Security, Safety & Reliability of AI‑Integrated Software Systems
I work at the intersection of software security, AI systems, and software architecture — researching how AI-integrated applications can be built, tested, and evaluated for security and reliability.
Four streams, one question: can we trust what we build?
I actively supervise theses and welcome collaboration on these topics.
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Full list on Google Scholar · ORCID · ResearchGate
Student names omitted for privacy. · Contact me if you are interested in an open topic.
An open-source research tool for systematic literature review workflow management and reproducibility. ReviQ supports the full SLR pipeline — from search and screening to quality assessment and data extraction — with a focus on transparency and replicability of the review process.
A practical guide covering research design, systematic literature reviews, empirical methods, statistical analysis, and academic writing — with a focus on applied computer science and information security research. Targeted at Master's students and early-career researchers.
I am a researcher and lecturer at the University of Applied Sciences St. Pölten, where I teach secure software engineering, software architecture, research methodology, IoT Safety & Security, and Generative AI in Research. I have also taught at Johannes Kepler University Linz and IMC Krems. My research sits at the intersection of software security and AI systems — with a particular focus on how the growing integration of AI systems into software changes the attack surface, the development process, and our ability to reason about system reliability.
Before entering academia, I spent over a decade as a software engineer and architect in the banking, insurance, and social security domain — an experience that continues to shape how I think about security as an engineering problem, not just a theoretical one. I hold a PhD in Computer Science from Johannes Kepler University Linz.