in computational intelligence from the University of Jyväskylä, Jyväskylä, Finland, in 2007 and 2010, respectively. Between 2009 and 2014, he was an Academy Research Fellow with the Academy of Finland to lead the project Algorithmic Design Issues in Memetic Computing. He was with De Montfort University, Leicester, U.K., between 2012 and 2019 and with the University of Nottingham, Nottingham, U.K., between 2019 and 2022. Since 2022, he has been with the University of Surrey, Guildford, as a Full Professor of machine learning and artificial intelligence and the Head of the Nature Inspired Computing and Engineering (NICE) Research Group. His research focuses on metaheuristic optimisation with applications in the context of machine learning.

Biography：Professor Hongying Meng is associated with the Department of Electronic and Electrical Engineering at Brunel University London. Prior to this role, he held various research positions at several universities in the UK, including University College London (UCL), University of York, University of Southampton, University of Lincoln, and University of Dundee. He received his Ph.D. in Communication and Electronic Systems from Xi’an Jiaotong University and served as a lecturer in the Electronic Engineering Department at Tsinghua University in Beijing, China.

Professor Meng's research areas encompass biomedical engineering, computer vision, affective computing, artificial intelligence, neuromorphic computing, and the Internet of Things. His work is supported by various funding bodies, including the Engineering and Physical Sciences Research Council (EPSRC), EU Horizon 2020, the Royal Academy of Engineering, and the Royal Society. He has authored over 200 academic papers that have garnered more than 6,800 citations, with a Google Scholar h-index of 39.

Notably, he has developed two distinct emotion recognition systems that won international challenge competitions AVEC 2011 and AVEC 2013. Professor Meng is a Senior Member of the IEEE and serves as an associate editor for the IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) and the IEEE Transactions on Cognitive and Developmental Systems (TCDS). Additionally, he is the Associate Editor-in-Chief for Digital Twins and Applications by IET. In 2022, he was recognized as one of the AI 2000 Most Influential Scholars by Aminer.