Recommended citation: Reguly, I. Z., Giles, D., Gopinathan, D., Quivy, L., Beck, J. H., Giles, M. B., Guillas, S., and Dias, F.: The VOLNA-OP2 tsunami code (version 1.5), Geosci. Model Dev., 11, 4621–4635, 2018. https://doi.org/10.5194/gmd-11-4621-2018

Modelling with Volna-OP2—Towards Tsunami Threat Reduction for the Irish Coastline

Geosciences, 2020

Recommended citation: Giles, D., McConnell, B., and Dias, F.: Modelling with Volna-OP2—Towards Tsunami Threat Reduction for the Irish Coastline, Geosciences, 10(6), 226, 2020. https://doi.org/10.3390/geosciences10060226

Performance analysis of Volna-OP2 – massively parallel code for tsunami modelling

Computers & Fluids, 2020

Recommended citation: Giles, D., Kashdan, E., Salmanidou, M. D., Guillas, S., and Dias, F.: Performance analysis of Volna-OP2 – massively parallel code for tsunami modelling, Computers & Fluids, 209, 104649, 2020. https://doi.org/10.1016/j.compfluid.2020.104649

Faster Than Real Time Tsunami Warning with Associated Hazard Uncertainties

Frontiers in Earth Sciences, 2021

Recommended citation: Giles, D., Gopinathan, D., Guillas, S., and Dias, F.: Faster Than Real Time Tsunami Warning with Associated Hazard Uncertainties, Front. Earth Sci., 8, 226, 2021. https://doi.org/10.3389/feart.2020.597865

Automated approaches for capturing localized tsunami response—Application to the French coastlines.

Journal of Geophysical Research: Oceans, 2022

Recommended citation: Giles, D., Gailler, A., & Dias, F.: Automated approaches for capturing localized tsunami response—Application to the French coastlines. Journal of Geophysical Research: Oceans, 127, 2022 https://doi.org/10.1029/2022JC018467

Multilevel Bayesian Quadrature

Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, 2023

Recommended citation: Kaiyu, L., Giles, D., Karvonen, T., Guillas, S. and Briol, F.X.: Multilevel Bayesian Quadrature, Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, 206, 1845--1868, 2023. https://proceedings.mlr.press/v206/li23a.html

Meteotsunamis and other anomalous “tidal surge” events in western Europe in summer 2022

Physics of Fluids, 2023

Recommended citation: E. Renzi, C. Bergin, T. Kokina, D. S. Pelaez-Zapata, D. Giles and F. Dias: Meteotsunamis and other anomalous “tidal surge” events in Western Europe in Summer 2022. Physics of Fluids, 35, 4, 2023 https://doi.org/10.1063/5.0139220

Time-dependent influence metric for cascade dynamics on networks

Physical Review E (under review), 2024

Recommended citation: Gleeson, J., Cassidy, A., Giles, D. and Faqeeh, A.: Time-dependent influence metric for cascade dynamics on networks, 2024. https://doi.org/10.48550/arXiv.2401.16978

ParticleDA.jl v.1.0: a distributed particle-filtering data assimilation package

Geoscientific Model Development, 2024

Recommended citation: Giles, D., Graham, M. M., Giordano, M., Koskela, T., Beskos, A., and Guillas, S.: ParticleDA.jl v.1.0: a distributed particle-filtering data assimilation package, Geosci. Model Dev., 17, 2427–2445, 2024. https://doi.org/10.5194/gmd-17-2427-2024

Comparison of local amplification factors for fast forecast coastal tsunami amplitude modeling based on the extended Green’s law

Published: April 28, 2020

teaching

Mathematics Tutor

Sep. 2015 - Dec. 2020, Mathematics Support Centre, University College Dublin, 2015

Provided help and support to undergraduate students from a wide range of disciplines
The team of tutors were awarded the `excellence in teaching’ award by the UCD student body in 2018

Teaching Assistant (TA)

Oct. 2017 – Jan. 2021, School of Mathematics and Statistics, University College Dublin, 2017

TA for a wide range of lower level and postgraduate modules from a diverse range of schools (Sciences, Engineering and Business)

Dan Giles

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Providing Historical Context To An Event In Real Time (AON)

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