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.'

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.

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).

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.

Texas ECE Ph.D. student Peihao Wang was named a Rising Star in Data Science by Stanford Data Science.

A research team led by Professor Radu Marculescu and PhD student Md Mostafijur Rahman in the Chandra Family Department of Electrical and Computer Engineering have made great strides in the medical imaging community with a string of influential papers that dramatically improve the efficiency and accuracy of AI-powered image segmentation.