Summary
Nguyen Minh is a research scientist and PhD in Computer Vision based in Paris, with eight years of hands-on experience building perception systems for autonomous vehicles using camera and LiDAR data. Currently at Valeo DAR, he designs multi-task architectures deployed on embedded automotive platforms and has delivered ADAS solutions for BMW, Porsche, Honda and Yamaha. His academic work at IRIT produced practical advances in sensor fusion and fog-robust 3D detection (including the MultiFogKITTI augmentation), and he has industry experience reproducing and deploying state-of-the-art 3D detection models at VinAI. Comfortable across PyTorch, ONNX, TensorRT and C++ on Linux, he bridges research and production ML for edge systems. Beyond publications and internships at CEA and INSA, he contributes to peer review and editorial boards, reflecting a blend of rigorous research and product-focused engineering.
8 years of coding experience
4 years of employment as a software developer
M.Sc. (Diplôme d’Ingénieur) Electrical Engineering, M.Sc. (Diplôme d’Ingénieur) Electrical Engineering at l'INSA Centre Val de Loire
Ph.D. Computer Vision, Ph.D. Computer Vision at Université Paul Sabatier Toulouse III
Vietnamese, French, English