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Research

Researchers Aim to Make Computer Networks Easier to Change on the Fly

UT Computer Science Professor Aditya Akella in blue button down shirt in front of limestone wall

08/04/2022 - It's hard to make changes to the software running on a computer network while it's in use—and that can make it harder to respond quickly to a cyberattack. The National Science Foundation has awarded a grant to computer scientists from Rice University, The University of Texas at Austin and the University of Washington to develop runtime programmable networks that can respond to real-time changes rapidly and without interruption of service.

Aditya Akella and Collaborators Earn Test of Time Award

UT Austin tower clock

06/29/2022 - The ACM Internet Measurement Conference 2010 research paper “Network Traffic Characteristics of Data Centers in the Wild”, written by UT Computer Science Professor Aditya Akella, along with collaborators Theophilus Benson and David A.

How the Intersection of Accessibility and Computer Science Leads to Inclusive Tech

Three people on an orange background. One man using a cain, a woman, and a person in a wheelchair.

05/09/2022 - This semester UT Computer Science welcomed Amy Pavel as a new assistant professor. Pavel's work sits at the intersection of accessibility and computer science. Her research at UT Austin expands on these themes by exploring how people with disabilities as well as those with different situations and preferences interact with emerging forms of media such as virtual reality and augmented reality.

Computer Science Researcher Aims to Automate Software Development

Isil Dillig

03/23/2022 - Isil Dillig is an associate professor of computer science who works to improve the security and reliability of software systems and automatically generate programs from high-level specifications. She received a Sloan Research Fellowship and an NSF CAREER award. Could you describe your main research interests?

Exploring Methods to Improve the Psychological Wellness of Content Moderators

03/07/2022 - When people think of content moderation, they usually imagine some kind of AI program that automatically monitors social media posts to delete inappropriate content. Though some content moderation is indeed performed by AI, a huge part of it is still done manually by people because moderation remains too difficult and nuanced for AI to perform well. In fact, over 100,000 content moderators work globally today to keep the internet safe for the rest of us.

AI Bests Expert Human Players at Video Game

race cars rounding corner on race track

02/23/2022 - An artificial intelligence system made history recently by beating a human world champion in Sony's popular video racing game, Gran Turismo Sport. The technological feat, which made the cover of the journal Nature, involved an AI system designed in part by three University of Texas at Austin computer science Ph.D. alumni and professor Peter Stone.

How Block Encodings are Optimizing Phase Estimation

02/10/2022 - In his recent paper, “Faster Coherent Quantum Algorithms for Faster Phase, Energy, and Amplitude Estimation”, UTCS PhD graduate Patrick Rall puts forth novel quantum algorithms for estimating important fundamental qualities of our complex world. Patrick’s approach simplifies the necessary computations compared to the current standard method. Estimation of these properties has applications in condensed matter physics and quantum chemistry as well as machine learning and finance.

Waters Named ACM Fellow by the Association for Computing Machinery

Brent Waters

01/20/2022 - The Association for Computing Machinery, the primary professional organization in the field of computer science, has named Brent Waters as an ACM Fellow. The award goes only to highly distinguished computer scientists representing the top 1% of ACM members.