Michael Vierhauser
Papers
8
Total Citations
87
H-Index
4
About
Michael Vierhauser is a leading researcher in the engineering of self-adaptive and autonomous cyber-physical systems (CPS), with a particular focus on human-machine teaming (HMT) and runtime monitoring. His work fundamentally advances how autonomous systems—from small unmanned aerial vehicles to robotic platforms—can form safe, transparent partnerships with human operators. Vierhauser is best known for extending the classic MAPE-K feedback loop to support HMT, enabling richer human-autonomy collaboration through augmented cognition and coordination. His highly cited papers (e.g., 30 and 28 citations respectively) have established new paradigms for designing systems where humans are not merely supervisors but active teammates. He also developed AMon, a domain-specific language and framework for adaptive runtime monitoring of CPS, and GRuM, a flexible model-driven monitoring framework applied to automated aerial and ground vehicles. His work on cost-benefit-aware monitoring and coupled requirements-driven testing further demonstrates his commitment to ensuring safety in real-world, safety-critical deployments. With a strong publication record and growing citation impact, Vierhauser is shaping the future of trustworthy autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Extending MAPE-K to support human-machine teaming28 citations · 2022
- 3
- 4Towards flexible runtime monitoring support for ROS-based applications6 citations · 2022
- 5
- 6ROMoSu: Flexible Runtime Monitoring Support for ROS-based Applications3 citations · 2023
- 7
- 8Coupled Requirements-Driven Testing of CPS: From Simulation to Reality2 citations · 2024