• Shore Road, Jordanstown Campus

    BT37 0QB Newtownabbey

    United Kingdom

  • 1001 Citations
  • 16 h-Index
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Personal profile


Dr McCullagh received a BSc (1979) and a PhD (1983) in Electrical Engineering from Queen’s University of Belfast. He is a Reader in the School of Computing & Mathematics at the University of Ulster and is a Member of the Computer Science Research Institute. He specializes in the teaching of data communications, computer networking and health informatics. His research interests include Biomedical Signal and Image Processing, Data Mining, Brain Computer Interfaces, and Assisted Living applications. He is interested in the ethical deployment of technology in smart environments. Grants include EU FP7 BRAIN project for e-inclusion using the brain-computer interface, EU FP7 Michelangelo for assessing autistic children in a smart environment, EPSRC SMART 2 for self-management of chronic disease, TSB NOCTURNAL for assisting people with dementia, and ESRC New Dynamics of Ageing, Design for Ageing Well funded projects. He is currently a CI in the following Marie Curie networks: ACROSSING, a multidisciplinary, cross-sector, pan-European training network aimed at Smart Homes Early Stage Researchers, and REMIND, a RISE network that promotes computational techniques to improve compliance to reminders within smart environments. He is a member of the British Computer Society.

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Brain computer interface Engineering & Materials Science
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Smartphones Engineering & Materials Science
Health Engineering & Materials Science
Sensors Engineering & Materials Science

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Research Output 1999 2020

Open Access
Units of measurement
Neural networks
Learning systems
Open Access
Brain-Computer Interfaces
Brain computer interface
Evoked Potentials
Analysis of variance (ANOVA)
Area Under Curve

A Public Domain Dataset for Human Activity Recognition in Free-living Conditions

Cruciani, F., Sun, C., Zhang, S., Nugent, CD., Li, C., Song, S., Cheng, C., Cleland, I. & McCullagh, P., 21 May 2019, (Accepted/In press) The 2nd Workshop on advanced Technologies for Smarter Assisted Living solutions: Towards an open Smart Home infrastructure (SmarterAAL'19). p. 166-171 6 p.

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

Application programs

Comparing CNN and Human Crafted Features for Human Activity Recognition

Cruciani, F., Vafeiadis, A., Nugent, CD., Cleland, I., McCullagh, P., Votis, K., Giakoumis, D., Tzovaras, D., Chen, L. & Hamzaoui, R., 21 May 2019, (Accepted/In press) The 16th IEEE International Conference on Ubiquitous Intelligence and Computing.

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

Neural networks
Feature extraction
Deep learning
Big data

Data Reduction Methods for Life-Logged Datasets

Burns, W., McCullagh, P., Finlay, D., Navarro-Paredes, C. & McLaughlin, J., 14 Jul 2019, (Accepted/In press) Smart Assisted Living. Chen, F. (ed.). p. 305-319 15 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Global positioning system
Data reduction
Face recognition