News

Satellites and satellites around the earth.

The Problem With GPS

Jan. 29, 2021
WNCG professor Todd Humphreys, an expert in GPS spoofing, is featured in a recent New York Times opinion piece on the nation's need for a GPS backup. Although the system is essential, it's also vulnerable. Read the full piece by Kate Murphy in The New York Times. 
Nasa's dragon spacecraft in space.

Todd Humphreys and Peter Iannucci Research to Improve Navigation using SpaceX Satellites

Sept. 29, 2020
WNCG professor Todd Humphreys and postdoctoral fellow Peter Iannucci of the Radionavigation Laboratory have developed a system using the constellation of SpaceX satellites to potentially deliver a low-cost, more accurate, and highly secure alternative to GPS. Their work was recently featured in the MIT Technology Review:
Satellites and satellites around the earth.

How Vulnerable is GPS?

Aug. 13, 2020
The New Yorker feature "How Vulnerable is GPS?" discusses WNCG professor Todd Humphreys' journey uncovering and demonstrating security weaknesses in the Global Positioning System. Humphreys is a pioneer in the the study of Global Navigation Satellite Systems. His research group was the first to demonstrate cm-accurate RTK positioning through a smartphone antenna, and in 2012 they demonstrated the first successful spoofing of UAVs. Since then, Humphreys has examined real-world instances of spoofing and jamming that raise serious concerns about the ubiquitous technology.
An image of a padlock with words written on it.

Prof. Joydeep Ghosh Gives Keynotes at WDDL2013 and DMH 2013

Sept. 3, 2013
Prof. Joydeep Ghosh of UT ECE was the keynote speaker at the inaugural Workshop on Divergences and Divergence Learning (WDDl), held in Atlanta, June 2013. In his talk, entitled "Learning Bregman Divergences for Prediction with Generalized Linear Models," which reflects joint work with ECE and WNCG student Sreangsu Acharrya,  an efficient approach to learning a broad class of predictive models was introduced. What is most remarkable about this approach is that model parameters can be estimated even when the loss function is unknown.