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Neal Patwari

Neal Patwari

Assistant Professor
Department of Electrical and Computer Engineering
Adjunct, School of Computing
Director, Sensing and Processing Across Networks (SPAN) Lab








Contact

Address

University of Utah
Department of Electrical and Computer Engineering
50 S. Central Campus Drive, Room 3280
Salt Lake City, UT 84112-9206

Phone: (801) 581-5917
Fax: (801) 581-5281
Office: MEB 3120
Web: http://span.ece.utah.edu/
Schedule: Google Calendar
Email: npatwari@ece.utah.edu

Education

PhD - 2005 in Electrical Engineering at the University of Michigan, Ann Arbor. Dissertation: Location Estimation in Sensor Networks

MS - 1999 in Electrical Engineering in the Mobile and Portable Radio Research Group (MPRG) at Virginia Tech

BS - 1997 in Electrical Engineering at Virginia Tech

Industry Experience

Director of Research - 2009-present, Xandem Technology, Salt Lake City

Research Engineer - 1999-2001, Motorola Labs, Plantation, Florida

Teaching

Spring 2010, Fall 2011 - ECE 5325 / 6325: Wireless Communication Systems
Fall 2006, Fall 2008, Fall 2009 - ECE 5510: Random Processesi
Fall 2007, Fall 2010 - ECE 6962/6960: Advanced Random Processes and Applicationsi
Spring 2007, Spring 2008, Spring 2009, Spring 2012 - ECE 5520: Digital Communications

Awards

University of Utah Early Career Teaching Award, 2010-11

IEEE Signal Processing Society Best Magazine Paper Award, 2009

National Science Foundation CAREER Award, 2008

National Science Foundation Graduate Research Fellowship from the National Science Foundation, 1997-2005

Research Interests

I direct the research of the Sensing and Processing Across Networks (SPAN) lab. Our lab specializes in statistical signal processing applied to wireless networks. In particular, we study radio channel signal processing, that is, when the radio network is a sensor itself. We investigate how a network may use radio measurements to monitor itself, to locate the nodes in the network, to learn about physical environment in which it is deployed, to improve network security, and to improve the network deployment process. Research in the SPAN lab applies results from estimation and detection theory, radio propagation, and distributed signal processing.

More Information

Publications, educational materials from classes taught, announcements and news, graduate students, and ongoing research projects are available at the SPAN Lab website.