Published several papers including 'NeuSEditor: From Multi-View Images to Text-Guided Neural Surface Edits' (2026), 'The Overlooked Value of Test-time Reference Sets in Visual Place Recognition' (2025), and more.
Research Experience
Works on intelligent vehicle perception and learning, focusing on crowded urban settings. Applies deep learning and probabilistic models to automatically detect objects and predict traffic situations from multi-modal data.
Background
Associate Professor at the Intelligent Vehicles group, part of the Cognitive Robotics department of the Mechanical Engineering faculty, TU Delft, The Netherlands. Research interests include multi-modal environment perception, deep learning, and probabilistic models for intelligent vehicles.