Sergio Cantero Chinchilla

University of Bristol

United Kingdom

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Articles (15)

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2025

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2024

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2024

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2024

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2024

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2022

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2022

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2022

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2022

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2021

Collaborators (11)

Masoud Haghbin

Universidad de Granada

SPAIN

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Paul Wilcox

Professor of Dynamics

University of Bristol

UNITED KINGDOM

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Manuel Chiachio Ruano

Associate Professor

Universidad de Granada

SPAIN

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JUAN CHIACHIO-RUANO

Associate Professor

Universidad de Granada

SPAIN

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Rasa Remenyte-Prescott

Assistant Professor

University of Nottingham

UNITED KINGDOM

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Anthony J. Croxford

University of Bristol

UNITED KINGDOM

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Fengyuan Liu

University of Bristol

UNITED KINGDOM

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Dimitrios Chronopoulos

Professor at KU Leuven

KU Leuven

BELGIUM

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Darren Prescott

Assistant Professor in Risk and Reliability Engineering

University of Nottingham

UNITED KINGDOM

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Gregor Tanner

Professor of Applied Mathematics

University of Nottingham

UNITED KINGDOM

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Adolfo Crespo Márquez

Professor

Universidad de Sevilla

SPAIN

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Sergio Cantero Chinchilla

Research Interests

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Articles (15)

Investigation of the Effects of 3D Printing Parameters on the Mechanical Properties of Bone Scaffolds: Experimental Study Integrated with Artificial Neural Networks

A general approach to assessing SHM reliability considering sensor failures based on information theory

Predicting Rail Corrugation Based on Convolutional Neural Networks Using Vehicle’s Acceleration Measurements

Deep learning uncertainty quantification for ultrasonic damage identification in composite structures

Optimising laser-induced phased-arrays for defect detection in continuous inspections

Damage Quantification and Identification in Structural Joints through Ultrasonic Guided Wave-Based Features and an Inverse Bayesian Scheme

A data-driven approach to suppress artefacts using PCA and autoencoders

Damage detection, quantification, and localization for resonant metamaterials using physics-based and data-driven methods

Convolutional neural networks for ultrasound corrosion profile time series regression

Robust optimal sensor configuration using the value of information

Deep learning in automated ultrasonic NDE – Developments, axioms and opportunities

Guided waves-based damage identification in plates through an inverse Bayesian process

Robust optimised design of 3D printed elastic metastructures: A trade-off between complexity and vibration attenuation

A deep learning based methodology for artefact identification and suppression with application to ultrasonic images

Bayesian damage localization and identification based on a transient wave propagation model for composite beam structures

Collaborators (11)

Masoud Haghbin

Paul Wilcox

Manuel Chiachio Ruano

JUAN CHIACHIO-RUANO

Rasa Remenyte-Prescott

Anthony J. Croxford

Fengyuan Liu

Dimitrios Chronopoulos

Darren Prescott

Gregor Tanner

Adolfo Crespo Márquez

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