Development of A Marine Propulsion System for Shallow-water Icebreaker

Shallow Arctic waters present unique challenges for icebreaker design. A medium-to-large icebreaker intended for these environments will need to balance icebreaking capability with shallow-draft constraints, ensuring safe operation in shallow and deep waters. This project will address the key performance challenges in propulsion. The demand for the propulsion systems would be high in ice-covered shallow […]

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L2M – Innovative Strategy for Reducing Energy Consumption and Pollutant Emissions in Liquid Fuel Carrier Ships

This project will develop two integrated boil-off gas recovery and re-liquefaction systems for liquefied natural gas and liquefied hydrogen carriers that harness ship exhaust heat and convert it into usable energy through the Kalina power cycle and water-ammonia absorption refrigeration unit. Unlike conventional re-liquefaction systems that require burning additional fuel to produce cooling, the proposed […]

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L2M – Hydrogen Conversion Kits for Heavy-Duty Trucks

Alongside participation in the Lab2Market Validate program, where the intern will test commercial viability of their idea by speaking to potential customers, this Mitacs project consists of a market analysis that identifies ideal vending countries, investigates safety regulations, and estimates market size for the intern’s idea of a hydrogen conversion kit for heavy-duty trucks. The […]

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Turbulence-driven flow control for efficient passive and active battery cooling in electric vehicles

This project aims to develop advanced hybrid cooling strategies for electric vehicle (EV) battery systems by integrating turbulence-enhanced flow control with passive air and active liquid cooling methods. Using an unsteady Reynolds-averaged Navier-Stokes k-omega model, the research will investigate the role of turbulence in improving heat dissipation, temperature uniformity, and overall thermal performance. By combining […]

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Anisotropie de l’aluminium suivant les chemins de déformation et taux de recristallisation

Afin de contrôler les propriétés mécaniques des pièces en aluminium, il est nécessaire de mieux comprendre l’effet de la déformation et de la recristallisation dans le processus de fabrication. Le présent projet documentera l’anisotropie de l’aluminium suivant différents chemins de déformation et taux de recristallisation. Le stagiaire pourra ainsi être initié à différentes techniques de […]

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Caractérisation des déformations hétérogènes en compression : Analyse des simulations numériques

L’objectif du stage de recherche proposé est de poursuivre un travail de thèse portant sur la caractérisation des déformations d’un matériau testé en compression. Pour exploiter des essais de compression et en déduite les propriétés mécaniques d’un matériau, l’hypothèse de la déformation homogène du matériau est faite. Or, la déformation est hétérogène à cause de […]

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L2M QC Spring 2025 | Electric axles for semi-trailers

Greenhouse gas (GHG) emissions from road freight in Canada have doubled since 1990, now making up a third of transport-related emissions. However, fleet managers hesitate to switch to electric trucks due to high costs, technical limitations, and uncertain government subsidies. This project introduces a motorized electric axle that replaces a traditional axle on a semi-trailer. […]

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Caractérisation de l’anisotropie d’alliages d’aluminium

L’aluminium, utilisé dans les secteurs des transports pour ses caractéristiques de légèreté et de robustesse, se trouve souvent sous forme d’extrusions comme les poutres de châssis et de carrosserie. Toutefois, les propriétés des pièces extrudées varient fortement en fonction des conditions de fabrication, telles que la température et la vitesse de déformation, ce qui entraîne […]

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Data collection and cross-domain representation models for trajectory analysis

Due to the vast amount of available tracking sensors in recent years, high-frequency and high-volume streams of data are generated every day. Such tracking sensors include but are not limited to vessel, airplane or vehicle tracking data, drones, smartwatches and smart bands as well as cameras and earth observation sensors. Despite the overabundance of data […]

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Comprendre les accidents de la route : une modélisation micro

Ce projet de recherche, dirigé par une chercheuse en sciences économiques dans le cadre du programme Mitacs Globalink, vise à analyser les accidents de la route en Tunisie en utilisant des méthodes avancées d’analyse spatiale pour identifier les zones à haut risque, ou “zones noires”. Avec une base de données de 30 000 accidents couvrant […]

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L2M – Optimizing Energy Efficiency in Sea Transportation Using Machine Learning

Our project tackles the critical challenge of optimizing energy efficiency in electric boats, a vital issue in the growing market of sustainable marine transportation. The primary problem lies in the inefficient energy consumption of electric motors used in electric boats when navigating varying wave conditions, leading to reduced range and increased operational costs. This research […]

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