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Katerina Vrotsou

Associate Professor, Docent

Publications

2025

L. Zimmermann, F. Zerbato, Katerina Vrotsou, B. Weber (2025) A Process-Oriented Approach to Analyze Analysts' Use of Visualizations: Revealing Insights into the What, When, and How Computer graphics forum (Print) (Article in journal) Continue to DOI
Carlo Navarra, Kostiantyn Kucher, Tina-Simone Neset, Clara Greve Villaro, Fredrik Schück, Jonas Unger, Katerina Vrotsou (2025) Leveraging Visual Analytics of Volunteered Geographic Information to Support Impact-Based Weather Warning Systems International Journal of Disaster Risk Reduction, Vol. 126, Article 105562 (Article in journal) Continue to DOI
Peilin Yu, Aida Nordman, Marta Koc-Januchta, Konrad Schönborn, Lonni Besançon, Katerina Vrotsou (2025) Revealing Interaction Dynamics: Multi-Level Visual Exploration of User Strategies with an Interactive Digital Environment IEEE Transactions on Visualization and Computer Graphics, Vol. 31, p. 831-841 (Article in journal) Continue to DOI

2024

Tina-Simone Neset, Katerina Vrotsou, Lotta Andersson, Carlo Navarra, Fredrik Schück, Magnus Mateo Edström, Caroline Rydholm, Clara Greve Villaro, Kostiantyn Kucher, Björn-Ola Linnér (2024) Artificial Intelligence in Support of Weather Warnings and Climate Adaptation Climate Risk Management, Vol. 46, Article 100673 (Article in journal) Continue to DOI
Elmira Zohrevandi, Katerina Vrotsou, Carl Westin, Jonas Lundberg, Anders Ynnerman (2024) Design of a Real-Time Visual Analytics Decision Support Interface to Manage Air Traffic Complexity 2024 IEEE VISUALIZATION AND VISUAL ANALYTICS, VIS, p. 301-305 (Conference paper) Continue to DOI

Research

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Media and Information Technology

The research at MIT is conducted in groups that focuses on a separate aspect of visual information technology, but not isolated from each other. The collaborative atmosphere involves both basic and application oriented research.
Graphics

Information Visualization

The group focuses on the explorative analysis and visualization of typically large and complex information spaces. We develop novel interactive visualization methods and tools that are able to efficiently support analysts from various domains.
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Exploring the potential of generative AI based data synthesis for the future energy system: data, models, biases and implications

This project explores how synthetic data can improve the understanding and forecasting of energy use from different perspectives, to contribute to a more sustainable, resilient, and inclusive housing for the future.

Organisation

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Media and Information Technology (MIT)

At the division of Media and Information Technology we do exciting and well-known research and teaching at undergraduate as well as graduate levels.
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Department of Science and Technology (ITN)

We research and teach in several technical and scientific disciplines in which our main areas are organic electronics, media, communications and logistics.

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