Katerina Vrotsou

Associate Professor, Docent

Publications

2026

Nico Reski, Carlo Navarra, Lotten Wiréhn, Tina-Simone Neset, Aris Alissandrakis, Aitor Aldama Campino, Fuxing Wang, Isabel Ribeiro, Jorge H. Amorim, Andreas Kerren, Katerina Vrotsou (2026) Virtual Reality, Vol. 30, Article 7 (Article in journal)

Francesca Zerbato, Lisa Zimmermann, Katerina Vrotsou, Barbara Weber (2026) Information Systems, Vol. 135, Article 102596 (Article in journal)

2025

L. Zimmermann, F. Zerbato, Katerina Vrotsou, B. Weber (2025) Computer graphics forum (Print), Vol. 44, Article e70104 (Article in journal)

Carlo Navarra, Kostiantyn Kucher, Tina-Simone Neset, Clara Greve Villaro, Fredrik Schück, Jonas Unger, Katerina Vrotsou (2025) International Journal of Disaster Risk Reduction, Vol. 126, Article 105562 (Article in journal)

Peilin Yu, Aida Nordman, Marta Koc-Januchta, Konrad Schönborn, Lonni Besançon, Katerina Vrotsou (2025) IEEE Transactions on Visualization and Computer Graphics, Vol. 31, p. 831-841 (Article in journal)

Research

Portrait of Anders Ynnerman presenting in the dome theatre.

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.

Climate research presented in the Norrk枚ping Decision Arena

Exploring the transformative potential of climate services

The project explores how next-generation climate services can support societal transformation through data, visualisation and communication 鈥� with a focus on energy, agriculture and urban planning.

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.

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

People watching a show in a dome theatre

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.

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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