School of Computer Science and Statistics
* I have reached capacity for 25-26 and am not able to take on any further supervision* This project will be in the area of Explainable AI (XAI), and specifically building of explanations to support learning and user interfaces for presenting explanations to the end user (learner). The focus will be on the explanations rather … Read more
ELIGIBILITY: This project is for a student taking the online MSc in Statistics and Data Science. In biodiversity experiments, typically the number, identity and proportions of species are manipulated across experimental units. Often additional treatments are of interest to test alongside species diversity treatments. The design of these experiments can be challenged by the multiple … Read more
CAWriter was a computer supported collaborative working tool designed to assist in the writing of research dissertations. In particular it provided support for reference management, idea generation and drafting of dissertations. This project will involve looking at the design principles for the tool and implementing some of them using current technology and GenAI in particular. … Read more
ELIGIBILITY: This project is for a student taking the MSc in Statistics and Sustainability. In agriculture, grasslands can play an important role in producing feed for animals and maintaining soil health in crop rotations. In recent years, mixing plant species with complementary traits have been proposed to reduce the quantity of synthetic fertiliser required to … Read more
Risk detection models (such as IBM’s Granite Guardian) are increasingly used to flag harmful prompts and responses in large language model pipelines. These systems are trained on human and synthetic data to identify risks across multiple dimensions, but their reliability and fairness are not guaranteed. They may over-flag certain groups, miss subtle harms, or be … Read more
This project investigates how post-hoc counterfactual explanations can be used to debug opaque models such as deep neural networks by revealing which feature changes most influence predictions. In applications like anomaly detection, counterfactuals help clarify why certain cases are flagged as abnormal and expose when models rely on spurious correlations or biased patterns. By using … Read more
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
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
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
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