#Visual Computing


InnoFIT - novel forecasting tools

Improvement of forecasting processes and planning quality with the use of information technologies to increase the competitiveness of Austrian companies in the global market.


Location is key – especially when it comes to real estate value. “ImmBild” aims at developing a new method for estimating property value using computer vision of satellite data.


Multi-Device Ecologies Towards Elaborate User Experience discusses issues of relevance regarding interaction design and user experience design and aims at an integrated use of media technology devices such as mobile devices, multi-touch tabletops or large surfaces in multi-device ecologies.

InfraBASE: automatic analysis of satellite imagery

The project deals with the fully automatic analysis of satellite imagery. The goal is to extract a pixel-accurate segmentation of building roofs to generate a rich meta-data layer.

VALiD - Visual Analytics in Data-Driven Journalism

Visual Analytics in Data-Driven Journalism: As data journalists face increasingly complex and heterogeneous data, the research project works on suitable Visual Analytics methods and their integration into journalistic workflows.

VisOnFire. Understanding and visualizing workflows

Visual Analysis of Large and Heterogeneous Scientific Workflows for Analytical Provenance. - A new visual forensic tool realizes the visualisation of data analysis workflows and helps to increase the reproduciblity of studies.


Luh, R., Schramm, G., Wagner, M., Janicke, H., & Schrittwieser, S. (2018). SEQUIN: a grammar inference framework for analyzing malicious system behavior. Journal of Computer Virology and Hacking Techniques, 01–21. https://doi.org/10.1007/s11416-018-0318-x
Bernard, J., Zeppelzauer, M., Sedlmair, M., & Aigner, W. (2018). VIAL – A Unified Process for Visual-Interactive Labeling. The Visual Computer, 16. https://doi.org/10.1007/s00371-018-1500-3
Streit, M., Aigner, W., & Girardi, D. (2018, March). Injecting Life into Visualizations for Biomedical Research. Presented at the DBMI Open Insights Seminar, Harvard University.
Aigner, W., Rind, A., & Wagner, M. (2018). KAVA-Time: Knowledge-Assisted Visual Analytics Methods for Time-Oriented Data. In Tagungsband des 12. Forschungsforum der österreichischen Fachhochschulen (FFH) 2018.
Andrienko, N., Lammarsch, T., Andrienko, G., Fuchs, G., Keim, D. A., Miksch, S., & Rind, A. (2018). Viewing Visual Analytics as Model Building. Computer Graphics Forum, 37(6), 275–299. https://doi.org/10.1111/cgf.13324
Wagner, M., Slijepcevic, D., Horsak, B., Rind, A., Zeppelzauer, M., & Aigner, W. (2018). KAVAGait: Knowledge-Assisted Visual Analytics for Clinical Gait Analysis. IEEE Transactions on Visualization and Computer Graphics (TVCG), 25(3), 1528–1542. https://doi.org/10.1109/TVCG.2017.2785271
Rind, A., Iber, M., & Aigner, W. (2018). Bridging the Gap Between Sonification and Visualization. In Proc. AVI Workshop on Multimodal Interaction for Data Visualization (MultimodalVis).
Niederer, C., Stitz, H., Hourieh, R., Grassinger, F., Aigner, W., & Streit, M. (2018). TACO: Visualizing Changes in Tables Over Time. IEEE Transactions on Visualization and Computer Graphics (InfoVis "17), 24(1), 677–686. https://doi.org/10.1109/TVCG.2017.2745298
Rottermanner, G., Judmaier, P., Eggeling, E., Grantz, V., & Kriegshaber, U. (2018). Virtual Airspace and Tower (VAST). In Open Access Tagungsband 12. Forschungsforum der Österreichischen Fachhochschulen. FH Salzburg.
Niederer, C., Blumenstein, K., Wagner, M., Emrich, S., & Aigner, W. (2018). Visualizing Text Data in Space and Time to Augment a Political News Broadcast on a Second Screen. In 9th International Conference on Information Visualization Theory and Applications (IVAPP 2018). Madeira: SCITEPRESS.