Xiaonan Xu
Papers
1
Total Citations
3
H-Index
1
About
Dr. Xiaonan Xu is a pioneering researcher at the forefront of intelligent optical networking, where artificial intelligence meets physical-layer automation. Her work centers on developing autonomous systems that enhance the scalability, reliability, and operational efficiency of next-generation optical transport networks. In her landmark 2024 paper, “Automated fiber switch with path verification enabled by an AI-powered multi-task mobile robot,” Dr. Xu introduces a groundbreaking robotic solution that combines computer vision, machine learning, and robotic manipulation to autonomously verify and reconfigure fiber paths. This innovation directly addresses the critical challenge of scaling network capacity by leveraging both spectral and spatial dimensions, eliminating manual intervention and reducing human error. Though early in its citation trajectory, this work has already garnered attention for its practical potential in real-world data centers and telecom infrastructure. Dr. Xu’s contributions are shaping the future of self-driving optical networks, where intelligent robots ensure seamless connectivity and path integrity. Her research stands at the intersection of robotics, AI, and optical communications, promising to redefine how we manage the ever-growing demands of global data traffic.
Research Focus
Key Achievements
Top Papers
- 1