Dr Barry Sheehan is a lecturer in risk and finance in the Kemmy Business School at the University of Limerick. He is a researcher with extensive insurance industry and academic experience. With a professional background in actuarial science, his research uses machine-learning techniques to estimate the changing risk profile produced by emerging technologies. He is contributing member of Emerging Risk Group (ERG) at the University of Limerick which has a long-established expertise in insurance and risk management and has a continued success within large research consortia including a number of EU H2020 and FP7 research projects.
Publications
2023
Castignani, German, Masello, Leandro, Murphy, Finbarr, Shannon, Darren, Sheehan, Barry.
2023.
On the impact of advanced driver assistance systems on driving distraction and risky behaviour: An empirical analysis of irish commercial drivers.
Accident; Analysis and Prevention, 183, 106969.
doi: 10.1016/j.aap.2023.106969.
Mccullagh, Orla, Mullins, Martin, Shannon, Darren, Sheehan, Barry.
2023.
On the benefits of insurance and disaster risk management integration for improved climate-related natural catastrophe resilience.
Environment Systems and Decisions, 1-10.
doi: 10.1007/s10669-023-09929-8.
2022
Castignani, German, Cunneen, Martin, Mullins, Martin, Owens, Emer, Ressel, Juliane, Sheehan, Barry.
2022.
Explainable Artificial Intelligence (XAI) in Insurance.
Risks, 10, 230.
doi: 10.3390/risks10120230.
Fortmann, M, Humberg, C, Materne, S, Shannon, D, Sheehan, B.
2022.
Diversification and Solvency II: the capital effect of portfolio swaps on non-life insurers.
The Geneva Papers on Risk and Insurance-Issues and Practice,, 1-34.
doi: 10.1057/s41288-022-00269-3.
Cremer, Frank, Fortmann, Michael, Kia, Arash N, Materne, Stefan, Mullins, Martin, Murphy, Finbarr, Sheehan, Barry.
2022.
Cyber risk and cybersecurity: a systematic review of data availability.
The Geneva papers on risk and insurance. Issues and practice, 1{textemdash}39.
doi: 10.1057/s41288-022-00266-6.
2019
Conor Ryan, M Mullins, Murphy, Finbarr, Sheehan, Barry.
2019.
Connected and autonomous vehicles: A cyber-risk classification framework.
Transportation Research Part A: Policy and Practice.
doi: https://doi.org/10.1016/j.tra.2018.06.033.
Furxhi, Irini, M Mullins, Mantecca, Paride, Murphy, Finbarr, Poland, Craig, Sheehan, Barry.
2019.
Application of Bayesian networks in determining nanoparticle-induced cellular outcomes using transcriptomics.
Nanotoxicology, 13, 1-22.
doi: 10.1080/17435390.2019.1595206.
2018
Furxhi, I, M Mullins, Mantecca, P, Murphy, F, Sheehan, B.
2018.
Predicting Nanomaterials toxicity pathways based on genome-wide transcriptomics studies using Bayesian networks.
In: 2018 IEEE 18th International Conference on Nanotechnology (IEEE-NANO).
doi: 10.1109/NANO.2018.8626300.
Costa, A.L, Furxhi, I, M Mullins, Mantecca, P, Murphy, F, Sheehan, B, Simeone, F.C.
2018.
Hazard Screening Methods for Nanomaterials: A Comparative Study.
Int. J. Mol. Sci.
doi: 10.3390/ijms19030649..
Contact Details
University of Limerick