 | Prof. Daqing Zhang (IEEE Fellow, Member of the Academia Europaea (MAE), CCF Distinguished Member)Peking University, China Daqing Zhang is a Chair Professor at Peking University and IP Paris. His research interests include ubiquitous computing, mobile computing, big data analytics and pervasive elderly care. He has published more than 400 technical papers in leading conferences and journals, with a citation of over 34800 and H-index of 96. He developed the OWL-based context model and Fresnel Zone-based wireless sensing theory, which are widely used by pervasive computing, mobile computing, wireless networks and service computing communities. He was the winner of the CCF TCPC Highest Science and Technology Award, the Ten Years CoMoRea Impact Paper Award at IEEE PerCom 2013, and the Ten Years Most Influential Paper Award at IEEE UIC 2019 and FCS 2023, the Best Paper Award Runner-up at ACM MobiCom 2022, the Distinguished Paper Award of IMWUT (UbiComp 2021), etc.. He is now in the editorial board of ACM IMWUT, ACM TOSN and CCF TPCI. Daqing Zhang is a Fellow of IEEE and Member of the Academy of Europe. Title: Preparing every home for Ageing-in-Place with ubiquitous and intelligent wireless sensing Abstract: With the ubiquitous deployment of Wi-Fi and 4G/5G infrastructure in each country, WiFi/4G/5G-based contactless sensing has become an ideal way for health and daily activity monitoring of elders in a non-intrusive manner, making every ordinary home suitable for Ageing-in-Place. In this work, I will introduce a series of WiFi/mmWave based vital sign and continuous daily activity monitoring systems for elders using home-owned WiFi/mmWave infrastructure. With the Wi-Fi sensing standard IEEE 802.11bf and 6G standard containing sensing capabilities rolling out soon, it’s expected that ubiquitous and intelligent wireless sensing will bring significant changes to sectors such as smart home, elderly care, health care and smart buildings. |
 | Prof. Weijia Jia (IEEE Fellow)Beijing Normal University, Institute of Artificial Intelligence and Future Networks, Zhuhai, China, China Prof. Weijia Jia is currently a Chair Professor at Beijing Normal-Hong Kong Baptist University and a Professor at Beijing Normal University (BNU), Zhuhai, Guangdong, China. He also serves as the Director of Joint BNU-BNBU Institute of Artificial Intelligence and Future Networking. Prior joining BNU/BNBU, he served as the Chair Professor and Deputy Director of the State Kay Laboratory of Internet of Things for Smart City at the University of Macau and Zhiyuan Chair Professor at the Shanghai Jiaotong University, PR China. He received BSc/MSc from Center South University, China in 1982-1984 and PhD from Polytechnic Faculty of Mons (now with the University of Mons), Belgium in 1991-1993, respectively; all in computer science. For 1993-1995, he joined German National Research Center for Information Science (GMD) in Bonn (St. Augustine), Germany as a research fellow. From 1995-2013, he worked in City University of Hong Kong as an Assit./Assoc./full professor. His contributions have been recognized as the theory and algorithms of AI (NLP in particular) optimal network routing and deployment, intelligent edge computing, vertex cover, anycast and multicast protocols, sensors networking, and knowledge relation extractions. He has over 500 publications in the prestige international journals/conferences (e.g. IEEE/ACM Transactions/journals, Infocom, AAAI etc.) and research books and book chapters. His current H-index is 67 (Google scholar, citations 15000+). He received the 1st Prize of Scientific Research Awards from the Ministry of Education of China in 2017 and many provincial science and technology awards. He has guided the students to attain 30+ top prizes in various top international conferences and AI competitions. Based on his research outcome and input into the system implementations, he received the best product awards from the International Science & Tech. Expo (Shenzhen, China) in the consecutive years of 2011 and 2012. He has served as area editor for various prestige international journals (e.g. IEEE Transactions on Parallel and Distributed Computing and Computer Communications), chair and PC member/keynote speaker for top international conferences. He has been recognized as Chinese National Expert and listed in 2020-2022 as Top 2% of life Scientists on Stanford List. He is the Fellow of IEEE and the Distinguished Member of China Computer Federation (CCF) Title: TBD Abstract: TBD |
