Amine is currently conducting a joint PhD at the Queensland University of Technology (QUT) and the University of Paris-Est Créteil (UPEC). Amine graduated as the top student with an Engineering degree in Artificial Intelligence and Data Science, receiving the highest honours from The National Higher School of Arts and Crafts Meknès. His PhD research focuses on developing artificial intelligence methods for medical imaging. Specifically, Amine is creating a deep learning-based pipeline for the segmentation, registration, and analysis of high-resolution bone imaging. His work aims to automate bone assessment for biomechanical research and clinical orthopaedic practices, bridging the gap between artificial intelligence and practical biomedical applications. Amine’s passion for integrating AI into healthcare solutions drives his innovative work, contributing to the computer vision field applied to biomechanics, and aiming to improve humans’ understanding of bone remodelling.
Thesis title
Development of a Deep Learning-Based Automated Segmentation, Registration, and Analysis Tool for Bone Remodelling and Adaptation Assessment