Faculty of Computer Science

Research

With more than 300 scientific and administrative staff members, our Faculty participates in many national and international cooperation projects, working with economic and scientific partners.

In addition to addressing current issues, these collaborations facilitate research-oriented teaching and enable advanced students to become involved in an attractive, international research environment.

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Our key research areas

In accordance with the development plan of the University of Vienna, our Faculty’s academic focus is centred on the four key research areas Algorithms, Data Science, Systems, and Human-Centered Computing.

Research around the globe

The researchers in our Faculty are globally connected and collaborate regularly with colleagues from all over the world. A visual representation of our collaborations at international and regional level is available in the u:cris research database.

View collaboration map

Academic work

Firmly established as key components of academic work, the projects and publications of our researchers promote an exchange of knowledge, document research findings and enhance our Faculty’s international profile.

  • Projects

BEAM: Bridging SW Engineering, MLOps, and Operational Agents: Foundations for Agentic AI in Cyber-Physical Systems

Zdun, U. (Project Lead), Warnett, S. J. (Scientific Project Staff) & Ennsberger, S. (Admin)

1/04/26 → 31/03/29

Project: Research cooperation

Dreamscapes: Traversing Landscapes of Addiction

Jovicic, S. (Project Lead), Verstappen, S. (Co-Lead) & Göbl, B. (Co-Lead)

1/01/26 → 31/12/26

Project: Research funding

Haptic 4D Printing for Enhanced Sensemaking

Pahr, D. (Project Lead)

1/01/26 → 31/12/28

Project: Research funding

  • Publications

A Method for Packed Malware Detection and possible Payload Identification through Convolutional Neural Networks. / Tavolato, Paul; Schrittwieser, Sebastian; Kochberger, Patrick et al.
Fourth International Conference on Advances in Computing Research. 2026.

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

A Privacy-Preserving and Explainable Method for (Obfuscated) Malware Detection in Android Environment. / Mercaldo, Francesco; Schrittwieser, Sebastian; Kochberger, Patrick et al.
Fourth International Conference on Advances in Computing Research. 2026.

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

Towards a Data Model for Mapping the Personal Data Protection Act (PDPA) of Thailand onto the European General Data Protection Legislation (GDPR). / Krathu, Worarat; Sathapornvajana, Sunisa; Maliyaem, Maleerat et al.
Proceedings of the 14th International Conference on Advances in Information Technology (IAIT 2026). Bangkok, Thailand: ACM, 2026.

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

Enabling Small Language Models for Text-to-Process Extraction: Balancing Accuracy and Efficiency through Distant Supervision. / Neuberger, Julian; Aa, Han van der; Khrop, Ivan et al.
International conference on advanced Information Systems Engineering 2026 (CAISE 2026). 2026.

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

http://eprints.cs.univie.ac.at/8710/

Version Clustering: A Top-Down Approach for Process Concept Drift Detection. / Zúñiga, Bernold Rodrigo Abarca; Yeshchenko, Anton; Aa, Han van der.
International Conference on Advanced Information Systems Engineering (CAISE 2026). 2026.

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

http://eprints.cs.univie.ac.at/8706/