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

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

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

Quantum communications protocols for entanglement distribution – Taken, no longer available

Project Description: The exploration of quantum communication protocols for entanglement distribution is critical to advancing secure and efficient quantum networks. Entanglement, a unique quantum phenomenon, enables instantaneous correlations across vast distances, which is essential for applications like quantum key distribution (QKD) and quantum teleportation. In particular, quantum teleportation is an essential feature of quantum networks … Read more

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

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

[Taken] Web-Browser and Server for Information-Centric Networking

The current Internet architecture assumes communication based on the identity of hosts e.g. the name/IP address of a webserver in a URL. Individual clients connect to specific servers to retrieve documents and videos. Information-centric networking instead assumes that content is the focus of communication and is uniquely named in networks e.g. a consumer asks a … Read more

Exploring survival analysis 1

ELIGIBILITY: This project is for a student taking the online MSc in Statistics and Data Science. Survival analysis refers to models and methods for survival data, that is, data on the failure of a system.  Usually this takes the form of times when failure occurs, with the failure referring to events like the system no … Read more

AI Fundamental Rights Impact Mining – TAKEN

The EU’s AI Act brings a range of A- based products into the scope of EU product regulation. It places a set of risk management and monitoring requirements that expand EU health and safety and consumer protection legislation by expanding the scope to protect Fundamental Rights [1]. A major challenge is the lack of an … Read more

Automated Regulatory Requirements Extraction – TAKEN

Organisations aiming to bring AI-based products onto the European Single Market must assess risks and compliance issues against a range of regulatory acts. While some legislation is supported by technical standards or codes of practice, organsiations increasingly have to track requirements from multiple  digital regulatory acts, e.g. the AI Act, GDPR, the Data Act, the … Read more

Research, Legislation and Standards Mapping Tool – TAKEN

Publicly funded research and innovation (R&I) projects and international standards development are two forms of collaborative technical activities that aim to provide benefits to markets and society, and yet coordination between them is often poor. Such coordination is complicated as both R&I projects and standards development projects both operate over fixed lifecycles, such that for … Read more

Regulatory Compliance of LLM Risk Assessments – TAKEN

The  EU AI Act calls for risk assessment to be conducted for AI systems in specific high risk applications and separately for systemic risks introduced by general-purpose AI (GPAI) systems (i.e. systems corresponding to the largest language models and their use as generative foundation models). The AI Act does not however provide guidance on how … Read more