News

Yifan Jiang, a PhD student in the Chandra Family Department of Electrical and Computer Engineering at The University of Texas at Austin, has been named a recipient of a 2023 Apple Scholars in AI/ML PhD fellowship. The Apple Scholars in AI/ML PhD fellowship recognizes the contributions of researchers in computer science and engineering at the graduate and postgraduate level. Apple Scholars in AI/ML are selected based on their innovative research, record as thought leaders and collaborators, and commitment to advancing their respective fields.

Four faculty members at The University of Texas at Austin have been named to the National Academy of Inventors’ 2023 class of Senior Members. The honorees include three faculty members from the Cockrell School of Engineering and one from the College of Natural Sciences. They are Jennifer Maynard, Jason McLellan, Delia Milliron and Sriram Vishwanath.

Texas ECE and Institute for Foundations of Machine Learning (IFMl) postdoc Shiwei Liu along with Prof. Atlas Wang and the Visual Informatics Group received the Best Paper Award at the Learning on Graphs (LoG) 2022 Conference for their paper “You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets.” LoG is a new annual research conference that covers areas broadly related to machine learning on graphs and geometry, with a special focus on review quality.

Texas ECE PhD student Dejia Xu has been selected to receive a Snap PhD Fellowship. The Snap Research Fellowship program is designed to foster a strong collaboration between Snap Research and the brightest, most driven graduate computer science students across the world. Snap Research recognized 12 PhD students with Fellowships for 2022.

Al Bovik, professor in the Chandra Family Department of Electrical and Computer Engineering in the Cockrell School of Engineering at The University of Texas at Austin, has been elected a Fellow of the National Academy of Inventors (NAI). Election to NAI Fellow status is the highest professional distinction accorded solely to academic inventors.

Al Bovik and the Laboratory for Image and Video Engineering (LIVE) are the recipient of a BaM (“Bammy”) Award® from the International Trade Association for Broadcast & Media Technology, in December 2022, for "perceptual picture quality algorithms and databases for streaming and social media." BaM Awards® are given to “any product that is recognized by the judging panel is not just an innovative solution but is genuinely important to the market and sets the standard in its category.”

Constantine Caramanis, professor in the Chandra Family Department of Electrical Engineering in the Cockrell School of Engineering at The University of Texas at Austin, has been elevated to Fellow of the Institute of Electrical and Electronics Engineers (IEEE) for 2023. Caramanis was honored "for contributions to robust statistics and optimization in high dimensions."

PhD candidate Yuqiang (Ethan) Heng and Prof. Jeff Andrews have received the Best Paper Award at the IEEE Global Communications Conference 2022 (Globecom) for their paper "Grid-less mmWave Beam Alignment through Deep Learning." 

Andreas Gerstlauer and Lizy John, professors in the Chandra Family Department of Electrical and Computer Engineering at The University of Texas at Austin, have received a research award from Meta for their work on "Creating a Dataset for ML-Guided Chip Design."

Published at Dell Medical School Visionaries Your brain can be taught to signal a computer. If José del R. Millán has his way, brain-computer interfaces will one day make wheelchairs obsolete. Ten years after his stroke, a man paralyzed from the waist down starts “walking,” operating an exoskeleton with his mind. Researchers led by José del R. Millán, Ph.D., study the electrical activity of the man’s brain indicating when he wants to use the robot to take a right step versus a left one.