George Mason University
George Mason University Mason
George Mason University

Paulo Costa

Associate Professor, Systems Engineering and Operations Research

Contact Information MORE LESS

  • 703-993-9989 (office)
  • Nguyen Engineering Building, 2227
    4400 University Drive, MS 4A6
    Fairfax, VA 22030

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Biography

Paulo Costa has applied his significant experience as a fighter pilot to a career specializing in the field of electronic warfare and flight safety, which in conjunction with his research on probabilistic reasoning has led to applications in cyber and transportation security, heterogeneous data fusion, and decision support systems in healthcare, defense, and other areas. These topics are at the core of his classroom activities at both graduate and undergraduate level, as well as his research path. Costa leads the research of graduate-level students in understanding security objectives and verification protocols, bringing in the science of probabilistic reasoning and challenging PhD level candidates to consider theory and methods for building computationally efficient software agents that reason, act, and learn in environments characterized by noisy and chaotic traffic.

Costa is a key researcher in the field of probabilistic ontologies and developed innovative applications and extensions that aide in the fight of cyber-warfare. He is a Co-Director at GMU’s Radio and Radar Engineering Lab, and Director for International Collaborations at the Center of Excellence in C4I&Cyber. He received his MS and PhD from George Mason University.

Degrees

PhD, Information Technology, George Mason University (2005)

MS, Systems Engineering, George Mason University (1999)

BS, Engineering , Brazilian Air Force Academy (1986)

More Information

Faculty Rank: Associate Professor

Research

2015 - 2016 : Decision Support for Secure Air Transportation Systems. Funded by Fundacao Casimiro Montenegro Filho.

2014 - 2014 : Context-Based Decisions with Multi-Entity Decision Graphs. Funded by Office of Naval Research.

2012 - 2012 : SBIR: Image Feature Extraction for Improved EW Classification. Funded by Impact Technologies, LLC.

Research Interests

Data Mining

Expertise