Personal profile
Professional Information
Lecturer Computer Science UCD 1986-1988
Lecturer 2 School of Computer Science to Present
Course Chair CPDs Accessible Web Design, Clinical Coding Ireland with Healthcare Purchasing Office, Degree Computer Science and Software Engineering
External Examiner Southampton University, UCD, Letterkenny IT, Limerick IT IADT, Dundalk IT
IDA Project Assessor
Member of CEN / 428 National Mirror Group on eCompetency Standards
Contributing author to CEN Workshop Agreement CWA 16266 “Curriculum for Training ICT professionals in Universal Design
Principal Investigator DIT IDA PAT Projects, EU E4 EQUAL project,EU Erasmus MOOCAP project , Marie Cuirie AssistID project and many more
Member of Scientific Committee for AAATE 2003, Universal Design 2016 anmd 2018
Research Interests
Digital Accessibility, Universal Design, Assistive ICT, Formal Methods, Intelligent Systems, Medical Informatics
Education/Academic qualification
PhD
Award Date: 1 Jan 2012
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Collaborations and top research areas from the last five years
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Perceptions and knowledge of machine learning for paediatric related decision support in emergency care – A UK and Ireland network survey study of clinician leaders
behalf of PERUKI, Feb 2026, In: PLOS Digital Health. 5, 2 February, e0001213.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Inclusion4EU: Co-Designing a Framework for Inclusive Software Design and Development
O'Sullivan, D., Murphy, E., Curley, A., Gilligan, J., Gordon, D., Becevel, A., Hensman, S., Rocha, M., Rivera, C., Collins, M., Gibson, J. P., Dodig-Crnkovic, G., Kearney, G. & Boland, S., 23 Aug 2023, Assistive Technology: Shaping a Sustainable and Inclusive World. Archambault, D. & Kouroupetroglou, G. (eds.). IOS Press BV, p. 497-502 6 p. (Studies in Health Technology and Informatics; vol. 306).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Supporting clinical decision making in the emergency department for paediatric patients using machine learning: A scoping review protocol
Leonard, F., Sullivan, D. O., Gilligan, J., Shea, N. O. & Barrett, M. J., Nov 2023, In: PLoS ONE. 18, 11 November, e0294231.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Development of a low-dimensional model to predict admissions from triage at a pediatric emergency department
Leonard, F., Gilligan, J. & Barrett, M. J., Aug 2022, In: JACEP Open. 3, 4, e12779.Research output: Contribution to journal › Article › peer-review
Open Access -
Predicting Admissions From a Paediatric Emergency Department – Protocol for Developing and Validating a Low-Dimensional Machine Learning Prediction Model
Leonard, F., Gilligan, J. & Barrett, M. J., 16 Apr 2021, In: Frontiers in Big Data. 4, 9 p., 643558.Research output: Contribution to journal › Article › peer-review
Open Access