Cartographie et classification du terrain à potentiel avalancheux au Nunavik (nord du Québec)

Les aléas naturels et les risques associés deviennent plus fréquents dans les régions arctiques et subarctiques du Canada, incluant le Nunavik. Ils peuvent avoir des impacts dévastateurs sur la sécurité, le bien-être, l’économie de subsistance, les activités et l’identité culturelle des communautés inuites. La nature et l’ampleur des événements varient selon les paramètres environnementaux et […]

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Développement d’un cadre d’évaluation des pôles de mobilité durable à Montréal

D’ici 2050, l’Agence de mobilité durable (l’Agence) projette de déployer 150 pôles de mobilité, en vue de promouvoir et fournir une diversité de transports alternatifs durables, améliorer l’efficacité des déplacements urbains et accroître la qualité de vie dans les quartiers. Le premier pôle de mobilité a été inauguré en 2024. Dans ce contexte, des outils […]

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3D printed concrete construction

This project will contribute to developing design guidelines for steel-reinforced 3D printed concrete structural members. 3D printing is a novel construction method that is being developed around the world. It has the potential to revolutionize construction practices, because it is an automated process that requires less heavy labor compared to regular construction practices. The material […]

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The Effects of Active Road Signs on Road Safety and Driving Behavior

This project seeks to evaluate the benefits of deploying active road signs on road safety and driving behavior. Different types of iluminated and traffic responsive traffic signs will be considered, under urban and rural setting. Two case studies will be analyzed for this purpose. The company expects to identify demonstrate that their products are beneficial […]

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Benchmarking fundamental components of quantum machine learning on full-stack photonic quantum computers

Architectures for quantum computing can only scale effectively with suitable benchmarking techniques. Benchmarking is essential for evaluating the performance of quantum computers, including their algorithms and applications. This principle extends to quantum machine learning techniques, where benchmarking basic quantum machine learning methods on full-stack photonic NISQ devices is crucial. A key challenge involves adapting quantum […]

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Automated optimization of robotic tasks and transitions using graph-based approaches

In recent years, machining with robots has become a trend in the manufacturing industry. The concept offers an economical solution for medium to low accuracy machining applications. However, due to the complexity of the robot kinematics, planning for these paths is challenging. Jabez Technologies has developed a semi-graphical approach that can program large robot-paths. This […]

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Caractérisation de l’état de santé de Homarus americanus dans les conditions environnementales de Gros-Cacouna

Le projet vise à explorer la viabilité de la conservation de homards en mer. Le projet aurait lieu dans les installations de la Première Nation Wolastoqiyik Wahsipekuk au quai de Gros-Cacouna dans le territoire ancestral Wolastoqey. Le port de Gros-Cacouna est à la limite de l’habitat du homard. L’environnement, et plus précisément la qualité de […]

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Investigating the empowerment of teachers and studentsat Northern Canadian schools throughtelecommunication technology

The proposed research project investigates how the Telepresence technology (Connected North) has an impact on Northern students’ and teachers’ educational experience. Our goal is to assess the impact of its implementation within three contexts: connecting students to students, connecting students to experts, and connecting teachers to teachers. To this end, we will administer questionnaires to […]

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Geotab Ace: Enhancing Fleet Intelligence with Retrieval-Augmented Generative AI for Natural Language Data Interaction

Geotab is a global leader in IoT and connected transportation, providing data-driven insights for fleet management. Collecting over 4 billion data points daily from 4.5 million connected vehicles, Geotab’s AI Platform team focuses on leveraging machine learning to enhance data accessibility, fleet intelligence, and operational efficiency. A key challenge is improving user interaction with complex […]

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Confection des horaires des pilotes du St-Laurent central

Le projet consiste à développer une méthodologie novatrice, de type heuristique, de construction d’horaires annuels des pilotes de la Corporation des Pilotes du St-Laurent central. L’algorithme de construction d’horaires doit tenir compte de plusieurs contraintes tant au sein de la Corporation des Pilotes du Saint-Laurent central que celles imposées par l’Administration de Pilotage des Laurentides […]

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Non-invasive assessment of early molecular response and detection of minimal residual disease in diffuse large B-cell lymphoma (DLBCL) using cell-free methylomes

Research at the Lymphoma Lab is driven by the observation that the outcomes of lymphoma are extremely variable with some patients seem cured or enjoying long remissions while others experience relapse. Treatments that directly target the underlying therapeutic vulnerabilities of a patient’s lymphoma remain unavailable [1]. Lymphoma Lab wants to change this. A comprehensive understanding […]

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