J. Sandoz

Nokia (Netherlands), Murray State University

Papers

Total Citations

H-Index

About

J. Sandoz is at the forefront of intelligent optical network automation, pioneering the integration of artificial intelligence and robotics to manage the escalating complexity of fiber-optic infrastructure. Their key research areas encompass AI-driven network operations, robotic fiber manipulation, and real-time polarization sensing for physical-layer verification. Sandoz’s major contribution is the development of an AI-powered multi-task mobile robot capable of performing automated fiber switching and path verification—a breakthrough that addresses the critical challenge of scaling network capacity through both spectral and spatial degrees of freedom. By combining a mobile robotic platform with coherent receiver-based polarization sensing, Sandoz has demonstrated the first automated fiber switch that can physically verify network paths without human intervention. This work, published in 2023 and 2024, has already garnered early citations, signaling its foundational role in the emerging field of robotic network management. Sandoz’s research promises to revolutionize how operators maintain and reconfigure high-capacity optical transport networks, reducing downtime and enabling more agile, software-defined infrastructure for the future of global communications.