As a researcher in Artificial Intelligence and Machine Learning, my long-term goal is to apply effective, robust, and interpretable machine learning methods to characterise, image and inversion of complex structures such as carbon fibre composites. I hope to develop physics-informed machine learning tools. My research focuses on developing AI and ML tools for various instruments, including eddy current testing, thermography and ultrasound. My developed AI tools include clustering, matrix factorisation, supervised learning, support vector machines, and deep learning networks for advancing defect detection techniques.

• Please visit the Pure Research Information Portal for further information
• Directional eddy current probe configuration for in-line detection of out-of-plane wrinkles, Mussatayev, M., Yi, Q., Fitzgerald, M., Maes, V., Wilcox, P., Hughes, R. 1 Jan 2024, In: Composites Part B: Engineering

Electrical and Electronic Engineering PhD April 06 2021

• Please visit the Pure Research Information Portal for further information
• google scholar