Stacy J Prowell

Distinguished Cybersecurity Researcher

Dr. Stacy Prowell is interested in the security and resiliency of critical infrastructure.  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.

Dr. Prowell helped to create the initial cybersecurity research group at ORNL, serving as Chief Cyber Security Research Scientist, and also helped focus the group on critical infrastructure, serving as Program Manager for the lab's Cybersecurity for Energy Delivery Systems (CEDS) program under which the lab received more DOE CEDS funding than any other national laboratory.

Previously, Dr. Prowell worked in the CERT Division of the Software Engineering Institute on automated analysis of malware. Dr. Prowell is an IEEE Distinguished Lecturer for the Transportation Electrification Community.  Dr. Prowell is a member of AAAS, Sigma Xi, and a senior member of the IEEE.

Dr. Prowell is a faculty member in the Department of Computer Science at Tennessee Technological University where he teaches CSC 6580, advanced and automated reverse engineering.  His most recent lecture series from this class is available online.

Starting at the end of 2022, Dr. Prowell is the Associate Director for Tennessee Tech's Cybersecurity Education, Research, & Outreach Center (CEROC).

See also: GitLab // GitHub

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.​