Jaydeep Kulkarni, associate professor in the Chandra Family Department of Electrical and Computer Engineering, has been elevated to a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) for 2026 for "for contributions to low-power SRAM and compute-in-memory circuit technologies."
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Jeff Andrews, professor in the Chandra Family Department of Electrical and Computer Engineering at The University of Texas at Austin, has been selected as the winner of the 2025 IEEE Communications Society Communication Theory Technical Committee (CTTC) Technical Achievement Award for "contributions to the analysis and design of wireless cellular communication systems.”
A new smartwatch, being developed by researchers from The University of Texas at Austin and North Carolina State University, will enable continuous monitoring of blood pressure, a key indicator of heart health.
A year-long collaboration yields a unique performance that combines dance with next-generation sensing capabilities.'
A new study from the University of Texas at Austin, Texas A&M, and Purdue University shows that large language models fed a diet of popular but low-quality social media content experience a kind of “brain rot” that may be familiar to anyone who has spent too long doomscrolling on X or TikTok.
David Burghoff, an assistant professor in the Chandra Family Department of Electrical and Computer Engineering at The University of Texas at Austin, has been awarded a 2025 Defense Advanced Research Projects Agency (DARPA) Young Faculty Award (YFA).
Debjyoti Chatterjee, a Ph.D. student in the Chandra Family Department of Electrical and Computer Engineering at The University of Texas at Austin, received the IEEE Transactions on Power Electronics (TPEL) First Place Paper Award.
Yale Patt has been awarded the prestigious 2025 Okawa Prize by the Okawa Foundation for Information and Telecommunications. Patt was honored for “pioneering and outstanding research in high-performance microprocessor architectures, especially involving instruction level parallelism, superscalar processor design, and high accuracy branch prediction.”
Researchers in the Chandra Family Department of Electrical and Computer Engineering at The University of Texas at Austin have demonstrated a breakthrough in transistor design that reduces leakage current in very small geometry transistors by more than a factor of 10.
Fifteen University of Texas at Austin students have been named Amazon AI Ph.D. Fellows. Supported through Amazon’s nationwide fellowship program, these students are advancing research in machine learning, computer vision, natural-language processing and more.
