Ibrahim Habli

University of York, University of Southampton

Papers

7

Total Citations

29

H-Index

3

About

Ibrahim Habli is a prominent researcher specializing in the safety assurance of critical and autonomous systems, with particular expertise in assurance case engineering, formal verification, and the regulation of robotic and autonomous systems. His work addresses one of the most pressing challenges in modern engineering: how to systematically demonstrate and maintain confidence in the safety and security of complex, evolving systems. Habli's most significant contributions center on advancing assurance case methodologies, including the ACCESS framework, which transforms traditionally manual, document-centric safety arguments into model-based, automated processes. His research on hazard-driven argument generation and formal verification evidence further bridges the gap between rigorous mathematical proof and practical safety certification. Notably, his work on autonomous robotic swarms through the AERoS project tackles the particularly difficult problem of assuring emergent behaviours in systems that defy traditional safety analysis. With research spanning emergency triage AI, robotic state machine verification using Isabelle/HOL, and dynamic safety cases for adaptive autonomous systems, Habli's portfolio reflects a rare combination of theoretical depth and real-world applicability. His engagement with ethics and regulation panels underscores his broader influence on responsible autonomous systems development, making his work essential reading for researchers navigating safety-critical AI and robotics.

Research Focus

Key Achievements

3
H-Index
7
Papers
29
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
ACCESS: Assurance Case Centric Engineering of Safety–critical Systems
10 citations · 2024
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 35
🏛 Institutions: University of York, University of Southampton

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago