Eindhoven University of Technology | Netherlands
Dr. Stef Van Den Elzen is an accomplished expert in visual analytics, artificial intelligence, and advanced data visualization, currently serving as an Assistant Professor in Visual Analytics at Eindhoven University of Technology since 2021. Prior to this, he worked as a Senior Scientist and Product Owner at Philips Research, where he led an agile team of over 15 members and drove the integration of state-of-the-art AI technologies into impactful innovations. His industry leadership includes serving as VP of Engineering at SyneRScope, guiding strategic direction, technical roadmaps, and product development, following earlier roles as Visualization Architect and Software Engineer in which he developed pioneering visual analytics techniques and supported international research projects. Dr. Van Den Elzen began his career with roles in software visualization, interactive data analysis, and educational support, and he earned his PhD in Visual Analytics for dynamic networks from Eindhoven University of Technology, graduating cum laude. He also holds a cum laude Master’s degree in Computer Science and Engineering with a specialization in Visualization, a minor in Game and Multimedia Technology from Utrecht University, and a Bachelor’s degree in Computer Science, building a strong foundation that has enabled his innovative contributions to research, industry, and technology development.
"Towards multi-faceted visual process analytics", S van den Elzen, M Jans, N Martin, F Pieters, C Tominski, MC Villa-Uriol, Information Systems, 2025.
"When Dimensionality Reduction Meets Graph (Drawing) Theory: Introducing a Common Framework, Challenges and Opportunities", FV Paulovich, A Arleo, S van den Elzen Computer Graphics Forum, 2025.
"Long sequences with a lot of events (LoLo): A visual analytics approach for analyzing long event sequences", S van der Linden, B Cappers, A Vilanova, S van den Elzen Information Visualization, 2025.
"Cluster-Based Random Forest Visualization and Interpretation", M Sondag, C Meinecke, D Collaris, T Von Landesberger, S Elzen, arXiv preprint arXiv:2507.22665, 2025.
"Automated Refined Comic Generation: From Investigation Provenance to Data Comics using Visual Narrative Structure", K Roggenbuck, A Vilanova, S van den Elzen, 2025 Eurographics Conference on Visualization, 2025.