News

Texas Wireless Summit 2019: Connectivity and Sensing at the Human-Machine Frontier will take place on November 12, 2019 at The University of Texas at Austin. Registration for the Summit is only days away from opening on August 12.

TWS 2019 co-organizers Edison Thomaz and Nanshu Lu have announced the theme of this year’s Summit: Connectivity and Sensing at the Human-Machine Frontier. The event will highlight advances and opportunities at the intersection of human-centered computing, sensing and connectivity. Sessions and panels will focus on wearables, virtual and mixed reality, bio-interfaces, and perception. We will explore the challenges and demands of the communication infrastructure required to support and enhance devices and experiences. WNCG will host the event on November 12, 2019.

WNCG will host the 17th Texas Wireless Summit (TWS) on November 12, 2019.  Planning for TWS has just begun, but you can expect an exciting list of high-profile industry and academia speakers, as in previous Summits. Past events have typically been attended by more than 350 leading members of industry and academia each year.

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.

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.