Speakers
Prof. Yi Pan, Shenzhen University of Advanced Technology, China National High-Level Talent Dr. Yi Pan is currently a Chair Professor and Dean of Faculty of Computer Science and Artificial Intelligence at Shenzhen University of Advanced Technology, China and a Regents’ Professor Emeritus at Georgia State University, USA. He served as Chair of Computer Science Department at Georgia State University from 2005 to 2020. He has also served as an Interim Associate Dean and Chair of Biology Department during 2013-2017. Dr. Pan joined Georgia State University in 2000, 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. Dr. Yi Pan is Fellow of American Institute for Medical and Biological Engineering, Foreign Member of Russian Academy of Engineering, Foreign member of Ukrainian Academy of Engineering Science, Member of European Academy of Sciences and Arts, Distinguished Fellow of International Engineering and Technology Institute, Fellow of the Royal Society for Public Health, Fellow of the Institute of Engineering and Technology, and Fellow of the Japan Society for the Promotion of Science. His work has been cited more than 34000 times based on Google Scholar and his current h-index is 104. He was selected as a top 0.05% scholar in the world and ranked the world's No. 4 top scholar in computational biology over the past five years by ScholarGPS in 2024 and 2025. Dr. Pan received his B.Eng. and M.Eng. degrees in computer engineering from Tsinghua University, China, in 1982 and 1984, respectively, and his Ph.D. degree in computer science from the University of Pittsburgh, USA, in 1991. Dr. Pan has published more than 450 papers including over 250 journal papers with more than 100 papers published in IEEE/ACM Transactions/Journals. In addition, he has edited/authored 43 books. Dr. Pan is currently serving as 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). Dr. Pan has served as an editor-in-chief or editorial board member for 20 journals including 7 IEEE Transactions. |
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| Prof. Shanshan Wang Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China National Science Fund for Excellent Young Scholars Shanshan Wang is a Professor at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, and a recipient of the National Science Fund for Excellent Young Scholars. She was recognized among the “World’s Top 2% Scientists” by Elsevier and Stanford University (2022–2025). Her research focuses on artificial intelligence, rapid medical imaging, radiomics, and multimodal analysis, with publications in Nature BME and IEEE Transactions, etc. Dr. Wang has made pioneering contributions to AI-driven fast medical imaging and physics-informed small-sample learning. She delivered a named plenary lecture at the ISMRM Annual Meeting (London, UK) and a keynote at the Gordon Research Conference on In Vivo Magnetic Resonance (USA). Her technologies have been licensed to two medical companies and deployed in over 1,000 MRI and low-dose CT systems. She serves on the editorial boards of leading journals, including IEEE Transactions on Medical Imaging, IEEE Transactions on Computational Imaging, Magnetic Resonance in Medicine, and Pattern Recognition |
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Prof. Bo Tang, Southern University of Science and Technology, China National Science Fund for Excellent Young Scholars Bo Tang received the PhD Degree in the Department of Computing at Hong Kong Polytechnic University. He was a member of Database Research Group. He was supervised by Dr. Ken Yiu. He was a visiting researcher at MonetDB group (Amsterdam) and Microsoft Research Asia (Beijing). Before that, he obtained his BEng degree in computer science from Sichuan University. My research interests are in the area of data management (i.e., database/big-data systems, query processing). In particular, I focus on improving query time efficiency and data analytical result accuracy. I do research because I really enjoy it. Especially, I want to do top research work which will make a difference to our life. |
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Assoc. Prof. Zitong Yu, Great Bay University, China National Overseas High-Level Talent I am currently an Associate Professor (Tenured) of computer science at Great Bay University, leading the YU Vision (YUV) Group. I was a Postdoctoral researcher at ROSE Lab, Nanyang Technological University, working with Prof. Alex Kot. I also serve as an advisor on rPPG-based healthcare for BioTrillion, USA. I received my PhD degree in CS at CMVS, University of Oulu in 2022 (supervised by Prof. Guoying Zhao). I was a visiting scholar at TVG, University of Oxford, from July to November 2021, supervised by Prof. Philip Torr. My research interests include computer vision, biometric security, and multimodal learning. |  |
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 | Prof. Pengwei Hu, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, China National Overseas High-Level Talent His main research directions include artificial intelligence representation learning, complex network analysis, biomedical molecular network analysis, and intelligent organoids. He has been selected for the National Overseas High-Level Talent Introduction Program and the Tianchi Plan Leading Talent Program. He has presided over or participated in projects such as the Xinjiang Outstanding Youth Science Fund, the National Natural Science Foundation General Program, and the Youth Program. He previously served as the Chief AI Scientist at Merck Group in Germany, responsible for global innovative research and development at the intersection of artificial intelligence and biomedicine. Currently, he serves as an associate editor for several SCI journals, including BMC Bioinformatics. He has been a program committee member and area chair for top international conferences such as AAAI, ACL, EMNLP, BIBM, and AMIA, an executive committee member of the CCF Bioinformatics Special Committee, and a member of the Biomedical Big Data Special Committee of the Chinese Society of Biotechnology. His awards include the IJCAI DCM Best Paper, ICIC Best Paper, and the first prize in the Intelligent Auxiliary Diagnosis Competition of the Chinese Medical Association. |
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Prof. Lei Wang, China University of Mining and Technology, China Lei Wang, male, holds a Ph.D. and is a professor, serving as a supervisor for both doctoral and master’s students. He completed his postdoctoral training at the Chinese Academy of Sciences and has been recognized as a provincial high-level talent, a provincial outstanding young talent, a provincial leading young talent, and a Western Young Scholar of the Chinese Academy of Sciences. His research primarily focuses on pattern recognition, big data analysis, large AI models, and bioinformatics. He has led over 10 research projects, including major national projects under the Ministry of Science and Technology, general projects and youth science fund projects of the National Natural Science Foundation of China, the Western Young Scholar Program of the Chinese Academy of Sciences, provincial outstanding youth projects, provincial key projects, provincial general projects, and China Postdoctoral Science Foundation projects. He has published more than 90 papers in journals ranked in the first tier of the Chinese Academy of Sciences, IEEE Transactions journals, and journals and conferences recommended by the China Computer Federation. Among these, over 70 are SCI-indexed papers as the first author or corresponding author, including 15 papers in top-tier journals of the Chinese Academy of Sciences and more than 10 papers in IEEE series journals. His work has been cited over 3,400 times on Google Scholar, with an H-index of 35. He serves as a reviewer for international journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, PLoS Computational Biology, Bioinformatics, Briefings in Bioinformatics, and Molecular Therapy. He is currently a member of the IEEE, the China Computer Federation, and the Bioinformatics Committee of the Jiangsu Society of Biotechnology. |  |
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