Keynote Speaker 1
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| Prof. James Tin-Yau KWOK, The Hong Kong University of Science and Technology, Hong Kong (IEEE Fellow) |
James Kwok is a Professor in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology. He is an IEEE Fellow. Prof Kwok received his B.Sc. degree in Electrical and Electronic Engineering from the University of Hong Kong and his Ph.D. degree in computer science from the Hong Kong University of Science and Technology. He then joined the Department of Computer Science, Hong Kong Baptist University as an Assistant Professor. He returned to the Hong Kong University of Science and Technology and is now a Professor in the Department of Computer Science and Engineering. He is serving / served as an Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems, Neural Networks, Neurocomputing, Artificial Intelligence Journal, International Journal of Data Science and Analytics, and an Action Editor of Machine Learning. He is also serving as Senior Area Chairs of major machine learning / AI conferences including NeurIPS, ICML, ICLR, IJCAI, and as Area Chairs of conferences including AAAI and ECML. He is on the IJCAI Board of Trustees. He is recognized as the Most Influential Scholar Award Honorable Mention for "outstanding and vibrant contributions to the field of AAAI/IJCAI between 2009 and 2019", and an inaugural Highly Ranked Scholar by ScholarGPS. Prof Kwok is the IJCAI-2025 Program Chair and PAKDD-2026 General Chair. |
Keynote Speaker 2
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| Prof. Huanhuan Chen, University of Science and Technology of China, China (IEEE Fellow) |
Huanhuan Chen (IEEE Fellow), is a professor in School of Computer Science, University of Science & Technology of China (USTC), Hefei, China. He received the B.Sc. degree from USTC, Hefei, China, in 2004, and Ph.D. degree, sponsored by Dorothy Hodgkin Postgraduate Award, in computer science at the University of Birmingham, Birmingham, UK, in 2008. He worked in University of Birmingham and University of Leeds in the UK from 2008 to 2012, respectively. His PhD thesis "Diversity and Regularization in Neural Network Ensembles" has received 2011 IEEE Computational Intelligence Society Outstanding PhD Dissertation award (the only winner) and 2009 CPHC/British Computer Society Distinguished Dissertations Award (the runner up). His work “Probabilistic Classification Vector Machines” on Bayesian machine learning published in IEEE Transactions on Neural Networks, has been awarded as IEEE Transactions on Neural Networks Outstanding 2009 Paper Award (bestowed in 2012, and only one paper in 2009 receive this award). In 2015, Dr. Chen received the International Neural Network Society (INNS)Young Investigator Award in 2015 for his significant contributions in the field of Neural Networks.His research interests include computational intelligence, statistical machine learning, data fusion, neural networks, Bayesian inference and evolutionary computation, etc. |
Keynote Speaker 3
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| Prof. Benjamin W. Wah, The Chinese University of Hong Kong, Hong Kong (IEEE Fellow) |
Benjamin W. Wah is currently the Provost and Wei Lun Professor of Computer Science and Engineering of the Chinese University of Hong Kong. He also serves as the Chair of the Research Grants Council of Hong Kong. Before then, he served as the Director of the Advanced Digital Sciences Center in Singapore, as well as the Franklin W. Woeltge Endowed Professor of Electrical and Computer Engineering and Professor of the Coordinated Science Laboratory of the University of Illinois, Urbana-Champaign, IL. He received his Ph.D. degree in computer science from the University of California, Berkeley, CA, in 1979. He has received a number of awards for his research contributions, which include the IEEE CS Technical Achievement Award (1998), the IEEE Millennium Medal (2000), the IEEE-CS W. WallaceMcDowell Award (2006), the Pan Wen-Yuan Outstanding Research Award (2006), the IEEE-CS Richard E. Merwin Award (2007), the IEEE-CS Tsutomu Kanai Award (2009), and the Distinguished Alumni Award in Computer Science of the University of California, Berkeley (2011). Wah's current research interests are in the areas of big data applications and multimedia signal processing. Wah cofounded the IEEE Transactions on Knowledge and Data Engineering in 1988 and served as its Editor-in-Chief between 1993 and 1996, and is the Honorary Editor-in-Chief of Knowledge and Information Systems. He currently serves on the editorial boards of Information Sciences, International Journal on Artificial Intelligence Tools, Journal of VLSI Signal Processing, and World Wide Web. He has served the IEEE Computer Society in various capacities, including Vice President for Publications (1998 and 1999) and President (2001). He is a Fellow of the AAAS, ACM, and IEEE. |
Keynote Speaker 4
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| Assoc. Prof. Ting Wang, East China Normal University, China |
I am an associate professor at the Software Engineering Institute of ECNU, with the Shanghai Key Laboratory of Trustworthy Computing and the Engineering Research Center of Software/Hardware Co-design Technology and Application,Ministry of Education. I am leading the Intelligent Computing and Networking (ICN) Research Group, and our research mainly focuses on Datacenter Networking, Machine Learning Systems, AI-driven Intelligent Networking, Fog/Edge Computing and Cloud Computing. I obtained my Eng.Msc degree in Computer Infomation System Engineering from Warsaw Unviersity of Technology, Poland (sponsered by China Scholarship Council) in 2011 under the supervision of Prof. Jacek Wojciechowski, and my Ph.D. degree in Computer Science and Engineering from HKUST in 2015 under the supervision of Prof. Mounir Hamdi (IEEE Fellow). Prior to joining ECNU in 2020, I worked at the Bell Labs as a research scientist from 2015 to 2016, and at Huawei as a senior engineer from 2016 to 2020. |




