12/20/2013 - UT Computer Science is excited to welcome four new faculty members coming to campus in 2014. They all have incredibly impressive credentials and research experience, and we’re extremely grateful that they have chosen to join our family.
12/10/2013 - Professor David Zuckerman has been elected to be an ACM Fellow for his contributions to randomness extraction, pseudo randomness, and their role in complexity theory.
12/09/2013 - Professor Dana Ballard, and his co-author Michael Swain, have won the Helmholtz Test-of-Time award.
12/09/2013 - Dana Ballard has been selected to receive the 2014 Distinguished Cognitive Scientist Award from the University of California, Merced.
11/25/2013 - Two of our distinguished faculty, Chandra Bajaj and Inderjit Dhillon, have been elected IEEE Fellows.
11/20/2013 - Associate Professor Lili Qiu has been recognized as one of the Association for Computing Machinery's (ACM) 2013 Distinguished Scientists. Her research focus is on internet and wireless networking. Qiu's current projects include Wireless Network Management, MIMO, and Content Distribution in Mobile Networks.
11/14/2013 - A team of researchers at Rice University, Baylor College of Medicine (BCM) and the University of Texas at Austin are working together to develop new statistical tools that can find clues about cancer that are hidden like needles in enormous haystacks of raw data.
09/27/2013 - The National Science Foundation has recognized two Baylor College of Medicine researchers, along with a researcher from The University of Texas at Austin, with a collaborative research award that is a joint initiative between the NSF Division of Mathematical Sciences and National Institute of General Medical Sciences to support research at the interface of the biological and mathematical sciences.
09/24/2013 - Researchers at the University are working to perfect a computer algorithm designed to summarize first-person perspective films, with the hope of aiding the elderly and memory-impaired.
09/23/2013 - With video sharing expected to leap, researchers at the University of Texas are training computers to digest such videos into a nutshell version for easier viewing.