Papers
2
Total Citations
28
H-Index
2
About
Christos Verikoukis is a leading figure in the advancement of next-generation wireless communications, with his research squarely focused on the convergence of optical-wireless networks, network slicing, and machine learning-driven architectures for 5G and 6G systems. His most cited work, a 2022 paper on "Machine Learning-Based Cell-Free Support in the O-RAN Architecture," has garnered 25 citations for proposing an innovative converged solution that addresses critical challenges in supporting ultra-demanding applications like augmented reality, holographic telepresence, and Industry 4.0. This contribution is pivotal in shaping the open, intelligent radio access networks of the future. Verikoukis has also made significant strides in vertical industry integration, as demonstrated by his 2021 paper on a "Slicing enabled 5G experimentation platform for the Robotics vertical industry," which introduces a user-centric network slicing framework to enhance Quality of Service for robotic operations. His work bridges the gap between theoretical network design and practical vertical deployment, cementing his impact on the evolution toward 6G. With a career dedicated to enabling pervasive connectivity and digital transformation, Verikoukis stands as a key architect of tomorrow's intelligent, slice-aware network ecosystems.
Research Focus
Key Achievements
Top Papers
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