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About

Angelo Marguglio is a leading researcher in the intersection of cloud-to-edge computing, predictive analytics, and industrial automation. His work focuses on designing scalable, modular architectures that bring intelligence directly to manufacturing and robotics environments. Marguglio’s major contributions include pioneering microservice-based platforms and fog computing frameworks that enable real-time predictive maintenance, anomaly detection, and failure forecasting in cyber-physical systems. His most cited paper, “A Cloud-to-Edge Approach to Support Predictive Analytics in Robotics Industry” (2020, 46 citations), demonstrates how distributed data management can transform raw production data into actionable insights. This is complemented by his work on microservice architectures for smart manufacturing (26 citations) and fog computing for maintenance (17 citations), which together form a cohesive vision for resilient, intelligent factories. Marguglio also explores adaptive software frameworks for smart workplaces, emphasizing human-centric automation. His research is highly influential in Industry 4.0, offering practical, deployable solutions that reduce downtime and optimize production. With a strong citation record and a clear focus on bridging cloud and edge layers, Marguglio is a key voice in the future of predictive industrial systems.