This project focuses on improving early support for Aboriginal and Torres Strait Islander infants in Australia who are at risk of neurodevelopmental disorders like cerebral palsy. The LEAP-CP program was co-designed with First Nations communities to offer culturally safe, family-centered care through early screening and peer-led interventions. The intern will help gather insights from trained […]

The study of complex systems using networks has become a central theme across disciplines, from social sciences and economics to biology and information systems. Graph theory, which models entities as nodes and their pairwise relations as edges, has provided a powerful framework for analyzing such systems. Graph-based methods have enabled advances in tasks such as […]

Ce projet de recherche vise à améliorer le traitement des données 3D produites par des capteurs comme le Lidar, utilisés pour cartographier des environnements en haute précision. Ces capteurs génèrent des milliards de points, appelés nuages de points, qui sont aujourd’hui difficiles à analyser rapidement et efficacement. L’objectif est de développer des outils capables de […]

Petroleum-based plastics are recalcitrant and pervasive environmental contaminants. Recycling only recovers 9% of post-consumer plastic, the rest is landfilled, incinerated, or discharged into the environment. While most plastic recycling methods convert plastic into lower value products, biocatalytic plastic depolymerization to component monomers then available for resynthesis of valuable products is an attractive alternative. Biocatalyst-based recycling […]

This project investigates existing and potentially new approaches to analyze functional brain structures in individuals with post-traumatic stress disorder (PTSD), using advanced neuroimaging such as fMRI, and machine learning. The goal is to identifying patterns built on dependent features within the images representing the connectivity matrices of brain regions. The project will investigate whether causal […]

Après la naissance d’un grand prématuré, le développement de son cerveau se poursuit à l’intérieur de l’incubateur. Favoriser ce développement de façon optimale est une priorité des soins, en particulier pour les infirmières néonatales. L’une des stratégies pour y parvenir est de promouvoir un sommeil de qualité, avec le moins d’éveils possible. Le sommeil est […]

Prostate cancer is the most common male cancer in Canada. While many patients live long lives with treatment, some develop incurable disease that spreads to the bones. When this happens, survival drops sharply and patients often face severe pain, broken bones, and serious complications such as spinal cord damage. Bone changes caused by prostate cancer […]

L’enjeu de cette recherche est double : approfondir la compréhension scientifique des mortiers intégrant des sables recyclés et identifier les conditions (type et dosage d’adjuvants) permettant d’obtenir des performances comparables aux mortiers traditionnels. Le manque actuel de connaissances, combiné à la sévérité des normes en vigueur, freine encore la commercialisation de tels matériaux. Une des […]

This project aims to develop sustainable precursors for carbon fibers by combining polyacrylonitrile (PAN), the main industrial raw material, with natural tannin derivatives. Fibers will be produced using solution blow spinning (SBS), a simple and scalable technique compared to electrospinning. Tannins, renewable plant-based polyphenols, can improve fiber stability and performance while reducing reliance on fossil-derived […]

This project aims to create new types of hydrovoltaic generators, which are devices that produce electricity from small amounts of moisture in the air or water. While these generators are promising for clean energy and water treatment, current versions are not durable enough and cannot adapt well to changing environments. By combining my expertise in […]

Physics-Informed Neural Networks (PINNs) have emerged as a powerful tool for solving PDEs, fractional equations, and eigenvalue problems, making them particularly suited for quantum mechanics, where traditional numerical methods often face computational bottlenecks. The aim of this internship is to analyse the applicability of PINNs to a broad range of quantum simulation tasks such as […]

This research project explores how agentic AI—autonomous AI agents with the ability to perceive, reason, and act—can be designed and deployed within recommendation systems to proactively identify and counteract shilling attacks. These attacks involve malicious users injecting fake reviews or ratings to manipulate recommendations. The project aims to develop an adaptive, multi-agent, Agentic AI-driven model […]