Marco Di Felice
Papers
7
Total Citations
86
H-Index
5
About
Marco Di Felice’s research lies at the intersection of the Internet of Things (IoT), autonomous robotic swarms, and intelligent healthcare systems. He is best known for pioneering distributed mobility models for UAV swarms in disaster recovery—his most-cited work, “A GPS-Free Flocking Model for Aerial Mesh Deployments in Disaster-Recovery Scenarios” (40 citations), addresses the critical challenge of deploying autonomous aerial networks without GPS, enabling resilient communication in post-emergency environments. Di Felice has also made significant contributions to networked control systems, developing the CUSCUS simulator (16 citations) for distributed control, and advancing the integration of IoT with humanoid robotics for motor rehabilitation. His recent work on digital twins for Industry 4.0 (WoTwins) and autonomic fault-tolerant UAV-assisted wireless sensor networks demonstrates a sustained focus on practical, scalable IoT solutions. With a growing citation footprint and a research portfolio spanning from swarm management frameworks (Uhura) to next-generation rehabilitation systems, Di Felice is recognized for bridging theoretical models with real-world test-bed implementations, making his work highly relevant for students and researchers in cyber-physical systems, robotics, and pervasive healthcare.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4WoTwins: Automatic Digital Twin Generator for the Web of Things7 citations · 2022
- 5
- 6
- 7