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

  • Towards a richer model of deliberation dialogue : closure problem and change of circumstances 

    Walton, Douglas; Toniolo, Alice; Norman, Timothy J. (2016-11-26) - Journal article
    Models of deliberative dialogue are fundamental for developing autonomous systems that support human practical reasoning. The question discussed in this paper is whether existing models are able to capture the complexity ...
  • Impact of cell load on 5GHz IEEE 802.11 WLAN 

    Abu-Tair, Mamoun; Bhatti, Saleem Noel (Institute of Electrical and Electronics Engineers Inc., 2017-03-27) - Conference item
    We have conducted an empirical study of the latest 5GHz IEEE 802.11 wireless LAN (WLAN) variants of 802.11n (5GHz) and 802.11ac (Wave 1), under different cell load conditions. We have considered typical configurations of ...
  • IEEE 802.11ac MU-MIMO Wireless LAN cells with legacy clients 

    Abu-Tair, Mamoun; Bhatti, Saleem Noel (Institute of Electrical and Electronics Engineers Inc., 2017-03-27) - Conference item
    We provide an empirical evaluation of an IEEE 802.11ac Wireless LocalArea Network (WLAN) cell with Multiple User Multiple Input MultipleOutput (MU-MIMO) technology. We conducted our experiments on a testbed comprising ...
  • Information and knowing when to forget it 

    Sharma, Rohit; Arandelovic, Ognjen (IEEE, 2017-05-14) - Conference item
    In this paper we propose several novel approaches for incorporating forgetting mechanisms into sequential prediction based machine learning algorithms. The broad premise of our work, supported and motivated in part by ...
  • Glycaemic index prediction : a pilot study of data linkage challenges and the application of machine learning 

    Li, Jingyuan; Arandelovic, Ognjen (IEEE, 2017-02-18) - Conference item
    The glycaemic index (GI) is widely used to characterize the effect that a food has on blood glucose which is of major importance to diabetic individuals as well as the general population at large. At present, its applicability ...

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