Photo of Andreas Kerren

Andreas Kerren

Professor, Head of Unit

Professor of Information Visualization and Chair of the Information Visualization Group (iVis)

Research in Visualization and Visual Analytics

My research mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in biochemistry, humanities, or software engineering. My vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use of data-intensive technologies.

Human-Centered Visualization

This area deals with the development of interactive visualization techniques in consideration of user- and task-related information to explore and analyze complex data sets efficiently. Sensor data measured during the usage of a visualization (e.g., from brain-computer interfaces, eye trackers, etc.) may also be involved. This approach combines aspects of different research areas, such as information and scientific visualization, human-computer interaction, information design, cognition, but also the particular application field. From all subfields of visualization, I mainly focus on information visualization which centers on the visualization of abstract data, e.g., hierarchical, networked, or symbolic information sources. While the development of human-centered information visualizations, user abilities and requirements, visualization tasks, tool functions, interactive features, and suitable visual representations are equally taken into account.

Visual Analytics

In contrast to visualization, data mining or machine learning are traditionally more computer-centered. But to address the big data challenge, we have to use the advantages of both approaches synergistically, which is the main feature of visual analytics. Then, the analyst can focus his/her perceptual and cognitive capabilities on the analytical processes while using advanced computational methods to support and enhance the discovery process. The design and implementation of visual analytics tools is one of the most promising approaches to cope with the ever increasing amount of data produced every day and allows new insights and beneficial discoveries.

Positions and Affiliations 

For more information, please visit my Personal Website.

Publications

2024

Angelos Chatzimparmpas, Kostiantyn Kucher, Andreas Kerren (2024) Visualization for Trust in Machine Learning Revisited: The State of the Field in 2023 IEEE Computer Graphics and Applications Continue to DOI
Nico Reski, Aris Alissandrakis, Andreas Kerren (2024) Designing a 3D gestural interface to support user interaction with time-oriented data as immersive 3D radar charts Virtual Reality, Vol. 28, Article 30 Continue to DOI
Melanie Conroy, Christina Gillmann, Francis Harvey, Tamara Mchedlidze, Sara Irina Fabrikant, Florian Windhager, Gerik Scheuermann, Timothy R. Tangherlini, Christopher N. Warren, Scott B. Weingart, Malte Rehbein, Katy Börner, Kimmo Elo, Stefan Jänicke, Andreas Kerren, Martin Nöllenburg, Tim Dwyer, Øyvind Eide, Stephen Kobourov, Gregor Betz (2024) Uncertainty in humanities network visualization Frontiers in Communication, Vol. 8, Article 1305137 Continue to DOI
Stefan P. Feyer, Bruno Pinaud, Stephen Kobourov, Nicolas Brich, Michael Krone, Andreas Kerren, Michael Behrisch, Falk Schreiber, Karsten Klein (2024) 2D, 2.5D, or 3D? An Exploratory Study on Multilayer Network Visualisations in Virtual Reality IEEE Transactions on Visualization and Computer Graphics, Vol. 30, p. 469-479 Continue to DOI

2023

Daniel Witschard, Ilir Jusufi, Kostiantyn Kucher, Andreas Kerren (2023) Visually Guided Network Reconstruction Using Multiple Embeddings Proceedings of the 16th IEEE Pacific Visualization Symposium (PacificVis '23), visualization notes track, IEEE, 2023, p. 212-216 Continue to DOI

Education

  • PhD in Computer Science, Saarland University, Germany, 2002
  • MSc in Computer Science (Dipl.-Inf.), Saarland University, Germany, 1997