Scientific Visualization

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

2024

Tobias Kauer, Derya Akbaba, Marian Dörk, Benjamin Bach (2024) Discursive Patinas: Anchoring Discussions in Data Visualizations
Peilin Yu, Aida Nordman, Marta Koc-Januchta, Konrad Schönborn, Lonni Besançon, Katerina Vrotsou (2024) Revealing Interaction Dynamics: Multi-Level Visual Exploration of User Strategies with an Interactive Digital Environment IEEE Transactions on Visualization and Computer Graphics (Article in journal) Continue to DOI
Mark E Dieckmann, Cesar Huete, Francesco Cobos, Antoine Bret, Doris Folini, Bengt Eliasson, Rolf Walder (2024) PIC simulation of a nonoscillatory perturbation on a subcritical fast magnetosonic shock wave Physica Scripta, Vol. 99, Article 115606 (Article in journal) Continue to DOI
Derya Akbaba, Lauren Klein, Miriah Meyer (2024) Entanglements for Visualization: Changing Research Outcomes through Feminist Theory IEEE Transactions on Visualization and Computer Graphics (Conference paper) Continue to DOI
Elias Elmquist, Malin Ejdbo, Alexander Bock, David S. Thaler, Anders Ynnerman, Niklas Rönnberg (2024) Birdsongification: Contextual and Complementary Sonification for Biology Visualization Proceedings of the International Conference on Auditory Display, p. 34-41 (Article in journal) Continue to DOI
Florian Wetzels, Talha Bin Masood, Nanna Holmgaard List, Ingrid Hotz, Christoph Garth (2024) Exploring Electron Density Evolution using Merge Tree Mappings EuroVis 2024 - Short Papers (Conference paper) Continue to DOI
Takanori Fujiwara, Kostiantyn Kucher, Junpeng Wang, Rafael M. Martins, Andreas Kerren, Anders Ynnerman (2024) Adversarial Attacks on Machine Learning-Aided Visualizations Journal of Visualization (Article in journal) Continue to DOI
Sylwia Wojno, Amit Kumar Sonker, Mohit Garg, Sahana Cooper, Mikael Rigdahl, Mathieu Linares, Igor Zozoulenko, Roland Kadar, Gunnar Westman (2024) Cellulose nanocrystal dispersions conjugated with symmetric and asymmetric dialkylamine groups Cellulose (Article in journal) Continue to DOI
Ihor Sahalianov, Tobias Abrahamsson, Diana Priyadarshini, Abdelrazek H. Mousa, Katriann Arja, Jennifer Y. Gerasimov, Mathieu Linares, Daniel T. Simon, Roger Olsson, Glib Baryshnikov, Magnus Berggren, Chiara Musumeci (2024) Tuning the Emission of Bis-ethylenedioxythiophene-thiophenes upon Aggregation Journal of Physical Chemistry B (Article in journal) Continue to DOI
Gabriel Eilertsen, Daniel Jönsson, Jonas Unger, Anders Ynnerman (2024) Model-invariant Weight Distribution Descriptors for Visual Exploration of Neural Networks en Masse EuroVis 2024 - Short Papers (Conference paper) Continue to DOI

Staff

Organisation