
Professor Paul Wilcox
M.Eng.(Oxon.), Ph.D.(Lond.), D.I.C.
Current positions
Professor of Dynamics
Department of Mechanical Engineering
Contact
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Biography
Paul Wilcox received an MEng degree in Engineering Science from the University of Oxford in 1994 and a PhD from Imperial College London in 1998. He remained in the Non-Destructive Testing (NDT) research group at Imperial College as a Research Associate until 2002, working on the development of guided wave array transducers for large area inspection.
Since 2002 Prof. Wilcox has been with the Department of Mechanical Engineering at the University of Bristol where his current title is Professor of Dynamics. He held an EPSRC Advanced Research Fellowship in Quantitative Structural Health Monitoring from 2007 to 2012 and was Head of the Mechanical Engineering Department from 2015 to 2018. He has been a Fellow of the Alan Turing Institute for Data Science since 2018 and is currently the Academic Director of the UK Research Centre for NDE (RCNDE). In 2015 he was a co-founder of Inductosense Ltd., a spin-out company which is commercialising inductively-coupled embedded ultrasonic sensors.
Since 2002 Prof. Wilcox has been with the Department of Mechanical Engineering at the University of Bristol where his current title is Professor of Dynamics. He held an EPSRC Advanced Research Fellowship in Quantitative Structural Health Monitoring from 2007 to 2012 and was Head of the Mechanical Engineering Department from 2015 to 2018. He has been a Fellow of the Alan Turing Institute for Data Science since 2018 and is currently the Academic Director of the UK Research Centre for NDE (RCNDE). In 2015 he was a co-founder of Inductosense Ltd., a spin-out company which is commercialising inductively-coupled embedded ultrasonic sensors.
Projects and supervisions
Research projects
Authentic high-speed virtual ultrasonic data for inspection qualification
Principal Investigator
Managing organisational unit
Department of Mechanical EngineeringDates
01/04/2023 to 31/03/2026
Adaptive Laser Induced Phased Arrays
Principal Investigator
Managing organisational unit
Department of Mechanical EngineeringDates
29/11/2021 to 28/11/2024
Improving Inspection Reliability through Data Fusion of Multi-View Array Data
Principal Investigator
Managing organisational unit
Department of Mechanical EngineeringDates
01/05/2016 to 30/04/2019
Enhanced Ultrasonic 3D Characterisation of Composites Using Full Matrix Capture of Array Data
Principal Investigator
Managing organisational unit
Department of Mechanical EngineeringDates
09/03/2010 to 09/03/2013
Thesis supervisions
Model updating using limited experimental data for the quantification of ultrasonic array inspection.
Supervisors
Improving the Imaging Performance of Novel Ultrasonic Arrays
Supervisors
Imaging and defect characterisation using multi-view ultrasonic data in nondestructive evaluation
Supervisors
A General Approach To Model Assisted Qualication of Non-Destructive Inspections
Supervisors
A modelling approach to design of ultrasonic tweezers devices
Supervisors
Advanced Ultrasonic Array Processing for Pipeline Inline Inspection
Supervisors
Structural health monitoring for marine applications using adhesively bonded piezoelectric transducers
Supervisors
Volumetric Imaging Using 2D Phased Arrays
Supervisors
Application of machine learning to ultrasonic nondestructive evaluation
Supervisors
Publications
Recent publications
01/01/2023Convolutional neural networks for ultrasound corrosion profile time series regression
NDT and E International
Interpretable and Explainable Machine Learning for Ultrasonic Defect Sizing
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Modelling and evaluation of carbon fibre composite structures using high-frequency eddy current imaging
Composites Part B: Engineering
Radial position independent directivity for laser generated ultrasonic shear waves in thermoelastic regime
A deep learning based methodology for artefact identification and suppression with application to ultrasonic images
NDT and E International