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Faculty

Shacham Receives NSF Grant for Cybersecurity Research

UT Computer Science Professor Hovav Shacham

11/10/2021 - The National Science Foundation (NSF) has announced four new flagship funding awards through the Secure and Trustworthy Cyberspace (SaTC) program, including for a project focused on securing web browser operations led by Hovav Shacham, professor of computer science at the University of Texas at Austin.

Alison Norman Selected by Alumni to Receive the Alcalde's Texas 10 Award

Alison Norman, MS ’06, PhD ’10 Associate Professor of Instruction, Department of Computer Science | Years at UT: 10

05/05/2021 - Each year, the Alcalde asks alumni to vote for their favorite professors: the teachers who inspired them and helped make their college experience unforgettable. This year UTCS professor Alison Norman is among these Texas 10. Read the full article, Introducing the 2021 Texas Ten, to learn more about Alison Norman and the other 2021 Texas Ten.

Professors Qixing Huang and Joydeep Biswas Awarded NSF Career Award

Professors Joydeep Biswas and Qixing Huang

04/15/2021 - The National Science Foundation’s CAREER award is a prestigious award presented by the National Science Foundation (NSF) to early-career faculty who have showcased potential as academic role models and have shown excellence in their role as teacher-scholars. The award is given once every year and recipients receive a federal grant for research and education activities.

Bridging the Gap Between Industry and Academia

Illustration of automated car driving down three lane road, sensing cars around it.

01/14/2021 - UT Austin collaborates with Bosch to drive automated research Texas Computer Science has recently launched a collaborative research partnership sponsored by Bosch to explore new frontiers of research on reinforcement learning for automated driving. The partnership was envisioned by Professor Peter Stone of the UTCS faculty and Dr. Kay Stepper, the Senior VP who oversees Bosch’s automated driving efforts in North America.

Tech Startup Powered by Two Computer Science Professors Teams Up with Intel

A visual representation of a graph containing epidemiological data.

11/10/2020 - Industry analysts say that more data has been collected in the past two years than in all of human history combined. Data about what we buy, what we watch, where we go and who our friends are is constantly being collected and stored. Analyzing all that data and gaining insights from it is the hard part.  

Mission Accomplished

Anna Hiss Gym Ribbon Cutting

11/05/2020 - UT Austin is committed to working with the U.S. military to identify and prioritize research that can quickly be adapted to help protect and defend the nation’s interest.

Artificial Intelligence Revs Up Evolution’s Clock (Audio)

Hyenas mobbing a lion

10/14/2020 - Evolutionary biologists never have enough time. Some of the most mysterious behaviors in the animal kingdom—like parenting—evolved over thousands of years, if not longer. Human lifespans are just too short to sit and observe such complex behaviors evolve. But computer scientists are beginning to offer clues by using artificial intelligence to simulate the life and death of thousands of generations of animals in a matter of hours or days. It's called computational evolution.

TXCS Research Team Wins 2020 PointNav Challenge

Illustration of a room and all of the items in it as obstacles to navigate around.

08/31/2020 - A team comprising Texas Computer Science (TXCS) Ph.D. student Santhosh Ramakrishnan, postdoctoral researcher Ziad Al-Halah, and TXCS Professor Kristen Grauman recently won first place in the 2020 Habitat visual navigation challenge held at the Conference on Computer Vision and Pattern Recognition (CVPR).

UT Austin Selected as Home of National AI Institute Focused on Machine Learning

Image from Philipp Krähenbühl's Object Detection Research

08/26/2020 - The National Science Foundation has selected The University of Texas at Austin to lead NSF AI Institute for Foundations of Machine Learning, bolstering the university’s existing strengths in this emerging field. Machine learning is the technology that drives AI systems, enabling them to acquire knowledge and make predictions in complex environments. This technology has the potential to transform everything from transportation to entertainment to health care.