Keynote Speakers
(Alphabetize by Last Name)
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Prof. Pingyi Fan |
Dr. Pingyi Fan is a professor of the Department of Electronic Engineering of Tsinghua University. He received Ph.D. degree at the Department of Electronic Engineering of Tsinghua University in 1994. From 1997 to 1999, he visited the Hong Kong University of Science and Technology and the University of Delaware in the United States. He also visited many universities and research institutes in the United States, Europe, Japan, Hong Kong and Singapore. He has obtained many research grants, including national 973 Project, 863 Project, mobile special project and the key R&D program, national natural funds and international cooperation projects. He has published more than 190 SCI papers (more than 130 IEEE journals), and 4 academic books. He also applied for more than 30 national invention patents, 5 international patents and. He won seven best paper awards of international conferences, including IEEE ICC2020 and Globecom 2014, and received the best paper award of IEEE TAOS Technical Committee in 2020, the excellent editor award of IEEE TWC (2009), etc. He has served as the editorial board member of several Journals, including IEEE and MDPI. He is currently the editorial board member of Open Journal of Mathematical Sciences, the deputy director of China Information Theory society, the co-chair of China's 6G-ANA TG4, and the chairman of Network and Communication Technology Committee of IEEE ChinaSIP. His current research interests are in 6G wireless communication network and machine learning, semantic information theory and generalized information theory, big data processing theory, intelligent network and system detection, etc.
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Prof. Guan Gui |
Guan Gui (Fellow, IEEE) received a Ph.D. degree from the University of Electronic Science and Technology of China, Chengdu, China, in 2012. From 2009 to 2014, he joined Tohoku University as a research assistant and a postdoctoral research fellow, respectively. From 2014 to 2015, he was an Assistant Professor at the Akita Prefectural University, Akita, Japan. Since 2015, he has been a professor at Nanjing University of Posts and Telecommunications, Nanjing, China. His recent research interests include intelligence sensing and recognition, intelligent signal processing, and physical layer security. Dr. Gui has published over 200 IEEE Journal/Conference papers and won several best paper awards, e.g., ICC 2017, ICC 2014, and VTC 2014-Spring. His contributions to intelligent signal analysis and wireless resource optimization have earned him the title of Fellow of the IEEE, IET, and AAIA. He received the IEEE Communications Society Heinrich Hertz Award in 2021, top 2% scientists of the World by Stanford University in 2021-2023, the Clarivate Analytics Highly Cited Researcher in Cross-Field in 2021-2023, the Highly Cited Chinese Researchers by Elsevier in 2020-2023, the Member and Global Activities Contributions Award in 2018, the Top Editor Award of IEEE Transactions on Vehicular Technology in 2019, the Outstanding Journal Service Award of KSII Transactions on Internet and Information System in 2020, the Exemplary Reviewer Award of IEEE Communications Letters in 2017, the 2012 Japan Society for Promotion of Science (JSPS) Postdoctoral Fellowships for Foreign Researchers, and the 2018 Japan Society for Promotion of Science (JSPS) International Fellowships for Overseas Researchers. He was also selected as the Jiangsu Specially-Appointed Professor in 2016, the Jiangsu High-level Innovation and Entrepreneurial Talent in 2016, and the Jiangsu Six Top Talent in 2018. Since 2022, he has been a Distinguished Lecturer of the IEEE Vehicular Technology Society. He is serving or served on the editorial boards of several journals, including IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology. In addition, he served as the IEEE VTS Ad Hoc Committee Member in AI Wireless, General Co-Chair of EAI MOBIMEDIA 2024, General Co-Chair of ICN2024, General Co-Chair of GAIIS 2024, TPC Chair of IoTML 2024, TPC Chair of FAIML 2024, Executive Chair of IEEE ICCT 2023, Workshop Chair of LANTINCOM2023, TPC Chair of PRAI 2022, TPC Chair of ICGIP 2022, Executive Chair of VTC 2021-Fall, Vice Chair of WCNC 2021, TPC Chair of PHM 2021, Symposium Chair of WCSP 2021, General Co-Chair of Mobimedia 2020, TPC Chair of WiMob 2020, Track Chairs of EuCNC 2021 and 2022, VTC 2020 Spring, Award Chair of PIMRC 2019, and TPC member of many IEEE international conferences, including GLOBECOM, ICC, WCNC, PIRMC, VTC, and SPAWC.
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Prof. Tongliang Liu |
Tongliang Liu is the Director of Sydney AI Centre (which has 11 academic staff and 100+ PhD students) and an Associate Professor in machine learning at The University of Sydney, Australia; a Visiting Scientist of RIKEN AIP, Tokyo, Japan; an Affiliated Professor with Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates; a Visiting Professor with University of Science and Technology of China, Hefei, China. Before joining The University of Sydney in 2017, he was a Lecturer at University of Technology Sydney. He is also leading the Trustworthy Machine Learning Lab (TML Lab) at The University of Sydney, which hosts, attracts, and connects the best global talents to develop trustworthy machine learning techniques and tools, which are explainable, robust, fair, causally responsible, and privacy-preserving. Our mission is to make machines trustworthy, which is a foundation for our society to develop and deploy artificial intelligence to improve our lives.
