学术报告第201934期

报告题目: Signal Processing Approaches to Sensing without Sensors

报 告 人：刘向阳教授

报告时间：2019年6月6日13:00-14:00

报告地点：南一楼中311

Abstract: Human activity recognition is the core technology that enables a wide variety of applications such as elderly/health care, building surveillance, human-computer interaction, health care, smart homes, and fitness tracking. In this talk, we present our work on recognizing human activities using WiFi, acoustic, and RFID signals, respectively. Human bodies reflect wireless signals and different human activities cause different changes on wireless signals. Thus, by analyzing the changes in wireless signals, we can recognize the corresponding human activities that cause the changes. In this talk, I give an overview of our research results on this topic.

Biosketch: Alex X. Liu received his Ph.D. degree in Computer Science from The University of Texas at Austin in 2006, and is currently a Professor of the Department of Computer Science and Engineering at Michigan State University. He received the IEEE & IFIP William C. Carter Award in 2004, a National Science Foundation CAREER award in 2009, the Michigan State University Withrow Distinguished Scholar (Junior) Award in 2011, and the Michigan State University Withrow Distinguished Scholar (Senior) Award in 2019. He has served as an Editor for IEEE/ACM Transactions on Networking, and he is currently an Associate Editor for IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Mobile Computing, and an Area Editor for Computer Communications. He has served as the TPC Co-Chair for ICNP 2014 and IFIP Networking 2019. He received Best Paper Awards from SECON-2018, ICNP-2012, SRDS-2012, and LISA-2010. His research interests focus on networking, security, and privacy. He is a Fellow of the IEEE.