#Machine Learning


Big-Data Analytics

Developing methods for the analysis of large amounts of data without compromising data protection.


Developing methods and techniques to detect cyber-attacks on digitized distribution networks of electrical power enhancing its reliability and resilience.

Josef Ressel Center for Unified Threat Intelligence on Targeted Attacks (TARGET)

The Josef Ressel Center for Unified Threat Intelligence on Targeted Attacks (TARGET) is a research institution operated by the St. Pölten University of Applied Sciences. Its mission is to explore novel techniques for detecting and mitigating targeted attacks on IT systems. The research objective is to develop a unified methodology for the detection and mitigation of this new class of cyber-threats.

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.


While interconnectedness amongst our devices increases rapidly, SoniTalk aims at developing an open protocol for ultrasonic device communication that fully preserves the privacy of the user.

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.


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
Zeppelzauer, M. (2018, January). Ultrasonic Communication Risks and Chances of a Novel Technology. Invited Talk presented at the Netzpolitischer Abend, Wien, Austria.
Slijepcevic, D., Zeppelzauer, M., Schwab, C., Raberger, A.-M., Dumphart, B., Baca, A., … Horsak, B. (2018). Towards an optimal combination of input signals and derived representations for gait classification based on ground reaction force measurements. In Gait & Posture (Vol. 65, p. 249). https://doi.org/10.1016/j.gaitpost.2018.06.155
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
Eigner, O., Kreimel, P., & Tavolato, P. (2018). Attacks on Industrial Control Systems – Modeling and Anomaly Detection. In International Workshop on FORmal methods for Security Engineering - ForSE 2018. SCITEPRESS.
Luh, Robert, Temper, M., Tjoa, S., & Schrittwieser, S. (2018). APT RPG: Design of a Gamified Attacker/Defender Meta Model. In International Workshop on FORmal methods for Security Engineering.
Schwab, C., Slijepcevic, D., Zeppelzauer, M., Raberger, A.-M., Dumphart, B., Baca, A., … Horsak, B. (2018). IntelliGait: Automatische Gangmusteranalyse für die robuste Erkennung von Gangstörungen. In Tagungsband. Hamburg, Deutschland.
Slijepcevic, D., Zeppelzauer, M., Raberger, A.-M., Schwab, C., Schuller, M., Baca, A., … Horsak, B. (2018). Automatic Classification of Functional Gait Disorders. IEEE Journal of Biomedical and Health Informatics, 5(22), 1653–1661. https://doi.org/10.1109/JBHI.2017.2785682
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.
Niederer, C., Größbacher, S. G., Aigner, W., Judmaier, P., & Seidl, M. (2017). Comic Experience: Narrative & Collaborative Drawing on a Multi-Touch Table in an Art Museum. In Proceedings of the 10th Forum Media Technology 2017. St. Pölten: CEUR-WS.