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RESEARCH

Our research spans numerous topics ranging from applied mathematics to Bayesian inference, and computational simulation techniques. Do check out some of our research outputs below.


PAPERS

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Prior-informed uncertainty modelling with Bayesian polynomial approximations
Chun Yui Wong, Pranay Seshadri, Andrew Duncan, Ashley Scillitoe, Geoff Parks
Under review (2022)
preprint | discourse


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Polynomial ridge flow field estimation
Ashley Scillitoe, Pranay Seshadri, Chun Yui Wong, Andrew B. Duncan
Physics of Fluids (2021)
preprint


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Extremum sensitivity analysis with polynomial Monte Carlo filtering
Chun Yui Wong, Pranay Seshadri, Geoff Parks
Reliability Engineering & System Safety (2021)
preprint | paper | discourse


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Embedded ridge approximations
Chun Yui Wong, Pranay Seshadri, Geoff Parks, Mark Girolami
Computer Methods in Applied Mechanics & Engineering (2020)
preprint | paper | discourse


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Blade envelopes part I: concept & methodology
Chun Yui Wong, Pranay Seshadri, Ashley Scillitoe, Andrew B. Duncan, Geoff Parks
ASME Journal of Turbomachinery (2022)
preprint | discourse


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Blade envelopes part II: multiple objectives & inverse design
Chun Yui Wong, Pranay Seshadri, Ashley Scillitoe, Bryn Noel Ubald, Andrew B. Duncan, Geoff Parks
ASME Journal of Turbomachinery (2022)
preprint | discourse


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Effectively subsampled quadratures for least squares polynomial approximations
Pranay Seshadri, Akil Narayan, Sankaran Mahadevan
SIAM/ASA Journal on Uncertainty Quantification (2017)
preprint | paper