Faculty

Why is CGI in the Movies Still So Hard?

College of Natural Sciences | Point of Discovery

As the summer movie season kicks into high gear, we talk with a scientist about some of the challenges in simulating the way everyday objects behave on the big screen through computer generated imagery (CGI). Etienne Vouga's computer simulations have helped bring to life a wizard's hair in The Hobbit and clothing in Tangled.

New Method of Producing Random Numbers Could Improve Cybersecurity

With an advance that one cryptography expert called a "masterpiece," University of Texas at Austin computer scientists have developed a new method for producing truly random numbers, a breakthrough that could be used to encrypt data, make electronic voting more secure, conduct statistically significant polls and more accurately simulate complex systems such as Earth's climate.

Lorenzo joins academy of distinguished teachers

Lorenzo AlvisiLorenzo Alvisi has been selected as one of just seven new members of The University of Texas at Austin's Academy of Distinguished Teachers for his sustained and significant contributions to education. Lorenzo will be part of a central core of teachers who serve as a resource and aim to be an inspiration for other teachers, and promote a sense of

David Zuckerman's award from the Simons Foundation

David Zuckerman has been selected as a Simons Investigator in Theoretical Computer Science. David's research focuses primarily on pseudorandomness and the role of randomness in computing. He is best known for his work on randomness extractors and their applications. His other research interests include coding theory, distributed computing, cryptography, inapproximability, and other areas of complexity theory.

Chandrajit Bajaj Selected as SIAM Fellow

Chandrajit Bajaj has been selected as a Fellow of the Society for Industrial and Applied Mathematics (SIAM) "for fundamental contributions to applied mathematics algorithms in geometric modeling, imaging science, bioinformatics, and data visualization." SIAM Fellows are designated each year to recognize members of the community for their distinguished contributions to the disciplines of applied mathematics, computational

A.I. Expert Weighs in on Historic Computer vs. Human Contest

AlphaGo, a program that plays what many consider the most difficult of board games, Go, has just won the first of five matches against the world's top human player. The series is scheduled to continue through March 12. Developed by Google's DeepMind subsidiary, AlphaGo has already beaten the European Go champion. A few days before the latest competition, we asked Risto Miikkulainen, an artificial intelligence researcher at the University of Texas at Austin, for his thoughts on this historic contest.

Peter Stone Earns Autonomous Agents Research Award

Professor Peter Stone has been selected as the recipient of the 2016 ACM/SIGAI Autonomous Agents Research Award. Stone's work is exceptional in both its breadth and depth in multiagent systems. Some of his most influential work has been in reinforcement learning and multiagent learning as applied to robot soccer, autonomous traffic management, and trading agents.

Calvin Lin Wins 2015-16 President's Associates Teaching Excellence Award

President Fenves recently announced Calvin Lin as a recipient of the 2015-16 President's Associates Teaching Excellence Award. This award, established in the fall of 1980, recognizes the consistent level of excellence that Calvin has achieved in teaching undergraduates within the Department of Computer Science.

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