Dr Sean McGowan
Course Coordinator
School of Electrical and Mechanical Engineering
Faculty of Sciences, Engineering and Technology
My research interests revolve around how to best analyse, predict, and control chaotic dynamical systems when only imperfect models and noisy data are available. This extends from study into data-driven dynamical systems to data assimilation.
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Journals
Year Citation 2025 McGowan, S. P., Jones, N. L., Robertson, W. S. P., & Balasuriya, S. (2025). Data-Driven Dynamic Modal Bias Analysis and Correction for Earth System Models. Journal of Advances in Modeling Earth Systems, 17(5), 25 pages.
2024 McGowan, S. P., Robertson, W. S. P., Blachut, C., & Balasuriya, S. (2024). Optimal Reconstruction of Vector Fields from Data for Prediction and Uncertainty Quantification. Journal of Nonlinear Science, 34(4), 73-1-73-29.
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Preprint
Year Citation 2024 McGowan, S. P., Jones, N. L., Robertson, W., & Balasuriya, S. (2024). Modal error analysis and prediction compensation for Earth system models.
DOI2024 McGowan, S. P., Jones, N. L., Robertson, W., & Balasuriya, S. (2024). Data-driven dynamic modal bias analysis and correction for Earth system models.
DOI
Throughout my study I have had a number of professional roles including tutoring, course coordinating, and course developing. These include roles across Mathematics and Engineering faculties at the University of Adelaide.
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