- 709-993-1627 (office)
Nguyen Engineering Building, 4420
4400 University Drive, MS 4A5
Fairfax, VA 22030
As the global usage of digital communication proliferates, so does risk and vulnerability to cyber attack. Daniel Barbarà’s numerous research projects and patents explore and solve the problem of mining malicious activity within mountains of data. The problem of detecting a security threat in a data stream is most directly affected by the time involved in sensing abnormal behavior amid a maelstrom of competing signals. Barbarà’s research has identified novel methods of auditing that function to more efficiently gather abnormal and potentially hazardous patterns of usage by exploiting better sampling and clustering methods. Barbarà teaches several computer science courses focusing on operating systems and pattern recognition.
PhD, Computer Science, Princeton University (1985)
MS, Computer Science, Princeton University (1981)
BS, Electrical Engineering, Universidad Metropolitana (1975)
Faculty Rank: Professor
2012 - 2015 : II-NEW: An Experimental Infrastructures for Cross-domain Research in Wireless Computing, Cybersecurity and Data Mining. Funded by National Science Foundation.
2012 - 2013 : Discovering Area Anomalies to Support Detection of Geospatial Stressing Factors. Funded by US Army.
2011 - 2011 : A visualization and analysis tool for a large scale sensing and surveillance system. Funded by Invertix Corp.
Honors & Awards
Outstanding Researcher, CS Department, George Mason University