Yi Pan is currently a Chair Professor and the Dean with the College of Computer Science and Control Engineering, Shenzhen University of Advanced Technology, Shenzhen, China, and a Regents' Professor Emeritus with Georgia State University, Atlanta, GA, USA. From 2005 to 2020, he was the Chair with Computer Science Department, Georgia State University. During 2013–2017, he was also the Interim Associate Dean and Chair with Biology Department. In 2000, he joined Georgia State University, was promoted to Full Professor in 2004, named a Distinguished University Professor in 2013, and Designated a Regents' Professor (the highest recognition given to a Faculty Member by the University System of Georgia) in 2015. He has authored or coauthored more than 450 papers including more than 250 journal papers with more than 100 papers published in IEEE/ACM Transactions/Journals and has also edited/authored 43 books. His work has been cited more than 27000 times based on Google Scholar and his current H-index is 98. Dr. Pan is also the Editor-in-Chief of Big Data Mining and Analytics (a top 3% journal), Associate Editor-in-Chief of Journal of Computer Science and Technology (JCST), and Chinese Journal of Electronics (CJE). He was the Editor-in-Chief or Editorial Board Member for 20 journals including seven IEEE Transactions.
Ning Zhong received a Ph.D. degree from the University of Tokyo. He currently holds positions as the chairman of the Web Intelligence Consortium (WIC, wi-consortium.org), senior professor of engineering at Maebashi Institute of Technology, Japan. His research interests focus on Web Intelligence, Brain Informatics, machine learning, data mining, intelligent health technologies, and intelligent systems. He serves as the editor-in-chief of the Brain Informatics journal (Springer Nature). He is a foreign fellow of the Engineering Academy of Japan (EAJ) and a member of the National Academy of Artificial Intelligence (NAAI).
重庆邮电大学特聘教授、日本前桥工业大学名誉教授、日本工程院外籍院士、国际网络智能协会 (WIC) 创办人并任主席、《Brain Informatics》(Springer Nature) 国际学术期刊创刊人及主编。日本东京大学工学博士 (尖端科学技术研究中心先进跨学科工学专攻，人工智能研究方向)。主要研究领域包括人工智能、网络智能、脑信息学、机器学习与数据挖掘、多粒度认知计算、智能健康技术和智能信息系统。从事网络智能与脑信息学的交叉融合研究与产业创新。
Jie Xu is Chair of Computing at the University of Leeds, Director of the UK White Rose Grid e-Science Centre, involving the three White Rose Universities of Leeds, Sheffield and York, a co-Leader of the EPSRC-funded UK National Hub in Clouds and Distributed Computing, and Head of the Distributed Systems and Services (DSS) Theme at Leeds. Xu has worked in the field of Distributed Computing Systems for over forty years, engaging closely with industrial leaders in the field. He received a PhD in Computing Science from the University of Newcastle upon Tyne, and was Professor of Distributed Systems at the University of Durham before joined Leeds in 2003.
Professor Xu is an executive member of UKCRC (UK Computing Research Committee) and a Turing Fellow in AI and Data Science. He has served as an academic expert for numerous governments and industries, such as Singapore IDA, Lenovo, UK EPSRC, UK DTI (InnovateUK), and Research Ireland. In addition, he has extensive editorial experience, having served as an editor for IEEE Distributed Systems from 2000 to 2005, and currently acting as an associate editor of IEEE Transactions on Parallel and Distributed Systems and ACM Computing Surveys. Professor Xu is currently the Steering Committee Chair of IEEE ISADS, a Steering Committee member for several IEEE conferences, such as SRDS, ISORC, HASE, SOSE, JCC, and CISOSE, as well as serving on the steering board of IEEE TC on BIS. He has also been a General Chair/PC Chair for various IEEE international conferences. With over 300 academic publications, including papers in top-ranked IEEE and ACM Transactions, Professor Xu has received international research prizes, such as the BCS/AT&T Brendan Murphy Prize and HiPEAC Transfer Award 2025, and led or co-led more than 20 research projects worth over £30M. He is also the co-founder of two university spinouts specializing in data analytics and AI software for optimizing data-centre performance, as well as in co-simulation and digital-twin technologies, and is the founding co-director of ACE3 AI Ltd.
More information will be added soon...