Maurizio Gaziano
Papers
1
Total Citations
3
H-Index
1
About
Maurizio Gaziano is a researcher at the forefront of integrating wearable technology, social robotics, and edge-fog-cloud architectures to advance rehabilitation practices. His work focuses on creating intelligent, scalable systems that bridge the gap between clinical care and everyday patient support. His most-cited paper, "Integration of Commercial Wearable Sensors and Social Robots into an Edge-Fog-Cloud Architecture to Support Rehabilitation Practice" (2024), has already garnered 3 citations, signaling early impact in this emerging field. Gaziano’s contributions lie in designing frameworks that leverage commercial wearable sensors—such as those for motion tracking—alongside social robots to deliver real-time, adaptive rehabilitation feedback. By offloading processing to edge and fog layers, his architectures reduce latency and enhance privacy, making them practical for home-based therapy. This work addresses critical challenges in remote patient monitoring and personalized care, particularly for individuals recovering from injuries or managing chronic conditions. Gaziano’s research is notable for its interdisciplinary approach, combining engineering, human-robot interaction, and healthcare needs. His achievements include pioneering methods to make rehabilitation more accessible and engaging, with potential to transform how technology supports recovery. As a rising voice in cyber-physical systems, Gaziano continues to push boundaries, aiming to democratize advanced rehabilitation tools for broader populations.
Research Focus
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Top Papers
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