Dr Brandon John O’Connell (he/him)

School of Mechanical, Aerospace and Civil Engineering

Research Associate

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b.j.oconnell@sheffield.ac.uk

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:

  • 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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All publications

Journal articles

  • O’Connell BJ, Champneys MD & Rogers TJ (2025) . Mechanical Systems and Signal Processing, 236.
  • O’Connell BJ & Rogers TJ (2024) . Journal of Sound and Vibration, 581, 118381-118381.
  • Mclean JH, Jones MR, O’Connell BJ, Maguire E & Rogers TJ (2023) . Structural Health Monitoring, 22(6), 3623-3636.

Book chapters

  • O’Connell BJ & Rogers TJ (2024) 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

  • O'Connell BJ & Rogers TJ (2025) Exploring Physically Meaningful Prior Distributions for OMA. Proceedings of the 11th International Operational Modal Analysis Conference Iomac 2025 (pp 304-311)
  • O'Connell BJ, Champneys MD, Cross EJ & Rogers TJ (2023) . Eccomas Proceedia, Vol. 19796 (pp 82-93). Athens, Greece, 12 June 2023 - 12 June 2023.
  • 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.
  • 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)

Preprints

  • O'Connell BJ, Champneys MD & Rogers TJ (2024) , arXiv.
  • Mclean JH, Jones MR, O'Connell BJ, Maguire AE & Rogers TJ (2022) , arXiv.
Research group

Dynamics Research Group

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