Karina Rehfeldt
Papers
1
Total Citations
49
H-Index
1
About
Karina Rehfeldt is a leading researcher at the intersection of software engineering and dependable autonomous systems. Her work centers on developing holistic, systems-level approaches to ensure that autonomous technologies—from self-driving vehicles to smart home adaptations—meet rigorous safety, security, and reliability standards. Her most cited paper, "Towards a holistic software systems engineering approach for dependable autonomous systems" (2018, 49 citations), lays foundational groundwork for integrating dependability into every phase of autonomous system development, addressing critical challenges posed by product liability regulations. Rehfeldt’s contributions are particularly notable for bridging the gap between theoretical software engineering principles and the practical demands of real-world autonomous deployments. By advocating for a comprehensive, multi-faceted engineering methodology, she has influenced how researchers and practitioners approach the verification and validation of complex, self-adaptive systems. Her work is essential reading for anyone seeking to build trustworthy autonomous systems that can operate safely in unpredictable environments.
Research Focus
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Top Papers
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