 | Prof. Zheng Yan (IEEE Fellow, AAIA Fellow, IET Fellow, AIIA Fellow)Xidian University, China Zheng Yan is currently a Huashan distinguished professor at the Xidian University, China. She is an External Member of Finnish Academy of Science and Letters, a Fellow of IEEE, IET, AAIA, and AIIA. She also worked as a visiting professor and a Finnish Academy Fellow at the Aalto University, Finland for over seven years. Her research interests are in cyber trust, security, privacy, and data analytics. She has led 30+ projects, sponsored by EU, Academy of Finland, NSFC, MOST, telecom industry, etc. At the helm of a research team with 70+ members, she has supervised 180+ post-doctoral researchers and graduates. She has authored 450+ publications, with 300+ first and corresponding authorships, featured prominently in top-tier venues. 18 of them are top 0.1% or 1% highly-cited ESI papers. She is the sole author of two books on trust management, utilized in teaching for a decade. She invented 220+ patents, among which 150+ patents (including 83 independent international inventions) have been adopted by industry, a few of them have been incorporated into international standards and widely used in practice with billions of users. She has delivered 50+ invited keynote speeches and talks at international conferences and world-leading companies. Her Google Scholar citation is over 20,000 with an H-index of 71. Title: AI-empowered Trust and Trustworthy AI Abstract: While Artificial Intelligence (AI) is contributing to the advancement of human society, it also presents us with new challenges. Its trustworthiness is worthy of in-depth exploration. This talk elucidates the aids of AI for trust and indicates the problems of AI’s trustworthiness, especially potential attacks on AI and the factors that impact AI trust. I will summarize various attacks suffered by AI in its life cycle. In particular, I will introduce recent research achievements of my team, including ChatGPT-aided trust evaluation, GNN-based robust and context-aware trust evaluation models, Large Language Model’s trust problems, a stealthy and practical audio backdoor attack with limited knowledge. Finally, several insights are proposed regarding AI trust management. |
 | Prof. Shiqian Wu (IEEE Senior Member)Wuhan University of Science and Technology, China Dr Shiqian Wu received the B.Eng. and M.Eng. degrees from the Huazhong University of Science and Technology (HUST), Wuhan, China, in 1985 and 1988, respectively, and the Ph.D. degree from Nanyang Technological University, Singapore in 2001. He is currently a full Professor with School of Information Science and Engineering; Director, Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial Systems, Deputy Director, Institute of Robotics & Intelligent Systems (IRIS), Wuhan University of Science and Technology, Wuhan. From 2000 to 2014, he was a Research Fellow / Research Scientist with the Agency for Science, Technology and Research (A-STAR), Singapore. He has co-authored two books and more than 260 scientific publications (book chapters, journal/conference papers). He was listed as Most Cited Chinese Researchers in 2014~2021 by Elsevier. His research interests include computer vision, image processing, pattern recognition, intelligent robotics and artificial intelligence. Title: TBD Abstract: TBD |
 | Prof. Dongshu Wang (IEEE Senior Member)Zhengzhou University, China Dongshu Wang, Ph.D., Doctoral supervisor, Professor in School of Electrical and Information Engineering, Zhengzhou University, visiting scholar of Department of Computer Science and Engineering, Michigan State University. He is mainly engaged in the research of robot autonomous mental development, machine learning, artificial intelligence, brain-inspired computing, and intelligent control of robot. He has presided over and participated in 4 projects of the National Natural Science Foundation, participated in 2 projects of the National Key Research and Development Plan of the Ministry of Science and Technology, presided over 4 provincial scientific research projects and participated in more than 10 enterprise cooperation projects. As the first author and corresponding author, he has published more than 70 SCI/EI papers in well-known journals, such as IEEE TNNLS, IEEE TCDS, IEEE TAI, IEEE TITS, Information Sciences, Pattern Recognition, Control Theory and Applications, Control and Decision, etc, including 9 long articles in IEEE Transactions, H-index 18, 5000+ cited papers. Title: TBD Abstract: TBD |