| seit 2026 | Professor für Informatik, insbesondere Künstliche Intelligenz und Data Science, Leibniz FH, Hannover |
| 2025 – 2026 | Privatdozent für Visualisierung und Computergrafik, Universität Münster |
| 2023 – 2025 | Wissenschaftlicher Mitarbeiter, Universität Münster |
| 2022 – 2023 | Softwareentwickler, EVIDENT Technology Center Europe GmbH, Münster |
| 2018 – 2021 | Wissenschaftlicher Mitarbeiter, Universität Münster |
| 2017 – 2018 | Leiter der Programmierung und Entwicklung in Automation, Booster Precision Components (Schwanewede) GmbH |
| 2014 – 2017 | Leiter Forschung und Entwicklung, Bendiks Engineering GmbH & Co. KG, Osterholz-Scharmbeck |
| 2008 – 2014 | Post-Doctoral Fellow, Jacobs University, Bremen |
| 2025 | Venia Legendi für Visualisierung und Computergrafik, Universität Münster |
| 2008 | Doctor of Philosophy (PhD) in Mathematik, Jacobs University, Bremen |
| 2005 | Master of Science in Mathematik, Staatliche Universität Nowosibirsk, Russland |
| 2003 | Bachelor of Science in Mathematik, Staatliche Universität Nowosibirsk, Russland |
Prof. Dr. Vladimir Molchanov
Professor für Informatik, insbes. Künstliche Intelligenz und Data Science
- Planung und Durchführung von Lehrveranstaltungen
- Durchführung von Forschungs- und Studierendenprojekten
Curriculum Vitae
Forschungsschwerpunkte
- Visualization
- Visual Analytics
- Machine Learning
- Dimensionality Reduction
Lehrerfahrung
| Zeitraum | Beschreibung |
| 2020 | Java-Kurs, Universität Münster |
| 2017 | Computer Graphics, Jacobs University Bremen |
| 2014 | Operating Systems Lab, Jacobs University Bremen |
| 2014 | NatSciLab Unit Programming in Python II, Jacobs University Bremen |
| 2012 | Numerical Methods, Jacobs University Bremen |
Publikationen
| Santos, T. S. R.; Paulovich, F. V.; Linsen, L.; de Oliveira, M. C. F.
Visualizing temporal behavior in multifield particle simulationsn Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2013), pp. 573–582. INSTICC, SciTePress, 2013.
| Rosenthal, P.; Linsen, L.
SmoothIsoPoints: Making PDE-based surface extraction from point-based volume data fastIn Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, pp. 17–28. INSTICC, SciTePress, 2018.
| Jawad, M.; L. Linsen.
Coordinated image- and feature-space visualization for interactive magnetic resonance spectroscopy imaging data analysisIn Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, pp. 118–128. INSTICC, SciTePress, 2019.
| Rave, H.; Linsen L.
Axes Bundling and Brushing in Star CoordinatesIn B. Andres, M. Campen, and M. Sedlmair, eds., Vision, Modeling, and Visualization. The Eurographics Association, 2021.
Fachzeitschriften | Oliver, M.
Convergence of the Hamiltonian Particle-Mesh Method for barotropic fluid flow.Mathematics of Computation, 82(282):861–891, April 2013.
Fachzeitschriften | Fofonov, A.; Linsen, L.
Continuous representation of projected attribute spaces of multifields over any spatial samplingComputer Graphics Forum, 33(3):301–310, June 2013.
Fachzeitschriften | Linsen, L.
Interactive Design of Multidimensional Data Projection LayoutIn Proceedings of EuroVis 2014 – Short Papers, pp. 25–29, June 2014.
Fachzeitschriften | Fofonov, A,; Linsen, L.
Visual analysis of multi-run spatio-temporal simulations using isocontour similarity for projected views.in IEEE Transactions on Visualization and Computer Graphics, 22(8):2037–2050, August 2016.
Fachzeitschriften | Shahid, M. L. U. R.; Chitiboi, T.; Ivanovska, T.; V¨olzke, H.; Linsen, L.
Automatic MRI segmentation of para-pharyngeal fat pads using interactive visual feature space analysis for classificationBMC Medical Imaging, 17(15), February 2017.
