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Professor Alan Bovik and his research team were recognized for algorithms that optimize streaming media at the 72nd Annual Technology & Engineering Emmy® Awards. While winners were announced earlier this year, the awards were presented in a virtual ceremony livestreamed on November 4. The team included WNCG alumni Kalpana Seshadrinathan, Rajiv Soundararajan, and Hamid Sheikh; all three researchers completed doctoral programs at the University of Texas at Austin, where they were advised by Bovik. 

The National Academy of Television and Arts & Sciences has awarded Alan Bovik, professor in the Cockrell School of Engineering at The University of Texas at Austin, and his team of student collaborators with a 2020 Technology & Engineering Emmy® Award. The team will be recognized for algorithms that optimize streaming media to millions of homes around the globe.

The Television Academy announced today that Alan Bovik, professor in the Cockrell School of Engineering at The University of Texas at Austin, and his team of former students and collaborators will be honored with a 2015 Primetime Engineering Emmy Award for Outstanding Achievement in Engineering Development. The team will be recognized for their development of an advanced algorithm that enhances the video viewing experiences for tens of millions of people throughout the world. 

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.