Photo of Jochen Jankowai

Jochen Jankowai


After receiving my Masters degree from Linköping University in 2016, I started a position as Research Engineer for the open source visualization software Inviwo, primarily developed by the Scientific Visualization group at Media and Information Technology, LiU. Subsequently, I switched to a PhD position to further pursue my academic interests.

Coming from a background in languages, I have a keen interest in transporting the question of how to beautifully encode intent and information from spoken to visual language.
Synonymously, this task becomes more engaging, the more complex the message/data is. Will say, I am tackling the challenge of conveying complex data that is not intuitively comprehensible, and application-driven exploration of high-dimensional, high-order data.

Therefore, my research focuses specifically on tensor field exploration, and feature space exploration and analysis.



Chiara Hergl, Christian Blecha, Vanessa Kretzschmar, Felix Raith, Fabian Gunther, Markus Stommel, Jochen Jankowai, Ingrid Hotz, Thomas Nagel, Gerik Scheuermann (2021) Visualization of Tensor Fields in Mechanics Computer graphics forum (Print), Vol. 40, p. 135-161 Continue to DOI


Jochen Jankowai, Robin Skånberg, Daniel Jönsson, Anders Ynnerman, Ingrid Hotz (2020) Tensor volume exploration using attribute space representatives
Jochen Jankowai, Ingrid Hotz (2020) Feature Level-Sets: Generalizing Iso-surfaces to Multi-variate Data IEEE Transactions on Visualization and Computer Graphics, Vol. 26, p. 1308-1319 Continue to DOI


Jochen Jankowai, Bei Wang, Ingrid Hotz (2019) Robust Extraction and Simplification of 2D Symmetric Tensor Field Topology Computer graphics forum (Print), Vol. 38, p. 337-349 Continue to DOI


Jochen Jankowai, Rickard Englund, Timo Ropinski, Ingrid Hotz (2016) Interactive 4D MRI blood flow exploration and analysis using line predicates Proceedings of SIGRAD 2016: May 23rd and 24th, Visby, Sweden, p. 35-42