Organisation profile
Organisation profile
The Centre for Research Training in Foundations of Data Science, funded by Science Foundation Ireland and Skillnet Ireland and supported and facilitated by Technology Ireland ICT Skillnet, is a large-scale collaborative initiative between the University of Limerick, University College Dublin, and Maynooth University. The Centre combines the expertise of world-class academics, international collaborators and industry partners, to create a centre of excellence in PhD training.
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Dive into the research topics where Centre for Research Training in Foundations of Data Science is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
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Profiles
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Norma Bargary
- Department of Mathematics and Statistics - Professor
- Centre for Research Training in Foundations of Data Science - Professor
- Mathematics Applications Consortium for Science and Industry (MACSI) - Professor
- SSPC - the Research Ireland Centre for Pharmaceuticals - Professor
- Sports and Human Performance Research Centre - Professor
Person: Academic
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Eugene Benilov
- Department of Mathematics and Statistics - Professor
- Centre for Research Training in Foundations of Data Science - Professor
- Mathematics Applications Consortium for Science and Industry (MACSI) - Professor
Person: Academic
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Kevin Burke
- Department of Mathematics and Statistics - Associate Professor
- Centre for Research Training in Foundations of Data Science - Associate Professor
- Limerick Digital Cancer Research Centre - Associate Professor
- Mathematics Applications Consortium for Science and Industry (MACSI) - Associate Professor
Person: Academic
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Alignment and Differentiation: How Language and Network Proximity Drive Opinion-Based Group Formation Online
Morselli, D., Durrheim, K., Beramendi, M., Sepahpour-Fard, M., Mafunda, M., Martinez Torres, A., Ohamadike, N., Quayle, M. & Schuld, M., Feb 2026, In: European Journal of Social Psychology. 56, 1, p. 210-224 15 p.Research output: Contribution to journal › Article › peer-review
Open Access -
In-situ evaluation of hole quality and cutting tool condition in robotic drilling of composite materials using machine learning
Lee, S. K. H., Mongan, P. G., Farhadi, A., Hinchy, E. P., O’Dowd, N. P. & McCarthy, C. T., Jan 2026, In: Journal of Intelligent Manufacturing. 37, 1, p. 97-118 22 p., 110074.Research output: Contribution to journal › Article › peer-review
Open Access -
Personalized PHQ-9 test length using probability density estimation based on conditional probability and K-Nearest Neighbours
Abdulhussein, Z., Scazufca, M. & van de Ven, P., Mar 2026, In: Internet Interventions. 43, 100919.Research output: Contribution to journal › Article › peer-review
Open Access