Dr Timothy Rogers
MEng, PhD
School of Mechanical, Aerospace and Civil Engineering
Senior Lecturer in Mechanical Engineering
tim.rogers@sheffield.ac.uk
+44 114 222 7820
+44 114 222 7820
Sir Frederick Mappin Building
Full contact details
Dr Timothy Rogers
School of Mechanical, Aerospace and Civil Engineering
Sir Frederick Mappin Building
Mappin Street
91Ö±²¥
S1 3JD
School of Mechanical, Aerospace and Civil Engineering
Sir Frederick Mappin Building
Mappin Street
91Ö±²¥
S1 3JD
- Profile
-
Dr Timothy Rogers is a lecturer in the Dynamics Research Group (DRG), part of the Department of Mechanical Engineering at 91Ö±²¥.
He has completed both his MEng in Mechanical Engineering and his PhD at 91Ö±²¥, the title of which was "Towards Bayesian System Identifcation: With Application to SHM of Offshore Structures".
His work focusses on application of Machine Learning and Bayesian statistical methods to problems in structural dynamics in particular those within nonlinear system identification and Structural Health Monitoring (SHM).
- Research interests
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Current research interests include:
- Machine learning for structural dynamics and Structural Health Monitoring
- Bayesian statistical modelling of structural systems
- Probabilistic nonlinear system identification
- Joint input/state/parameter identification
- Publications
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Journal articles
- . IFAC-PapersOnLine, 58(15), 474-479.
- . Mechanical Systems and Signal Processing, 216, 111474-111474.
- . Journal of Physics: Conference Series, 2647(19).
- . Journal of Physics: Conference Series, 2647(3), 032002-032002.
- . Data-Centric Engineering, 5.
- . Journal of Sound and Vibration, 118381-118381.
- . Mechanical Systems and Signal Processing, 208, 110958-110958.
- . Journal of Sound and Vibration, 576.
- . IEEE Transactions on Biomedical Engineering, 1-13.
- . Mechanical Systems and Signal Processing, 188, 109984-109984.
- . Procedia CIRP, 117, 347-352.
- . Mechanical Systems and Signal Processing, 181, 109510-109510.
- . Mechanical Systems and Signal Processing, 180, 109426-109426.
- . Mechanical Systems and Signal Processing, 180.
- . Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 478(2262).
- . Journal of Sound and Vibration, 117063.
- . Mechanical Systems and Signal Processing, 163, 108143-108143.
- . Mechanical Systems and Signal Processing, 108530-108530.
- . Mechanical Systems and Signal Processing, 159, 107741.
- . Mechanical Systems and Signal Processing, 152, 107381-107381.
- . ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 7(1), 03120003-03120003.
- . Mechanical Systems and Signal Processing, 148.
- . Mechanical Systems and Signal Processing, 154.
- . Mechanical Systems and Signal Processing, 156.
- . Vibration, 3(3), 281-303.
- . Mechanical Systems and Signal Processing, 140.
- . Renewable Energy, 148, 1124-1136.
- . Mechanical Systems and Signal Processing, 134.
- . Mechanical Systems and Signal Processing, 119, 100-119.
- . Applied Mechanics and Materials, 885, 18-31.
- . Mechanical Systems and Signal Processing, 112, 194-232.
- . Mechanical Systems and Signal Processing, 104, 188-223.
- . Sensors, 24(15), 4883-4883.
- . e-Journal of Nondestructive Testing, 29(7).
- . Structural Health Monitoring, 147592172311553-147592172311553.
- . Structural Health Monitoring, 147592172211400-147592172211400.
- . Sensors, 23(1), 185-185.
- . Mechanical Systems and Signal Processing, 145.
- . Frontiers in Built Environment, 6.
- A Latent Restoring Force Approach to Nonlinear System Identification.
Chapters
- , Lecture Notes in Civil Engineering (pp. 609-617). Springer Nature Switzerland
- , Lecture Notes in Civil Engineering (pp. 652-662). Springer Nature Switzerland
- , Data Driven Methods for Civil Structural Health Monitoring and Resilience (pp. 120-180). CRC Press
- , Data Science in Engineering, Volume 10 (pp. 73-81). Springer Nature Switzerland
- , Lecture Notes in Civil Engineering (pp. 381-391). Springer International Publishing
- , Lecture Notes in Civil Engineering (pp. 462-471). Springer International Publishing
- , Computational Methods in Engineering & the Sciences (pp. 121-147). Springer International Publishing
- , Computational Methods in Engineering & the Sciences (pp. 85-119). Springer International Publishing
- , Ageing and Life Extension of Offshore Facilities (pp. 143-157). ASME
- , Handbook of Experimental Structural Dynamics (pp. 989-1061). Springer New York
- , Structural Integrity (pp. 347-367). Springer International Publishing
- , Structural Integrity (pp. 389-411). Springer International Publishing
- , Handbook of Experimental Structural Dynamics (pp. 1-72). Springer New York
- , Data Science in Engineering, Volume 9 (pp. 185-197).
