News

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Recap: WNCG Hosts 16th Annual Texas Wireless Summit

Dec. 19, 2018
The Engineering Education and Research Center at The University of Texas was abuzz with over 200 participants gathered for Texas Wireless Summit (TWS) on November 6. This year’s theme was “AI and the Mobile Device.”Held annually by WNCG, TWS brings together leading figures in industry, academia, and government to discuss the latest developments in information systems technology. “AI and the Mobile Device” marked the 16th summit hosted by the group.“Every year we try to think about a theme that captures what’s most exciting in technology,” Prof.
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Join us for Texas Wireless Summit 2018!

Aug. 30, 2018
Registration is now open for WNCG’s 2018 Texas Wireless Summit! TWS will take place on November 6, 2018 at The University of Texas at Austin.  This year's event, “AI and the Mobile Device,” will focus on how machine learning, artificial intelligence, and some key applications will interact with wireless technology. The Summit will examine how Artificial Intelligence and Machine Learning (AI/ML) will simultaneously enhance connectivity as well as place demands on both devices and connectivity.
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Prof. Andreas Gerstlauer Receives NSF Grant For Research on Cyber-Physical Systems

Sept. 23, 2014
UT ECE Professor Andreas Gerstlauer has been awarded a grant by the National Science Foundation (NSF) for research on "Network-Level Design of Cyber-Physical Systems." Cyber-physical systems (CPS) are computer systems that are deeply embedded into their environment to continuously sense, act and interact with the physical world. A large part of the CPS promise in application areas such as healthcare, transportation or energy comes from networking of such deeply embedded, physically distributed devices. However, this also comes with fundamentally new design challenges.
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Prof. Andreas Gerstlauer Awarded $488K for CPS Research

Sept. 19, 2014
Cyber-Physical Systems (CPS) promise great advances to society in fields such as transportation and healthcare. CPS are computer systems that interact directly with the physical world, such as in robotics or self-driving cars. The challenge, according to WNCG Prof. Andreas Gerstlauer, is these systems must operate within tight constraints imposed by their physical environment. They must be able to complete tasks on time and with minimal overhead in a real-world environment.