Prof. Dr. rer. nat. habil. Timo Ropinski

Prof. Ropinski heads the Visual Computing Group at Ulm University. Before moving to Ulm, he was Professor in Interactive Visualization at Linköping University in Sweden where he was heading the Scientific Visualization Group. Prof. Ropinski has received his Ph.D. in computer science in 2004 from the University of Münster, where he has also completed his habilitation in 2009.

Research Interests

The focus of the Visual Computing Group is on interactive visualization and visual analytics, whereby new insights are derived from existing data. Therefore, we develop and evaluate visual data analysis methods to make big and complex data comprehensible. Our results are new algorithms and interactive software. We apply our work in medicine and the natural sciences (astronomy, biology and physics) as well as in areas such as cultural heritage and disaster management. Besides desktop systems, our solutions are designed for mobile devices, head-mounted displays and our Powerwall setup.


In the current/upcoming semester I am offering the following courses:

We also continuously offer interesting topics for bachelor and master theses. Information about the procedure and examples for current topics can be found at our thesis topics site.

Scientific Activities


International Program Committees:

  • IEEE Scientific Visualization (SciVis)
  • IEEE Symposium on Biological Data Visualization (BioVis)
  • IEEE Pacific Visualization (PaVis)
  • Eurographics/VGTC Conference on Visualization (EuroVis)
  • Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM)
  • Eurographics Conference (EG)
  • Computer Graphics International (CGI)
  • Image and Vision Computing New Zealand (IVCNZ)
  • Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (GRAPP)
  • SIGRAD Conference on Interactive Visual Analytics
  • Spring Conference on Computer Graphics (SCCG)
  • Vision Modeling and Visualization (VMV)

University Administration (German)



[English] C. Baldauf, A. Bäuerle, T. Ropinski, V. Rasche and I. Vernikouskaya, "Convolutional neural network (CNN) applied to respiratory motion detection in fluoroscopic frames", International Journal of Computer Assisted Radiology and Surgery, vol. 14, pp. 14-15, May 2019.
DOI: 10.1007/s11548-019-01969-3
P. Hermosilla, S. Maisch, T. Ritschel and T. Ropinski, "Deep-learning the Latent Space of Light Transport", Computer Graphics Forum (Proc. EGSR 2019), 2019.
D. Jonsson, P. Steneteg, E. Sundén, R. Englund, S. Kottravel, M. Falk, A. Ynnerman, I. Hotz and T. Ropinski, "Inviwo - A Visualization System with Usage Abstraction Levels", IEEE Transactions on Visualization and Computer Graphics, pp. 1-14, 2019.
DOI: 10.1109/TVCG.2019.2920639
S. Besenthal, S. Maisch and T. Ropinski, "Multi-Resolution Rendering for Computationally Expensive Lighting Effects" in International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision, May 2019, pp. 8.
A. Bäuerle and T. Ropinski, "Net2Vis: Transforming Deep Convolutional Networks into Publication-Ready Visualizations", arXiv:1902.04394, 2019.
P. Hermosilla, T. Ritschel and T. Ropinski, "Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning", International Conference on Computer Vision 2019 (ICCV 2019), 2019.
A. Bäuerle, H. Neumann and T. Ropinski, "Training De-Confusion: An Interactive, Network-Supported Visual Analysis System for Resolving Errors in Image Classification Training Data", arXiv:1808.03114, 2019.
S. Hartwig and T. Ropinski, "Training Object Detectors on Synthetic Images Containing Reflecting Materials", arXiv:1904.00824, 2019.
J. Kreiser, P. Hermosilla and T. Ropinski, "Void Space Surfaces to Convey Depth in Vessel Visualizations", IEEE Transactions on Visualization and Computer Graphics, 2019.


P. Hermosilla, P. Vazquez, Vinacua and T. Ropinski, "A General Illumination Model for Molecular Visualization", Computer Graphics Forum (Proceedings of EuroVis 2018), 2018.
S. Bruckner, T. Isenberg, T. Ropinski and A. Wiebel, "A Model of Spatial Directness in Interactive Visualization", IEEE Transactions on Visualization and Computer Graphics (TVCG), 2018.
J. Kreiser, M. Meuschke, G. Mistelbauer, B. Preim and T. Ropinski, "A Survey of Flattening-Based Medical Visualization Techniques", Computer Graphics Forum (Proceedings of EuroVis 2018), 2018.
J. Kreiser, A. Hann, E. Zizer and T. Ropinski, "Decision Graph Embedding for High-Resolution Manometry Diagnosis", IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE VIS 2017), 2018.
P. Hermosilla, S. Maisch, T. Ritschel and T. Ropinski, "Deep-learning the Latent Space of Light Transport", arxiv pre-print, 2018.
K. Shaga Devan, P. Walther, J. von Einen, T. Ropinski, H. Kestler and C. Read, "Detection of Herpesvirus Capsids in Transmission Electron Microscopy Images using Transfer Learning", Histochemistry and Cell Biology, 2018.
P. Hermosilla, S. Maisch, P. Vazquez and T. Ropinski, "Improving Perception of Molecular Surface Visualizations by Incorporating Translucency Effects", Proocedings of VCBM 2018, 2018.
P. Hermosilla, T. Ritschel, P. Vazquez, Vinacua and T. Ropinski, "Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds", ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia 2018), vol. 37, no. 6, 2018.
DOI: 10.1145/3272127.3275110
J. Heer, H. Leitte and T. Ropinski, "Proceedings of the Eurographics Conference on Visualization" in Computer Graphics Forum, 2018.
R. Englund and T. Ropinski, "Quantitative and Qualitative Analysis of the Perception of Semi-Transparent Structures in Direct Volume Rendering", Computer Graphics Forum, 2018.
P. Henzler, V. Rasche, T. Ropinski and T. Ritschel, "Single-image Tomography: 3D Volumes from 2D Cranial X-Rays", Computer Graphics Forum (Proceedings of Eurographics 2018), 2018.
D. D. Rosich, P. Hermosilla, T. Ropinski, B. Kozlikova, Vinacua and P. Vazquez, "Visualization of Large Molecular Trajectories", IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE VIS 2018), 2018.
J. Kreiser, J. Freedman and T. Ropinski, "Visually Supporting Multiple Needle Placement in Irreversible Electroporation Interventions", Computer Graphics Forum, 2018.
J. Kreiser, P. Hermosilla and T. Ropinski, "Void Space Surfaces to Convey Depth in Vessel Visualizations", arXiv pre-print, 2018.


C. van Onzenoodt, J. Kreiser, D. Heer and T. Ropinski, "Evaluating the Influence of Stereoscopy on Cluster Perception in Scatterplots", SIGRAD, 2017.
T. Ropinski, D. Archambault, M. Chen, R. Maciejewski, K. Mueller, A. Telea and M. Wattenberg, How do Recent Machine Learning Advances Impact the Data Visualization Research Agenda?, 2017.

Office Hours

During the semester:

Thursdays 15:00-16:00h.

Please register with Sigrid Duschek.