- , Lecture Notes in Civil Engineering (pp. 415-426). Springer International Publishing
- , Lecture Notes in Civil Engineering (pp. 55-66). Springer International Publishing
- , Topics in Modal Analysis & Testing, Volume 8 (pp. 283-286). Springer International Publishing
- , Model Validation and Uncertainty Quantification, Volume 3 (pp. 247-253). Springer International Publishing
- , Model Validation and Uncertainty Quantification, Volume 3 (pp. 287-302). Springer International Publishing
- , Model Validation and Uncertainty Quantification, Volume 3 (pp. 237-246). Springer International Publishing
- , Handbook of Experimental Structural Dynamics (pp. 1-72). Springer New York
- , Special Topics in Structural Dynamics & Experimental Techniques, Volume 5 (pp. 77-81). Springer International Publishing
- , Conference Proceedings of the Society for Experimental Mechanics Series (pp. 223-233). Springer International Publishing
Conference proceedings papers
- . 2024 IEEE Conference on Control Technology and Applications (CCTA) (pp 382-387), 21 August 2024 - 23 August 2024.
- . International Conference on Optoelectronic Information and Functional Materials (OIFM 2024), 19 April 2024 - 21 April 2024.
- Cost-informed dimensionality reduction for structural digital twin technologies. Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics (pp 4529-4542)
- An efficient reversible-jump MCMC scheme for model term selection in dynamic systems. Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics (pp 4422-4431)
- (pp 151-158)
- (pp 81-91)
- . Proceedings of the 14th International Workshop on Structural Health Monitoring
- . Proceedings of the 14th International Workshop on Structural Health Monitoring
- APPROXIMATE BAYESIAN MODAL ANALYSIS WITH PARTICLE-SWARM PROPOSALS. UNCECOMP Proceedings
- CORRELATED GAUSSIAN PROCESS LATENT FORCE MODELS FOR RECOVERING MULTIPLE FORCES. UNCECOMP Proceedings
- A NOVEL VARIATIONAL BAYESIAN APPROACH TO STOCHASTIC SUBSPACE IDENTIFICATION. UNCECOMP Proceedings
- Physics-Informed Gaussian Processes for Wave Loading Prediction. Structural Health Monitoring 2023: Designing SHM for Sustainability, Maintainability, and Reliability - Proceedings of the 14th International Workshop on Structural Health Monitoring (pp 2205-2214)
- . Proceedings of the 5th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019) (pp 1-10), 12 June 2023 - 14 June 2023.
- . Proceedings of the 5th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019) (pp 621-632), 12 June 2023 - 14 June 2023.
- (pp 472-481)
- (pp 139-149)
- . Proceedings of the 13th International Workshop on Structural Health Monitoring
- Incorporation of partial physical knowledge within Gaussian processes. Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics (pp 4865-4877)
- Feedback control of flexible systems using Bayesian filtering. Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics (pp 4999-5010)
- OUTPUT-ONLY BAYESIAN SEMI-PARAMETRIC IDENTIFICATION OF A NONLINEAR DYNAMIC SYSTEM. 9th IOMAC International Operational Modal Analysis Conference, Proceedings (pp 156-164)
- ROBUST PROBABILISTIC CANONICAL CORRELATIONS FOR STOCHASTIC SUBSPACE IDENTIFICATION. 9th IOMAC International Operational Modal Analysis Conference, Proceedings (pp 124-132)
- Probabilistic numerical integration and sequential Monte Carlo for online identification of nonlinear dynamic systems. Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics (pp 4973-4984)
- Enhanced uncertainty quantification for acoustic emission localisation. Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics (pp 4890-4903)
- On higher-order frequency response functions from kernel-NARX methods. Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics (pp 2301-2315)
- Bayesian identification of material properties for a fibre-composite plate, via dispersion curves. Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics (pp 1866-1874)
- A nonparametric Bayesian approach for the detection of acoustic emission events in time series signals. Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics (pp 4777-4787)
- On quantifying the similarity of structures via a Graph Neural Network for population-based structural health monitoring. Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics (pp 3713-3721)
- 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)
- Constraining Gaussian processes for the inclusion of boundary conditions in physics-informed structural health monitoring. International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII, Vol. 2022-August (pp 445-451)
- Physically-informed kernels for wave loading prediction. International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII, Vol. 2022-August (pp 452-457)
- . IFAC-PapersOnLine, Vol. 54(7) (pp 168-173). Padova, Italy, 13 July 2021 - 16 July 2021.
