• Shore Road, Jordanstown Campus

    BT37 0QB Newtownabbey

    United Kingdom

  • 961 Citations
  • 16 h-Index
19992019
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Personal profile

Biography

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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  • 16 Similar Profiles
Brain computer interface Engineering & Materials Science
Self Care Medicine & Life Sciences
Technology Medicine & Life Sciences
Brain-Computer Interfaces Medicine & Life Sciences
Monitoring Engineering & Materials Science
Smartphones Engineering & Materials Science
Health Engineering & Materials Science
Sensors Engineering & Materials Science

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Research Output 1999 2019

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

Metadata
Global positioning system
Data reduction
Smartphones
Face recognition

Wearable technology-based metrics for predicting operator performance during cardiac catheterisation

Currie, J., Bond, RR., McCullagh, P., Black, P., Finlay, D., Gallagher, S., Kearney, P., Peace, A., Stoyanov, D., Bicknell, C. D., Leslie, S. & Gallagher, A. G., 1 Apr 2019, In : International Journal of Computer Assisted Radiology and Surgery. 14, 4, p. 645–657 13 p.

Research output: Contribution to journalArticle

Open Access
File
Cardiac Catheterization
Display devices
Technology
Psychophysiology
Angiography
5 Citations (Scopus)

A review of rapid serial visual presentation-based brain-computer interfaces

Lees, S., Dayan, N., Cecotti, H., McCullagh, P., Maguire, L., Lotte, F. & Coyle, D., Apr 2018, In : Journal of Neural Engineering. 15, 2, 23 p.

Research output: Contribution to journalArticle

Open Access
File
Brain-Computer Interfaces
Brain computer interface
Bioelectric potentials
Electroencephalography
Evoked Potentials
7 Citations (Scopus)

Automatic Annotation for Human Activity Recognition in Free Living Using a Smartphone

Cruciani, F., Cleland, I., Nugent, CD., McCullagh, P., Kare, S. & Josef, H., 9 Jul 2018, In : Sensors. 2203.

Research output: Contribution to journalArticle

Open Access
annotations
Smartphones
Human Activities
availability
Labels

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
Hardware