BMC Medical Imaging, 17(15), February 2017.
LINK ÖFFNEN Fachzeitschriften | L. Linsen.
Upsampling for improved multidimensional attribute space clustering of multifield dataInformation, 9(7), 2018.
Fachzeitschriften | L. Linsen.
Shape-preserving star coordinatesIEEE Transactions on Visualization and Computer Graphics, 25(1):449–458, 2019.
Fachzeitschriften | Linsen, L.
In Journal of WSCG, 28(1–2):18–26, July 2020.
Fachzeitschriften | Shahid, M. L. U. R.; Mir, J.; Shaukat, F.; L. Linsen
Interactive visual analytics tool for multidimensional quantitative and categorical data analysisInformation Visualization, pp. 1–13, May 2020.
Interactive visual analytics tool for multidimensional quantitative and categorical data analysis. Information Visualization, pp. 1–13, May 2020.
LINK ÖFFNEN Fachzeitschriften | Machicao, J.; Ngo, Q. Q.; L. Linsen.; O. Bruno
A visual analysis method of randomness for classifying and ranking pseudo-random number generatorsInformation Sciences, 558:1–20, 2021
Fachzeitschriften | H. Rave,; L. Linsen
Uniform sample distribution in scatterplots via sector-based transformationIn 2024 IEEE Visualization and Visual Analytics (VIS), pp. 156–160, 2024.
Fachzeitschriften | Leistikow, S.; Linsen, L.;
Improving comparability of temporal evolution in 2D embeddings of ensemble dataIn Proceedings WSCG 2025, pp. 129–138. Pilsen, Czech Republic, July 2025.
Fachzeitschriften | Rave, H.; Linsen, L.; Molchanov, V.
De-cluttering scatterplots with integral imagesIEEE Transactions on Visualization and Computer Graphics, 31(4):2114–2126, 2025.
Fachzeitschriften | Rave, H.; Linsen, L.; Molchanov, V.
Efficient regularization-based normalization for interactive multidimensional data analysis without scaling artifactsJournal of WSCG, 33(1-2):43–52, July 2025.
Fachzeitschriften |
Riemannian inhomogeneity and anisotropy of perceptual color spaceIn EuroVis 2025 - Short Papers. The Eurographics Association, June 2025.
Fachzeitschriften | Cutura, R.; Rave, H.; Ngo, Q.,Q.; Linsen, L.; Weiskopf, D.; Sedlmair, M.; Molvanov, V.
SiGrid: Gridifying scatterplots with sector-based regularization and HagridIn 2025 IEEE Visualization and Visual Analytics (VIS), pp. 131–135, 2025.
Fachzeitschriften | Rave, H.; Tatsukawa, Y.; Molchanov, V.
Multiresolution Density-Equalizing Transformation for Scatterplots.IEEE Transactions on Visualization and Computer Graphics, 2026.
Beiträge in Sammelbänden | Evers, M.; Herick, M; L. Linsen
Coherent topological landscapes for simulation ensemblesIn K. Bouatouch, A. A. de Sousa, M. Chessa, A. Paljic, A. Kerren, C. Hurter, G. M. Farinella, P. Radeva, and J. Braz, eds., Computer Vision, Imaging and Computer Graphics Theory and Applications, pp. 223–237. Springer International Publishing, Cham, 2022.
weitere Beiträge |
Axial-symmetry flow through a permeable horizontal layerSiberian Journal of Pure and Applied Mathematics, 5(1):31–39, 2005. In Russian
weitere Beiträge |
Particle-Mesh and Meshless Methods for a Class of Barotropic FluidsPhD dissertation, Jacobs University Bremen, School of Engineering and Science, September 2008
weitere Beiträge | Chitiboi, T.; Linsen, L.
Visual analysis of medical image segmentation feature space for interactive supervised classification.In Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM, pp. 11–19, September 2015.
weitere Beiträge |
Interactive Linear Projections for Multidimensional Data with Spatial Connectivity.Habilitation, University of Münster, April 2024
Konferenzbeiträge | Rosenthal, P.; Linsen, L.
