As students, faculty, and staff prepare to return to campus for the fall semester, a key concern is making the university as safe as possible and properly tracking health data to prevent outbreaks. An interdisciplinary team of researchers and students, including Texas Computer Science (TXCS) undergraduate students Rohit Neppali, Anshul Modh, Viren Velacheri, and Ph.D. student Anibal Heinsfeld, developed the Protect Texas Together app to help track and mitigate the spread of COVID-19 on the Forty Acres.

Texas Computer Science (TXCS) Professor Keshav Pingali has been elected as a foreign member of the Academia Europaea, an internationally-recognized organization dedicated to advancing scholarship across the world.

There’s an (albeit cliché) saying that says that two heads are better than one. Unsurprisingly, this idiom extends to artificial agents. In the field of AI, researchers have been working to understand how to make independent agents, who may have different goals, work together in an environment to complete a shared task.

Original story by Marc G Airhart, College of Natural Sciences

Story by Cason Hunwick for the College of Natural Science's News Page. 

University of Texas at Austin computer science researcher Kristen Grauman was selected as a finalist for the 2020 Blavatnik National Awards for Young Scientists.

The paper titled “The BLIS Framework: Experiments in Portability” recently received the 2020 SIAM Activity Group on Supercomputing Best Paper Prize. Among the authors of this paper are TXCS professor Dr.

On Sat, 22 Feb 2020, the UT Programming Team competed in the ICPC North America Championship (NAC) in Atlanta, Georgia, hosted by Georgia Tech.

Most websites that we use every day are database applications, which means that they involve software that interacts with an underlying database. As these websites evolve to meet the demands of their users, so must the software and the database schema, i.e., the model that determines the layout of the data. This process is extremely time-consuming and error-prone, because developers not only need to transform the data, but also re-implement all the affected parts of the application.

The race to build the best autonomous cargo vehicle is heating up, indicating big developments for the $700 billion U.S. trucking market. With the rise of e-commerce comes the accompanying need for more efficiently delivered goods, a demand that the transportation industry is not currently equipped to cope with. Self-driving trucks could solve this problem by simultaneously decreasing the cost and increasing the safety of freight transport.