Dr Brandon John O’Connell (he/him)
School of Mechanical, Aerospace and Civil Engineering
Research Associate
b.j.oconnell@sheffield.ac.uk
F28, George Porter Building
Full contact details
Dr Brandon John O’Connell
School of Mechanical, Aerospace and Civil Engineering
F28
George Porter Building
Wheeldon Street
Sheffield
S3 7HQ
School of Mechanical, Aerospace and Civil Engineering
F28
George Porter Building
Wheeldon Street
Sheffield
S3 7HQ
- Profile
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I am a Research Associate based in the Dynamics Research Group at the University of Sheffield, currently working on the ROSEHIPS programme grant. I work in the areas of Structural Health Monitoring, Bayesian Inference, Uncertainty Quantification, and Operational Modal Analysis.
In February 2025, I was awarded my PhD in Bayesian uncertainty quantification for structural dynamics applications at the University of Sheffield
I also hold an MEng (Hons) in Aerospace Engineering with a Year in Industry, graduating from the University of Sheffield in 2020.
- Research interests
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My research interests include:
- Probabilistic and Bayesian Uncertainty Quantification
- Population-based Structural Health Monitoring (PBSHM)
- Operational Modal Analysis
- Stochastic State Space Methods
- Bayesian Machine Learning and Hierarchical Modelling
- Statistical Finite Elements
- Publications
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Show: Featured publications All publications
Featured publications
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All publications
Journal articles
- . Mechanical Systems and Signal Processing, 236.
- . Journal of Sound and Vibration, 581, 118381-118381.
- . Structural Health Monitoring, 22(6), 3623-3636.
Book chapters
- In Rainieri C, Gentile C & Aenlle López M (Ed.), Proceedings of the 10th International Operational Modal Analysis Conference (IOMAC 2024): Volume 1 (pp. 609-617). Springer Nature Switzerland
Conference proceedings
- Exploring Physically Meaningful Prior Distributions for OMA. Proceedings of the 11th International Operational Modal Analysis Conference Iomac 2025 (pp 304-311)
- . Eccomas Proceedia, Vol. 19796 (pp 82-93). Athens, Greece, 12 June 2023 - 12 June 2023.
- Robust probabilistic canonical correlations for stochastic subspace identification. Proceedings of the 9th International Operational Modal Analysis Conference (IOMAC) (pp 124-132). Vancouver, Canada, 3 July 2022 - 3 July 2022.
- Bayesian canonical correlations for stochastic subspace identification. Proceedings of ISMA 2022 International Conference on Noise and Vibration Engineering and Usd 2022 International Conference on Uncertainty in Structural Dynamics (pp 4904-4913)
Preprints
- , arXiv.
- , arXiv.
- Research group
- Professional activities and memberships
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Awards:
- Best Research Paper, 9th International Operational Modal Analysis Conference (IOMAC) 2022
- Young Researcher's Best Paper, 10th International Operational Modal Analysis Conference (IOMAC) 2024
Links