Guido Coppo
Papers
4
Total Citations
81
H-Index
4
About
Guido Coppo is a leading researcher at the intersection of cloud computing, fog computing, and industrial robotics, with a primary focus on enabling predictive analytics within cyber-physical systems. His work addresses the critical challenge of processing and managing data at the edge and in the cloud to create actionable insights for manufacturing. Coppo’s major contributions include pioneering a cloud-to-edge architecture that supports predictive maintenance, allowing industries to detect anomalous behaviors, predict imminent failures, and adopt proactive strategies to ensure smooth production processes. This foundational work, detailed in his most-cited paper (46 citations), has been further developed in subsequent studies on fog computing approaches for maintenance. Beyond industrial applications, Coppo has also explored the transformation of robotics education during the COVID-19 pandemic, highlighting challenges and opportunities for higher education. With a growing citation impact and a clear focus on bridging theoretical frameworks with real-world industrial needs, Guido Coppo is a key figure in advancing the reliability and intelligence of modern manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Fog Computing Approach for Predictive Maintenance17 citations · 2019
- 3A Cloud-to-edge Architecture for Predictive Analytics.11 citations · 2019
- 4