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

  • A survey and taxonomy of resource optimisation for executing Bag-of-Task applications on public clouds 

    Thai, Long; Varghese, Blesson; Barker, Adam (2018-05) - Journal article
    Cloud computing has been widely adopted due to the flexibility in resource provisioning and on-demand pricing models. Entire clusters of Virtual Machines (VMs) can be dynamically provisioned to meet the computational demands ...
  • Annotated BPMN models for optimised healthcare resource planning 

    Bowles, Juliana Kuster Filipe; Czekster, Ricardo; Webber, Thais (Springer, 2018) - Conference item
    There is an unquestionable need to improve healthcare processes across all levels of care in order to optimise the use of resources whilst guaranteeing high quality care to patients. However, healthcare processes are ...
  • Closed frequent itemset mining with arbitrary side constraints 

    Kocak, Gokberk; Akgun, Ozgur; Miguel, Ian James; Nightingale, Peter William (IEEE Computer Society, 2018-11-17) - Conference item
    Frequent itemset mining (FIM) is a method for finding regularities in transaction databases. It has several application areas, such as market basket analysis, genome analysis, and drug design. Finding frequent itemsets ...
  • Diversity computing 

    Fletcher-Wastson, Sue; De Jaegher, Hanne; van Dijk, Jelle; Frauenberger, Christopher; Magnee, Maurice; Ye, Juan (2018-08-22) - Journal article
  • Teaching data ethics : "We're going to ethics the heck out of this" 

    Henderson, Tristan (ACM, 2019-01-09) - Conference item
    This paper outlines a new Data Ethics & Privacy module that was introduced to computer science students in 2018. The module aims to raise student awareness of current debates in computer science such as bias in artificial ...

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