- . Health Monitoring of Structural and Biological Systems XV, 22 March 2021 - 27 March 2021.
- . Health Monitoring of Structural and Biological Systems XV, 22 March 2021 - 27 March 2021.
- . IFAC PAPERSONLINE, Vol. 54(7) (pp 168-173)
- Nonlinear Gaussian process latent force models for input estimation in hysteretic systems. UNCECOMP Proceedings, Vol. 2021-June
- (pp 109-114)
- Lamb wave mode separation using dispersion curves. Proceedings of ISMA 2020 - International Conference on Noise and Vibration Engineering and USD 2020 - International Conference on Uncertainty in Structural Dynamics (pp 2891-2898)
- Data-driven strain prediction models and fatigue damage accumulation. Proceedings of ISMA 2020 - International Conference on Noise and Vibration Engineering and USD 2020 - International Conference on Uncertainty in Structural Dynamics (pp 3667-3675)
- Constraining Gaussian processes for grey-box acoustic emission source localisation. Proceedings of ISMA 2020 - International Conference on Noise and Vibration Engineering and USD 2020 - International Conference on Uncertainty in Structural Dynamics (pp 2789-2800)
- On the application of Gaussian process latent force models for Bayesian identification of the Duffing system. Proceedings of ISMA 2020 - International Conference on Noise and Vibration Engineering and USD 2020 - International Conference on Uncertainty in Structural Dynamics (pp 2141-2153)
- On decision-making for adaptive models combining physics and data. Proceedings of ISMA 2020 - International Conference on Noise and Vibration Engineering and USD 2020 - International Conference on Uncertainty in Structural Dynamics (pp 3623-3637)
- A spatiotemporal dual Kalman filter for the estimation of states and distributed inputs in dynamical systems. Proceedings of ISMA 2020 - International Conference on Noise and Vibration Engineering and USD 2020 - International Conference on Uncertainty in Structural Dynamics (pp 3591-3597)
- A grey-box model for wave loading prediction with uncertainty propagation. Proceedings of ISMA 2020 - International Conference on Noise and Vibration Engineering and USD 2020 - International Conference on Uncertainty in Structural Dynamics (pp 3611-3622)
- . Journal of Physics: Conference Series, Vol. 1264. Valpre, Lyon, France, 15 April 2019 - 17 April 2019.
- . Journal of Physics: Conference Series, Vol. 1264. Valpre, Lyon, France, 15 April 2019 - 17 April 2019.
- . Journal of Physics : Conference Series, Vol. 1264(1), 15 April 2019 - 17 April 2019.
- A nonlinear robust outlier detection approach for SHM. 8th IOMAC - International Operational Modal Analysis Conference, Proceedings (pp 107-114)
- . Journal of Physics: Conference Series, Vol. 1106(1), 2 July 2018 - 4 July 2018.
- A semi-supervised bayesian non-parametric approach to damage detection. 9th European Workshop on Structural Health Monitoring, EWSHM 2018
- A Bayesian filtering approach to operational modal analysis with recovery of forcing signals. Proceedings of ISMA 2018 - International Conference on Noise and Vibration Engineering and USD 2018 - International Conference on Uncertainty in Structural Dynamics (pp 5181-5194)
- (pp 167-178)
- (pp 203-221)
- On the choice of optimisation scheme for Gaussian process hyperparameters in SHM problems. Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017, Vol. 2 (pp 2103-2111)
- (pp 509-520)
- . e-Journal of Nondestructive Testing, Vol. 29(7)
- . Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- . Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- . Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- . Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- . Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
- . Structural Health Monitoring 2017, 12 September 2017 - 14 September 2017.
- A Gaussian Process Form for Population-Based Structural Health Monitoring. DAMAS 2019
Preprints
- Cost-informed dimensionality reduction for structural digital twin technologies, arXiv.
- Active learning for regression in engineering populations: A risk-informed approach, arXiv.
- , arXiv.
- BINDy -- Bayesian identification of nonlinear dynamics with reversible-jump Markov-chain Monte-Carlo.
- , arXiv.
- , arXiv.
- , arXiv.
- , arXiv.
- , arXiv.
- , arXiv.
- , arXiv.
- , arXiv.
- , arXiv.
- , arXiv.
- , arXiv.
- Physics-informed machine learning for Structural Health Monitoring, arXiv.
- , arXiv.
- Informative Bayesian Tools for Damage Localisation by Decomposition of Lamb Wave Signals, arXiv.
- Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm, arXiv.
- Grey-box models for wave loading prediction, arXiv.
- Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data, arXiv.
- Structured Machine Learning Tools for Modelling Characteristics of Guided Waves, arXiv.
- .