Timothy J. Rogers

According to our database, Timothy J. Rogers authored at least 27 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Neutron Reflectometry by Gradient Descent.

Max D. Champneys, Andrew J. Parnell, Philipp Gutfreund, Maximilian W. A. Skoda, J. Patrick A. Fairclough, Timothy J. Rogers, Stephanie L. Burg

CoRR, September, 2025

Towards Agent-based Test Support Systems: An Unsupervised Environment Design Approach.

Collins O. Ogbodo, Timothy J. Rogers, Mattia Dal Borgo, David J. Wagg

CoRR, August, 2025

Adaptive Sensor Steering Strategy Using Deep Reinforcement Learning for Dynamic Data Acquisition in Digital Twins.

Collins O. Ogbodo, Timothy J. Rogers, Mattia Dal Borgo, David J. Wagg

CoRR, April, 2025

2024

Calibrating the Discrete Boundary Conditions of a Dynamic Simulation: A Combinatorial Approximate Bayesian Computation Sequential Monte Carlo (ABC-SMC) Approach.

Jah Shamas, Timothy J. Rogers, Anton Krynkin, Jevgenija Prisutova, Paul Gardner, Kirill V. Horoshenkov, Samuel R. Shelley, Paul Dickenson

Sensors, August, 2024

On Gait Consistency Quantification Through ARX Residual Modeling and Kernel Two-Sample Testing.

Alexandru Stihi, Timothy J. Rogers, Claudia Mazzà, Elizabeth J. Cross

IEEE Trans. Biomed. Eng., March, 2024

Cost-informed dimensionality reduction for structural digital twin technologies.

Aidan J. Hughes, Keith Worden, Nikolaos Dervilis, Timothy J. Rogers

CoRR, 2024

Active learning for regression in engineering populations: A risk-informed approach.

Daniel R. Clarkson, Lawrence A. Bull, Chandula T. Wickramarachchi, Elizabeth J. Cross, Timothy J. Rogers, Keith Worden, Nikolaos Dervilis, Aidan J. Hughes

CoRR, 2024

A new perspective on Bayesian Operational Modal Analysis.

Brandon J. O'Connell, Max D. Champneys, Timothy J. Rogers

CoRR, 2024

BINDy - Bayesian identification of nonlinear dynamics with reversible-jump Markov-chain Monte-Carlo.

Max D. Champneys, Timothy J. Rogers

CoRR, 2024

Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: A new full-scale dataset for structural health monitoring.

James Wilson, Max D. Champneys, Matt Tipuric, Robin S. Mills, David J. Wagg, Timothy J. Rogers

CoRR, 2024

Baseline Results for Selected Nonlinear System Identification Benchmarks.

Max D. Champneys, Gerben Izaak Beintema, Roland Tóth, Maarten Schoukens, Timothy J. Rogers

CoRR, 2024

Probabilistic Numeric SMC Sampling for Bayesian Nonlinear System Identification in Continuous Time.

Joe D. Longbottom, Max D. Champneys, Timothy J. Rogers

CoRR, 2024

Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics.

Wouter M. Kouw, Caspar Gruijthuijsen, Lennart Blanken, Enzo Evers, Timothy J. Rogers

Proceedings of the IEEE Conference on Control Technology and Applications, 2024

2023

A Bayesian Method for Material Identification of Composite Plates via Dispersion Curves.

Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden, Robin S. Mills, Purim Ladpli, Timothy J. Rogers

Sensors, 2023

Sharing Information Between Machine Tools to Improve Surface Finish Forecasting.

Daniel R. Clarkson, Lawrence A. Bull, Tina A. Dardeno, Chandula T. Wickramarachchi, Elizabeth J. Cross, Timothy J. Rogers, Keith Worden, Nikolaos Dervilis, Aidan J. Hughes

CoRR, 2023

Full-scale modal testing of a Hawk T1A aircraft for benchmarking vibration-based methods.

Marcus Haywood-Alexander, Robin S. Mills, Max D. Champneys, Matthew R. Jones, Matthew S. Bonney, David J. Wagg, Timothy J. Rogers

CoRR, 2023

A spectrum of physics-informed Gaussian processes for regression in engineering.

Elizabeth J. Cross, Timothy J. Rogers, Daniel J. Pitchforth, Samuel J. Gibson, Matthew R. Jones

CoRR, 2023

A Robust Probabilistic Approach to Stochastic Subspace Identification.

Brandon J. O'Connell, Timothy J. Rogers

CoRR, 2023

PAO: A general particle swarm algorithm with exact dynamics and closed-form transition densities.

Max D. Champneys, Timothy J. Rogers

CoRR, 2023

2022

Physically Meaningful Uncertainty Quantification in Probabilistic Wind Turbine Power Curve Models as a Damage Sensitive Feature.

J. H. McLean, Matthew R. Jones, Brandon J. O'Connell, Andrew Eoghan Maguire, Timothy J. Rogers

CoRR, 2022

Physics-informed machine learning for Structural Health Monitoring.

Elizabeth J. Cross, Samuel J. Gibson, Matthew R. Jones, Daniel J. Pitchforth, Sikai Zhang, Timothy J. Rogers

CoRR, 2022

Constraining Gaussian processes for physics-informed acoustic emission mapping.

Matthew R. Jones, Timothy J. Rogers, Elizabeth J. Cross

CoRR, 2022

2021

Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm.

Lawrence A. Bull, P. A. Gardner, Timothy J. Rogers, Nikolaos Dervilis, Elizabeth J. Cross, Evangelos Papatheou, Andrew Eoghan Maguire, C. Campos, Keith Worden

CoRR, 2021

Grey-box models for wave loading prediction.

Daniel J. Pitchforth, Timothy J. Rogers, Ulf T. Tygesen, Elizabeth J. Cross

CoRR, 2021

Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data.

Lawrence A. Bull, Paul Gardner, Timothy J. Rogers, Elizabeth J. Cross, Nikolaos Dervilis, Keith Worden

CoRR, 2021

Structured Machine Learning Tools for Modelling Characteristics of Guided Waves.

Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden, Elizabeth J. Cross, Robin S. Mills, Timothy J. Rogers

CoRR, 2021

2020

A Bayesian methodology for localising acoustic emission sources in complex structures.

Matthew R. Jones, Timothy J. Rogers, Keith Worden, Elizabeth J. Cross

CoRR, 2020