• Northlands Road, Magee Campus

    BT48 7JL Londonderry

    United Kingdom

  • 1369 Citations
  • 18 h-Index
20032019
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Personal profile

Biography

Professor Damien Coyle, Professor of Neurotechnology, is currently Director of the Intelligent Systems Research Centre and Research Director in the School of Computing, Engineering and Intelligent Systems at Ulster University. He has published over 130 research papers in areas such as computational intelligence/AI, bio-signal processing, computational neuroscience, neuroimaging, neurotechnology and brain-computer interface (BCI) applications and has won a number of prestigious international awards for his research including the 2008 IEEE Computational Intelligence Society (CIS) Outstanding Doctoral Dissertation Award and the 2011 International Neural Network Society (INNS) Young Investigator of the Year Award. He was an Ulster University Distinguished Research Fellow in 2011, a Royal Academy of Engineering/The Leverhulme Trust Senior Research Fellow in 2013 and a Royal Academy of Engineering Enterprise Fellow in 2016-2017. He is a founding member of the International Brain-Computer Interface Society, a Senior member of the IEEE and chairs the IEEE Computational Intelligence Society (CIS) UKIreland chapter.

Professor Coyle is also CEO of NeuroCONCISE Ltd, the Ulster University spinout company he founded in 2016, to build wearable neurotechnology that non-invasively measures and translates brainwaves into control signals using advanced algorithms to enable people to interact with technology and communicate without moving which has applications in rehabilitation, diagnostics, augmentative and assistive communication devices and entertainment.

Fingerprint Dive into the research topics where Damien Coyle is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Research Output 2003 2019

Classification of imagined spoken word-pairs using convolutional neural networks

Cooney, C., Raffaella, F. & Coyle, D., 2019, (Accepted/In press).

Research output: Contribution to conferencePaper

Brain computer interface
Neural networks
Decoding
Classifiers
Discriminant analysis

Neurogaming with motion-onset visual evoked potentials (mVEPs): adults versus teenagers

Beveridge, R., Wilson, S., Callaghan, M. & Coyle, D., 5 Mar 2019, (Accepted/In press) In : IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Research output: Contribution to journalArticle

Open Access
File
Visual Evoked Potentials
Video Games
Evoked Potentials
Open Access
File
Electroencephalography
Decoding
Brain computer interface
Neural networks
Learning systems

Answering questions in Prolonged disorders of consciousness with a brain-computer interface

Coyle, D., Dayan, N., Stow, J., McElligott, J. & Carroll, A., 21 May 2018.

Research output: Contribution to conferencePaper

Open Access
File
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