Stavros Tsogkas is a research scientist with 11 years of experience specializing in computer vision and deep learning, currently at the Toronto AI Center / Samsung Electronics America. He focuses on mid-level representations—medial axes and object parts—to bridge bottom-up and top-down processing for object detection, segmentation and grouping in natural and medical images. A PhD graduate from Université Paris-Saclay, Stavros combines academic rigor with industry impact through postdoctoral work at UofT and an affiliation with the Vector Institute. He has taught as an adjunct professor and brings practical experience translating principled research into applied systems at scale. Notably, his work emphasizes interpretable, part-based representations that help recover structure in challenging imaging domains.
11 years of coding experience
3 years of employment as a software developer
Engineer’s Degree, Electrical and computer engineering, Engineer’s Degree, Electrical and computer engineering at National Technical University of Athens
Doctor of Philosophy (Ph.D.), Computer vision, machine learning, Doctor of Philosophy (Ph.D.), Computer vision, machine learning at Université Paris-Saclay
Contributions:63 commits, 56 pushes, 1 comment in 3 years 2 months
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Stavros Tsogkas - Research Scientist at Samsung Electronics America