Summary
Michel Da Silva is an Assistant Professor and researcher with eight years of experience specializing in computer vision and robotics, holding a Ph.D. from UFMG on semantic fast-forwarding of egocentric videos. He leads vision and robotics work at VeRLab and acts as tech lead on a Petrobras-sponsored robotics project, applying academic research to real-world construction and industrial challenges. His background includes teaching and industry-linked visiting research in the UK, and he blends expertise in digital image processing with hands-on system development for field robotics. Colleagues value his ability to translate deep-learning vision research into practical pipeline components that work outside the lab.
8 years of coding experience
Master’s Degree, Computer Science, Digital Image Processing, Master’s Degree, Computer Science, Digital Image Processing at Universidade Federal de Lavras
Doctor of Philosophy (Ph.D.), Computer Vision, Doctor of Philosophy (Ph.D.), Computer Vision at Universidade Federal de Minas Gerais