Faculty

11/25/2024 - Risto Miikkulainen, a renowned professor at UT Austin and the VP of AI Research at Cognizant Advanced AI Labs, recently shared fascinating insights in an article for AI Magazine about the game-changing potential of generative AI for machine learning researchers. He highlighted how this shift in technology is set to revolutionize not just research, but the entire landscape of work itself, urging everyone to embrace a tool that mimics the expertise of seasoned human professionals.

11/11/2024 - UT Computer Science Associate Professor Etienne Vouga has earned a 2024 Regents’ Outstanding Teaching Award for demonstrating extraordinary classroom performance and innovative teaching. Vouga is one of 12 recipients this year from across the University of Texas System.

10/18/2024 - UT Computer Science mourns the loss of Professor Emeritus E. Allen Emerson, winner of the most prestigious award in computer science and a faculty member in the Department of Computer Science at The University of Texas at Austin since the early 1980s, who died on October 15 after an extended illness."I'm very sad to learn of Allen's death, he was a good friend and a great scientist,” said Don Fussell, Chair of the Department of Computer Science. “His work was a huge step forward in the development of tools that help designers create systems with known, verifiable properties."

09/24/2024 - The job of building computer networks that train and run large AI models is becoming increasingly complicated because traditional network designs can’t operate at the higher speeds that the AI workloads require and need to be tuned to a variety of communication endpoints (such as CPUs, graphics processing units and AI accelerators) that have widely different characteristics, including data generation speeds. Moreover, AI workloads require advanced network monitoring capabilities to quickly diagnose and resolve performance bottlenecks.

09/18/2024 - The University of Texas at Austin has been selected to lead the NSF-Simons AI Institute for Cosmic Origins, a new $20 million research initiative focused on using AI to explore the universe’s biggest mysteries, from dark matter to the origins of life. Greg Durrett, Associate Professor of Computer Science at UT, is a co-investigator on this groundbreaking project, further cementing UT’s leadership in AI research.

08/30/2024 - Computer science professor Chandrajit Bajaj was recently awarded funding by the U.S. Army Futures Command’s University Technology Development Division (UTDD), in support of DEVCOM C5ISR, for game theory research to develop artificial intelligence systems. The project will utilize Dynamic Belief Games to train AI agents to be better planning and decision support tools for next-generation communications systems.

08/22/2024 - AUSTIN (KXAN) — Students heading back to school this semester are entering the classroom with a new tool that experts say could soon be as common as a calculator. “It’s a very useful tool, and students are going to have to know how to use that tool when they should use that tool when they shouldn’t use the tool,” said Greg Durrett, an associate professor in the Department of Computer Science at the University of Texas in Austin.

08/12/2024 - Are AI robots the future of sports? These UT students think soAustin (KXAN) — A team of UT students, led by Professor Peter Stone, recently triumphed at the RoboCup Home competition in the Netherlands, where their AI-powered robots autonomously played soccer. The students believe their research is paving the way for a future where robots can compete against humans in sports, revolutionizing the field of AI robotics.

08/09/2024 - The UT computer science lab, with faculty member Amy Pavel and recent graduate Tess Van Daele at the forefront, has developed an AI system called ShortScribe to enhance accessibility for visually impaired users of short-form videos on platforms like TikTok and Instagram Reels. Pavel, an assistant computer science professor and co-author of the research paper, explained that the system utilizes AI technologies such as Optical Character Recognition, Automatic Speech Transmission, and GPT-4 to segment videos, transcribe speech, and create detailed audio descriptions.

08/07/2024 - UT Computer Science is proud to announce that Professors Brent Waters and Hovav Shacham have both been honored with the prestigious Test-of-Time Award by the International Association for Cryptologic Research (IACR).