题目：Edge AI for Data-Intensive Internet of Things
主讲人：Guoliang Xing（Professor、The Chinese University of Hong Kong）
日期：2019年5月24日（星期五）
时间：下午2:30 - 3:00
地点：数据科学与jbo竞博电竞官方网站 A201
主持：吴维刚 教授
摘要：Internet of Things (IoT) represent a broad class of systems which interact with the physical world by tightly integrating sensing, communication, and compute with physical objects. Many IoT applications are data-intensive and mission-critical in nature, which generate significant amount of data that must be processed within stringent time constraints. It’s estimated that 0.75 GB of data can be produced by an autonomous vehicle each second. The existing Cloud computing paradigm is inadequate for such applications due to significant or unpredictable delay and concerns on data privacy.
In this talk, I will present our recent work on Edge AI, which aims to address the challenges of data-intensive IoT by intelligently distributing compute, storage, control and networking along the continuum from Cloud to Things. First, I will present ORBIT, a system for programming Edge systems and partitioning compute tasks among network tiers to minimize the system power consumption while meeting application deadlines. ORBIT has been employed in several systems for seismic sensing, vision-based tracking, and multi-camera 3D reconstruction. Second, I will briefly describe several systems we developed for mobile health, smart cities, volcano and aquatic monitoring, which integrate domain-specific physical models with AI algorithms. We have conducted several large-scale field deployments for these systems, including installing a seismic sensor network at two live volcanoes in Ecuador and Chile.
个人介绍：Guoliang Xing is currently a Professor in the Department of Information Engineering, the Chinese University of Hong Kong. Previously, he was a faculty member at Michigan State University, U.S. His research interests include Embedded AI, Edge/Fog Computing, Cyber-Physical Systems, Internet of Things (IoT), security, and wireless networking. He received the B.S. and M.S degrees from Xi’an Jiao Tong University, China, in 1998 and 2001, the D.Sc. degree from Washington University in St. Louis, in 2006. He is an NSF CAREER Award recipient in 2010. He received two Best Paper Awards and five Best Paper Nominations at several first-tier conferences including ICNP and IPSN. Several mobile health technologies developed in his lab won Best App Awards at the MobiCom conference and were successfully transferred to the industry. He received the Withrow Distinguished Faculty Award from Michigan State University in 2014. He serves as the General Chair for IPSN 2016 and TPC Co-Chair for IPSN 2017.