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Martin Falk

Associate Professor

Presentation

Martin Falk is a senior lecturer in the Scientific Visualization Group at Linköping University. He received his Ph.D. degree (Dr. rer. nat.) from the University of Stuttgart in 2013. His research interests include molecular visualization, large-scale volume rendering, visualizations in the context of cryoEM, pathology, and systems biology as well as visualizing uncertainty, large spatio-temporal data, and glyph-based rendering.

Publications

2023

Mark E Dieckmann, D. Folini, Martin Falk, Alexander Bock, Peter Steneteg, R. Walder (2023) Three-dimensional structure and stability of discontinuities between unmagnetized pair plasma and magnetized electron-proton plasma New Journal of Physics, Vol. 25, Article 063017 Continue to DOI
Anna-Leonie Menges, Maja Nackenhorst, Johannes R. Müller, Marie-Luise Engl, Renate Hegenloh, Jaroslav Pelisek, Ellen Geibelt, Anja Hofmann, Christian Reeps, Gabor Biro, Hans-Henning Eckstein, Alexander Zimmermann, Derek Magee, Martin Falk, Nadja Sachs, Albert Busch (2023) Completing the view - histologic insights from circular AAA specimen including 3D imaging Diagnostic Pathology, Vol. 18, Article 73 Continue to DOI
Martin Falk, Victor Tobiasson, Alexander Bock, Charles Hansen, Anders Ynnerman (2023) A Visual Environment for Data Driven Protein Modeling and Validation IEEE Transactions on Visualization and Computer Graphics Continue to DOI

2022

Robin Skånberg, Martin Falk, Mathieu Linares, Anders Ynnerman, Ingrid Hotz (2022) Tracking Internal Frames of Reference for Consistent Molecular Distribution Functions IEEE Transactions on Visualization and Computer Graphics, Vol. 28, p. 3126-3137 Continue to DOI

2021

Jonas Lukasczyk, Jakob Beran, Wito Engelke, Martin Falk, Anke Friederici, Christoph Garth, Lutz Hofmann, Ingrid Hotz, Petar Hristov, Wiebke Köpp, Talha Bin Masood, Małgorzata Olejniczak, Paul Rosen, Jan-Tobias Sohns, Tino Weinkauf, Kilian Werner, Julien Tierny (2021) Report of the TopoInVis TTK Hackathon: Experiences, Lessons Learned, and Perspectives Topological Methods in Data Analysis and Visualization VI: Theory, Applications, and Software, p. 359-373 Continue to DOI

News

Alexander Bock

Success for two online conferences

The organisers had planned for 1,000 participants at the two conferences in visualisation in Norrköping, Eurographics and Eurovis. But 2,300 registered, and they presented 100 streamed video sessions that have been viewed nearly 38,000 times. So far.

Publikationer

2023

Mark E Dieckmann, D. Folini, Martin Falk, Alexander Bock, Peter Steneteg, R. Walder (2023) Three-dimensional structure and stability of discontinuities between unmagnetized pair plasma and magnetized electron-proton plasma New Journal of Physics, Vol. 25, Article 063017 Continue to DOI
Anna-Leonie Menges, Maja Nackenhorst, Johannes R. Müller, Marie-Luise Engl, Renate Hegenloh, Jaroslav Pelisek, Ellen Geibelt, Anja Hofmann, Christian Reeps, Gabor Biro, Hans-Henning Eckstein, Alexander Zimmermann, Derek Magee, Martin Falk, Nadja Sachs, Albert Busch (2023) Completing the view - histologic insights from circular AAA specimen including 3D imaging Diagnostic Pathology, Vol. 18, Article 73 Continue to DOI
Martin Falk, Victor Tobiasson, Alexander Bock, Charles Hansen, Anders Ynnerman (2023) A Visual Environment for Data Driven Protein Modeling and Validation IEEE Transactions on Visualization and Computer Graphics Continue to DOI

2022

Robin Skånberg, Martin Falk, Mathieu Linares, Anders Ynnerman, Ingrid Hotz (2022) Tracking Internal Frames of Reference for Consistent Molecular Distribution Functions IEEE Transactions on Visualization and Computer Graphics, Vol. 28, p. 3126-3137 Continue to DOI

2021

Jonas Lukasczyk, Jakob Beran, Wito Engelke, Martin Falk, Anke Friederici, Christoph Garth, Lutz Hofmann, Ingrid Hotz, Petar Hristov, Wiebke Köpp, Talha Bin Masood, Małgorzata Olejniczak, Paul Rosen, Jan-Tobias Sohns, Tino Weinkauf, Kilian Werner, Julien Tierny (2021) Report of the TopoInVis TTK Hackathon: Experiences, Lessons Learned, and Perspectives Topological Methods in Data Analysis and Visualization VI: Theory, Applications, and Software, p. 359-373 Continue to DOI

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