David Ohm
Electrical and Computer Engineering
Educational Background
Biography
David Ohm joins USU with over 25 years of industry experience in advanced sensor signal processing, photonics, and defense technology specializing in statistical signal processing for radar and RF sensing applications. His career in industry includes serving as a Principal Signal Processing Scientist at Zeta Associates (Lockheed Martin) and as Co-Founder and CEO of KickView Corporation, a defense-tech startup focused on RF and EO sensing with AI/ML. He has led corporate university internship programs and adjunct taught at the University of Colorado Denver and is dedicated to bridging the gap between theory and practice.
Teaching Interests
Dr. Ohm’s teaching is grounded in first-principles, emphasizing a deep understanding of physics and engineering to solve real-world problems with noisy data. His courses span digital signal processing, communications theory, and sensing systems including radar, passive RF geolocation, array processing, and multi-sensor tracking and fusion. He brings active research problems and industry context into the classroom, with particular emphasis on learning from real collected data.
Research Interests
Dr. Ohm's research interests are in sensing and problems at the boundary of classical estimation theory and modern machine learning: RF-based situational awareness, direction finding and emitter geolocation, robust state estimation under jamming and spoofing, and multi-sensor tracking and fusion. His work spans passive and active sensing, software-defined radio architectures, and sensing-enabled autonomy for defense and dual-use applications. The Signals Lab engages in research through hardware-in-the-loop experimentation and direct collaboration with defense industry partners, with students engaged in signal collection, processing and deployable systems.
Publications | Other
Other
- Ohm, D., (2017). Association of emitter and emission using deep learning. 2017 51st Asilomar Conference on Signals, Systems, and Computers
- Ohm, D., (2011). Filling a curriculum gap: A course in RF to baseband systems engineering for Radio Receiver Design. 2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE)
- Ohm, D., (2009). Emitter Location via Joint 3D Parametric Estimation. IEEE 43rd Asilomar Conference on Signals, Systems & Computers
- Ohm, D., (2005). Acoustic Microsignatures: New Extraction Concepts. IEEE 39th Asilomar Conference on Signals, Systems & Computers
An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.