Olfa Mosbahi

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About

Dr. Olfa Mosbahi is a leading researcher at the intersection of artificial intelligence, robotics, and safety-critical systems. Her work focuses on developing intelligent, adaptive control mechanisms for complex autonomous systems, particularly in the domains of self-adaptive real-time systems and reconfigurable robotics. Dr. Mosbahi’s most notable contribution is a groundbreaking reinforcement learning-based approach for the online optimal control of self-adaptive real-time systems (2023, 10 citations), which enables dynamic decision-making in unpredictable environments. She has also pioneered a novel methodology for the safe development of reconfigurable robotic systems (2019, 3 citations), addressing the critical challenge of ensuring safety in highly flexible, autonomous platforms. By integrating innovative tools and concepts, her work has been validated through real-world applications, including a medical robotics case study. Dr. Mosbahi’s research is essential for advancing the reliability and autonomy of next-generation robotic systems, making her a key figure in the fields of adaptive control and safe autonomous robotics.