Characterization and optimisation of muscle oxygen extraction and performance in elite judo athletes

This project will investigate the determinants of performance in the sport of judo to optimize training and enhance performance development. Judokas must perform multiple high-intensity efforts that cause fatigue, and most of their training is devoted to mitigating the development of fatigue during matches. However, our knowledge of key metabolic responses and adaptations is still […]

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Development of an AI model to facilitate data extraction from forms

At Mely.ai, we are changing the supply chain and logistics landscape by providing AI-assisted tools to the industry. We want to give an unpreceded experience to our users with the latest technologies to serve their customer better. We analyze paper documents frequently used in the transport and logistics industry such as commercial invoices, packing lists […]

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Identification de méthodologies innovantes relatives à la prestation de services sportifs municipaux

Dans le contexte socioéconomique actuel, notamment marqué par une plus grande décentralisation des services municipaux et par les exigences relatives à l’efficacité et à l’efficience des ressources allouées, la livraison de ces mêmes services est un enjeu d’importance. Par ailleurs, la plus grande considération faite des parties prenantes dans l’élaboration et dans la reddition des […]

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Assessing the role of over-wintering marine sites in supporting declining Surf Scoters (Melanitta perspicillata) in the Salish Sea.

Many populations of marine birds in the Salish Sea are declining rapidly, yet the source of these declines remains unclear. This project focuses on assessing changes relative to historical surveys in diet, body condition, and prey availability of Surf Scoters in several nearshore marine areas. This study employs methods of DNA metabarcoding to assess diet […]

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Quantum data and machine learning for quantum chemistry

In this project, the university and industry researchers will work together to examine ways in which two new, powerful computing technologies, machine learning, and quantum computing, can be combined in order to improve our ability to understand and simulate molecules, chemistry and materials. One of the key challenges that limits improvements to today’s chemical simulation […]

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Using theoretical foundations to design and implement internationally transferred mitigation outcomes (ITMO) to offset domestic emissions in Canada’s LNG industry

The Paris Agreement of 2015 that went into effect in November 2016, outlines a framework for a new market mechanism, internationally transferred mitigation outcomes (ITMOs) as one of the initiatives to reduce carbon emission, that could incentivize countries to reduce their greenhouse gas (GHG) emissions. ITMOs enable countries to transfer emissions reduction credits between countries […]

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Seismic resilience of timber frames fitted with self-centering bracings

The seismic performance of structural systems has a significant impact on the level of safety of building infrastructure as they constitute a substantial portion of national wealth all across Canada. This study presents novel hybrid timber archetypes to overcome the drawbacks of their traditional frames. Accordingly, the timber braced frame will be equipped with various […]

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Élaboration, caractérisation et optimisation de bétons de chènevotte de chanvre et d’enduits chaux/chanvre pour le domaine du bâtiment

Les fibres naturelles (FN) sont utilisées comme granulat et comme renfort dans les bétons. Cependant, leur emploi présente plusieurs inconvénients : (1) variabilité des propriétés et variation de la qualité du béton, (2) lacunes des méthodes de mélange et (3) outils de prédiction des performances mécaniques inadéquates. Ce projet en partenariat avec l’entreprise DUCHANVRE comporte […]

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Intelligent Drowsiness Prognosis Using Chaos Theory

Drowsiness is considered the foremost cause of accidents in the mining industry. Studies estimate that up to 65% of annual accidents in mines are related to drowsiness. The total loss to the company’s assets is around $22.6 billion, and operator lives are not replaceable. The lack of real-time drowsiness monitoring and prognosis in the mining […]

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Optimisation d’une méthode de production verte de dihydrochalcones antibactériennes

L’émergence de mécanismes de résistance chez les bactéries limite l’efficacité des antibiotiques et menace notre capacité à traiter les maladies infectieuses. Par conséquent, le développement de nouveaux antibiotiques qui contournent les résistances des bactéries est devenu un enjeu majeur de santé publique pour lutter contre les infections bactériennes. Le présent projet de recherche vise à […]

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