• Shore Road, Jordanstown Campus

    BT37 0QB Newtownabbey

    United Kingdom

  • 269 Citations
  • 9 h-Index
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Personal profile


Leo Galway joined the School of Computing & Mathematics as a Research Associate within the Smart Environment Research Group in 2010, and was appointed Lecturer in Computer Science in 2012. His research interests include Brain-Computer Interfaces, Affective Computing, Machine Learning and Ubiquitous Computing.Leo is a Fellow of the Higher Education Academy. His current role has kept him occupied with a range of pedagogic activities for over 3 years, which are complemented by periodic forays into research. Prior to this, Leo carried out post doctorial research on a number of Pervasive Healthcare projects. Having previously worked as a system-level software engineer after completion of his undergraduate degree in Computer Science at Queen's University, Belfast, Leo returned to academia in 2004 after almost seven years of employment within the software industry in order to undertake a Masters in Computing & Intelligent Systems at Ulster University. Upon receiving an MSc with Distinction, he continued his research training with Ulster University, and was successfully awarded his PhD from the School of Computing & Information Engineering in 2009.  Leo has been a member of the IEEE for over ten years, and is currently a member of the Association for the Advancement of Affective Computing. 

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Research Output 2010 2019

  • 269 Citations
  • 9 h-Index
  • 29 Conference contribution
  • 17 Article
  • 5 Chapter
  • 1 Paper

Towards mobile cognitive fatigue assessment as indicated by physical, social, environmental and emotional factors

Price, E., Moore, G., Galway, L. & Linden, M., 15 Aug 2019, In : IEEE Access. 7, 1, p. 116465-116479 15 p.

Research output: Contribution to journalArticle

Open Access
Fatigue of materials
Reaction Time
Executive Function

A Comparative Analysis of Windowing Approaches in Dense Sensing Environments

Quigley, B., Donnelly, M., Moore, G. & Galway, L., 17 Oct 2018, Proceedings of The International Conference on Ubiquitous Computing and Ambient ‪Intelligence‬‬). 19 ed. MDPI AG, Vol. 2. 6 p. (Proceedings of The International Conference on Ubiquitous Computing and Ambient ‪Intelligence‬‬)).

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

Open Access

Adaptive User Experience Based on Detecting User Perplexity

Samara, A., Bond, RR., Galway, L. & Wang, H., 10 May 2018, (Accepted/In press) p. 1-4. 4 p.

Research output: Contribution to conferencePaper

Open Access
Adaptive systems
Human computer interaction
User interfaces

Affective recognition from EEG signals: an integrated data-mining approach

Mendoza-Palechor, F., Menezes, M. L., Sant'Anna, A., Ortiz-Barrios, M., Samara, A. & Galway, L., 22 Sep 2018, (Accepted/In press) In : Journal Ambient Intelligence andHumanized Computing. p. 1-20 20 p., 1065.

Research output: Contribution to journalArticle

Open Access
Data mining
Personal computers
Support vector machines
Decision making

Eye gaze collaboration with Brain-Computer Interfaces – using both modalities for more robust interaction

Lightbody, G., Brennan, C., McCullagh, P. & Galway, L., 24 Jan 2018, BRAIN-COMPUTER INTERFACES HANDBOOK Technological and Theoretical Advances. Nam, C. S., Nijholt, A. & Lotte, F. (eds.). Vol. 1. p. 1-31

Research output: Chapter in Book/Report/Conference proceedingChapter

Brain computer interface
Bioelectric potentials


Affective and Cognitive State Modelling within Human-Computer Interaction

Author: Samara, A., Dec 2018

Supervisor: Bond, R. (Supervisor), Galway, L. (Supervisor) & Wang, H. (Supervisor)

Student thesis: Doctoral Thesis