Dr. Ronald A. Riley
Sr. Computer Scientist at Air Force Research Lab
SPIE Involvement:
Author
Area of Expertise:
Technical Leadership Driving Innovation , Physics / Math / Statistical / Software Modeling , Image & Signal Processing , Data-Level Fusion / MultiINT , Machine Learning / Artificial Intelligence , Remote Sensing / EO VisNIR-Thermal / SAR
Profile Summary

✪ My goal is to be where I can make the world a better place through technical innovation and inspire others to greatness.
✪ I believe in the power of technical innovation to make everyone's life better by making the pie bigger instead of dividing the crumbs "equally."
✪ I am a leader of research and development teams at national laboratories and in private industry.

PhD in physics, 1993, University of California San Diego, La Jolla CA. MS in applied math, 1987, BS in physics, 1985, BS in applied math, 1985, and BS in computer science, 1984, University of Central Florida, Orlando FL.

Researching "Cyber-Physical Distributed Sensing"at AFRL. Sr Research Scientist at Riverside Research investigating analog side-channel cyber exploits. Chief Scientist at Altamira Corp in Dayton OH and at DRS Soneticom in Melbourne FL. He was an IR&D Manager and Principle Investigator at Harris Corp in Melbourne FL. He was a Computer Scientist/Researcher at USC Information Sciences Institute in Arlington VA. He was a Research Scientist at Northrop Grumman in Arlington VA. He was an NRC Post Doc at the Naval Research Lab in Washington DC. He was a GRA at Los Alamos National Lab in Los Alamos NM. He was a Software Engineer at Lockheed Martin in Orlando FL. He was awarded 8 patents by the USPTO. His current research interests include: signal processing, cyber security, machine learning, data-fusion, geolocation, HF propagation, hyperspectral imagery, change detection. Previous research interests include: remote spectral material classification, extracting 3D shape from 2D images, nuclear fusion, high-speed laser diagnostics of hot dense plasmas, and e-textiles.
Publications (8)

Proceedings Article | 3 May 2018 Presentation + Paper
Proceedings Volume 10630, 1063008 (2018) https://doi.org/10.1117/12.2303847
KEYWORDS: Operating systems, Detection and tracking algorithms, Binary data, Control systems, Signal processing, Machine learning, Algorithm development, Data acquisition

Proceedings Article | 3 May 2018 Presentation + Paper
Ronald Riley, James Graham, Ryan Fuller, Rusty Baldwin, Ashwin Fisher
Proceedings Volume 10630, 106300C (2018) https://doi.org/10.1117/12.2304468
KEYWORDS: Clocks, Detection and tracking algorithms, Statistical analysis, Analog electronics, Data modeling, Internet, Magnetism, Signal processing, Manufacturing, Machine learning

Proceedings Article | 3 May 2018 Presentation + Paper
Proceedings Volume 10630, 106300B (2018) https://doi.org/10.1117/12.2304461
KEYWORDS: Signal to noise ratio, Binary data, Data modeling, Signal processing, Analog electronics, Error analysis, Light emitting diodes, Remote sensing, Internet, Analytical research

Proceedings Article | 3 May 2018 Paper
Ryan Fuller, Ronald Riley, James Graham
Proceedings Volume 10630, 106300A (2018) https://doi.org/10.1117/12.2304450
KEYWORDS: Field programmable gate arrays, Logic, Clocks, Signal processing, Oscilloscopes, Machine learning, Electronic components, Near field, Digital signal processing, MATLAB

Proceedings Article | 3 May 2018 Presentation + Paper
Proceedings Volume 10630, 1063009 (2018) https://doi.org/10.1117/12.2304449
KEYWORDS: Signal processing, Analog electronics, Internet, Calibration, Signal to noise ratio, Clocks, Binary data

Showing 5 of 8 publications
Conference Committee Involvement (2)
Cyber Sensing 2020
27 April 2020 | Online Only, California, United States
Cyber Sensing 2019
17 April 2019 | Baltimore, MD, United States
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