Daniela Selvi
Papers
1
Total Citations
5
H-Index
1
About
Dr. Daniela Selvi is a leading researcher at the intersection of wireless communications and industrial automation, with a primary focus on enabling safe, ultra-reliable human-robot collaboration. Her key research areas encompass beyond 5G (B5G) private networks, adaptive network reliability, and the critical control and management systems required for smart industrial environments. Her most notable contribution, the 2022 paper "Adaptive network reliability for human-robot interaction in beyond 5G industrial applications," has garnered 5 citations, establishing a foundational framework for ensuring safety in dynamic factory floors where humans and robots work in close proximity. This work addresses the extreme reliability demands of network control when managing the unpredictable movements of human operators alongside robotic agents. Dr. Selvi’s research is pivotal for the future of Industry 4.0 and 5.0, providing the technical underpinnings for flexible, high-capacity wireless solutions that do not compromise on safety. Her achievements are particularly significant as they bridge the gap between theoretical network slicing and the practical, life-critical requirements of human-robot interaction, marking her as an emerging authority in B5G industrial applications.
Research Focus
Key Achievements
Top Papers
- 1