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

Profile: 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

My research interests include:

Publications

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Featured publications

This person does not have any publications available.

O’Connell BJ, Champneys MD & Rogers TJ (2025) A new perspective on Bayesian operational modal analysis. Mechanical Systems and Signal Processing, 236. View this article in WRRO
O’Connell BJ & Rogers TJ (2024) A robust probabilistic approach to stochastic subspace identification. Journal of Sound and Vibration, 581, 118381-118381.
Mclean JH, Jones MR, O’Connell BJ, Maguire E & Rogers TJ (2023) Physically meaningful uncertainty quantification in probabilistic wind turbine power curve models as a damage-sensitive feature. Structural Health Monitoring, 22(6), 3623-3636. View this article in WRRO

O’Connell BJ & Rogers TJ (2024) On improving the efficiency of Bayesian stochastic subspace identification 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 View this article in WRRO

O'Connell BJ, Champneys MD, Cross EJ & Rogers TJ (2023) A novel variational Bayesian approach to stochastic subspace identification. Eccomas Proceedia, Vol. 19796 (pp 82-93). Athens, Greece, 12 June 2023 - 12 June 2023. View this article in WRRO
O'Connell BJ, Cross EJ & Rogers TJ (2022) 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. View this article in WRRO
O'Connell BJ, Cross EJ, Tygesen UT & Rogers TJ (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)

Professional activities and memberships

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