
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
01/01/2024Uncertainty quantification of damage localization based on a probabilistic convolutional neural network
12th International Conference on Structural Dynamics, EURODYN 2023
A general approach to assessing SHM reliability considering sensor failures based on information theory
Reliability Engineering and System Safety
Deep 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
Predicting Rail Corrugation Based on Convolutional Neural Networks Using Vehicle’s Acceleration Measurements
Sensors