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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.

Prof. Lili Qiu and Students Win “Best Paper” Award at ACM MobiSys

Oct. 4, 2018
WNCG students Wenguang Mao and Mei Wang, along with their advisor, WNCG Professor Lili Qiu, won the “Best Paper” award at this year's ACM MobiSys, which took place over the summer in Munich, Germany. According to the conference website, MobiSys “seeks to present innovative and significant research on all aspects of mobile systems, applications, and services. The conference values technical contributions with working implementations and practical evaluations.” Mao, Wang and Qiu’s paper, titled “AIM: Acoustic Imaging on a Mobile,” was chosen from 40 papers accepted to the conference.
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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.