Mr Sen Shen
BSc, MSc
Current positions
Research Associate in Future Network Intelligence
School of Electrical, Electronic and Mechanical Engineering
Contact
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Research interests
My research is centred on enhancing Quality of Transmission (QoT) estimation in optical networks through ML techniques. This involves deploying Artificial Neural Networks (ANN) on accurate QoT estimations and Long Short-Term Memory (LSTM) networks for short-term performance forecasting. I have also investigated the potential of optical telemetry in bolstering AI engines and digital twins in optical networks. Throughout my previous research, I have acquired substantial knowledge in applying ML techniques in optical networks, complemented by hands-on experience at the UK National Dark Fibre Facility (NDFF).
I am passionate about improving QoT estimations in optical networks by leveraging ML algorithms and analytical models, such as the Gaussian Noise model. Moreover, I am dedicated to advancing digital twin technologies and ML-driven monitoring and telemetry platforms in optical networks. I am eager to exchange ideas and collaborate with peers from both academia and the industry who share similar interests.
Publications
Recent publications
16/06/2025Fast Link Recovery via PTP-Synchronized Nanosecond Optical Switching
2025 International Conference on Optical Network Design and Modeling (ONDM)
Fast Optical Switch Enabled Filterless SDM Networks with Adaptive Topology
The 51st European Conference on Optical Communication (ECOC 2025)
Nanosecond Electro-optic Switching with Time Synchronisation for Fronthaul TSN Applications
The 51st European Conference on Optical Communication (ECOC2025)
Unified Monitoring and Telemetry Platform Supporting Network Intelligence in Optical Networks
IEEE/OSA Journal of Optical Communications and Networking
End-to-end QoT Predictions enhanced by GNPy-based Digital Twin with Network Telemetry
Optical Fiber Communications Conference and Exhibition