Matthew R. Jones

Engineering · Physical Sciences

10h-index282citations50works3.62yr avg
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Research Topics

Structural Health Monitoring Techniques(15), Probabilistic and Robust Engineering Design(10), Gaussian Processes and Bayesian Inference(9), Atmospheric and Environmental Gas Dynamics(6), Ultrasonics and Acoustic Wave Propagation(5)

Publications47 total

Parameter Estimation by Optimization of Interpretable Hyperparameters with Physics-Informed Gaussian Processes
2025Open Access
Deep Learning Surrogates for Real-Time Gas Emission Inversion
arXiv (Cornell University)·2025Open Access
Physically-informed change-point kernels for structural dynamics
arXiv (Cornell University)·2025Open Access
Grey-Box Gaussian Processes for Mode Shape Normalisation: Damage Localisation under Environmental and Operational Variability
SSRN Electronic Journal·2025Open Access
Physically-Informed Change-Point Kernels for Structural Dynamics
SSRN Electronic Journal·2025Open Access
Probabilistic Inversion Modeling of Gas Emissions: A Gradient-Based MCMC Estimation of Gaussian Plume Parameters
arXiv (Cornell University)·2024Open Access
Preserving Surface Strain in Nanocatalysts via Morphology Control
arXiv (Cornell University)·2024Open Access
Gaussian process kernels for partial physical insight
e-Journal of Nondestructive Testing·2024Open Access
Physically-informed change-point kernels for variable levels of physical knowledge inclusion in Gaussian processes
e-Journal of Nondestructive Testing·2024· 1 citedOpen Access
Full-scale modal testing of a Hawk T1A aircraft for benchmarking vibration-based methods
Journal of Sound and Vibration·2024· 7 citedOpen Access
Long-term continuous monitoring of methane emissions at an oil and gas facility using a multi-open-path laser dispersion spectrometer
Scientific Reports·2024· 12 citedOpen Access
A spectrum of physics-informed Gaussian processes for regression in engineering
Data-Centric Engineering·2024· 21 citedOpen Access
Meta-models for transfer learning in source localization
Data-Centric Engineering·2024Open Access
A probabilistic approach for acoustic emission based monitoring techniques: With application to structural health monitoring
Mechanical Systems and Signal Processing·2023· 21 citedOpen Access
Full-scale modal testing of a Hawk T1A aircraft for benchmarking vibration-based methods
arXiv (Cornell University)·2023Open Access
A spectrum of physics-informed Gaussian processes for regression in engineering
arXiv (Cornell University)·2023· 1 citedOpen Access
Physically meaningful uncertainty quantification in probabilistic wind turbine power curve models as a damage-sensitive feature
Structural Health Monitoring·2023· 17 citedOpen Access
A Suspected Case of Levetiracetam Induced Rhabdomyolysis
Aesculapius·2023Open Access
CORRELATED GAUSSIAN PROCESS LATENT FORCE MODELS FOR RECOVERING MULTIPLE FORCES
UNCECOMP Proceedings·2023Open Access
Full-Scale Modal Testing of a Hawk T1a Aircraft for Benchmarking Vibration-Based Methods
SSRN Electronic Journal·2023· 2 citedOpen Access
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Frequent Co-authors

Elizabeth J. Cross(18), Timothy J. Rogers(17), David Randell(11), Philip Jonathan(9), Daniel James Pitchforth(7), Samuel J. Gibson(5), Keith Worden(4), Bill Hirst(4), Marcella Dean(4), Robert J. Macfarlane(4), Chad A. Mirkin(4), Michael Goldstein(3), Damien Weidmann(3), Marcus Haywood-Alexander(3), Robin S. Mills(3), Max D. Champneys(3), Matthew S. Bonney(3), David Wagg(3), Andrew J. Senesi(3), Daniel J. Eichelsdoerfer(3)