Developing an AI computing hub for HK: A High-performance Distributed Machine Learning Framework for Graph-based Streaming Data with Smart City Applications
In this seminar, a research team will share their work on their theme-based research project about developing an AI computing hub that supports and drives smart city applications in Hong Kong. Leveraging on a high-performance distributed machine learning framework for graph-based streaming data with smart city applications, Prof Chen Kai will introduce the project framework while Prof Hai Yang and Prof Cao Jiannong will dive deep into smart city applications on ride-sharing and urban resource management.
Kai Chen is an Associate Professor at CSE of HKUST. His areas of interest include data center networking, machine learning systems, and privacy-preserving computing. His work has been published in various top venues such as SIGCOMM, NSDI, INFOCOM and TON. He is the Steering Committee Chair of ACM Asia-Pacific Workshop on Networking.
Prof. Hai Yang is currently a Chair Professor at The Hong Kong University of Science and Technology. He is internationally known as an active scholar in the field of transportation, with more than 280 papers published in SCI/SSCI indexed journals and a SCI H-index citation rate of 63. Prof. Yang received a number of national and international awards, including 2020 Frank M. Masters Transportation Engineering Award and 2021 Francis C. Turner Award of American Society of Civil Engineers; National Natural Science Award bestowed by the State Council of PR China (2011). He was appointed as Chang Jiang Chair Professor of the Ministry of Education of PR China and served as the Editor-in-Chief of Transportation Research (TR) Part B: Methodological from 2013 to 2018, a prestigious journal in the field of transportation. Currently, Professor Yang serves on the Distinguished Editorial Board of TR Part B, Scientific Council of TR Part C: Emerging Technologies, and also serves as an Advisory Editor of Transportation Science.
Dr. Cao is 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. He is the Dean of Graduate School, Director of Research Institute for AIoT, director of Internet and Mobile Computing Lab and the associate director of University’s Research Facility in Big Data Analytics. He served as the department head from 2011 to 2017.
Dr. Cao’s research interests include parallel and distributed computing, wireless networking and mobile computing, big data and machine learning, and cloud and edge computing. He published 5 co-authored and 9 co-edited books, and over 500 papers in major international journals and conference proceedings. He also obtained 13 patents. Dr. Cao received many awards for his outstanding research achievements. He is a member of Academia Europaea, a fellow of IEEE, and a distinguished member of ACM. In 2017, he received the Overseas Outstanding Contribution Award from China Computer Federation.