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 […]

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 […]

This project explores how the sustainability efforts of select Atlantic Canadian businesses are enhancing their competitiveness and profitability, as well as positively affecting the communities and systems they operate within. We will develop 10-12 mini case studies, highlighting how organizations’ actions have strengthened their business model and competitive advantage while simultaneously creating social and/or environmental […]

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 […]

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 […]

This project aims to investigate the pharmacology of norbaeocystin, baeocystin, norpsilocin, and aeruginascin – four compounds found in psychedelic mushrooms. The research will examine how these compounds interact with specific brain receptors – the 5HT-1A, sigma-1 and a-adrenergic receptors – that may contribute to the therapeutic effects. These compounds may have potential for the treatment […]

Ce projet de recherche vise à mieux comprendre une maladie rénale fréquente chez les enfants, appelée syndrome néphrotique idiopathique (SNI). Cette maladie peut prendre deux formes principales, dont l’une (la HSF) est plus grave et répond mal aux traitements habituels. Aujourd’hui, il est très difficile de distinguer ces deux formes dès le début de la […]

Mixed methods research—combining quantitative and qualitative approaches—has become increasingly important in psychology and the social sciences for addressing complex, real-world questions. However, there is no shared standard for defining and evaluating rigor across mixed methods studies. This project tackles that gap by conducting a Delphi study, an iterative method of gathering expert feedback to build […]

Efficient real-time scheduling of bus operations remains a critical challenge in urban transit systems, particularly under uncertain traffic conditions and high passenger demand variability. Our existing Double Deep Q-Network (Double DQN) implementation has demonstrated promising results in learning optimal holding and stop-skipping policies for bus operations. However, as urban networks grow in complexity and require […]