Prof. Lizy John has been elected a fellow of the American Association for the Advancement of Science (AAAS), the world’s largest general scientific society.

This is not a video game fantasy, but a real program that engineers at The University of Texas at Austin have created as part of research into brain-computer interfaces to help improve the lives of people with motor disabilities. More importantly, the researchers incorporated machine learning capabilities with their brain-computer interface, making it a one-size-fits-all solution.

Yipeng Wang, a PhD student in Texas ECE, has been honored with the 2023-2024 Predoctoral Achievement Award by the IEEE Solid-State Circuits Society (IEEE SSCS) during the ISSCC 2024 conference.

A new master’s degree program at The University of Texas at Austin will help fill the demand for semiconductor scientists and engineers and give students a chance to lead the next wave of innovation in the booming semiconductor industry.

Iris Mok graduated from Texas ECE in 2003 with an MS in Electrical Engineering. In celebration of Women's History Month, we sat down with Iris to learn more about what she is doing now and how Texas ECE helped lead to her success.

The four-year, $2.4 million grant from the National Institute of Diabetes and Digestive and Kidney Diseases, supports the researchers’ plan to develop a system to detect detailed information on eating motions, potentially every bite and chew.

Texas ECE alum Jimmy Mahon and Texas ECE student Siddharth Thakur developed FireBot, an unmanned ground vehicle that can be deployed into burning buildings, in place of firefighters, for rescue operations.

Amit Zavery graduated from Texas ECE in 1993 with a BS in Electrical Engineering. We sat down with Amit to learn more about what he is doing now and how Texas ECE helped lead to his success.

Cockrell School of Engineering professor Bob Metcalfe has been honored by The Franklin Institute with the 2024 Benjamin Franklin Medal in Electrical Engineering for his “pioneering role in the design, development, and commercialization of Ethernet, an interface for networking and file sharing between computers.”

UT is launching the Center for Generative AI, powered by a new GPU computing cluster, among the largest in academia. The cluster will comprise 600 NVIDIA H100s GPUs — short for graphics processing units, specialized devices to enable rapid mathematical computations, making them ideal for training AI models.