Photo of Liam Maguire
  • Northlands Road, Magee Campus

    BT48 7JL Londonderry

    United Kingdom

  • 1857 Citations
  • 22 h-Index
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Personal profile


Professor Liam Maguire is the Executive Dean of the Faculty of Computing, Engineering and the Built Environment.Originally from County Fermanagh, Liam obtained MEng and PhD degrees in Electrical and Electronic Engineering from Queen’s University, Belfast.  He joined Ulster University as a lecturer in 1994 and held Senior Lecturer and Reader positions before becoming a Professor of Computational Intelligence in 2007. Prior to being appointed Dean of the Faculty of Computing and Engineering in September 2014, Liam held several senior positions including Head of School and Director of the Intelligent Systems Research Centre.His research interests focus on data analytics and machine learning with particular focus on bio-inspired approaches. Author of over 250 research papers, Liam has secured extensive research funding and supervised 18 PhD and three MPhil students to completion.  In addition to editing special issues of journals and organising conferences, Liam regularly delivers keynote talks at international conferences.  His research enables him to collaborate with staff from every faculty in the University either through funded projects or joint research staff/student supervision.Liam is a Fellow of the Institution of Engineering and Technology and a chartered engineer with an extensive network of colleagues in the digital and engineering sectors in Northern Ireland.  Most recently he has been appointed to the NI Digital Catapult Advisory Board. His research and teaching links extend across China, Japan, the USA and throughout Europe.

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Research Output 1999 2020

  • 1857 Citations
  • 22 h-Index
  • 91 Article
  • 84 Conference contribution
  • 8 Chapter
  • 3 Web publication/site
Open Access
Brain-Computer Interfaces
Brain computer interface
Evoked Potentials
Analysis of variance (ANOVA)
Area Under Curve

A hybrid machine learning approach for prediction of conversion from mild cognitive impairment to Alzheimer’s disease

Bucholc, M., Titarenko, S., Wong-Lin, K., Ding, X., McClean, P., Todd, S., Finn, D. & Maguire, L., 18 Oct 2019, Alzheimer's and Dementia. 7 ed. Elsevier, Vol. 15. p. 368-368 1 p.

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

1 Citation (Scopus)
Functional assessment
Clinical Decision Support Systems
Decision support systems
Alzheimer Disease
Support vector machines

A Review Of Learning In Biologically Plausible Spiking Neural Networks

Taherkhani, A., Belatreche, A., Li, Y., Cosma, G., Maguire, L. & McGinnity, T. M., 11 Oct 2019, In : Neural Networks. 122, p. 253-272 20 p.

Research output: Contribution to journalArticle

Neural networks
Learning algorithms

Modelling of longitudinal cognitive profiles for predicting conversion from mild cognitive impairment to dementia

Bucholc, M., Titarenko, S., Wong-Lin, K., Ding, X., McClean, P., Todd, S., Finn, D. & Maguire, L., 19 Mar 2019, Unknown host publication.

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


Ulster University Research Excellence Award - Business Category (Under 50 employees)

Magda Bucholc (Recipient), Xuemei Ding (Recipient), Kongfatt Wong-Lin (Recipient), Liam Maguire (Recipient), Peter Devine (Recipient), Haiying Wang (Recipient), David Glass (Recipient), Hui Wang (Recipient), Girijesh Prasad (Recipient), Tony Bjourson (Recipient), L Dowey (Recipient) & Ruth Price (Recipient), 9 May 2019



Dynamical complexity of large-scale neurocognitive networks in healthy and pathological brain states

Author: Alderson, T., Aug 2019

Supervisor: Maguire, L. (Supervisor) & Coyle, D. (Supervisor)

Student thesis: Doctoral Thesis