Summary
Hughes Perreault is an AI researcher and computer vision specialist with a decade of experience focused on object recognition and scene understanding for urban transportation safety. He holds a PhD in Computer Engineering from Polytechnique Montréal and has produced strong results on benchmarks like Cityscapes, KITTI, India Driving, UA-DETRAC, and UAVDT. At Thales and now the Institut de recherche d'Hydro‑Québec he has applied deep learning and classic vision techniques to optimization, multimodal image registration and fusion, detection, and tracking in real-world systems. Hughes blends research rigor with production-minded engineering—prototyping in TensorFlow and PyTorch while delivering robust, deployable models. He also has teaching experience in multimedia technologies and C++, reflecting an ability to communicate complex ideas to students and engineers alike. Based in Terrebonne, Quebec, he brings domain-focused expertise in transportation vision that bridges academic benchmarks and operational deployments.
10 years of coding experience
4 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Université du Québec à Chicoutimi
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Université de Montréal
Doctor of Philosophy - PhD Computer Engineering, Doctor of Philosophy - PhD Computer Engineering at Polytechnique Montréal
French, English