Parkinson’s disease (PD) is a devastating brain disorder accompained by the death of dopamine-producing neurons. Aging is the main risk factor for PD, but early-onset forms also exist and are often linked to mutations in PRKN gene, which encodes for a cellular protein called Parkin. Evidence suggests that these mutations may perturb dopamine neuron function […]

Measurement of magnetic field vector by a compact diamond quantum sensor Measuring magnetic field is important for material and device characterization. Although various methods have been developed, challenges persist in accurately measuring local magnetic field vectors. Our lab has been developing a compact diamond quantum sensor to overcome the challenge. The diamond sensor uses nitrogen […]

This project aims to create a training system for laparoscopic procedures focused on gynecological surgeries using a 3D-printed torso phantom. The mannequin features apertures for inserting laparoscopic tools (trocars) and a camera, with visible 3D-printed organs inside. The goal is to develop a training module that integrates virtual anatomical models with real-world views using HoloLens […]

This research explores the integration of quantum computing with statistical methods to enhance public transit origin–destination (OD) matrix estimation. Traditional OD estimation relies on automated fare collection (AFC) and automatic passenger counting (APC) data, which often present challenges due to incomplete coverage. Scaling techniques like iterative proportional fitting (IPF) help address these gaps, but their […]

Sport Product Testing offers a comprehensive of testing and validation services for companies health and wellness industry. The internship project is aimed at improving the visibility and reach of Sport Product Testing to small and medium enterprises. To address this, SPT is looking to bring on a master’s in biomedical technology student to help enhance […]

In many applications, Machine Learning (ML) predictions are used to make downstream decisions. Acting on ML predictions however can change the distribution of features that the ML model relies on for predictions. The implication is that such downstream decisions procedures implicitly expect the ML model to generalize outside of the observational distribution. Unfortunately, this is […]

Le projet de recherche proposé par la stagiaire vise à utiliser l’intelligence artificielle (IA) pour améliorer l’apprentissage des sciences physiques au niveau secondaire. En intégrant des outils d’IA comme des simulateurs interactifs et des plateformes d’apprentissage adaptatif, le projet cherche à rendre l’enseignement des concepts scientifiques plus compréhensible et engageant. Les avantages escomptés incluent une […]

Le lithium fait partie des minéraux critiques (MC) identifiés par le Canada. De nombreux gîtes lithinifères ont été répertoriés au Québec, plus particulièrement dans les derniers 10 ans dans la région d’Eeyou – Istchee – Baie James qui est entrain de devenir un secteur de lithium de classe mondiale. Tous les gîtes du Québec sont […]

Nearly all contraceptive services in Tanzania are free of charge. However, many adolescent girls do not seek contraception through community clinics for various reasons, including the stigma and perceived promiscuity associated with young girls who access contraception. In turn, adolescent sexual and contraceptive stigma contributes to reduced reproductive autonomy and a lack of women’s sexual […]

It has been demonstrated that hypertension, type II diabetes, obesity, high cholesterol, and smoking are vascular risk factors that increase the chances of experiencing accelerated cognitive decline or developing dementia. Some studies have found that these vascular risk factors affect women’s cognition more severely than men’s. However, the reasons behind these observations remain to be […]

Quantum computing holds great promise in solving some problems that are intractable to its classical counterpart; however, current quantum devices are prone to errors, especially as they scale up. Our project focuses on developing efficient tools to detect and analyze these errors; we will construct an error map that characterizes where the different errors occur […]

Patients with chronic obstructive pulmonary disease (COPD) often experience adverse health outcomes including COPD exacerbations and cardiovascular events. These events impose a significant economic burden on the healthcare system and lead to impairment of patients’ wellbeing. This project aims to develop a clinical prediction model (CPM) to predict the risk of COPD exacerbations and cardiovascular […]