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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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Intel, NEC, Western Digital Join WNCG Industrial Affiliates

May 15, 2018
This Spring, WNCG welcomes Intel, NEC, and Western Digital as the newest WNCG Industrial Affiliates Program members. All three companies enter as Level 2 members. Since WNCG’s founding, the Industrial Affiliates Program has played a vital role in the group’s success. It facilitates “cooperation and mutual assistance” between WNCG and Affiliate companies. This collaboration between academia and industry embodies the group’s mission to “support research, provide highly relevant education and opportunities, [and] promote technical innovation, imagination and entrepreneurship.”
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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.