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

  • 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 ...
  • Weighted linear fusion of multimodal data - a reasonable baseline? 

    Arandelovic, Ognjen (Association for Computing Machinery, Inc, 2016-10-15) - Conference item
    The ever-increasing demand for reliable inference capable of handling unpredictable challenges of practical application in the real world, has made research on information fusion of major importance.There are few fields ...
  • Predicting and optimizing image compression 

    Murashko, Oleksandr; Thomson, John Donald; Leather, Hugh (ACM, 2016-10-15) - Conference item
    Image compression is a core task for mobile devices, social media and cloud storage backend services. Key evaluation criteria for compression are: the quality of the output, the compression ratio achieved and the computational ...
  • Complex temporal topic evolution modelling using the Kullback-Leibler divergence and the Bhattacharyya distance 

    Andrei, Victor; Arandelovic, Ognjen (2016) - Journal article
    The rapidly expanding corpus of medical research literature presents major challenges in the understanding of previous work, the extraction of maximum information from collected data, and the identification of promising ...

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