Amina Mekki-Mokhtar

Laboratoire d'Analyse et d'Architecture des Systèmes

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About

Amina Mekki-Mokhtar is a leading researcher in the safety and dependability of critical autonomous systems, with a particular focus on the rigorous engineering of safety triggers. Her foundational work, "Safety Trigger Conditions for Critical Autonomous Systems" (2012, 14 citations), introduced a systematic, risk-analysis-driven process for identifying and specifying safety margins on critical system transitions. This methodology provides a formal framework for determining when an autonomous system must intervene to prevent catastrophic states, directly addressing a core challenge in the deployment of self-driving vehicles, drones, and medical robots. By bridging the gap between hazard analysis and real-time system control, Mekki-Mokhtar’s contributions have established a cornerstone for the design of verifiably safe autonomous architectures. Her research continues to influence how engineers and regulators define the operational boundaries of intelligent machines, ensuring that as autonomy advances, it does so with a robust, principled approach to managing risk.