Hanae Elmekki

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About

Dr. Hanae Elmekki is a pioneering researcher at the intersection of robotics, artificial intelligence, and medical imaging, with a primary focus on advancing autonomous cardiac ultrasound systems. Her work centers on developing intelligent control frameworks that enhance both the precision and safety of robotic-assisted cardiac examinations. In her highly cited 2024 paper, she introduced a novel AI-powered robust interaction force control method for a cardiac ultrasound robotic system (CURS), employing dual control loops and AI-driven image feedback to simultaneously improve image quality and patient safety—a contribution that has already garnered 10 citations. Building on this foundation, her 2025 work presents a robust deep feature ultrasound image-based visual servoing (UIBVS) technique, featuring a custom convolutional neural network, UCF-Net, trained for automatic cardiac examination. This innovation enables real-time, adaptive robot control during ultrasound procedures, marking a significant step toward fully autonomous cardiac diagnostics. Dr. Elmekki’s research is notable for its direct clinical applicability, addressing critical challenges in force regulation and visual feedback for medical robotics. Her achievements position her as a rising leader in the field of AI-driven medical robotics, with work that promises to transform non-invasive cardiac care.