Personal profile
Research Interests
My research interests cuts across a number of areas from electronic health records to neuroscience to astrophysics. My particular areas of expertise include data visualisations and ensemble techniques in machine learning. I have authored and maintain a number of R packages.
Professional Information
physics, data science, neuroscience, bioinformatics
Education/Academic qualification
PhD
Award Date: 1 Jan 1992
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Collaborations and top research areas from the last five years
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From Clinic to Code: Using Clinician Insights to Develop a Framework for Fair and Representative Datasets in Women’s Health AI
Heaney, A., Murphy, E. & Hickey, E., 2026, Artificial Intelligence in Healthcare - 2nd International Conference, AIiH 2025, Proceedings. Cafolla, D., Rittman, T. & Ni, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 100-114 15 p. (Lecture Notes in Computer Science; vol. 16039 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile -
Bias in Context: Clinicians’ Perceptions of Women’s Healthcare
Heaney, A., Murphy, E. & Hickey, E., 2025, Pervasive Computing Technologies for Healthcare - 18th EAI International Conference, PervasiveHealth 2024, Proceedings. Kondylakis, H. & Triantafyllidis, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 179-197 19 p. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; vol. 611 LNICST).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Using machine learning to predict the correlation of spectra using SDSS magnitudes as an improvement to the Locus Algorithm
Hickey, E., Creaner, O., Nolan, K. & O'Flynn, T., Aug 2023, In: New Astronomy. 102, 102037.Research output: Contribution to journal › Article › peer-review
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The Locus Algorithm: A novel technique for identifying optimised pointings for differential photometry
Creaner, O., Nolan, K., Hickey, E. & Smith, N., Jan 2022, In: Astronomy and Computing. 38, 100537.Research output: Contribution to journal › Article › peer-review
Open Access -
The Locus Algorithm: The design, implementation and performance characterisation of a software and grid computing system to optimise the quality of fields of view for differential photometry
Creaner, O., Hickey, E., Walsh, J. & Nolan, K., Oct 2022, In: Astronomy and Computing. 41, 100656.Research output: Contribution to journal › Article › peer-review