About Us

Our creative team has decades of experience with innovative radar system development; from ideas to prototypes with serious depth in hard-core electromagnetics, radar architecture, system design, signal processing, machine learning, sensor fusion, and radar object recognition.

Jim Schoenduve Business Strategy Director

Jim has more than 30 years of successful business development nurturing cutting edge technologies from inception to fruition with both large and startup organizations. Jim has demonstrated creativity in developing product lines to meet market needs. His RF breadth traverses cellular to mmWave. His prior affiliations include Hughes Aircraft company.

William Barnwell RF Engineering Director

Bill has a history of successfully forming and leading teams of independent minded engineers and scientists to realize state-of-the-art radar sensing problems. Bill was affiliated with the US Naval Research Laboratory for 40+ years.

Dr. Doug Taylor Electromagnetic Research Director

Doug is our hard-core electromagnetics guru and physicist. He thrives on difficult radar and aperture design problems subject to severe boundary conditions. Doug's prior affiliations includes 20+ years at the US Naval Research Laboratory.

Rick Pavek Chief Scientist

Rick is our restless, energetic, and brilliant scientist who voraciously consumes and generates ingenious solutions to punishing signal processing, RF imaging, fusion, and radar tracking problems. He was the lead designer of the Phoenix radar system, made significant contributions to the AMRAAM radar system, and developed potent algorithms for Navy radar systems. His prior stints include Radar Chief Scientist at Hughes Aircraft for more than 20 years, 1 year at Bell Labs, and 24 years as Radar Chief Scientist at Johns Hopkins University Applied Physics Laboratory.

Dr. Jeff Willey Research Director

Jeff devours difficult radar sensing problems others dismiss as impossible. His radar experience spans realization of prototypes from ideas, UHF to mmWave, detection to object identification, and machine learning. His past affiliations include 34+ years the US Naval Research Laboratory and Johns Hopkins University Applied Physics Laboratory.