Research output per year
Research output per year
Personal profile
Biography
Kevin Nolan is a PhD researcher at Ulster University. He obtained an undergraduate degree in theoretical physics from University College Dublin, and spent two years working as a quantitative risk analyst and model developer at Allied Irish Bank. His PhD is focused on the use of machine learning to model chaotic systems, and his research interests include machine learning, neural networks, time series analysis and nonlinear dynamics. He is part of the Artificial Intelligence Research Centre (AIRC) and his PhD is associated with the PwC ARC project.
Education/Academic qualification
Bachelor, B.Sc. Theoretical Physics, University College Dublin
1 Sept 2017 → 17 Jun 2021
Award Date: 17 Jun 2021
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Research output
- 1 Chapter
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Model Variance in Neural Network Models for Forecasting Chaotic Systems
Nolan, K., McCartney, M., Glass, D. H. & Moore, S., 8 Jan 2025, (Published online) Advances in Computational Intelligence Systems: Contributions Presented at the 23rd UK Workshop on Computational Intelligence (UKCI 2024), September 2-4, 2024, Ulster University, Belfast, UK. Zheng, H., Glass, D., Mulvenna, M., Liu, J. & Wang, H. (eds.). 1 ed. Springer Cham, Vol. 1462. p. 119-125 7 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review