03/21/2016 - In addition to his role as a professor, UT Computer Science’s Robert van de Geijn is the Director of the ICES’ Science of High-Performance Computing (SHPC) Group. Read more
03/09/2016 - Source: NEWS from College of Natural Sciences First the robots successfully challenged the chess masters, then the Jeopardy champions. Now comes a match-up for a new generation. Read more
02/16/2016 - 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. Read more
01/05/2016 - 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. Read more
11/30/2015 - Professor Warren Hunt has been recognized as one of the Association for Computing Machinery's (ACM) 2015 Distinguished Engineers. His research involves the use of formal mathematics to write specifications for computer hardware and software and to use proof techniques to determine the validity of such specifications. Read more
11/30/2015 - Lorenzo Alvisi was selected for his contributions to reliable distributed systems. His research interest is in distributed computing, with a particular emphasis on issues of dependability.  Read more
11/12/2015 - A UTCS programming team finished second at this year's ACM International Collegiate Programming Contest (ACM-ICPC) regional competition. The team of Arnav Sastry, Daniel Talamas, and Jaime Rivera beat approximately 60 different teams competing in the South Central U.S region of the contest. Read more
11/04/2015 - University of Texas researcher designs novel way to analyze bigger datasets using supercomputers and machine learning algorithms. How do Netflix or Facebook know which movies you might like or who you might want to be friends with? Here’s a hint: It starts with a few trillion data points and involves some complicated math and a lot of smart computer programming. Read more


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