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 graduate student Peihao Wang has received a 2025 Google PhD Fellowship in Machine Learning and ML Foundations.

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.

A new cancer treatment combines LED light and tiny tin flakes to neutralize cancer cells while shielding healthy cells and avoiding the painful side effects associated with chemotherapy and other treatments

Professor Nina Telang and students BP Rimal and Sneha Ballabh designed and implemented an AI-driven virtual tutor that creates personalized learning experiences for first-year engineering students in EE 306, an introductory computing course with nearly 200 students.

A comprehensive new initiative at The University of Texas at Austin will prepare graduate students for leadership in the rapidly evolving field of quantum science and technology. Texas ECE professor Xiuling Li is the leader of the Q-CAT program.

Texas ECE assistant professor Neeraja Yadwadkar has been selected to receive an inaugural 2025 Google ML and Systems Junior Faculty Award in recognition of the significance and promise of their work in Cloud ML Systems.