Bashir Kazimi is a research group leader and deep learning expert with nine years of experience applying computer vision to scientific imaging and geospatial data. Based in Aachen, he leads the Data Science and Computer Vision Lab for Electron Microscopy at Forschungszentrum Jülich, translating advanced neural methods into materials and microscopy workflows. His background spans x‑ray tomography, large 3D point‑cloud analysis, and historic landscape detection, underpinned by a PhD in Geodesy and Geoinformatics and a Master's in AI. He is comfortable bridging academic research and applied engineering, having held research roles across Helmholtz, Leibniz Universität Hannover, and a visiting stint at the University of Melbourne. Early software and QA roles, plus a stint building automated grading tools, give him pragmatic engineering instincts alongside theoretical depth. Colleagues describe him as a researcher who consistently turns complex 3D imaging problems into deployable deep‑learning solutions.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Geodesy and Geoinformatics, Doctor of Philosophy - PhD Geodesy and Geoinformatics at Leibniz Universität Hannover
UPC Universitat Politècnica de Catalunya
Bachelor of Science (B.Sc.) Computer Engineering, Bachelor of Science (B.Sc.) Computer Engineering at Orta Doğu Teknik Üniversitesi / Middle East Technical University
English, Turkish, Persian, german (goethe zertifikat b2)
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Bashir Kazimi - Research Group Leader at Forschungszentrum Jülich