Summary
Le Zheng is a professor and radar systems expert with 11+ years of experience in radar, signal processing, data fusion, wireless communications and high-performance hardware, and over 50 publications cited more than 3,000 times. He led system and hardware architecture for next-generation automotive radars at Aptiv and designs novel signal-processing and machine learning algorithms for ADAS and autonomous driving. His research expertise spans high-dimensional sparse regression and large-scale data fusion, translating advanced modeling into practical, deployable systems. Trained with a PhD in target detection and recognition and a top undergraduate record in communications, he blends rigorous academic research with hands-on industry engineering across international institutions. An interesting facet: alongside his deep radar work he engages with computational linguistics on GitHub, reflecting a broader computational curiosity beyond his core domain.
11 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Communication engineering, 4.0, Bachelor's degree, Communication engineering, 4.0 at Northwestern Polytechnical University
Doctor of Philosophy - PhD, Target detection and recognition, Doctor of Philosophy - PhD, Target detection and recognition at Beijing Institute of Technology