Speaker: van den Elzen, Stef (Eindhoven University of Technology )
Abstract
in this talk, I will give an overview of my own and my student's work from the visualization and visual analytics group of the Eindhoven University of Technology, The Netherlands. One focus of our group is to develop new visual representations and interaction techniques for the analysis of dynamic multivariate networks. Another focus area is visualization and interaction for explainable artificial intelligence (XAI). For both areas, a variety of examples are shown using animations and demos. Furthermore, challenges for future exploration are presented.
Bio
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 transparency.