INF | Collaboration Infrastructure

Prof. Daniel Weiskopf, University of Stuttgart
Email | Website

Prof. Falk Schreiber, University of Konstanz
Email | Website

Daniel Weiskopf
Falk Schreiber

There is no advisor for this project.

Dimitar Garkov, University of Konstanz – Email | Website

Project Collaboration Infrastructure (INF) supports the research projects across the consortium primarily in the areas of research data management (RDM) and data curation, shared resources, and virtual collaboration. RDM is essential for repeatable research, and even more for state-of-the-art research projects and consortia, where
infrastructure and coordination on a large scale are needed. Providing reliable storage and open access supports long-term outreach, open science, and trust in the scientific field. Shared resources (e.g., hard- and software) allows research groups to work with a large variety of advanced devices often not affordable for a single group, while sharing information (e.g., high-quality streaming of events) supports virtual collaboration and doctoral training across sites.

Fig. 1: Talk at the Powerwall at the University of Konstanz

Publications

  1. F. Schreiber and D. Weiskopf, “Quantitative Visual Computing,” it - Information Technology, vol. 64, no. 4–5, Art. no. 4–5, 2022, doi: doi:10.1515/itit-2022-0048.
  2. A. Niarakis et al., “Addressing barriers in comprehensiveness, accessibility, reusability, interoperability and reproducibility of computational models in systems biology,” Briefings in bioinformatics, vol. 23, no. 4, Art. no. 4, 2022, doi: 10.1093/bib/bbac212.
  3. D. Bienroth et al., “Spatially resolved transcriptomics in immersive environments,” Visual Computing for Industry, Biomedicine, and Art, vol. 5, no. 1, Art. no. 1, 2022, doi: 10.1186/s42492-021-00098-6.
  4. M. Becher et al., “Situated Visual Analysis and Live Monitoring for Manufacturing,” IEEE Computer Graphics and Applications, pp. 1–1, 2022, doi: 10.1109/MCG.2022.3157961.
  5. C. Müller, M. Heinemann, D. Weiskopf, and T. Ertl, “Power Overwhelming: Quantifying the Energy Cost of Visualisation,” in Proceedings of the 2022 IEEE Workshop on Evaluation and Beyond - Methodological Approaches for Visualization (BELIV), in Proceedings of the 2022 IEEE Workshop on Evaluation and Beyond - Methodological Approaches for Visualization (BELIV). Oct. 2022, pp. 38–46. doi: 10.1109/BELIV57783.2022.00009.
  6. D. Garkov, C. Müller, M. Braun, D. Weiskopf, and F. Schreiber, “Research Data Curation in Visualization: Position Paper,” in 2022 IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV), M. Sedlmair, Ed., in 2022 IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV). 2022, pp. 56–65. doi: 10.1109/BELIV57783.2022.00011.
  7. K. Schatz et al., “2019 IEEE Scientific Visualization Contest Winner: Visual Analysis of Structure Formation in Cosmic Evolution,” IEEE Computer Graphics and Applications, vol. 41, no. 6, Art. no. 6, 2021, doi: 10.1109/MCG.2020.3004613.
  8. F. Frieß, M. Braun, V. Bruder, S. Frey, G. Reina, and T. Ertl, “Foveated Encoding for Large High-Resolution Displays,” IEEE Transactions on Visualization and Computer Graphics, vol. 27, no. 2, Art. no. 2, 2021, doi: 10.1109/TVCG.2020.3030445.
  9. K. Klein, D. Garkov, S. Rütschlin, T. Böttcher, and F. Schreiber, “QSDB—a graphical Quorum Sensing Database,” Database, vol. 2021, no. 2021, Art. no. 2021, Nov. 2021, doi: 10.1093/database/baab058.
  10. F. Frieß, M. Becher, G. Reina, and T. Ertl, “Amortised Encoding for Large High-Resolution Displays,” in 2021 IEEE 11th Symposium on Large Data Analysis and Visualization (LDAV), in 2021 IEEE 11th Symposium on Large Data Analysis and Visualization (LDAV). 2021, pp. 53–62. doi: 10.1109/LDAV53230.2021.00013.
  11. V. Bruder, C. Müller, S. Frey, and T. Ertl, “On Evaluating Runtime Performance of Interactive Visualizations,” IEEE Transactions on Visualization and Computer Graphics, vol. 26, pp. 2848–2862, Sep. 2020, doi: 10.1109/TVCG.2019.2898435.
  12. F. Frieß, C. Müller, and T. Ertl, “Real-Time High-Resolution Visualisation,” in Proceedings of the Eurographics Symposium on Vision, Modeling, and Visualization (VMV), J. Krüger, M. Niessner, and J. Stückler, Eds., in Proceedings of the Eurographics Symposium on Vision, Modeling, and Visualization (VMV). The Eurographics Association, 2020, pp. 127–135. doi: 10.2312/vmv.20201195.
  13. C. Müller, M. Braun, and T. Ertl, “Optimised Molecular Graphics on the HoloLens,” in IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019, Osaka, Japan, March 23-27, 2019, in IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019, Osaka, Japan, March 23-27, 2019. IEEE, 2019, pp. 97–102. doi: 10.1109/VR.2019.8798111.
  14. F. Frieß, M. Landwehr, V. Bruder, S. Frey, and T. Ertl, “Adaptive Encoder Settings for Interactive Remote Visualisation on High-Resolution Displays,” in Proceedings of the IEEE Symposium on Large Data Analysis and Visualization - Short Papers (LDAV), in Proceedings of the IEEE Symposium on Large Data Analysis and Visualization - Short Papers (LDAV). IEEE, 2018, pp. 87–91. doi: 10.1109/LDAV.2018.8739215.

The RTSP streaming solution for the tele-conferencing solution has been implemented and is now regularly used for the lecture series and other invited talks.

Project Group A

Models and Measures

 

Completed

 

Project Group B

Adaptive Algorithms

 

Completed

 

Project Group C

Interaction

 

Completed

 

Project Group D

Applications

 

Completed