Electromagnetic Scattering & Algorithm Development
Dr. Peter Lam brings extensive experience in electromagnetic scattering and algorithm development in object detection, identification, and classification to his role at DSMC. Prior to joining the DSMC team, Dr. Lam developed algorithms for object detection and classification in Muon Tomography for Decision Sciences International Corporation (DSIC). He also developed a robust statistical approach to gamma detection for DSIC. In a successful career spanning thirty years, Dr. Lam has been involved in numerous projects to analyze the electromagnetic scattering of large complex vehicles for the Department of Defense, including sensor control for unmanned air vehicles, target identification using multi-spectral sensors, and radar cross section design and analysis. A leading contributor to missile and stealth vehicle design programs, Dr. Lam’s previous experience includes technical leadership roles at L-3, SAIC, Lockheed Martin, McDonnell Douglas, Global Analytics, and General Dynamics. Dr. Lam received his Ph.D. and Masters in Electrical Engineering from the University of Illinois and his B.S. in Electrical Engineering from Purdue University.