I completed my PhD in Computer Vision and Mathematics in January 2026. My research topic was Algebraic Methods in 3D Computer Vision, focusing on solving minimal problems efficiently for geometric vision tasks.
During my PhD, I was working at the intersection of mathematics, computer vision, and 3D reconstruction, developing fast and reliable solvers for minimal problems (realized by multivariate polynomial systems) arising in Structure-from-Motion pipelines. By applying tools from various fields of applied mathematics (such as algebraic geometry, representation theory, etc.), I was designing algorithms that were capable of decomposing these minimal problems into simpler, easier-to-solve pieces. The goal of my PhD was to connect deep mathematical theory and practical computer vision applications, which I accomplished successfully.
