Research output per year
Research output per year
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
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Norma Bargary
- Department of Mathematics and Statistics - Professor
- Centre for Research Training in Foundations of Data Science - Member
- Mathematics Applications Consortium for Science and Industry (MACSI) - Member
- SSPC - the Research Ireland Centre for Pharmaceuticals - Member
- Sports and Human Performance Research Centre - Member
Person: Academic
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Kevin Burke
- Department of Mathematics and Statistics - Associate Professor
- Centre for Research Training in Foundations of Data Science - Member
- Limerick Digital Cancer Research Centre - Member
- Mathematics Applications Consortium for Science and Industry (MACSI) - Member
Person: Academic
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4D Printing of Weather Resistant Structures Reinforced with Functionalised Graphene Nanoplatelets
Alsaadi, M., Hinchy, E. P., McCarthy, C. T., de Lima, T. A. D. M., Portela, A., Coudray, T. & Devine, D. M., 2025, Proceedings of the ICSDI 2024 - Proceedings of the 2nd International Conference on Sustainability: Developments and Innovations. Mansour, Y., Subramaniam, U., Mustaffa, Z., Abdelhadi, A., Ezzat, M. & Abowardah, E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 188-195 8 p. (Lecture Notes in Civil Engineering; vol. 556 LNCE).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A machine learning approach for image classification in synthetic aperture RADAR.
Gaburro, R., Healy, P., Naidu, S. & Nolan, C., 2025.Research output: Working paper › Preprint
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Analysis of a mathematical model for multi-phase motion and local non-equilibrium heat transfer in a blast furnace
Vynnycky, M., Rangavittal, B. V. & Glaser, B., Feb 2025, In: Journal of Engineering Mathematics. 150, 1, 16.Research output: Contribution to journal › Article › peer-review