Master's thesis advisors: Rikke Gade and Letizia Marchegiani
Thesis: “Where can I go?” Deep multi-modal scene understanding for outdoor navigation, proposing a severity-aware learning scheme, adaptive multi-modal fusion, and out-of-dataset evaluation
BSc in Electrical Engineering from the University of Twente, Netherlands
Developed interest in signal processing and first explored computer vision during undergraduate studies
Background
PhD student at the Visual Analysis & Perception Lab, Aalborg University, Denmark
Works at the intersection of computer vision and uncertainty
Interested in the trustworthiness of deep learning models and their evaluation
Recently focused on out-of-distribution (OOD) detection and data/label uncertainty
Recipient of a PhD fellowship from the Danish Data Science Academy (DDSA)