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

  • Task offloading engine for heterogeneous mobile Clouds 

    Sulaiman, Dawand Jalil; Barker, Adam David (ACM, 2016-12-01) - Conference item
    The limitations in computational resources and battery power of mobile devices led to the concept of offloading compute-intensive tasks to powerful devices. We have developed a framework to offload tasks from a mobile ...
  • Persistent identification and citation of software 

    Jones, Catherine Mary; Matthews, Brian; Gent, Ian; Griffin, Tom; Tedds, Jonathan (2016) - Journal article
    Software underpins the academic research process across disciplines. To be able to understand, use/reuse and preserve data, the software code that generated, analysed or presented the data will need to be retained and ...
  • Contextual consent : ethical mining of social media for health research 

    Norval, Christopher; Henderson, Tristan (2017-01-26) - Conference item
    Social media are a rich source of insight for data mining and user centred research, but the question of consent arises when studying such data without the express knowledge of the creator. Case studies that mine social ...
  • Opportunistic visualization with iVoLVER 

    Méndez, Gonzalo Gabriel; Nacenta, Miguel A. (IEEE Computer Society, 2016-11-08) - Conference item
    Proposed as 'data analysis anywhere, anytime, from anything', Opportunistic Information Visualization (Opportu-Vis) [1] seeks to provide analytical support in scenarios where the data of interest is not explicitly available ...
  • Some problems in the theory and application of the methods of numerical taxonomy 

    Wishart, David (University of St Andrews, 1970) - Thesis
    Several of the methods of numerical taxonomy are compared and shown to be variants of a tripartite grouping procedure associated with a generalised intercluster similarity function involving ten computational parameters. ...

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