Prof. Ali Yilmaz of Texas ECE has been named the 2020 recipient of the Intel Outstanding Researcher Award for his research on "Reduced‐Domain Layered‐Medium Integral‐Equation Methods for Efficient EM Simulation of Full‐Scale Electronic Packages."
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A paper published by Texas ECE alumnus Onur Mutlu and his PhD advisor Yale Patt along with Jared Stark and Chris Wilkerson has received the HPCA Test of Time Award from the IEEE Computer Society Technical Committee on Computer Architecture.
Prof. August Shi of Texas ECE has been awarded the ACM SIGSOFT Outstanding Dissertation for his Dissertation “Improving Regression Testing Efficiency and Reliability via Test-Suite Transformations.”
Prof. Shwetadwip Chowdhury of Texas ECE has been named a Fellow for the new Scialog initiative, Advanced Bioimaging, by the Research Corporation for Science Advancement.
We sat down with alumna Dr. Temiloluwa O. Prioleau (BSEE, 2010) to discuss her career in electrical and computer engineering.
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.
Texas ECE PhD students Rasha El-Jaroudi and Matthew Faw have been selected as 2020-2021 recipients of UT NXP Foundation Fellowship awards. The NXP Foundation Fellowship program provides one-year fellowships to support third or fourth year PhD students pursuing research in machine learning, artificial intelligence, millimeter wave radar and advanced
More recently, robots are being used for essential functions in the patient-care setting. Take for example Moxi, built by Texas-based Diligent Robotics.
John, a professor in Texas ECE and director of the Laboratory for Computer Architecture, is being honored for "contributions to the design, modeling and benchmarking of computer architectures."
Dr. Atlas Wang is part of a research team that has developed a novel energy-efficient method for training DNNs, based on so-called ‘Early-Bird’ (EB) tickets, called an ‘EB Train.’
