Scientific Visualization

Photo credits: Thor Balkhed Photographer: Thor Balkhed

The group Scientific Visualization is a part of the division for Media and Information Technology (MIT). 

The group activities range from basic research questions to effective solution of visualization problems originating from diverse application areas. This is developing novel analysis, visualization and exploration techniques for a better understanding and communication of large data.

The applications include fluid-flow simulations, molecular dynamics, digital pathology, material sciences, astronomy, space missions and many medical topics. We develop methods for rendering, analysis and exploration of complex data including scalar, vector and tensor fields.

The research builds on ideas and methods from different areas of computer sciences and mathematics, such as computer graphics, computer vision, dynamical systems, computational geometry, and combinatorial topology.

Research areas

  • Molecular visualization
  • Visualization in medicine
  • Interactive volume rendering
  • Digital Pathology
  • Astronomy visualization
  • OpenSpace: Visualization of space missions
  • Flow visualization in engineering and medicine
  • Topological methods for data analysis
  • Tensor field visualization
  • Software Inviwo – an extensible, multi-purpose visualization framework

Latest publications

2025

Emilia Ståhlbom, Jesper Molin, Claes Lundström, Anders Ynnerman (2025) Visualization for Diagnostic Review of Copy Number Variants in Complex DNA Sequencing Data IEEE Transactions on Visualization and Computer Graphics, Vol. 31, p. 2211-2222 (Article in journal) Continue to DOI
Mark E Dieckmann, Margaux François, Xavier Ribeyre, Emmanuel d'Humieres (2025) Verification that electrons are isothermal and protons adiabatic for ion-acoustic waves in unmagnetized collisionless PIC simulation plasma Physics of Plasmas, Vol. 32, Article 024502 (Article in journal) Continue to DOI
Toshit Jain, Upkar Singh, Varun Singh, Vijay Kumar Boda, Ingrid Hotz, Sathish S. Vadhiyar, P. N. Vinayachandran, Vijay Natarajan (2025) A Scalable System for Visual Analysis of Ocean Data Computer graphics forum (Print) (Article in journal) Continue to DOI
Tobias Kauer, Derya Akbaba, Marian Dörk, Benjamin Bach (2025) Discursive Patinas: Anchoring Discussions in Data Visualizations IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, Vol. 31, p. 1246-1256 (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
Derya Akbaba, Lauren Klein, Miriah Meyer (2025) Entanglements for Visualization: Changing Research Outcomes through Feminist Theory IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, Vol. 31, p. 1279-1289 (Article in journal) Continue to DOI
Takanori Fujiwara, Kostiantyn Kucher, Junpeng Wang, Rafael M. Martins, Andreas Kerren, Anders Ynnerman (2025) Adversarial Attacks on Machine Learning-Aided Visualizations Journal of Visualization, Vol. 28, p. 133-151 (Article in journal) Continue to DOI

2024

Lonni Besançon, Brian A. Nosek, Tamarinde Haven, Miriah Meyer, Cody Dunne, Mohammad Ghoniem (2024) Merits and Limits of Preregistration for Visualization Research 2024 IEEE EVALUATION AND BEYOND-METHODOLOGICAL APPROACHES FOR VISUALIZATION, BELIV 2024, p. 89-96 (Conference paper) Continue to DOI
Conny Walchshofer, Vaishali Dhanoa, Marc Streit, Miriah Meyer (2024) Transitioning to a Commercial Dashboarding System: Socio-Technical Observations and Opportunities IEEE Transactions on Visualization and Computer Graphics, Vol. 30, p. 381-391 (Article in journal) Continue to DOI
Hsiao-Ying Lu, Takanori Fujiwara, Ming-Yi Chang, Yang-chih Fu, Anders Ynnerman, Kwan-Liu Ma (2024) Visual Analytics of Multivariate Networks with Representation Learning and Composite Variable Construction IEEE Transactions on Visualization and Computer Graphics, p. 1-16 (Article in journal) Continue to DOI

Staff

Organisation