Präsentation
In diesem VRVis-Forum begrüßen wir zwei Vortragende von der Eindhoven University of Technology (TU/e): Sanne van der Linden und Stef van den Elzen.
1st Lecture
Title: Visualization for event sequence data
Abstract: Event sequence data occurs in many domains, ranging for example from healthcare to factory data and is closely related to process mining data. Event data are discrete activities that occur over time with a event category, timestamp, possible other data attributes and a possible duration. These events are chronologically ordered in time and happen to an entity, also called a case. For example, medication events over time of a patient (case). Multiple of these sequences form a sequence collection, often sharing a similar topic, e.g., patients with the similar diseases. There are still several challenges for analysing this data and users’ domain-knowledge is needed to get relevant insights out of the data. For example, how to deal with many sequences, long sequences, high dimensional events, or how can visualization help with process mining problems. In my PhD, we try to address several of these challenges related to scalability (long sequences or many event attributes), flexibility (how do we define a sequence), comparison (of sequences and visualization methods), conformance checking, and streaming sequences (human performance).
Bio: Sanne van der Linden is a PhD candidate from the Netherlands (Eindhoven University of Technology (TU/e)) in the visualization/visual analytics group from Anna Vilanova. She is currently in Vienna for two months to collaborate with Silvia Miksch. Sanne van der Linden is in her fourth year of her PhD focused around the visualization of event sequence data. Stef van den Elzen and Anna Vilanova are her supervisors. She also studied at the TU/e. She originally has a bachelor in Industrial Design. Afterward, she did a double master in Industrial Design and Computer Science.
2nd Lecture
Title: Visual Analytics to understand Complex (AI) Data
Abstract: In this talk, Stef van den Elzen will give an overview of his own and his 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: Stef van den Elzen is an Assistant Professor of Visual Analytics at the Eindhoven University of Technology working on Visual Analytics techniques for Networks, Events, and Explainable AI. For his PhD (cum laude) research, he 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 his PhD he worked at SynerScope as VP engineering, leading the development team. He then spent time at Philips Research working on Artificial Intelligence solutions as product owner, leading a team of 15+ research scientists.
Dieser Vortrag findet im VRVis-Büro statt. Eine Online-Teilnahme ist ebenfalls möglich. Für die Online-Zugangsdaten kontaktieren Sie bitte office(at)vrvis.at!
Dieser Vortrag findet online statt. Für die Zugangsdaten kontaktieren Sie bitte office(at)vrvis.at!