Cross-Domain Recommender Systems with Limited Human Annotated Data

Recommender systems are artificial intelligences that, as their name would suggest, make recommendations based on provided inputs. For example, recommending jobs a person can apply to based on their resumes. Existing research on recommender systems in the Job and Education domains have focused on a single domain. Our research focuses on bridging the gap between […]

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Hydrogen Embrittlement Susceptibility of Bainitic versus Martensitic High Strength Steels

The objective of this investigation is to systematically quantify and compare the hydrogen embrittlement susceptibility of austempered (bainitic) steels to that of standard quenched and tempered (martensitic) steels used for manufacturing high strength mechanical fasteners. It has been shown that correctly high strength bainitic steels exhibit measurably superior ductility and toughness as compared to martensitic […]

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Physics-informed Neural Networks for Time-Dependent Transport Equations

Companies can realize the cost-saving benefits of having access to large amounts of data provided they have digital tools that allow efficient and accurate extraction of information from the dataset. The goal of this project is to conduct the research required for machine learning algorithms to provide reliable engineering predictions for industrial applications. To achieve […]

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Development of advanced absorber/emitter for wireless power transfer thermophotovoltaic systems

The demand for wireless power transmission is growing due to the increasing costs of transporting conventional fuels for satellites, drones, and aerospace systems. A promising solution lies in Thermophotovoltaic (TPV) technology, with an impressive system efficiency of around 50%, converting heat from any high-temperature sources into electric power. TPV systems, which are lightweight and have […]

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Enhancing EEG Data Analysis and Brain Health monitoring through Self-Supervised Learning and Corticothalamic Modeling

Sleep is a central function of many species, and is studied widely in neurophysiology and computational neuroscience, yet its underlying mechanisms remain elusive. The common method for recording brain activity during sleep is polysomnography (PSG) which is expensive to operate and can prove to be heavy and bothersome for the recording subjects. In recent years, […]

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Diagnostic du cycle de l’eau et sources de contamination en contexte de forçage anthropique extrême : cas du ruisseau Rousse, Québec

Les ressources en eau subissent des pressions croissantes mondialement en raison du changement climatique, de l’agriculture intensive et de la croissance démographique. D’ici 2050, la majorité des bassins versants pourraient être en situation critique et il devient crucial de développer des outils pour en faire le diagnostic. Dans les Basses-Laurentides, le bassin du Ruisseau Rousse […]

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AI-Driven Carotid Ultrasound Advancements: Redefining Stroke Risk Assessment in 3D

Stroke, a leading global cause of death and disability, often results from the rupture of dangerous fatty deposits, known as plaques, in the neck arteries. The current method of assessing stroke risk using 2D ultrasound is limited by operator dependency and lacks a 3D structure assessment, leading to misdiagnoses and re-scans. Our project aims to […]

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Optimiser le spectre lumineux afin de favoriser le contrôle biologique dans les productions végétales en milieu contrôlé

L’alimentation durable est une composante essentielle de l’économie visant à un développement apte à répondre aux besoins du présent, sans compromettre la capacité des générations futures à répondre aux leurs. Pour ce faire, l’alimentation durable préconise la consommation de produits locaux et, en ce qui concerne les produits maraîchers, cultivés dans le respect de l’environnement. […]

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Évaluation d’impact des programmes d’accompagnement des entrepreneurs collectifs : Cas du programme SISMIC

Au Québec, l’entrepreneuriat collectif compte 11200 entreprises collectives avec un chiffre d’affaires cumulé de 47,8 milliards de dollars et emploie près de 220.000 personnes (Institut de la statistique du Québec, 2019). Le Chantier de l’économie sociale a lancé différents programmes de soutien aux entrepreneurs collectifs. Dans ce sillage, le présent projet de recherche vise à […]

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Additively manufacturing SMR used fuel cladding – simulation of material radiation damage for leak testing

Due to chemical reactivity of components in new small modular reactor (SMR) fuel types, e.g., sodium, the federal nuclear regulator has identified spent SMR fuel as an R&D priority area. With multiple sodium fast reactors, including TerraPower’s Natrium reactor, and ARC Clean Technology Canada’s (ARC) ARC-100 reactor, planned for deployment in Canada within the next […]

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Stratégies de propriété intellectuelle pour startups canadiennes en medtech

Premièrement, le Canada est un cancre dans le financement de la recherche et de l’innovation. Le pays est à la traîne de tous ses pairs. Deuxièmement, lorsque le Canada innove, la propriété intellectuelle résultante disparait disproportionnellement à l’étranger. La recherche est donc financée par les contribuables, mais finit par subventionner indirectement les profits d’entreprises étrangères. […]

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