Dr Timothy Rogers

MEng, PhD

Department of Mechanical Engineering

Senior Lecturer in Mechanical Engineering

Tim Rogers
Profile picture of Tim Rogers
tim.rogers@sheffield.ac.uk
+44 114 222 7820

Full contact details

Dr Timothy Rogers
Department of Mechanical Engineering
Sir Frederick Mappin Building
Mappin Street
Sheffield
S1 3JD
Profile

Dr Timothy Rogers is a lecturer in the Dynamics Research Group (DRG), part of the Department of Mechanical Engineering at The University of Sheffield.

He has completed both his MEng in Mechanical Engineering and his PhD at Sheffield, 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

    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

    Journal articles

    Chapters

    Conference proceedings papers

    Preprints

    • Haywood-Alexander M, Dervilis N, Worden K, Mills RS, Ladpli P & Rogers TJ (2022) A Bayesian Method for Material Identification of Composite Plates via Dispersion Curves, arXiv. RIS download Bibtex download
    • Cross EJ, Gibson SJ, Jones MR, Pitchforth DJ, Zhang S & Rogers TJ (2022) Physics-informed machine learning for Structural Health Monitoring, arXiv. RIS download Bibtex download
    • Haywood-Alexander M, Dervilis N, Worden K, Dobie G & Rogers TJ (2022) Informative Bayesian Tools for Damage Localisation by Decomposition of Lamb Wave Signals, arXiv. RIS download Bibtex download
    • Bull LA, Gardner PA, Rogers TJ, Dervilis N, Cross EJ, Papatheou E, Maguire AE, Campos C & Worden K (2021) Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm, arXiv. RIS download Bibtex download
    • Pitchforth DJ, Rogers TJ, Tygesen UT & Cross EJ (2021) Grey-box models for wave loading prediction, arXiv. RIS download Bibtex download
    • Bull LA, Gardner P, Rogers TJ, Cross EJ, Dervilis N & Worden K (2021) Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data, arXiv. RIS download Bibtex download
    • Haywood-Alexander M, Dervilis N, Worden K, Cross EJ, Mills RS & Rogers TJ (2021) Structured Machine Learning Tools for Modelling Characteristics of Guided Waves, arXiv. RIS download Bibtex download
    • Haywood-Alexander M, Dervilis N, Worden K, Mills RS & Rogers TJ () A Bayesian Method for Material Identification of Composite Plates Via Dispersion Curves. RIS download Bibtex download