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Dr Richard Gault

School of Electronics, Electrical Engineering and Computer Science
Dr Richard Gault

Dr Richard Gault

School of Electronics, Electrical Engineering and Computer Science

Dr. Gault’s primary research is Artificial Intelligence with particular interest in machine learning,  and computational modelling of sensory systems. His research is related to medical applications including

  • the development of tinnitus compatible models to improve understanding of the biological basis for tinnitus,
  • the use of computer vision in the detection of stroke symptoms and in cancer research,
  • the modelling of visual encoding by the retina.

Contact info

  • View Academic Profile
  • Richard.Gault@qub.ac.uk
  • +44 (0) 28 9097 4895

Research Interests

Welcome collaboration to develop and implement multidisciplinary research proposals, particularly in machine learning. Open to PhD applications in the areas of machine learning and computational modelling.

Make a PhD enquiry


Public outreach & key achievements

  • Vice-Chair, IEEE UK & Ireland Engineering in Medicine and Biology Chapter [2020]

  • Member of IEEE [2020]

  • Nominated for Queen’s University Staff Excellence Award - "Delivering Excellence" [2020]

  • Scientific Advisor of NeuroView Diagnostics LLC, VA, USA. [2019-pres]

  • Queen’s University Teaching Award (student nominated) [2019]

  • Principle Investigator MRC Proximity 2 Discovery Travel Fund [2019]

  • Board member for World Tinnitus Congress and International Tinnitus Seminar [2017]

  • Associate Fellow of the Higher Education Academy (HEA) [2015-pres].

  • Member of Computing at Schools NI [2015-pres].

  • Invited speaker Computing at Schools NI annual conference (2015, 2018).

  • Best Oral Presentation at Annual Translational Medicine (TMED7) Conference [2015]

  • Best Poster Presentation: Irish Machine Vision and Image Processing Conference [2014].


Research students

PhD Title Quantifying the difficulty of multifaceted questions for cross disciplinary learning
Country China
   
PhD Title  Data driven aggregation methods for Fuzzy Systems
Country  China
   
PhD Title   
Country   

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  • Faculty of Engineering and Physical Science
  • School of Electronics, Electrical Engineering and Computer Science
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