J. E. Simsarian

Nokia (United States)

Papers

3

Total Citations

13

H-Index

2

About

J. E. Simsarian is a leading researcher in optical transport networks, specializing in the intersection of artificial intelligence, fiber-optic sensing, and network automation. Their work addresses critical challenges in scaling network capacity by leveraging both spectral and spatial degrees of freedom. A major contribution is the development of an AI-powered multi-task mobile robot capable of performing complex network operations such as fiber manipulation and switching, as demonstrated in their 2023 and 2024 papers (with 2 and 3 citations respectively). This robot, combined with real-time coherent receiver-based polarization sensing, enables automated fiber switching with path verification—a breakthrough for network reliability. Simsarian also pioneered rare-event classification of polarization transients using machine learning and data augmentation, achieving high accuracy with minimal training samples (2020, 8 citations). Their work has significant implications for reducing operational costs and improving network resilience. By integrating robotics, AI, and optical sensing, Simsarian is shaping the future of autonomous, self-healing optical networks, making them a key figure in next-generation telecommunications research.

Research Focus

Key Achievements

2
H-Index
3
Papers
13
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Efficient Classification of Polarization Events Based on Field Measurements
8 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: Nokia (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago