Speaker: Xin Liu

Date: Mar 5, 11:45am–12:45pm

Abstract: The rapid expansion of IoT technology is revolutionizing a wide array of applications, from smart homes and transportation to logistics, significantly enhancing our daily life quality. By 2030, it is projected that each individual will interact with between 300 to 500 IoT devices daily. However, enabling seamless and efficient collaboration among a vast number of IoT devices presents significant challenges, including spectrum efficiency, network latency, security and privacy, and dependency on batteries. In this talk, we’ll (1) briefly introduce our latest research efforts aimed at enhancing spectrum efficiency, reducing network latency, and ensuring security and privacy in IoT systems, (2) highlight our progress in developing battery-free IoT sensing systems that utilize WiFi, LTE, and LiFi for communication, and (3) discuss future research directions that require collaborative and interdisciplinary efforts from various academic and industry sectors, especially in the fields of 6G+ technologies and autonomous applications.

Biographical Sketch: Xin Liu is a postdoctoral researcher in the NSF AI-EDGE Institute at Ohio State University. He received his Ph.D. degree in computer engineering from the University of Maryland, Baltimore County. He is broadly interested in wireless sensing, communication, network and security with incorporation of AI/ML. His research has yielded more than 15 publications in premium conferences and journals including SIGCOMM, NSDI, USENIX Security, CCS, SenSys, MobiSys, INFOCOM, TON, and TOSN. He also served as a reviewer for several journals and the Artifact Evaluation Committee for SIGCOMM.

Location and Zoom link: 307 Love, or https://fsu.zoom.us/j/94783202970?pwd=SkYwaER2YTZXdDdWWHZldFhmaDhEQT09