Title: Building Generalizable AI Models for IoT Applications
报告题目：构建可泛化的智能物联网
报 告 人：李默博士，香港科技大学教授
报告时间：2025年4月22日16：00
报告地点：伟德betvlctor1946潇湘校区信息楼535
Abstract: AIoT provides opportunities to transcending state-of-the-art technologies in both AI and IoT. On one hand the unprecedented data scale and prevalence from IoT magnifies the AI power; on the other hand the machine intelligence from AI helps excel every aspect of sensing, computing, and communication in nowadays IoT systems. This talk will introduce our recent research efforts into devising generalizable AI models that seek to address fundamental challenges due to IoT data plethora, where unprecedented scale and prevalence of the IoT data sets obstacles for distilling, verifying, adapting, and transferring the machine learning processes across people and different cyber or physically engineered systems.
Bio: Dr. Mo Li is a Professor from Hong Kong University of Science and Technology. His research focuses on system aspects of wireless sensing and networking, IoT for smart cities and urban informatics. Dr. Li has been on the editorial board of IEEE/ACM Transactions on Networking, IEEE Transactions on Mobile Computing, and IEEE Transactions on Wireless Communications, all leading journals in the field. Dr. Li currently serves the Editor-in-Chief of ACM Transactions on Internet of Things. He also served the technical program committee member for major conferences in computer system and networking, including ACM MobiCom, ACM MobiSys, ACM SenSys, and many others. Dr. Li is a Distinguished Member of the ACM since 2019, and a Fellow of the IEEE since 2020.
