Student Award

UT ECE Graduate Student Ping-Chun Li Receives MRS Graduate Student Award

UT ECE Graduate Student Ping-Chun Li Receives MRS Graduate Student Award

Ping-Chun Li, a graduate student researcher in Prof. Edward Yu’s group was recently selected as a recipient of a Material Research Society (MRS) Graduate Student Silver Award at the 2014 MRS Spring Meeting in San Francisco, CA. Ping-Chun Li received his award for his presentation titled "Large-Area, Flexible, Wavelength-Selective Three-Dimensional Optical Metasurface."

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UT ECE Graduate Student Bei Yu Receives Chinese Government Award

UT ECE Graduate Student Bei Yu Receives Chinese Government Award

UT ECE PhD student Bei Yu has been named a recipeient of a Chinese Government Award for Outstanding Self-Financed Students Abroad. This is a highly competitive national award given to Chinese students who study abroad not directly sent by Chinese government, which number more than 200,000 in the US alone. Out of these hundreds of thousands of students worldwide, only up to 500 receive this prestigious recognition. 

Bei Yu will be recognized at a ceremony at the Chinese Consulate General in Houston and be presented aith a plaque and a $6,000 monetary prize.

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UT ECE Graduate Student Bei Yu Wins Silver Medal at ACM Student Research Competition

UT ECE Graduate Student Bei Yu Wins Silver Medal at ACM Student Research Competition

UT ECE Graduate Student Bei Yu won the Silver Medal at the ACM Student Research Competition – Graduate Track, held at the 32nd IEEE/ACM International Conference on Computer Aided Design (ICCAD). Bei Yu is supervised by Prof. David Z. Pan.

The ACM Student Reserach Competition is sponsored by Microsoft Research, and is an internationally recognized competition involving research orojects from all areas of design automation.

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UT ECE Graduate Student Chenchen Li Wins FEKO Student Competition

UT ECE Graduate Student Chenchen Li Wins FEKO Student Competition

UT ECE graduate student Chenchen Li recently won first prize in the 2013 FEKO Student Competition. Chenchen's research was "motivated by significant concerns in the radar community about the rapidly growing number of wind farms.  These concerns arose from the time-varying radar clutter caused by wind turbines that can interfere with radar detection and tracking operations.  Chenchen pointed out in his entry that it is important to understand the dynamic radar signatures from wind turbines in order to devise mitigation approaches."

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