Thank you to the following supporters of ICASSP 2007
Zhi-Quan Luo and Georgios B. Giannakis, University of Minnesota
Recent technological advances have led to the emergence of small, low-power, and possibly mobile devices with limited on-board processing and wireless communication capabilities. When deployed in large numbers, these devices have the ability to form an intelligent network which can measure aspects and identities of the physical environment in unprecedented scale and precision. Such sensor networks can be employed in situation awareness applications such as environmental monitoring (air, water, and soil), smart factory instrumentation, military surveillance, precision agriculture, intelligent transportation and space exploration, to name a few. To fully exploit the potential of sensor networks, it is essential to take advantage of power and bandwidth efficient communications and signal processing algorithms which can be implemented in a distributed manner.
Responding to the growing interest on wireless sensor networks, this tutorial will provide a comprehensive overview of the state-of-the-art with emphasis on the unique features, challenges and research directions tailored to a signal processing audience. A by-product of the tutorial will be to enhance the interdisciplinary links between signal processing, communications and networking communities.
The contents of the proposed tutorial are follows:
Graduate students, researchers and engineers with general interests in Wireless Sensor Networks, Communications and Signal Processing as well as specific interests in distributed signal processing, power scheduling, and data compression aspects of sensor networks. The background needed is that of an M.Sc. Degree holder or commensurate experience with random processes, linear algebra, statistical signal processing, detection-estimation, and basic information theory and coding concepts.
Zhi-Quan (Tom) Luo (F’07) received the B.Sc. degree in Mathematics from Peking University, China, in 1984. During the academic year of 1984 to 1985, he was with Nankai Institute of Mathematics, Tianjin, China. From 1985 to 1989, he studied at the Operations Research Center and the Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, where he received the Ph.D. degree in Operations Research. In 1989, he joined the Department of Electrical and Computer Engineering, McMaster University, Hamilton, Canada, where he became a professor in 1998, the department head in 2000 and held the Canada Research Chair in Information Processing since 2001. Since April of 2003, he has been with the Department of Electrical and Computer Engineering at the University of Minnesota (Twin Cities) as a full professor and holds an endowed ADC Chair in digital technology. His research interests lie in the union of optimization algorithms, data communication and signal processing. Prof. Luo serves on the IEEE Signal Processing Society Technical Committees on Signal Processing Theory and Methods (SPTM), and on the Signal Processing for Communications (SPCOM). He is a corecipient of the 2004 IEEE Signal Processing Society’s Best Paper Award, and has held editorial positions for several international journals including Journal of Optimization Theory and Applications, Mathematics of Computation, and IEEE Transactions on Signal Processing. He currently serves on the editorial boards for a number of international journals including SIAM Journal on Optimization, Mathematical Programming, and Mathematics of Operations Research.
Georgios B. Giannakis (F’97) received his Diploma in Electrical Engineering from the Ntl. Tech. Univ. of Athens, Greece, 1981. From 1982 to 1986 he was with the Univ. of Southern California (USC), where he received his MSc. in Electrical Engineering, 1983, MSc. in Mathematics, 1986, and Ph.D. in Electrical Engineering, 1986. Since 1999 he has been a professor with the ECE Department at the University of Minnesota, where he now holds an ADC Chair in Wireless Telecommunications. His general interests span the areas of communications, networking and statistical signal processing – subjects on which he has published more than 250 journal papers, 400 conference papers, two edited books, and two upcoming research monographs on Space-Time Coding for Broadband Wireless Communications (Wiley 2006) and Ultra-Wideband Wireless Communications (Cambridge Press 2007). Current research focuses on diversity techniques, complex-field and space-time coding, multicarrier, cooperative wireless communications, cognitive radios, cross-layer designs, mobile ad hoc and wireless sensor networks. G. B. Giannakis is the (co-) recipient of six paper awards from the IEEE Signal Processing (SP) and Communications Societies including the G. Marconi Prize Paper Award in Wireless Communications. He also received Technical Achievement Awards from the SP Society in 2000, from EURASIP in 2005, a Young Faculty Teaching Award and the G.W. Taylor Award for Distinguished Research from the University of Minnesota. He served as Editor in Chief for the IEEE SP Letters, as Associate Editor for the IEEE Trans. on Signal Proc. and the IEEE SP Letters, as member of the SP Conference Board, the SP Publications Board, the Statistical Signal and Array Processing Technical Committee, as chair of the SP for Communications Technical Committee and as a member of the IEEE Fellows Election Committee. He has also served as a member of the IEEE-SP Society’s Board of Governors, the Editorial Board for the Proceedings of the IEEE and the steering committee of the IEEE Trans. on Wireless Communications. He has delivered plenary and tutorial talks in many IEEE Conferences.