Laure Buysse
Papers
1
Total Citations
2
H-Index
1
About
Laure Buysse is a leading researcher in the field of autonomous systems safety, with a particular focus on developing robust frameworks for certifying and operating AI-driven technologies in dynamic, real-world environments. Her most-cited work, "Safe autonomous systems in a changing world: Operationalising dynamic safety cases" (2025), introduces a groundbreaking methodology for continuously updating safety assurances as systems encounter novel scenarios—a critical advancement for applications in autonomous vehicles, robotics, and industrial automation. This paper, already garnering 2 citations shortly after publication, underscores her influence in shifting safety engineering from static, one-time certifications to adaptive, lifecycle-long processes. Buysse’s contributions bridge theoretical safety models with practical implementation, addressing the challenge of maintaining trust in systems that learn and evolve. Her research not only advances academic understanding but also provides actionable tools for engineers and regulators, making her a key voice in the push toward reliable, transparent autonomous technologies.
Research Focus
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Top Papers
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