News

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Bovik and Team Recognized at 72nd Annual Technology & Engineering Emmy® Awards

Nov. 5, 2021
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. 
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Al Bovik Recognized for Algorithms that Optimize Video Streaming

Jan. 29, 2021
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.
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WNCG Receives Huawei Award for Best Collaboration

Sept. 6, 2016
WNCG Profs. Gustavo de Veciana and Jeff Andrews recently received an award for Best Collaboration with the wireless group at Huawei. This international award goes to a funded university collaboration the company deems most impactful from among their offices and partner institutions worldwide.   “We are very pleased to accept this award,” Prof. de Veciana states. “The experience of working with engineers at Huawei has been very rewarding and fun.”   The collaborative research project concerned the study of new scheduling policies for next generation wireless systems.
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Prof. Alan Bovik and Team Win Emmy Award for Video Quality Tool

Sept. 30, 2015
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.