Alessia Laforgia
Papers
1
Total Citations
3
H-Index
1
About
Alessia Laforgia is a researcher at the intersection of wearable technology, social robotics, and cloud-edge computing, with a focus on rehabilitation and human-robot interaction. Her most-cited work, "Integration of Commercial Wearable Sensors and Social Robots into an Edge-Fog-Cloud Architecture to Support Rehabilitation Practice" (2024), proposes a novel framework that seamlessly combines commercial wearable sensors with social robots within a distributed edge-fog-cloud architecture. This contribution addresses critical challenges in remote rehabilitation by enabling real-time data processing, low-latency feedback, and scalable deployment—paving the way for more accessible, personalized therapy. With 3 citations in its early publication year, the paper signals growing interest in her approach. Laforgia’s research bridges engineering and healthcare, emphasizing practical, cost-effective solutions that leverage existing consumer devices. Her work stands out for its integration of social robots—not merely as tools but as interactive agents that enhance patient engagement—and for its architectural innovation that balances computational efficiency with data privacy. As a rising voice in cyber-physical systems for health, Laforgia is shaping how technology can support rehabilitation outside clinical settings, making her a researcher to watch in the evolving landscape of digital health.
Research Focus
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Top Papers
- 1