The Chandra Family Department of Electrical and Computer Engineering is proud to welcome the five newest members of the Academy of Distinguished Alumni. The inductees will be honored at an Academy dinner on November 8, 2024 in Austin, Texas.

Zhili Xiong, a Ph.D. student in Texas ECE, recently received the Best Paper Award at the 32nd IEEE International Symposium On Field-Programmable Custom Computing Machines (FCCM) for her work on "A Data-Driven, Congestion-Aware and Open-Source Timing-Driven FPGA Placer Accelerated by GPUs."

Three Texas ECE faculty, Ruochen Lu, Aryan Mokhtari, and Amy Zhang, have been selected to receive a Faculty Early Career Development (CAREER) Award from the National Science Foundation (NSF).

Cockrell School of Engineering faculty and alumni are playing critical roles in a startup that aims to use artificial intelligence to produce narrative short-form videos using libraries of existing, real-world footage.

Last Fall, Texas ECE launched a course on ASIC Design targeted towards next generation semiconductor workforce development in integrated circuit designs.

Jiaqi Gu has been named a recipient of an Outstanding Dissertation Award from The University of Texas at Austin Graduate School for his dissertation "Light-AI Interaction: Bridging Photonics and Artificial Intelligence via Cross-Layer Hardware/Software Co-Design."

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).