Maria Fazio

University of Messina, Centro Neurolesi Bonino Pulejo

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About

Maria Fazio is a leading researcher at the intersection of rehabilitation robotics, big data analytics, and cloud-based healthcare systems. Her work focuses on transforming neurological rehabilitation through intelligent, data-driven approaches. She pioneered the use of big data analysis to improve robotic-assisted gait training, demonstrating how patient-specific clinical data can personalize and enhance therapy outcomes. Fazio also advanced Tele-Rehabilitation as a Service (TRaaS), integrating machine learning and NoSQL graph databases to enable remote monitoring and treatment for patients with motor impairments—a critical innovation for accessible home-based care. Her research on clinical workflows established frameworks for integrating heterogeneous big e-health data into cloud systems, enabling smarter medical decision-making. With highly cited works including "Toward Improving Robotic-Assisted Gait Training" (12 citations) and "Improving Tele-Rehabilitation Therapy Through Machine Learning" (11 citations), Fazio’s contributions are shaping the future of personalized, technology-enabled rehabilitation. Her achievements highlight a commitment to bridging engineering and clinical practice, making her a pivotal figure in the evolution of smart healthcare.