A narrow band level set method for surface extraction from unstructured point-based volume dataIn V. Skala, ed., WSCG The 18th International Conference on Computer Graphics, Visualization and Computer Vision’2010. UNION Agency – Science Press, Plzen, Czech Republic, February 2010.
Konferenzbeiträge | Rosenthal, P.; Linsen, L.
Non-iterative second-order approximation of signed distance function for any isosurface representationIn Computer Graphics Forum, 29(3):1211–1220, 2010.
Konferenzbeiträge | Rosenthal, P.; Linsen, L.; Long, T.V.
Variational Level-Set Detection of Local Isosurfaces from Unstructured Point-based Volume DataIn H. Hagen, ed., Scientific Visualization: Interactions, Features, Metaphors, vol. 2 of Dagstuhl Follow-Ups, pp. 222–239. Schloss Dagstuhl–Leibniz-Zentrum für Informatik, Dagstuhl, Germany, 2011.
Konferenzbeiträge | Fofonov, A.; Rosswog, S.; Rosenthal, P.; Linsen, L.
SmoothViz: an interactive visual analysis system for SPH dataIn Proceedings of the 8th International SPHERIC Workshop, pp. 350–356, June 2013
Konferenzbeiträge | Linsen, L.
Visual exploration of patterns in multi-run time-varying multi-field simulation data using projected viewsIn Proceedings WSCG 2014, pp. 39–48. Pilsen, Czech Republic, June 2014.
Konferenzbeiträge | Shahid, M. L. U. R.; Chitiboi, T.; Ivanovska, T.; V¨olzke, H.; Linsen, L.
Automatic pharynx segmentation from MRI data for obstructive sleep apnea analysisIn Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP), 2015.
Konferenzbeiträge | L. Linsen
Overcoming the curse of dimensionality when clustering multivariate volume dataIn Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, pp. 29–39. INSTICC, SciTePress, 2018.
Konferenzbeiträge | L. Linsen.
Generation of implicit flow representations for interactive visual exploration of flow fieldsV. Molchanov and L. Linsen. Generation of implicit flow representations for interactive visual exploration of flow fields. In Full Paper Proceedings WSCG 2018, pp. 20–29. Pilsen, Czech Republic, May 2018.
Konferenzbeiträge | Jawad, M.; Linsen, L.
A reproducibility study for visual MRSI data analytics14th International Joint Conference, VISIGRAPP 2019, Prague, Czech Republic, February 25–27, 2019.
Konferenzbeiträge | Herick, M.; Linsen, L.
Temporally coherent topological landscapes for time-varying scalar fields.In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications – Volume 3: IVAPP, pp. 54–61. INSTICC, SciTePress, January 2020.
Konferenzbeiträge | Hamid, S.; L. Linsen.
Efficient morphing of shape-preserving star coordinatesIn 2020 IEEE Pacific Visualization Symposium (PacificVis), pp. 136–145. IEEE, June 2020.
referierter Konferenzbeitrag | Oliver, M.
Convergence of the hamiltonian particle-mesh method applied to barotropic fluid equationsIn Special Issue: 79th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), vol. 8, pp. 10127–10128. Bremen, Germany, December 2008.
referierter Konferenzbeitrag | Peeters, B.; Oliver, M.; Bokhove, O.
On the rate of convergence of the Hamiltonian Particle-Mesh MethodIn M. Griebel and M. Schweitzer, eds., Meshfree Methods for Partial Differential Equations VI, vol. 89 of Lecture Notes in Computational Science and Engineering, pp. 25–43. Springer Berlin Heidelberg, January 2013.
referierter Konferenzbeitrag | Pocco, X.; Hassan, W.; Vilca, K.; Nonato L.G.; Molchanov, V.
Exploring urban factors with autoencoders: Relationship between static and dynamic featuresIn 2025 38th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 1–6, 2025.
Chapter | Linsen, L.; Dobrev, P.; Rosswog, P.; Rosenthal, P.; Long, T.V.
Smoothviz: Visualization of smoothed particle hydrodynamics dataIn Hydrodynamics — Optimizing Methods and Tools, pp. 3–28. InTech, October 2011, H. Schulz, ed.,