美国福德汉姆大学（Fordham University, USA）Md Zakirul Alam Bhuiyan博士学术报告通知
撰稿人：冯光辉 发布时间：2019年10月16日 17:00
题目: Leveraging Wi-Fi Signals for Human Identification and Activity Monitoring
报告人: Md Zakirul Alam Bhuiyan博士，美国福德汉姆大学（Fordham University, USA）
Currently, wireless radio signals are omnipresent and are around us; some pass through us and some reflect off us. Tracking these signals gives the limit of ISM band radiometric detection to a new level, including our motion detection, gesture recognition, etc. In this talk, we will focus on answers to questions, without interrupting the data communication, how can radio signals be leveraged passively for various sensing tasks. For example, just raise your hand and finger-swipe into the air, your lights will power down; swipe your hand left-to-right, your TV channel will be changed; just tap your mobile screen to see your heartbeat. More importantly, can we imagine the signal features can also be leveraged to identify humans, which is, in other words, can be called biometric? These can be easily done through our smart device (such as phone, pad) or router device by their Wi-Fi signals from a remote place. These need no additional sensing devices. We will highlight our preliminary's work on how Wi-Fi can be utilized to identify humans and discuss some basic methods and challenges of how Wi-Fi signals are leveraged.
Md Zakirul Alam Bhuiyan, PhD (M'09-SM'17), is currently an Assistant Professor of the Department of Computer and Information Sciences at the Fordham University, NY, USA. the Founding Director of Fordham Dependable and Secure System Lab (DependSys). Earlier, he worked as an Assistant Professor at Temple University. His research focuses on dependability, cybersecurity, big data, and IoT/CPS Applications. His work (including 35+ JCR Q1 papers) in these areas published in top-tier venues, such as IEEE (TC, TPDS, TDSC, TII, COMMAG, IoT-J, T-ITS), ACM (TOSN, TAAS, CS), Elsevier (INF, INS, JSA, JNCA, FGCS, ACCESS), and so on. He has served as a guest/associate editor for IEEE (TII, TBD, TCC, IoT-J), ACM (TOMM, TCPS), Elsevier (INS, FGCS, JNCA, JPDC), and so on. Several works of Dr. Bhuiyan have been recognized as “ESI Highly Cited Papers” (since 2018) and two works have been recognized as the “Hot Papers” in the Computer Science field. He has received numerous awards, including the IEEE TCSC Early Career Researcher, the IEEE Outstanding Leadership Award, and IEEE Service Award. He has served as an organizer, general chair, program chair, workshop chair, and TPC member of various international conferences, including IEEE (INFOCOM, ICCCN, COMSAC). He is a senior member of IEEE and a member of ACM.