题目：Pushing the Limits of Real-Time Tracking in IoT
主讲人：杨磊，香港理工大学助理教授
日期：2019年10月18日（星期五）
时间：下午2:00 - 3:00
地点：数据科学与jbo竞博电竞官方网站 A201
主持：陈鹏飞副教授
摘要：
Radio Frequency IDentification (RFID) is a rapidly developing IoT technology which uses RF signals for automatic identification of objects. One of its most promising applications is to track the mobile objects accurately indoors. Many applications would benefit from high-precision tracking (cm- and mm-level). The underlying principle behind the tracking approaches is to regard each tag reading as one sampling of its trajectory, which imposes a tacit assumption; that is, the sampling (i.e. reading rate) must be sufficiently high-rated, precise, noise-free and stable. However, such strict condition cannot be always fulfilled all the time in practice. This talk revisits our efforts made in the past five years on the real-time tracking of mobile RFIDs with respect to the accuracy, speed, reliability and stability. I am also glad to share our on-going research and the future vision.
个人介绍：
Dr. YANG Lei is currently an Assistant Professor in Department of Computing from The Hong Kong Polytechnic University. Previously, he was a postdoc fellow in the School of Software, Tsinghua University. He received his B.S. and Ph.D. degrees from Xi’an Jiaotong University in 2004 and 2014 respectively. His research interests include the Internet of Things, mobile computing, wireless and backscatter communication. He is the recipient of the “Best Paper Award” at MobiCom’14, “Best Paper Award” at MobiHoc’14, “Best Video Award (Runner-up)” at MobiCom’16, “Best-In-Session Presentation Award” at INFOCOM’17, and “Best Demo Award (Runner-up)” at MobiCom’18. He is also the first Chinese scholar awarded the “ACM China Doctoral Dissertation Award”. So far, he has totally published around 50 papers at the leading conference and journals, such as TON, TMC, TPDS, MobiCom, INFOCOM, and so on, and received more than four million funds from GRF, NSFC and Industry.