KEYNOTE SPEAKERS |
Title: Physics-Informed AI for Smart IoT : A World Model Approach |
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Professor Junshan Zhang
Fellow of National Academy of Inventors, Fellow of the IEEE Editor-in-Chief, IEEE/ACM Transactions on Networking University of California Davis, USA |
Abstract |
To Be Announced |
Biography |
Junshan Zhang is a professor in the ECE Department at University of California Davis. He received his Ph.D. degree from the School of ECE at Purdue University in Aug. 2000, and was on the faculty of ASU from 2000 to 2021. His research interests fall in the general field of information/data science and ML/AI, including edge AI, reinforcement learning, self-supervised learning, world model, continual learning, network optimization and control, with applications in connected and automated vehicles, 5G and beyond, wireless networks, Internet of Things (IoT), and smart grid. He is fortunate to be one of the pioneering researchers in the areas of edge computing and edge AI, cross-layer optimization of wireless networks, and cooperative relaying.
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Title: To Be Announced |
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Professor Albert Y. Zomaya
Fellow of the IET, Fellow of the IEEE Fellow of the American Association for the Advancement of Science Editor-in-Chief, ACM Computing Surveys The University of Sydney, Australia |
Abstract |
To Be Announced |
Biography |
Albert Y. Zomaya is currently the Peter Nicol Russell Chair Professor of Computer Science and Director of the Centre for Distributed and High-Performance Computing in the School of Computer Science at the University of Sydney, Australia.Prior to that he was the Chair Professor of High Performance Computing & Networking (2008-2021). Professor Zomaya was an Australian Research Council Professorial Fellow during 2010-2014 and held the CISCO Systems Chair Professor of Internetworking during the period 2002–2007 and also served as the Head of School for 2006–2007.
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Title: To Be Announced |
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Professor Jiannong Cao
Dean of Graduate School, Member of Academia Europaea, Fellow of the IEEE Fellow of China Computer Federation, Chair Professor of Distributed and Mobile Computing The Hong Kong Polytechnic University, China |
Abstract |
To Be Announced |
Biography |
Prof. Cao is currently the Otto Poon Charitable Foundation Professor in Data Science and the Chair Professor of Distributed and Mobile Computing in the Department of Computing at The Hong Kong Polytechnic University (PolyU), Hong Kong. He is also the Dean of Graduate School, the director of Research Institute for Artificial Intelligence of Things (RIAIoT) in PolyU, the director of the Internet and Mobile Computing Lab (IMCL) . He was the founding director and now the director of PolyU's University's Research Facility in Big Data Analytics (UBDA). He served the department head from 2011 to 2017. Prof. Cao is a member of Academia Europaea, a fellow of the Hong Kong Academy of Engineering Science, a fellow of IEEE, a fellow of China Computer Federation (CCF) and an ACM distinguished member.
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Title: Pleno-Communication: a New Communication Paradigm for Smart IoT |
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Professor Dapeng Oliver Wu
Department of Computer Science City University of Hong Kong, China |
Abstract |
In the AI era, communication between intelligent devices such as smart IoT devices is expected to dominate the traffic in communication networks. The current communication infrastructure is not optimally designed for machine-to-machine communication. AI-enabled industries and applications, such as Industry 4.0, call for a new communication paradigm. To answer this call, we propose pleno-communication, which consists of three communication tiers for perception, cognition, and reaction, respectively. The proposed pleno-communication system transmits signals with high fidelity, concise semantic information, and mission-relevant information. In this talk, I will present our vision and design of the pleno-communication system. |
Biography |
Dapeng Oliver Wu received Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, PA, in 2003. Currently, he is Yeung Kin Man Chair Professor of Network Science, at the Department of Computer Science, City University of Hong Kong. His research interests are in the areas of artificial intelligence, communications, image processing, computer vision, signal processing, and biomedical engineering.
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Title: To Be Announced |
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Professor Salil Kanhere
Editor-in-Chief, Ad Hoc Networks Journal The University of New South Wales, Australia |
Abstract |
To Be Announced |
Biography |
Salil Kanhere is a Professor at the School of Computer Science and Engineering at UNSW Sydney, Australia. His research interests cover various aspects of cybersecurity, mobile computing, IoT, blockchain, and applied machine learning. He has published over 400 peer-reviewed articles and is leading several government and industry-funded research projects in these areas. He received the Friedrich Wilhelm Bessel Research Award (2020) and the Humboldt Research Fellowship (2014) from the Alexander von Humboldt Foundation in Germany, and has received 12 Best Paper Awards. He is an ACM Distinguished Member, an IEEE Senior Member, and an IEEE Computer Society Distinguished Visitor. He serves on the advisory board of three SMEs and has held visiting positions at RWTH Aachen, I2R Singapore, Technical University Darmstadt, the University of Zurich, and Graz University of Technology. Salil is the Editor in Chief of the Ad Hoc Networks journal and an Associate Editor of IEEE Transactions on Network and Service Management, Computer Communications, and Pervasive and Mobile Computing. He has served on the organising committees of several IEEE/ACM international conferences and is a steering committee member for IEEE LCN and IEEE ICBC. Salil has also co-authored two books. |
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