Publicado em: 11/10/2013

Prof. Mos Kaveh da IEEE Signal Processing Society ministra palestras no INF

No dia 30 de outubro, o professor Mos Kaveh, representante e ex-Presidente da IEEE Signal Processing Society (2008-2009, 2010-2011), agraciado com a IEEE Signal Processing Society 2000 Society Award por seu pioneirismo e contribuições fundamnentais para o avanço das áreas de processamento de sinais e comunicações móveis (mais alta distinção concedida aos seus 15,000+ membros), realizará duas palestras no Anfiteatro do Instituto de Informática da UFRGS.

As palestras serão abertas à comunidade em geral.

12h:30min :História da IEEE Signal Processing Society e Tendências Signal Processing Everywhere—a Historical Perspective Abstract
Signal processing techniques and technologies are truly ubiquitous in the devices and services that we take for granted in this age of information. The Field of Interest (FOI) of the IEEE Signal Processing Society http://www.signalprocessingsociety.org/about-sps/scope-mission/ succinctly describes the fundamental components and aims of what is, and likely to be in the foreseeable future, broadly defined as signal processing. This statement also highlights the blurred lines and convergence of approaches with a number of other fields such as computing, information theory, communications and networking, and machine intelligence. This talk will provide a perspective on the history of the development of modern signal processing as manifested in the growth and technical diversification of the IEEE Signal Processing Society. A number of examples are provided to illustrate the trends in the field and some likely future directions made possible by developments in sensing, computational and communication technologies, and opportunities ranging from entertainment to grand challenge problems in energy and health care.

14h:30min : Array signal processing – redes wireless – (palestra técnica)
Abstract
Sensor arrays have been used in a variety of sensing and communications applications. The spatial dimension can be utilized for user separation and improved reception through the placement of multiple antenna elements at the receiver and/or the transmitter and appropriate signaling when possible. Further, the ubiquity of wireless transmitters has provided the opportunity for location-based services, mobile localization in emergencies, and localization of unwanted or illegal transmitters. This presentation provides an overview of basic techniques for processing multi-element signals for localization and for processing to effect interference reduction or for increased diversity. A number of techniques are reviewed for direction finding, including some recent results in the use of sparse models for such purpose. The challenge of wireless localization in urban environments is considered and ideas that exploit the complexity of the propagation channel for localization are presented.

Biographical Sketch for M. Kaveh
Mos Kaveh received his B.S. and PhD degrees from Purdue University in 1969 and 1974, respectively, and his M.S. degree from the University of California at Berkeley in 1970 all in electrical engineering. He has been at the University of Minnesota since 1975, where he is a professor in the Department of Electrical and Computer Engineering, and from 1990 to May 2005 was the Head of that department. He currently serves as the Associate Dean for Research and Planning for the University of Minnesota’s College of Science and Engineering. Kaveh’s teaching and research interests are in the areas signal and image processing with applications to wireless communications, sensing systems, and biomedicine. Dr. Kaveh served as the President of the IEEE Signal Processing Society 2010-11. His other volunteer leadership positions in the Signal Processing Society include service as the Vice-President of Awards and Membership, 2003-2005, Vice-President for Publications, 1993-1996, and General Chair of ICASSP93.. He is a Fellow of the IEEE and the AAAS, and recipient of several best paper and other professional awards, including the 2000 Society Award from the IEEE Signal Processing Society, and a 2002 Purdue University Outstanding Electrical and Computer Engineer Award.

Mos Kaveh Past-President, IEEE Signal Processing Society
Professor of Electrical and Computer Engineering
Associate Dean for Research and Planning, College of Science and Engineering
University of Minnesota
Minneapolis, MN 55455, USA
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