Dr Sergio Cantero Chinchilla
MSc/BSc, MSc, PhD
Expertise
Current positions
Contact
Press and media
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Projects and supervisions
Research projects
EPSRC Impact Acceleration Account (IAA) - Improving soil characterisation through acoustic emission and machine learning
Principal Investigator
Description
The project aims to explore a novel machine learning (ML) based technology capable of processing soil-emitted acoustic signals and enhance the accuracy in characterising geomaterials’ mechanical properties.Managing organisational unit
School of Civil, Aerospace and Design EngineeringDates
03/06/2024 to 29/11/2024
Publications
Recent publications
15/06/2024Deep learning uncertainty quantification for ultrasonic damage identification in composite structures
Composite Structures
Optimising laser-induced phased-arrays for defect detection in continuous inspections
NDT & E International
A data-driven approach to suppress artefacts using PCA and autoencoders
NDT & E International
Convolutional neural networks for ultrasound corrosion profile time series regression
NDT and E International
Damage detection, quantification, and localization for resonant metamaterials using physics-based and data-driven methods
STRUCTURAL HEALTH MONITORING
