Neal Patwari
  • Associate Professor, Elect & Computer Engineering, University of Utah
  • Adjunct Associate Professor, Bioengineering, University of Utah



  • Ph.D. 2005, Electrical Engineering, University of Michigan
  • M.S. 1999, Electrical Engineering, Virginia Tech
  • B.S. 1997, Electrical Engineering, Virginia Tech

Honors & Awards

  • Best Paper Award. ACM/IEEE Information Processing in Sensor Networks (IPSN 2014), 04/2014
  • 2012 Best Paper Award. IEEE SenseApp, 08/25/2012
  • 2012 Teaching Award. UofU ECE, 08/2012
  • Early Career Teaching Award. University of Utah, 04/2011
  • 2009 IEEE Signal Processing Society Best Magazine Paper Award. IEEE Signal Processing Society, 04/2009
  • CAREER Award. National Science Foundation, 02/2008


Neal Patwari received the B.S. and M.S. degrees from Virginia Tech, in 1997 and 1999, respectively, and the Ph.D. degree from the University of Michigan, Ann Arbor, in 2005, all in electrical engineering.

He was a research engineer with Motorola Laboratories, FL, between 1999 and 2001. In 2006, Prof. Patwari joined the Electrical and Computer Engineering Department at the University of Utah in Salt Lake City where he is now an Associate Professor with an adjunct appointment in the School of Computing. He directs the Sensing and Processing Across Networks (SPAN) Laboratory, which performs research at the intersection of statistical signal processing and wireless networking.

Dr. Patwari received the NSF CAREER Award in 2008, the 2009 IEEE Signal Processing Society Best Magazine Paper Award, and the 2011 University of Utah Early Career Teaching Award, the 2012 ECE Department Teaching Award and the 2012 IEEE SenseApp Best Paper Award. He has served on technical program committees for IEEE conferences SECON, IPSN, ICDCS, DCOSS, ICC, RTAS, WoWMoM, ICCCN, and MILCOM. He is an Associate Editor of the IEEE Transactions on Mobile Computing.

In the Media

  • "Calling for help may soon get a little bit easier for the elderly", NSF Science 360 Video, by Dena Headlee. 11/04/2013.
  • "A New Way to Detect Accidental Falls", The Institute (IEEE), by Monica Rosenfeld. 10/21/2013.
  • Wireless Fall Detector: A report on sensors that alert emergency staff when the elderly fall'', BBC World Service, Click (Radio Broadcast). 10/09/2013.
  • "Fallen And Can't Get Up? These New Sensors Have Already Sounded The Alarm", Fast Company, by Jessica Leber. 09/12/2013.
  • "5 Ideas That Will Blow Your Mind", Inc., by Maeghan Ouimet. 10/31/2012.
  • "Wi-Fi signals may be used to track your movement inside your house," Gizmodo, by Kelly Hodgkins. 09/28/2011.
  • "Wireless network can monitor breathing rates," InformationWeek, by Nicole Lewis. 09/22/2011.
  • "University of Utah develops a wireless network that monitors breathing rates," PCWorld, by Kevin Lee. 09/22/2011.
  • Mike Salvatorelli, Wall Street Journal WSJ This Morning, 26:05 through 26:55. 09/21/2011.
  • "Wireless network could monitor breathing," CNET News, By Elizabeth Armstrong Moore. 09/20/2011.
  • ``Researchers use wireless network to monitor breathing, could save lives,'' Engadget, by Amar Toor. 09/19/2011.
  • “Beyond X-ray Vision,” Discover Magazine, by Nick Zautra, April, 2010. 2010.
  • "Looking beyond: A cheap way of using small radios to see inside buildings," The Economist, London, print edition, Oct 17, 2009, page 96. Retrieved Oct. 17, 2009 from 10/17/2009.
  • "New uses for radio showing up at U," Deseret News, Salt Lake City, by Wendy Leonard, Oct. 12, 2009. Retrieved from . 10/12/2009.
  • "U of U team uses radio waves to look through walls," KSL TV, Salt Lake City, October 4th, 2009 @ 5:45pm, By John Hollenhorst. Online: . 10/04/2009.
  • Kim Zetter, "Wireless Network Signals Produce See-Through Walls," Wired, Threat Level, October 2, 2009, 1:35 pm, Online: 10/02/2009.
  • "Researchers see through walls with wireless mesh," Ars Technica, John Timmer, October 1, 2009, 6:57 PM CT. Online: . 10/01/2009.