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 […]

Ce projet vise à évaluer la performance de l’ADN environnemental comme technique de détection des sites de fraie de l’éperlan arc-en-ciel et de gaspareau dans les rivières côtières du Nouveau-Brunswick à partir d’un large échantillonnage réalisé par notre partenaire (Vision H2O) dans les dernières années. Ces informations représentant une information critique dans la gestion de […]

Rolling bearings are essential components in rotating machinery. The growing demand for real-time condition monitoring has led to the development of smart bearings integrated with advanced sensors. However, conventional sensing technologies often suffer from limited sensitivity, a lack of temperature compensation, and installation difficulties. Fiber Bragg Grating (FBG) sensors offer a promising alternative, featuring high […]

This project will create an AI-based tool that helps engineers detect hidden damage inside concrete structures—like bridges or buildings—using special thermal images. Right now, most damage is only found when it’s already serious, which can be costly and dangerous. This new tool uses heat patterns to find early signs of damage, making inspections faster, safer, […]

(1) Notre partenaire principal, Laura Lémerveil croit qu’il est possible que tous les jeunes s’accomplissent pleinement malgré le handicap ou les conditions de santé. Guide´ par cette mission, Laura Le´merveil exploite de´jà le potentiel de l’art et notamment la musique au sein de son offre de services. (2) Ce projet émane de la volonté de […]

This study investigates the feasibility of reducing metallurgical slag to obtain reactive oxides which, when combined with hydroxyapatite, can form a thermophosphate of high agronomic value. Metallurgical slag is an industrial waste product rich in calcium, iron, and silica, which can be reused in fertilizers. Hydroxyapatite, on the other hand, is a stable source of […]

Massive cyanobacterial blooms have been observed in several provinces of Canada including Nova Scotia and New Brunswick over the past few decades which is a significant environmental and public health concern. These blooms are a serious threat to human lives and the environment as the cyanotoxin released are deleterious for the human life and the […]

Gigsup, a career matching service, plans to improve how job opportunities are suggested using artificial intelligence. The project will be carried out by interns who will work on a new system that uses up-to-date job market data. This system will compare a person’s skills, work style, and values with current job openings to offer better […]