Ayman Radwan

Papers

Total Citations

260

H-Index

About

Ayman Radwan is a leading researcher at the intersection of network automation, optical fiber sensing, and the Internet of Things (IoT), with a particular focus on advancing Industrial IoT (IIoT) toward the human-centric paradigm of Industry 5.0. His highly cited survey on network automation for IIoT (188 citations) critically examines the evolution from 5G-driven Industry 4.0 toward 6G-enabled Industry 5.0, emphasizing the integration of pervasive AI and human-robot collaboration. Radwan’s work is distinguished by its dual impact: while his survey shapes the strategic direction of next-generation industrial networks, his experimental contributions in optical fiber sensing demonstrate tangible innovation. He has pioneered insole optical fiber Bragg grating (FBG) sensors for dynamic vertical force monitoring (70 citations), a breakthrough for continuous health monitoring of elderly and disabled patients. Further advancing this domain, he designed a biaxial FBG sensor capable of simultaneously measuring shear stress and vertical pressure, enabling more precise biomechanical analysis. By bridging high-level network architecture with practical sensor design, Radwan’s research directly addresses critical challenges in smart healthcare and intelligent manufacturing, making him a key figure in the transition toward more responsive, human-aware industrial systems.