Stefano Proto

Papers

Total Citations

H-Index

About

Stefano Proto is a researcher at the forefront of cyber-physical systems and industrial data analytics, with a focus on bridging cloud and edge computing to drive predictive intelligence in manufacturing. His most-cited work, "A Cloud-to-Edge Approach to Support Predictive Analytics in Robotics Industry" (2020, 46 citations), introduces a novel framework that seamlessly integrates cloud and edge resources to enable real-time anomaly detection and failure prediction in robotic production lines. This contribution is pivotal for advancing proactive maintenance strategies, reducing downtime, and enhancing operational efficiency in Industry 4.0 environments. Proto’s research addresses critical challenges in data management and processing within cyber-physical systems, offering scalable solutions that transform raw sensor data into actionable insights. His work has been recognized for its practical impact on smart manufacturing, earning citations from peers in both academia and industry. By enabling the early identification of imminent failures, Proto’s approach not only safeguards production continuity but also lays the groundwork for more autonomous and resilient industrial ecosystems. His ongoing contributions continue to shape the evolution of predictive analytics in robotics, making him a key voice in the convergence of cloud computing, edge intelligence, and industrial automation.