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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.

WNCG student Ahmed Kord won a 2018 Graduate Fellowship award from the IEEE Microwave Theory and Techniques Society (MTT-S) for his research on Magnetless Circulators for Full-Duplex Radios. Kord has been researching this topic at WNCG since 2015, advised by Prof. Andrea Alu. Their team hopes to develop “new concepts and circuit architectures for magnetless circulators based on spatio-temporal modulation (STM) of resonant three-port junctions.” In 2017, Kord won the IEEE MTT-S student design competition for a project on a related topic.

WNCG student Ahmed Kord recently won first place in the student design competition at the IEEE 2017 International Microwave Symposium held in Honolulu, Hawaii. Kord received the award, given by the IEEE Microwave Theory and Techniques Society, for his work entitled “Magnetless Parametric Circulator Design.” As first prize winner, Kord received a $2,000 award.

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.