Rodayna Hmede

Centre National de la Recherche Scientifique, Institut de Radioprotection et de Sûreté Nucléaire

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About

Rodayna Hmede is a rising researcher at the forefront of smart materials and artificial intelligence, specializing in the modeling and control of shape memory alloys (SMAs). Her work bridges the gap between materials science and machine learning, addressing the critical challenge of SMA nonlinearity—particularly hysteresis and the "butterfly behavior" of actuators—which has long hindered real-time robotic applications. Hmede’s most impactful contribution, her 2022 review on neural network modeling of SMAs (53 citations), has become a foundational resource for researchers seeking to replace cumbersome numerical methods with AI-driven solutions. She further advanced the field by pioneering the use of LSTM deep learning to control antagonistic SMA wire systems, a breakthrough that promises more precise and reliable linear actuators for robotics. Her work is notable for its practical focus: by enabling real-time simulation and control of these smart materials, Hmede is directly accelerating the development of next-generation sensors, actuators, and soft robotics. With a growing citation record and a clear trajectory toward integrating AI with adaptive materials, she is establishing herself as a key innovator in the future of intelligent actuation systems.