Subject: AI

Machine learning for fibre disturbance detection via state of polarisation sensing – Taken, no longer available

Marco Ruffini (email | all projects)

Project Description: Optical fibre networks are critical to global connectivity, yet they are susceptible to accidental damage or deliberate tampering. While distributed acoustic sensing (DAS) has been widely investigated for disturbance detection, an alternative approach relies on monitoring the state of polarisation (SOP) of light propagating in the fibre. The SOP is highly sensitive to … Read more

Machine learning application to fibre sensing in maritime applications – Taken, no longer available

Marco Ruffini (email | all projects)

Project Description: Recent advances in distributed fibre sensing have shown that existing optical fibre cables, originally deployed for telecommunications, can also serve as dense sensor arrays. By sending probe signals through the fibre and analysing the backscattered light, it is possible to extract information about environmental changes such as vibrations, temperature, and strain along the … Read more

Development of digital twins of optical networks using machine learning – Taken, no longer available

Marco Ruffini (email | all projects)

Project Description: Over the past few years, telecommunications networks have migrated towards concepts of virtualisation and programmability, which has recently also affected the optical layer [1]. This has provided the opportunity to build more intelligent control of optical networks, for example to predict quality of transmission and thus improve overall network utilisation, as transmission channels … Read more

Individualised project in Wireless networking, Machine Learning, Artificial Intelligence, Quantum Computing (and associated application domains)

Meriel Huggard (email | all projects)

I am happy to supervise a project in all the areas of computer networking that I am interested in — wireless networking, Machine Learning, Artificial Intelligence and in their application to a wide range of real world settings (healthcare, IoT, structural health monitoring). I am particularly interested in exploring some aspects of quantum computing; for … Read more