Summary
Matthieu Zins is an AI Research Engineer and computer vision specialist with 11 years of experience bridging academic research and industry productization in 3D vision, visual-inertial SLAM, camera pose estimation, and sensor fusion. He holds a PhD with publications in IJCV, ISMAR, 3DV, IROS and a CVPR demo, and has turned that research into deployable systems for AR glasses and embedded platforms using C++ and Python. At Kitware and Arspectra he built algorithms for multi-sensor calibration, texture mapping and low-latency pose estimation, and contributed to open-source toolkits used in satellite and urban 3D reconstruction. Currently focused on AI for defense at Helsing, he combines geometric reasoning with deep learning for robust localization, and has a track record of releasing research code and winning applied data-science competitions. Notably, his PhD work produced an object-based visual SLAM that leverages semantic scene maps to improve relocalization — a practical twist on classic SfM and SLAM approaches.
11 years of coding experience
4 years of employment as a software developer
Mathematics and Computer Science, Mathematics and Computer Science at Technische Universität Chemnitz
French Baccalauréat with an emphasis on Maths and Engineering with honors, French Baccalauréat with an emphasis on Maths and Engineering with honors at Lycée Henri-Nominé
Doctor of Philosophy - PhD Computer Science - Computer Vision, Doctor of Philosophy - PhD Computer Science - Computer Vision at Universite de Lorraine
Computer Science, Computer Science at Université de Technologie de Compiègne (UTC)
Master of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at Linköping University
French, English, German