معرفی
Dr. Angelos Chatzimparmpas is an Assistant Professor in the Department of Information and Computing Sciences at Utrecht University's Faculty of Science, specializing in the Visualization and Graphics subgroup. His research focuses on developing visual analytics systems to enhance understanding and trust in machine learning models, particularly in the domain of Explainable AI (XAI). He maintains active collaborations with institutions including Northwestern University where he completed his postdoctoral research.
Dr. Chatzimparmpas earned his educational credentials through an impressive international trajectory: BSc and MSc in Informatics and Telecommunications Engineering from the University of Western Macedonia, Greece (2017), PhD in Computer and Information Science from Linnaeus University, Sweden (completed February 2023), followed by a postdoctoral position in Computer Science at Northwestern University, USA (completed March 2024).
His research interests span Information Visualization, Human-Computer Interaction, and Machine Learning with a specialized focus on Explainable AI. He investigates visual exploration of machine learning models' inner workings, model uncertainty quantification, evaluation of visualization systems using deep learning architectures, and detection of AI-generated images (deepfakes). His work bridges theoretical machine learning concepts with practical visualization techniques to make complex AI systems more transparent and trustworthy for human users.
Analysis of his recent publications reveals a clear trajectory focusing on visual analytics for machine learning interpretability. His work systematically addresses challenges in understanding ensemble learning methods, dimensionality reduction techniques, and deep learning models through innovative visualization approaches. A significant portion of his research targets the growing problem of AI-generated content, developing methods to distinguish authentic from synthetic media. His publications appear in top-tier venues including IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, and CHI Conference proceedings.
Dr. Chatzimparmpas teaches several advanced courses including Data Science Colloquium, Game Programming, Optimization and Vectorization, and Visual Analytics for Big Data. His teaching directly reflects his research expertise, providing students with cutting-edge knowledge in visualization and machine learning integration.
He is actively involved with the Utrecht Platform for Applied Data Science and contributes to research in Applied Data Science, Game Research, and Human-centered Artificial Intelligence. His work demonstrates strong interdisciplinary connections between computer science, cognitive science, and domain-specific applications requiring trustworthy AI systems.
