The ongoing illicit drug poisoning crisis in Canada has resulted in over 40,000 deaths since 2016, with British Columbia being the province hardest hit. The crisis is largely driven by the presence of potent fentanyl analogues in unregulated drugs, leading to this significant rise in overdose deaths. In contrast, Europe, including France, has not experienced […]

Cardiac arrhythmia is an electrical disturbance in the heart which can cause a variety of potentially life threatening conditions. Arrhythmias are due to malfunctions in the protein channels, which in turn alter the bioelectric currents signaling each heartbeat. A key channel responsible for terminating the electrical signal is the voltage gated potassium channel, IKs. During […]

In recent years, lignin valorization has gained increasing attention in both academic and industrial sectors, hoping to achieve salient breakthroughs in lignin metabolism. Many studies have pointed to a promising approach using microorganisms particularly bacteria for lignin valorization through a bio-funneling approach, converting it into products of biotechnological interests. Thus, this project aims to contribute […]

During this research I will contribute to our growing understanding of dark matter and dark energy by applying and extending the theoretical framework of simulation and modeling of how dark matter couples via gravity to induce measureable peculiar velocities. As a result of this work Dr. Lavaux and I hope to produce a large set […]

The OER is a key reaction in water splitting, crucial for green hydrogen production. Currently, precious-metal catalysts like IrO2 and RuO2 are effective but prohibitively expensive and rare, limiting their application. Iron-based electrocatalysts, given their abundance and favorable catalytic properties, offer a promising alternative but require further optimization to achieve performance levels competitive with state-of-the-art […]

Spintronic materials have the potential to improve the density of computer memory and the speed of computer chips. The key feature of spintronic materials is that electronic changes (e.g., electron addition to a molecule) are coupled to changes in magnetic properties. We are particularly interested in transition-metal compounds that undergo redox-induced electron transfer (RIET) because […]

Le projet de recherche porte sur l’usage des arguments scientifiques pour consolider, orienter ou faire autorité dans le droit international de l’agro-biodiversité (principalement le Traité international sur les ressources phytogénétiques pour l’alimentation et l’agriculture – TIRPAA) dans le contexte de la dématérialisation des ressources génétiques. Tandis que plusieurs instruments internationaux régissent l’Accès et le Partage […]

A quantum spin liquid (QSL) is a type of magnetic material in which the spins of the electrons are highly quantum entangled. This phase of matter has particularly exotic quasi-particles – ways of increasing the energy of the system that resemble quantum particles, but also have novel properties as compared to those we are accustomed […]

This research project will contribute to the preservation of the existing building stock and mitigate potential seismic risks by developing simplified numerical models to contribute to the seismic assessment of local unreinforced masonry (URM) buildings. Old URM structures are a prominent building type across Eastern Canada, contributing to the rich architectural heritage and cultural fabric […]

Seaweeds and seaweed products have been promoted in agriculture as source of nutrients and activators, to improve plant growth, plant productivity and food production. A wide range of beneficial effects have been observed, including seed germination, enhanced growth and crop yield, elevated resistance to biotic and abiotic stress. However, the bioactive compounds have not been […]

The Integrated Digital Communications Strategy & Implementation project aims to enhance and improve Tutor Teach’s current digital marketing and social media presence by developing and testing a comprehensive, data-driven strategy. Through research and innovative approaches, the intern will focus on audience segmentation, platform-specific content creation, and targeted digital advertising campaigns. This project will address Tutor […]

This project aims to enhance malware detection capabilities through the use of quantum neural networks (QNNs) and quantum machine learning (QML), leveraging quantum computing principles for superior performance compared to classical neural networks. As cyber threats become increasingly sophisticated, QNNs and QML present promising opportunities for breakthroughs in identifying and analyzing malicious activities. We will […]