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



  • Ph.D., Electrical Engineering, University of Michigan
  • M.S., Electrical Engineering, Virginia Tech
  • B.S., 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. (1997) and M.S. (1999) degrees from Virginia Tech, and the Ph.D. from the University of Michigan, Ann Arbor (2005), all in Electrical Engineering. He was a research engineer in Motorola Labs, Florida, between 1999 and 2001.  Since 2006, he has been at the University of Utah, where he is an Associate Professor in the Department of Electrical and Computer Engineering, with an adjunct appointment in the School of Computing and Department of Bioengineering.  He directs the Sensing and Processing Across Networks (SPAN) Lab, which performs research at the intersection of statistical signal processing and wireless networking.  Neal is also the Director of Research at Xandem Technology, which develops security and home automation products based on radio sensing technologies spun out of the SPAN lab. Neal 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.  His is a co-author on two papers with Best Paper Awards, at IEEE SenseApp 2012 and IPSN 2014.   He has served on technical program committees for ACM and IEEE conferences Mobicom, IPSN, SECON, EWSN, ICDCS, DCOSS, ICC, RTAS, CNS, ICCCN, and MILCOM.  

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.