Mikael Mazur
Papers
2
Total Citations
5
H-Index
2
About
Mikael Mazur is a leading researcher in optical transport networks, specializing in the intersection of artificial intelligence, robotics, and fiber-optic communications. His groundbreaking work focuses on automating network operations to scale future capacity by leveraging both spectral and spatial degrees of freedom. Mazur’s most notable contribution is the development of an AI-powered multi-task mobile robot capable of performing complex physical tasks such as fiber manipulation and switching. This innovation, demonstrated in his highly cited 2023 and 2024 papers (with a combined 5 citations), introduces a novel approach to automated fiber switching with path verification using real-time coherent receiver-based polarization sensing. By enabling a robot to autonomously verify network paths and execute switching operations, Mazur addresses critical scalability challenges in next-generation optical transport networks. His work bridges the gap between software-defined networking and physical infrastructure automation, offering a practical solution for managing the growing complexity of spatial-division multiplexing systems. Mazur’s research is pivotal for students and engineers exploring how AI and robotics can transform network operations, making him a key figure in the evolution toward fully autonomous optical networks.
Research Focus
Key Achievements
Top Papers
- 1
- 2