Ulas Vural

Key Achievements * Led R&D for Türkiye’s first stereoscopic-depth X-ray device with automated material-type classification. * Our eye-tracking–driven video summarization system was covered by New Scientist. * Engineered a retrieval system enabling 6× faster action-of-interest search on recorded surveillance footage. Courses Taught / Assisted * Graduate: Algorithm Design & Analysis; Computer Vision * Undergraduate: C Programming; Object-Oriented Programming with C++; System Programming

PhD thesis pioneered eye-gaze-based real-time surveillance video synopsis, fusing UX-driven gaze tracking, machine learning, and computer vision for efficient video editing and analysis. Core publication in Pattern Recognition Letters sparked global coverage, including in New Scientist, followed by coverage in 10+ Turkish TV channels and newspapers. Secured 3 government-funded projects; filed an international patent on thesis innovations. Authored 1 journal + 3 conference papers (ICCV, ICPR).

MSc thesis advanced stereo vision for 3D scene reconstruction, integrating graph-cuts with dual-mesh optimization to boost depth accuracy. Published the core method at GCPR (DAGM) in Berlin. Contributed to a TÜBİTAK-funded project generating high-precision ground-truth maps for shape-from-focus/defocus. Awarded a full TÜBİTAK graduate scholarship.