Tongliang Liu has published more than 200 papers at leading ML/AI conferences and journals. According to CS Rankings, he has been ranked as the first in machine learning in Australasia. He received the Outstanding Research Contribution Award from the Computing Research and Education Association of Australasia, CORE Inc., in 2024, IEEE AI's 10 to Watch Award from the IEEE Computer Society in 2023, Eureka Prize shortlist for Emerging Leader in Science from Australian Museum in 2023, Future Fellowship Award from Australian Research Council (ARC) in 2022, Faculty Early Career Research Excellence Award at The University of Sydney in 2021, the Top-40 Early Achievers by The Australian in 2020, and the Discovery Early Career Researcher Award (DECRA) from ARC in 2018. He also received multiple faculty awards, e.g., from OPPO and Meituan. Tongliang is also very proud of his talented students, who have made/are making/will make significant contributions to advancing science. They have also been recognised by many awards, e.g., Google PhD Fellowship Awards.
He is a Co-Editor-in-Chief of Neural Networks. He is a Senior Area Chair of NeurIPS and ICLR. He is regularly the meta-reviewer of ICML, NeurIPS, ICLR, UAI, IJCAI, and AAAI. He is an Associate Editor of IEEE TPAMI, ACM Computing Surveys, and TMLR, and on the Editorial Board of Journal of Machine Learning Research and the Machine Learning journal.
Part of Previous Speakers
(Alphabetize by Last Name)Prof. Pingyi Fan
Tsinghua University, China
Prof. David Greenhalgh
University of Strathclyde, UK
Prof. Jianbin Qiu
Harbin Institute of Technology, China
IEEE Fellow
Prof. Mohamad Sawan
Chair Professor, Westlake University, Hangzhou, China
Emeritus Professor, University of Montreal, Canada
IEEE Fellow
Fellow of the Royal Society of Canada (FRSC)
Fellow of the Canadian Academy of Engineering (FCAE)
Prof. Jiangzhou Wang
University of Kent, UK
IEEE Fellow, IET Fellow
Fellow of the Royal Academy of Engineering, UK (FREng)
International Member of the Chinese Academy of Engineering
Prof. Xianbin Wang
Western University, Canada
IEEE Fellow
Fellow of the Canadian Academy of Engineering (FCAE)
Fellow of the Engineering Institute of Canada (FEIC)
Prof. Kun Yang
University of Essex, UK
IEEE Fellow, IET Fellow, ACM Distinguished Member
Member of Academia Europaea (MAE)
Prof. Lie-Liang Yang
University of Southampton, UK
IEEE Fellow, IET Fellow, AAIA Fellow
Prof. Shuanghua Yang
University of Reading, UK
IET Fellow, IEEE Senior Member
Prof. Pingyi Fan
Tsinghua University, China
Prof. Pingyi Fan from Tsinghua University, China delivered his keynote speech titled "Advances of Digital Image Lossless Compression and Its Applications in Semantic Communications"
Prof. David Greenhalgh
University of Strathclyde, UK
Prof. David Greenhalgh from University of Strathclyde, UK delivered his keynote speech titled "Convergence Criteria for Genetic Algorithms"
Prof. Jianbin Qiu
Harbin Institute of Technology, China
Prof. Jianbin Qiu from Harbin Institute of Technology, China delivered his keynote speech titled "Adaptive Output-Feedback Boundary Control of Distributed Parameter Systems"
Prof. Mohamad Sawan
Westlake University, Hangzhou, China
University of Montreal, Canada
Prof. Mohamad Sawan from Westlake University, Hangzhou, China and University of Montreal, Canada delivered his keynote speech titled "Intelligent Closed-loop Systems to Recover Neurodegenerated Functions"
Prof. Jiangzhou Wang
University of Kent, UK
Prof. Jiangzhou Wang from University of Kent, UK delivered his keynote speech titled "Near-field Communications and Sensing Technology"
Prof. Xianbin Wang
Western University, Canada
Prof. Xianbin Wang from Western University, Canada delivered his keynote speech titled "6G: Beyond Communications Capabilities, Enabling Technologies, and Emerging Vertical Applications"
Prof. Kun Yang
University of Essex, UK
Prof. Kun Yang from University of Essex, UK delivered his keynote speech titled "AI-enabled Self-driving Communication Networks"
Prof. Lie-Liang Yang
University of Southampton, UK
Prof. Lie-Liang Yang from University of Southampton, UK delivered his keynote speech titled "6G Physical-Layer Multiplexing Signaling"
Prof. Shuanghua Yang
Western University, Canada
Prof. Shuanghua Yang from University of Reading, UK delivered his keynote speech titled "Accident identification and localization for water distribution networks"