Stacy J Prowell

Stacy

Stacy J Prowell

Chief Cyber Security Research Scientist

Bio

Dr. Stacy Prowell serves as the Chief Cyber Security Research Scientist and is the Program Manager for the lab's Cybersecurity for Energy Delivery Systems program. Dr. Prowell's research focuses on exploiting physical sensors and properties to detect and prevent intrusion, and on deep semantic analysis of compiled software. Dr. Prowell's work on a system for deep analysis of compiled software led to the Hyperion system, which received a 2015 R&D 100 award and two awards for technology transfer. Previously, Dr. Prowell worked in the CERT Program of the Software Engineering Institute on automated analysis of malware. Dr. Prowell is an IEEE Distinguished Lecturer for the Transportation Electrification Community. In his spare time Dr. Prowell is an Associate Professor of Electrical Engineering and Computer Science at the University of Tennessee, an Associate Professor of Computer Science at Tennessee Technological University, and is a member of Sigma Xi and a senior member of the IEEE.

See also: http://web.eecs.utk.edu/~sprowell

Awards

  • Selected as an IEEE Distinguished Lecturer by the Transportation Electrification Community (2016)
  • 2016 ORNL Lab Director "Best SEED Money Fund Poster" Award, with Jeff Nichols, Bobby Bridges, and Jarylin Hernández
  • 2016 Federal Laboratory Consortium Excellence in Technology Transfer Award, with David Sims
  • 2015 R&D 100 Award, for Hyperion
  • 2015 UT-Battelle Technology Commercialization Award, for Hyperion Team
  • 2013 UT-Battelle Significant Event Award

Patents

  • S. J. Prowell, “Performing Hierarchical Analysis of Markov Chain Usage Models,” US Patent 7,219,049, filed September 15, 2003.
  • S. J. Prowell and C. Rathgeb, “Statistical Fingerprinting for Malware Detection and Classification,” US Patent 9,135,440, filed July 31, 2013.
  • P. Evans, N. Paul, S. Prowell, “System and Method for Key Generation in Security Tokens,” US Patent 9,172,698, filed October 11, 2013.
  • S. J. Prowell and K. D. Sayre, “Automated Clustering of Malware Variants Based on Structured Control Flow,” Provisional Patent #62/170,758, filed June 4, 2015.​

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