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
E-mail: 
Background
PhD - 2005 in Electrical Engineering at the University of Michigan, Ann Arbor
Dissertation: Location Estimation in Sensor Networks
Research Engineer - 1999-2001 in the Florida Communications Research Lab in Motorola Labs, Plantation, Florida
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
Teaching
Spring 2009 - ECE 5520: Digital Communications
Fall 2008, Fall 2006 - ECE 5510: Random Processes
Fall 2007 - ECE 6962: Advanced Random Processes and Applications
Spring 2007, Spring 2008 - ECE 5520: Digital Communications
Awards
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
Information about Publications, Teaching, News and Events, SPAN Lab People, Public Data Sets and Tools, are available on the SPAN Lab Website.