Stef van den Elzen
Assistant Professor Visual Analytics
Eindhoven University of Technology (TU/e)
Visualization cluster (VIS)
Research
Welcome! I am an Assistant Professor of Visual Analytics at the Eindhoven University of Technology working on Visual Analytics techniques for Networks, Events, and Explainable AI. For my PhD (cum laude) research, I developed visual analytics tools and techniques for the exploration of dynamic multivariate networks aimed at supporting both the data scientist and layman users. After and during my PhD I worked at SynerScope as VP engineering, leading the development team. I then spent time at Philips Research working on Artificial Intelligence solutions as product owner, leading a team of 15+ research scientists.
My research goal is to make visual analytics easier and available to a broader audience. Artificial Intelligence (AI) is here to stay and visual analytics enables it to enhance model trust, reduce bias and increase usability and transparancy.
Teaching
Courses 2022/2023
- JBI100 Visualization (lecturer)
- 2IMV00 Seminar Visualization (lecturer)
- JM0250 Data Visualization (Responsible lecturer)
Courses 2021/2022
- JBI100 Visualization (lecturer)
- 2IMV00 Seminar Visualization (lecturer)
- JM0250 Data Visualization (Responsible lecturer)
Courses 2020/2021
- 2IOA0 Design Based Learning - HTI + Webtech (Interactive Visualization of a Dynamic Network)
Publications
The Transform-and-Perform framework: Explainable deep learning beyond classification, Vidya Prasad, Ruud van Sloun, Stef van den Elzen, Anna Vilanova, Nicola Pezzotti, 2022, in IEEE Transactions on Visualization and Computer Grpahics, xx: xx-xxx doi
ModelWise: Interactive Model Comparison for Model Diagnosis, Improvement and Selection, Linhao Meng, Stef van den Elzen, Anna Vilanova, 2022, Computer Graphics Forum, 41: 97-108 doi
ChronoCorrelator: Enriching Events with Time Series, Martijn van Dortmont, Stef van den Elzen, Jarke J. van Wijk, 2019, Computer Graphics Forum, 38: 387-299 doi
Reducing Snapshots to Points: A Visual Analytics Approach to Dynamic Network Exploration, Stef van den Elzen, Jorik Blaas, Danny Holten, Jarke J. van Wijk, 2016, Visualization and Computer Graphics, IEEE Transactions on, Volume:22 , Issue: 1 (best paper award) doi
Data for Development Reloaded: Visual Matrix Techniques for the Exploration and Analysis of Massive Mobile Phone Data, Stef van den Elzen, Martijn van Dortmont, Jorik Blaas, Danny Holten, Willem van Hage, Jan-Kees Buenen, Jarke J van Wijk, Robert Spousta, Simone Sala, Steve Chan, Alison Kuzmickas, in Proceedings of the 4th International Conference on the Analysis of Mobile Phone Datasets, (NetMob 2015), Cambridge, MA, April 2015. (best visualization award)
Multivariate Network Exploration and Presentation: From Detail to Overview via Selections and Aggregations, Stef van den Elzen, Jarke J. van Wijk, Visualization and Computer Graphics, IEEE Transactions on, Volume:20 , Issue: 12 (best paper award) doi
Dynamic Network Visualization with Extended Massive Sequence Views, Stef van den Elzen, Danny Holten, Jorik Blaas, Jarke J. van Wijk, Visualization and Computer Graphics, IEEE Transactions on, Volume:20, Issue: 8, doi
Small Multiples, Large Singles: A New Approach for Visual Data Exploration, Stef van den Elzen, Jarke J. van Wijk, Eurographics Computer Graphics Forum (Proceedings of EuroVis 2013), 2013, doi
Exploration and Analysis of Massive Mobile Phone Data: A Layered Visual Analytics approach, Stef van den Elzen, Jorik Blaas, Danny Holten, Jan-Kees Buenen, Jarke J. van Wijk, Robert Spousta, Anna Miao, Simone Sala, Steve Chan in Proceedings of the 3rd International Conference on the Analysis of Mobile Phone Datasets, (NetMob 2013), Cambridge, MA, May 2013. (best visualization award) winning research
Reordering Massive Sequence Views: Enabling Temporal and Structural Analysis of Dynamic Networks, Stef van den Elzen, Danny Holten, Jorik Blaas, Jarke J. van Wijk, Proceedings of IEEE PacificVis 2013 (best paper award) doi
BaobabView: Interactive Construction and Analysis of Decision Trees, Stef van den Elzen, Jarke J. van Wijk, IEEE Conference on Visual Analytics Science and Technology (VAST), 2011, p. 151-160 doi
Extended abstracts
Visualizing group dynamics signals, Stef van den Elzen, Henri Hambartsumyan, Erik Kuijpers in Measuring Behavior '10: Proceedings of the 7th International Conference on Methods and Techniques in Behavioral research
Thesis
Interactive Visualization of Dynamic Multivariate Networks, Stef van den Elzen , PhD Thesis, Eindhoven University of Technology, 2015
Interactive construction, analysis and visualization of decision trees, Stef van den Elzen , MSc. Thesis, Eindhoven University of Technology, 2011