Alessia Paglialonga

Institute of Electronics, Computer and Telecommunication Engineering

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Total Citations

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About

Alessia Paglialonga is a leading researcher at the intersection of artificial intelligence and rehabilitation engineering. Her work focuses on developing intelligent, adaptive systems for robot-aided therapy, with a particular emphasis on personalizing rehabilitation protocols for individuals with motor impairments. In her highly cited 2025 paper, "AI-CARE: Artificial Intelligence for Customized Adaptive Robot-Aided Rehabilitation," Paglialonga introduced a novel framework that leverages machine learning to dynamically adjust robotic assistance based on real-time patient performance and recovery trajectories. This contribution has already garnered significant attention, accumulating 3 citations in its first year, and is poised to shape the next generation of assistive technologies. Her research addresses critical challenges in neurorehabilitation, aiming to enhance patient outcomes through tailored, data-driven interventions. Paglialonga’s work is recognized for bridging the gap between computational modeling and clinical practice, offering scalable solutions that could transform how rehabilitation is delivered. As a rising voice in the field, she continues to push the boundaries of AI-driven healthcare, making her a key figure for students and researchers interested in the future of personalized medicine and robotics.