Welcome to Computer Science

Welcome to the UGA Department of Computer Science web site. Established in 1984, the department has a growing, dynamic, research-oriented faculty who take great pride in their longstanding record of excellence in research and in undergraduate and graduate education. 

News and Spotlight

Posted Thursday, March 19, 2015 - 11:00pm

Anti-malware program developed by PhD students Phani Vadrevu and Babak Rahbarinia, under the direction of Prof. Roberto Perdisci and Prof. Kang Li, is helping to keep campus computers safe, and it may also prove useful for other institutions that want to protect sensitive information from cybercriminals. More information about the project can be found in the following UGA news article: http://news.uga.edu/releases/article/anti-malware-program-developed-at-u...

Posted Monday, February 23, 2015 - 10:00am

An NSF funded project on using social media for tracking and combating harmful algal blooms was recently featured on the UGA’s main page. This project, called Cyanotracker, is led by Profs. Ramaswamy and Bhandarkar from Computer Science and Prof. Mishra from Dept. of Geography. More information is about the project available in this UGA news article: http://news.uga.edu/releases/article/crowdsourcing-cyanotracker-harmful-...

Posted Thursday, August 21, 2014 - 10:00am

Congratulations to Prof. Ramaswamy, Prof. Mishra (Department of Geography, UGA) and Prof. Bhandarkar for receiving a grant from the NSF for building a multi-cloud infrastructure for effective monitoring of inland waters and coastal wetlands. This project will seamlessly integrate community observations, remote sensing measurements, and advanced multimedia analytics for sustainable management of salt marshes and inland waters.

Reciprocal Functional Architecture of the Human Brain based on fMRI
Posted Thursday, August 21, 2014 - 9:45am

Congratulations to Prof. Liu for receiving a 3-year grant from the NSF cognitive neuroscience program to explore the reciprocal functional architecture of the human brain based on fMRI data. This project will design and apply novel sparse representation methods for whole-brain fMRI signals for the purpose of discovering novel functional brain architectures.