Scientific Visualization

Photographer: Thor Balkhed
Photo credits: 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

2026

Sofia Jarkman, Martin Lindvall, Claes Lundström, Darren Treanor, Jeroen van der Laak (2026) Designing AI tools for Pathology: A mixed-method study on user interfacedesign for breast cancer lymph node metastases detection Intelligence-Based Medicine, Vol. 14, Article 100396 (Article in journal) https://dx.doi.org/10.1016/j.ibmed.2026.100396
Shehryar Saharan, Ibrahim Al-Hazwani, Miriah Meyer, Laura Garrison (2026) A Critical Reflection on the Values and Assumptions in Data Visualization PROCEEDINGS OF THE 2026 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2026 (Conference paper) https://dx.doi.org/10.1145/3772318.3791501
Emilia Ståhlbom, Jesper Molin, Claes Lundström, Anders Ynnerman (2026) Exploring Content-Driven Axis Compression for Visualization of Heterogeneous Data IEEE Transactions on Visualization and Computer Graphics, Vol. 32, p. 6623-6634 (Article in journal) https://dx.doi.org/10.1109/TVCG.2026.3685502
Elena Farahbakhsh Touli, Ingrid Hotz, Talha Bin Masood (2026) Towards Computing Average Merge Tree Based on the Interleaving Distance 42nd European Workshop on Computational Geometry, p. 23:1-23:9, Article 23 (Conference paper)
Petar Hristov, Ingrid Hotz, Talha Bin Masood (2026) Singular Arrange and Traverse Algorithm for Computing Reeb Spaces of Bivariate PL Maps 42nd International Symposium on Computational Geometry (SoCG 2026), p. 57:1-57:17, Article 57 (Conference paper) https://dx.doi.org/10.4230/LIPIcs.SoCG.2026.57
Mark E Dieckmann (2026) Early phase of shock formation in pair plasma colliding with electron-proton plasma Scientific Reports, Vol. 16, Article 22969 (Article in journal) https://dx.doi.org/10.1038/s41598-026-62899-0
J. Rogers, D. Akbaba, J. S. Brown, A. Lex, Miriah Meyer (2026) Reflections on Traceability for Visualization Research Computer graphics forum (Print) (Article in journal) https://dx.doi.org/10.1111/cgf.70445
D. Akbaba, C. Svensson, C. Torelli, M. Callmeryd, Miriah Meyer (2026) Thinking Inside the Box: Considerations for Putting Data Physicalization Workshops in a Box Computer graphics forum (Print) (Article in journal) https://dx.doi.org/10.1111/cgf.70453
M. Evers, A. Naseer, T. G. Murthy, V. Natarajan, Talha Bin Masood, D. Weiskopf, Ingrid Hotz (2026) Uncertainty-Aware Visual Analysis of Force Networks in 2D Granular Materials Computer graphics forum (Print) (Article in journal) https://dx.doi.org/10.1111/cgf.70438
J. D. Riordan, Mark E Dieckmann, A. Pe'er (2026) Formation and evolution of pair-Alfvén shocks with PIC simulations Physics of Plasmas, Vol. 33, Article 052301 (Article in journal) https://dx.doi.org/10.1063/5.0296716

Staff

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