Computer Science (School of)
All of our academic staff are research active, working with a team of post-graduate and post-doctoral researchers and a lively population of research students. Our research focuses on core themes of theoretical and practical computer science: artificial intelligence and symbolic computation, networked and distributed systems, systems engineering, and human computer interaction.
For more information please visit the School of Computer science home page.
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Recent Submissions
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Computational analysis of tissue images in cancer diagnosis and prognosis : machine learning-based methods for the next generation of computational pathology
(2024-06-10) - ThesisThe focus of this work is to develop machine learning systems capable of tissue image analysis in the context of cancer diagnosis and prognosis. Such a system can not only identify new prognostic markers, but can also serve ... -
NLP-supervised stroke detection in medical images
(2023-06-14) - ThesisIn the UK, around 100,000 people have a stroke each year, equating to one stroke every five minutes. Prompt treatment is required to give a good patient outcome. To help decide what the treatment options are, most suspected ... -
All weather scheduling : towards effective scheduling across the edge, fog and cloud
(2023-06) - ThesisThe cloud plays a crucial part in the deployment of many applications today. However, alternative processing layers such as the edge and the fog are increasingly being used in order to meet applications' low-latency ... -
A conceptual framework for uncertainty in software systems and its application to software architectures
(2023-06) - ThesisThe development and operation of a software system involve many aspects including processes, artefacts, infrastructure and environments. Most of these aspects are vulnerable to uncertainty. Thus, the identification, ... -
High-level efficient constraint dominance programming for pattern mining problems
(2023-06) - ThesisPattern mining is a sub-field of data mining that focuses on discovering patterns in data to extract knowledge. There are various techniques to identify different types of patterns in a dataset. Constraint-based mining is ...
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