时间： 2011年4月11日(星期一) 9:30am~11:30am
地点： 浙江大学信电楼215学术厅
Talk 1 : Large-scale Wireless Monitoring and Diagnosis
Speaker: Rong Zheng, Associate Prof., Dept of Computer Science, University of Houston, USA
Abstract:
Monitoring and diagnosis of large scale operational wireless networks are becoming a pertinent issue both because of the exponential growth of wireless devices and usage, as well as the increasing vulnerability due to complex interactions at various layers of the protocol stack. Faults, intrusions, anomalies in wireless domain could lead to denial of services of legitimate users and/or endanger the performance of safe critical applications. In this talk, we present our ongoing work on the design of wireless monitoring algorithms and systems with focus on learning and inference schemes for efficient channel allocation of wireless sniffers.
Bio:
Rong Zheng received her Ph.D. degree from Dept. of Computer Science, University of Illinois at Urbana-Champaign and earned her M.E. and B.E. in Electrical Engineering from Tsinghua University, P.R. China. She is on the faculty of the Department of Computer Science, University of Houston since 2004, currently a tenured associated professor.
Rong Zheng's research interests include network monitoring and diagnosis, cyber physical systems, and sequential learning and decision theory. She received the National Science Foundation CAREER Award in 2006. She serves on the technical program committees of leading networking conferences including INFOCOM, ICDCS, ICNP, etc; and was the program chair for the first ACM workshop on medical grade wireless networks. She served as a guest editor for EURASIP Journal on Advances in Signal Processing, Special issue on wireless location estimation and tracking, Elsevler’s Computer Communications – Special Issue on Cyber Physical Systems.
Talk 2: Compressive Collaborative Spectrum Sensing for Cognitive Radio
Speaker: Zhu Han, Assistant Professor, Electrical and Computer Engineering Department
Abstract
To increase spectrum utilization, cognitive radios can detect and share the unused spectrum. However, each cognitive radio can only scan a narrow band of spectrum, and the scan is time consuming. This bottleneck limits spectrum sensing in terms of bandwidth, speed, and accuracy. Aiming at breaking this bottleneck, we propose compressive collaborative spectrum sensing based on the recent technique of compressive sensing, which senses less and computes more. It lets a sensor acquire a signal, not by taking many samples, but rather by measuring a few incoherent linear projections. The sensor transmits the linear projections to a receiver, where the signal is reconstructed by an algorithm. For many applications, such a shift of resource demands from pre-transmission to post-transmission can be of great benefit. This is true for spectrum sensing, where the benefit is less and faster sensing at the cognitive radio nodes, as well as reduced transmission from these nodes to the fusion center.
Bio
Zhu Han received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electrical engineering from the University of Maryland, College Park, in 1999 and 2003, respectively. From 2000 to 2002, he was an R&D Engineer of JDSU, Germantown, Maryland. From 2003 to 2006, he was a Research Associate at the University of Maryland. From 2006 to 2008, he was an assistant professor in Boise State University, Idaho. Currently, he is an Assistant Professor in Electrical and Computer Engineering Department at University of Houston, Texas. In June-August 2006, he was a visiting scholar in Princeton University. In May-August 2007, he was a visiting professor in Stanford University. In May-August 2008, he was a visiting professor in University of Oslo, Norway and Supelec, Paris, France. In July 2009, he was a visiting professor in the University of Illinois at Urbana-Champion. In June 2010, he visited the University of Avignon, France. His research interests include wireless resource allocation and management, wireless communications and networking, game theory, wireless multimedia, and security. Dr. Han is an NSF CAREER award recipient 2010. Dr. Han has 2 best paper awards (ICC09 and Wiopt 09), and 4 NSF awards plus one DoD award.