John has a M.S. in Computer Science and over 30 years experience in the development of leading edge, real-time systems and applications in the areas of underwater acoustics, electronic warfare (EW), medical monitoring, and non-destructive testing. He is skilled in algorithm development in Java, C++ and Matlab for signal and image processing, machine learning, parallel (GPU) processing, and target detection, tracking, and classification. As part of his Master’s degree studies in 1992, he conducted ground breaking research using neural networks for specific emitter identification (SEI) for the EW Division of the U.S. Naval Research Lab (D.C.). He then worked at Orincon Corporation and Progeny Systems where he leveraged company acoustic signal processing capabilities and the SBIR program (NIH, NAVSEA) to develop and commercialize an ultrasound system to count and size harmful micro-embolisms (bubbles, plaque, lipids, etc.) released during surgical procedures and after scuba diving. Through the SBIR program he has successfully developed systems and applications for ultrasonic detection of fuel and oil contaminants, in-air acoustic tracking of river boats, speech-in-noise hearing tests, non-invasive measurement of intracranial pressure, and an open-architecture, physiological monitor for improved data collection for combat casualty care.