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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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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. 

Baccelli Co-Organizes Workshop on Stochastic Processes and Communication Science

Nov. 5, 2013
In August, WNCG Professor Francois Baccelli co-organized a workshop at the Issac Newton Institute for Mathematical Sciences in Cambridge (UK) with Venkat Anantharam (Berkeley), Sergey Foss (Heriot-Watt) and Peter Glynn (Stanford). The workshop was titled Stochastic Processes and Communication Science. The workshop was focused on probabilistic techniques for the analysis of networks, with central applications in communications, social networks and energy systems. The meeting concentrated around three major mathematical themes: stochastic networks, big data analysis, spatial stochastic models.