Angelos Chatzimparmpas is an Assistant Professor of Computer Science at Utrecht University specializing in Visual Analytics for Explainable AI (XAI). His main research interests include visual exploration of the inner parts and the quality of machine learning (ML) models with a specific focus on making complex ML models better understandable and explainable, as well as providing reliable trust in the ML models and their results. In addition to developing visual analytics systems, Angelos also focuses on model uncertainty quantification, utilizing deep learning architectures for visualization evaluation, and supporting users in detecting AI-generated images (deepfakes).

More details can be found on his personal website.