Francesco Mercaldo received his master degree in computer engineering from the University of Sannio (Benevento, Italy), with a thesis in software testing. He obtained his Ph.D. in 2015 with a dissertation on malware analysis using machine learning techniques. The research areas of Francesco are related to data mining, deep learning, image processing and information security. Currently, he is working as Researcher at the University of Molise, Campobasso, Italy.

Dr Jixin Ma is a Full Professor of Computer Science (Artificial Intelligence) and the Director of PhD/Postgraduate Research Programme in the School of Computing and Mathematical Sciences at University of Greenwich, U.K. He has been the Director of the Centre for Computer and Computational Science and the Lead of Artificial Intelligence Research Group. Professor Ma is also a Visiting Professor of Beijing Normal University, Hainan University, Anhui University, Zhengzhou Light Industrial University and Macau City University. Professor Ma obtained his BSc and MSc of Mathematics in 1982 and 1988, respectively, and PhD of Computer Sciences in 1994. His main research areas include Artificial Intelligence, Data Science, and Information Systems, with special interests in Temporal Logic, Information Security, Machine Learning, Case-Based Reasoning and Pattern Recognition. Professor Ma has been a member British Computer Society, American Association of Artificial Intelligence, ACIS/IEEE, World Scientific and Engineering Society, and Special Group of Artificial Intelligence of BCS. He has also been the Editor of several international journals and international conference proceedings, Conference/Program Chair, and Invited Keynote Speakers of many international conferences. Professor Ma has published more than 200 research papers in peer-reviewed international journals and conferences.

Xinguo Yu is the dean of CCNU Wollongong Joint Institute and a professor of National Engineering Research Center for E-Learning at Central China Normal University, Wuhan, China. He is a senior member of both IEEE and ACM, and an adjunct professor of University of Wollongong, Australia. He is a vice director of Smart Educational Technology Branch Society under Automation Society in China, and the chair of Hubei Society of Artificial Intelligence in Research and Education. He received B.Sc. degree in Mathematics from Wuhan University of Technology, M. Eng degree from Huazhong University of Science and Technology, another M. Eng. degree from Nanyang Technological University, Singapore and Ph.D. degree in Computer Science from National University of Singapore. His current research mainly focuses on intelligent educational technology, educational robotics, multimedia analysis, computer vision, and machine learning. He has published over 170 research papers. He is Associate Editor and Guest Editors for several international journals. He was general chairs or program chairs or Keynote speakers for more than 30 international conferences. He is the main founder of annual International Conference on Artificial Intelligence in Education and Research.

Kong Xiangjie is a professor at the School of Computer Science and Technology, Zhejiang University of Technology, a recipient of the Zhejiang Provincial Outstanding Youth Fund, a Hangzhou Qianjiang Distinguished Expert, a Canal Young Scholar at Zhejiang University of Technology, and the founder and director of the Urban Science and Social Computing Laboratory. He is currently a Distinguished Member of the CCF, a Senior Member of IEEE, a Member of ACM, a Member of the American Society for Research in Science (Sigma Xi), an Executive Committee Member of the Information Systems Committee of the China Computer Federation, an Executive Committee Member of the Ubiquitous Computing Committee of the China Computer Federation, and a Member of the Federated Data and Federated Intelligence Committee of the Chinese Association of Automation. He has served as an editor for several international SCI journals, including PeerJ Computer Science, KSII Transactions on Internet and Information Systems, and Array, and as a (chief) guest editor for several international SCI journal special issues, such as Pervasive and Mobile Computing. He has been invited to serve as the plenary/program committee chair for more than 10 international conferences, including CCVPR, and has delivered plenary/keynote speeches at more than 10 international conferences, including IEEE CCCI. He serves on the Senior Program Committee (SPC/TPC) of several international conferences, including AAAI, IJCAI, KDD, IEEE Big Data, IJCNN, COMPLEX NETWORKS, IEEE UIC, and IEEE ICC. He has published/accepted over 300 papers in international journals and conferences and has consistently been ranked among the top 2% of scientists globally by Stanford University, both in terms of lifetime impact and annual scientific impact.

Professor Bing Shi, is doctoral supervisor, and Associate Dean of the School of Computer Science and Artificial Intelligence at Wuhan University of Technology. He is also recognized as a Hubei Chutian Scholar. He received his Bachelor's and Master's degrees from the Department of Computer Science and Technology at Nanjing University, and his Ph.D. from the School of Electronics and Computer Science at the University of Southampton, UK, where he subsequently conducted postdoctoral research. Dr. Shi's research focuses on artificial intelligence, multi-agent systems, and game theory. He has led four national-level research projects and four projects funded by the Ministry of Education. He has published over 60 papers (as first or corresponding author) in CCF-recommended journals and conferences, as well as in CAS Zone 1 journals. His research has been honored with the 2024 Hubei Provincial Association for Science and Technology Excellent Academic Paper Award and recognized as a 2025 Hubei Province Typical Application Scenario of Artificial Intelligence. The courses he teaches have been designated as first-class courses in Hubei Province and national online courses for engineering master's degree students. He has received two first prizes of the Hubei Provincial Teaching Achievement Award, the Outstanding Project Case Award of the Ministry of Education's University-Industry Collaborative Education Program, and the Huawei Outstanding Achievement Award under the same program. He has also mentored students to win numerous national and provincial-level awards in academic competitions.

LU LENG received his Ph.D degree from Southwest Jiaotong University, Chengdu, P. R. China, in 2012. He performed his postdoctoral research at Yonsei University, Seoul, South Korea, and Nanjing University of Aeronautics and Astronautics, Nanjing, P. R. China. He was a visiting scholar at West Virginia University, USA, and Yonsei University, South Korea. Currently, he is a full professor, the dean of Institute of Computer Vision, the office director of Jiangxi Province Key Laboratory of Image Processing and Pattern Recognition at Nanchang Hangkong University. Prof. Leng has published more than 100 international journal and conference papers, including more than 70 SCI papers and three highly cited papers. He has been granted several scholarships and funding projects, including six projects supported by National Natural Science Foundation of China (NSFC). He serves as a reviewer of more than 100 international journals and conferences. His research interests include computer vision, biometric template protection, biometric recognition, medical image processing, data hiding, etc. Prof. Leng was awarded Jiangxi Youth May-4th Medal, and is an outstanding representative of "Innovation Talent" of Jiangxi Enterprise in "Science and Technology China", "Jiangxi Hundred-Thousand-Ten-thousand Talent Project", "Jiangxi Voyage Project", etc.