Trac Nguyen PhD
About Trac Nguyen PhD
Trac Nguyen, PhD, is a Radar System Engineer currently working at Raytheon Intelligence & Space and Sandia National Laboratories. He specializes in Synthetic Aperture Radar, Coherence Change Detection, and AI/ML applications in radar systems.
Current Positions
Trac Nguyen, PhD, currently works as a Radar System Engineer at Raytheon Intelligence & Space in McKinney, Texas, United States. Additionally, he holds a position at Sandia National Laboratories in Albuquerque, New Mexico, focusing on radar systems. He has been with Raytheon since 2020, and Sandia National Laboratories since 2019, where he specializes in synthetic aperture radar and coherence change detection.
Past Work Experience
Trac Nguyen's extensive career includes positions at several prominent technology and engineering firms. From 2005 to 2019, he was a System Engineer and Embedded Software Engineer at Raytheon in Dallas, Texas. Prior to that, he worked as a Research Assistant at The University of Texas at Dallas for one year. His earlier roles include Senior Information Analyst at ExxonMobil, Software Engineer at QLogic, and Verification Engineer at Brooktree Corporation.
Educational Background
Trac Nguyen achieved his Doctor of Philosophy (Ph.D.) in Mathematics and Computer Science from The University of Texas at Dallas, where he studied from 2003 to 2008. Prior to that, he earned a Master of Science (M.S.) in Computer Science from Texas State University-San Marcos between 1997 and 1999. He also holds a Bachelor of Science (BSc) in Electrical and Electronics Engineering from University of Oklahoma, which he completed from 1994 to 1996.
Specializations and Expertise
Trac Nguyen specializes in synthetic aperture radar, coherence change detection, motion compensation, and the polar format algorithm. He is also involved in the application of artificial intelligence and machine learning in radar systems. Furthermore, Trac works on electronic warfare target tracking using the Kalman Filter and conducts GPS ground system data analysis.