Federico Mungari
Papers
1
Total Citations
8
H-Index
1
About
Federico Mungari’s research lies at the intersection of edge computing, digital twins, and industrial automation, with a focus on enabling the real-time, intelligent systems central to Industry 4.0. His most-cited work, “Resource requirements of an edge-based digital twin service: an experimental study” (2022, 8 citations), provides critical empirical insights into the computational and networking demands of deploying digital twin services at the network edge. By experimentally characterizing the resource consumption of digital twins—virtual replicas that allow remote control of physical assets like industrial robots—Mungari helps bridge the gap between theoretical edge architectures and practical, latency-sensitive industrial applications. This contribution is particularly valuable for designing scalable, efficient systems that can support the digital transformation of manufacturing. His research underscores the importance of balancing fidelity and performance in edge-based digital twin deployments, offering a foundation for future work in smart factories and cyber-physical systems. Mungari’s work is a key reference for engineers and researchers developing next-generation industrial IoT solutions.
Research Focus
Key Achievements
Top Papers
- 1