Summary
Leon Nguyen is a Scientist IV with a decade of experience applying signal processing and machine learning to real-world sensing problems, from neuromorphic low-power networks to video-based human activity recognition and anomaly detection. Based in California and currently at HRL Laboratories, he has shipped real-time algorithms on embedded platforms鈥攄emoing radar-based long-range object detection on a taxiing plane and on-board aerial activity recognition from a quadcopter. His work spans novel view synthesis, 3D face reconstruction, autonomous driving datasets, and EEG/underwater channel analysis, reflecting a knack for crossing disciplinary boundaries between perception, hardware, and systems. Notably, he reduced energy consumption by 50% in a spiking neural network during a UCSD neuromorphic project and contributed to a Nature Communications paper, underscoring both practical impact and peer-reviewed research. Colleagues rely on him for turning sensor-fusion ideas into deployable prototypes that balance algorithmic sophistication with embedded constraints.
10 years of coding experience
1 year of employment as a software developer
University of California San Diego
Osaka University
Master鈥檚 Degree, Master鈥檚 Degree at University of California, San Diego - Jacobs School of Engineering