Nandini Clifford graduated from Texas ECE in 2009 with an MS in Electrical Engineering. We sat down with Nandini to learn more about what she is doing now and how Texas ECE helped lead to her success.

Prof. Radu Marculescu of Texas ECE is exploring machine unlearning for image-to-image generative models. He called the field a kind of “counterculture” in a field that is otherwise obsessively dedicated to adding information to get better results.

Texas ECE PhD student Souradip Poddar and Prof. David Pan were awarded first place at the Computer-Aided Design and Test (CADT 2024) poster competition sponsored by the Semiconductor Research Corporation (SRC).

David Burghoff plans to optimize measurements in astronomy, remote sensing and quantum information processing through a new Multidisciplinary University Research Initiative (MURI).

Prof. Nina Telang of the Chandra Family Department of Electrical and Computer Engineering has been awarded the 2024-2025 William David Blunk Memorial Professorship by The University of Texas at Austin.

Ian Anderson and Will Doyle of the Chandra Family Department of Electrical and Computer Engineering have been selected as recipients of 2024 NASA Space Technology Graduate Research Opportunities (NSTGRO).

Profs. Linran Fan and Aryan Mokhtari have been named recipients of 2024 Google Research Scholar Program Awards.

Texas ECE PhD student Joshua Campbell has been selected to receive a National Defense Science and Engineering Graduate Fellowship (NDSEG) from the Department of Defense.

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.