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.

Recent Submissions

  • Finite presentability and isomorphism of Cayley graphs of monoids 

    Awang, Jennifer Sylvia; Pfeiffer, Markus Johannes; Ruskuc, Nikola (2016-10-26) - Journal article
    Two finitely generated monoids are constructed, one finitely presented the other not, whose (directed, unlabelled) Cayley graphs are isomorphic.
  • A robust reputation-based location-privacy recommender system using opportunistic networks 

    Zhao, Yuchen; Ye, Juan; Henderson, Tristan (Springer, 2016-11-30) - Conference item
    Location-sharing services have grown in use commensurately with the increasing popularity of smart phones. As location data can be sensitive, it is important to preserve people’s privacy while using such services, and so ...
  • The Elicitation Interview technique : capturing people’s experiences of data representations 

    Hogan, Trevor; Hinrichs, Uta; Hornecker, Eva (2017-01) - Journal article
    Information visualization has become a popular tool to facilitate sense-making, discovery and communication in a large range of professional and casual contexts. However, evaluating visualizations is still a challenge. In ...
  • Sidetap & slingshot gestures on unmodified smartwatches 

    Yeo, Hui Shyong; Lee, Juyoung; Bianchi, Andrea; Quigley, Aaron John (ACM Press - Association for Computing Machinery, 2016-10-16) - Conference item
    We present a technique for detecting gestures on the edge of an unmodified smartwatch. We demonstrate two exemplary gestures, i) Sidetap - tapping on any side and ii) Slingshot - pressing on the edge and then releasing ...
  • RadarCat  : Radar Categorization for input & interaction 

    Yeo, Hui Shyong; Flamich, Gergely; Schrempf, Patrick; Harris-Birtill, David Cameron Christopher; Quigley, Aaron John (ACM, 2016-10-16) - Conference item
    In RadarCat we present a small, versatile radar-based system for material and object classification which enables new forms of everyday proximate interaction with digital devices. We demonstrate that we can train and ...

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