Meriem-Taous Laleg Kirati

King Abdullah University of Science and Technology

Papers

Total Citations

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About

Meriem-Taous Laleg Kirati is a pioneering researcher at the intersection of control theory, robotics, and biomedical signal processing. Her work addresses fundamental challenges in autonomous navigation, particularly the novel problem of drone reference tracking in non-inertial frames—a scenario where mobile robots experience "motion sickness" when operating inside GPS-denied, moving environments. Through her highly cited papers, she has introduced innovative control strategies, including sliding mode control combined with Kalman filters with unknown inputs, to enable stable drone flight in these challenging conditions. Her contributions extend beyond theory to practical implementation, with experimental validations that demonstrate real-world applicability. While her work on non-inertial frame navigation represents a groundbreaking step in robotics, Laleg Kirati is also recognized for her broader impact in mathematical modeling and signal processing for biomedical applications. Her research has garnered significant attention, with her most cited works accumulating hundreds of citations, reflecting the importance of her contributions to both control systems and applied mathematics. Through her innovative approach to unsolved problems, she continues to inspire new directions in autonomous systems and mobile robotics.