• Northlands Road, Magee Campus

    BT48 7JL Londonderry

    United Kingdom

  • 216 Citations
  • 6 h-Index
20052020

Research output per year

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Personal profile

Biography

Dermot Kerr joined the Computer Science Research Institute and School of Computing and Intelligent Systems in 2015. He is a member of the Cognitive Robotics research group within the Intelligent Systems Research Centre. Dermot's research and teaching interests are in the areas of visual neuroscience, biologically inspired image processing, mathematical image processing, feature detection, omni-directional vision and robotics. He teaches at both undergraduate and postgraduate level.Dermot received a B.Sc. (Hons) in Computing Science from Ulster University, UK in 2005, and a Ph.D. in Computing and Engineering from Ulster University, UK in 2008. He was appointed as a research associate within the Intelligent Systems Research Centre working on the Leverhulme Trust funded "Robot Identification" project and the "Biologically Inspired Processing" project before being appointed research fellow.Dermot  is an officer of the Irish Pattern Recognition and Classification Society,  Co-I on the EU FP7 funded project VISUALISE and a member of the EPSRC ViiHM Network for Biological and Computer Vision.

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Research Output

  • 216 Citations
  • 6 h-Index
  • 48 Conference contribution
  • 11 Paper
  • 9 Article
  • 1 Poster

Appearance-invariant place recognition by adversarially learning disentangled representation  

Qin, C., Zhang, Y., Liu, Y., Coleman, S., Kerr, D. & Lv, G., 30 Sep 2020, In : Robotics and Autonomous Systems. 131, 18 p., 103561.

Research output: Contribution to journalArticle

  • 1 Citation (Scopus)

    A predictive model for paediatric autism screening

    Wingfield, B., Miller, S., Yogarajah, P., Kerr, D., Gardiner, B., Seneviratne, S., Samarasinghe, P. & Coleman, S., 19 Mar 2020, In : Health Informatics Journal. 16 p.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 1 Citation (Scopus)
    62 Downloads (Pure)

    DENSE-INception U-net for medical image segmentation

    Zhang, Z., Wu, C., Coleman, S. & Kerr, D., 31 Aug 2020, In : Computer Methods and Programs in Biomedicine. 192, 15 p., 105395.

    Research output: Contribution to journalArticle

  • 5 Citations (Scopus)

    Explainable AI for Falls Prediction

    Lindsay, L., Kerr, D., Coleman, S., Taylor, B. & Moorhead, A., 4 Mar 2020, (Accepted/In press) 4th International Conference on Advances in Computing and Data Sciences (ICACDS)-2020.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • 13 Downloads (Pure)

    Explainable artificial intelligence for falls prediction

    Lindsay, L., Coleman, S., Kerr, D., Taylor, B. & Moorhead, A., 15 Aug 2020, Advances in Computing and Data Sciences - 4th International Conference, ICACDS 2020, Revised Selected Papers. Singh, M., Gupta, P. K., Tyagi, V., Flusser, J., Ören, T. & Valentino, G. (eds.). p. 76-84 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution