Olaf Wysocki is an Assistant Research Professor and group lead specializing in 3D photogrammetry, semantic segmentation, and reconstruction of point clouds, with eight years of experience across academia and industry. He earned a summa cum laude PhD from TUM for work on building reconstruction from laser scanning and has collaborated with Audi on semantic refinement for HD maps. At TUM he combined geodesy and computer vision to advance semantic 3D reconstruction, and now leads the CV4DT lab at the University of Cambridge, bridging cutting-edge research with applied mapping and autonomous-driving use cases. His background spans international research exchanges (including NUS, Nottingham, and Technion) and practical 3D GIS roles, giving him a rare mix of theoretical rigor and deployment experience. An avid contributor to academic software and open research, he is also active in outreach initiatives like Get Kids into Survey, reflecting a commitment to growing the field beyond publications.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Geodesy and Carthography, 5.0 (very good), distinction for thesis, Rector's Scholarship (top 1%), Bachelor's degree, Geodesy and Carthography, 5.0 (very good), distinction for thesis, Rector's Scholarship (top 1%) at Wrocław University of Science and Technology
Master's degree, Geodesy and Geoinformation, Master's degree, Geodesy and Geoinformation at Technical University Munich
Doctor of Philosophy - PhD, Photogrammetry, summa cum laude, Doctor of Philosophy - PhD, Photogrammetry, summa cum laude at Technical University of Munich
National University of Singapore
Engineer, School of Mineral Resources, Engineer, School of Mineral Resources at Technical University of Crete
Contributions:50 commits, 23 pushes, 3 comments in 11 months
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Olaf Wysocki - Assistant Research Professor at CV4DT