Ronald Riley, PhD
Areas of Expertise
- Physics/mathematics/statistical modeling
- Machine learning
- Spectral/polarimetric/SAR imaging
- Image processing
- Signal processing
- GEOINT geolocation
- Multi-INT fusion
- Physics of ionospheric plasma
Background and Current Work
Dr. Ronald Riley is a senior research scientist for Riverside Research. He conducts research in the areas of signal processing, side-channel analysis, and machine learning. Dr. Riley has developed techniques for remote extraction of software running on processors based on unintended analog side-band emissions. This work involves collection of radio-frequency electro-magnetic emissions with near-field probes, developing assembly code to isolate key registers for characterization and calibration purposes, and applying machine learning techniques to recognize register values and instructions.
Dr. Riley has led R&D teams at DOE/DOD national laboratories and in industry for over thirty years. He developed innovative processing, exploitation, and dissemination of technical intelligence products into intelligence, surveillance, and reconnaissance planning and direction; collection; processing and exploitation; analysis and production; and dissemination (ISR PCPAD) architectures. He advanced the state-of-the-art of persistent infrared processing, including registration, ortho-rectification, suppression of noise and artifacts, and background characterization. Dr. Riley also led development of a tactical high frequency geolocation system from concept to fielded product.
Education, Awards, and Recognition
Dr. Riley received bachelor of science degrees in computer science, mathematics, and physics and an MS in mathematics from the University of Central Florida. He received a PhD in plasma physics from the University of California, San Diego. He has authored or co-authored over 25 publications and eight patents.