Étude de scalabilité de l’Optimisation Bayésienne pour systèmes de neurostimulations embarqués

L’un des défis les plus actuels des agents d’apprentissages autonomes (ou I.A.) appliqués aux outils médicaux est la capacité de les appliquer pour des systèmes embarqués sur appareils de petite taille, portables ou même directement embarqués dans le corps humain. En interface neuronales, le développement de compagnies comme Neuralink consiste principalement dans la miniaturisation de […]

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Utilisation de l’apprentissage machine dans les pompes à chaleur à hautes températures pour la prévision et l’optimisation des coûts énergétiques, de la performance et de l’efficacité exergétique

Les pompes à chaleur à haute température (PACHT) peuvent répondre à la demande thermique de diverses applications. Elles peuvent être utilisées pour des applications résidentielles, commerciales et industrielles et fournir à la fois le chauffage et l’eau chaude. Selon le site officiel du gouvernement du Canada, les thermopompes sont une technologie éprouvée et fiable au […]

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Wi-Fi Blocking Wallpaper Testing and Characterization

This project seeks to develop a wallpaper that blocks Wi-Fi signals for shielding rooms and buildings. A thin layer of conductive ink is printed onto the wallpaper using a repeated pattern that is designed to reflect signals from the two Wi-Fi frequency bands. The pattern has been designed by the applicant in partnership with G […]

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Integrating Lean in SOPs to obtain continuous improvements in building construction

Building construction sector plays important roles in Canadian economy, which also has high demand. Studies in this field can make substantial contributions to the society. This study is proposed to explore the usage of a standard documentation, Standard Operating Procedures (SOPs) that are a set of detailed and concise written instructions that describe the sequential […]

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High-Performance Ethylene Production via Electrochemical CO2 Reduction Using Cu Diatomic Catalysts

As atmospheric CO2 levels rapidly increase due to industrialization, electrocatalytic reduction technology using renewable energy to convert CO2 (CO2RR) into valuable multi-carbon products such as ethylene, ethanol, and propanol is in the spotlight. Copper is the only metal that can form these C2+ products due to its unique properties. Despite many studies, morphological and chemical […]

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Caractérisation mécanique et hygrothermique des blocs de terre comprimés à base du sol de termitière et d’un matériau biosourcé

Ce travail porte sur la formulation et l’étude du comportement hygrothermique de blocs de terre comprimée (BTC) stabilisés et améliorés par l’ajout d’un liant organique à base d’amidon, à des sols disponibles localement. Le but ultime est de diminuer les coûts et l’impact carbone des constructions. Les premiers résultats obtenus concernent la caractérisation physique, mais […]

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Nanostructured Blends of Organic Semiconductors

Organic semiconductors have driven the development of next generation technologies such as printable solar cells, flexible displays, and wearable electronics. Such devices are based on thin films of organic semiconductors, often blended with other semiconductors or nanomaterials. The structure and morphology of a thin film plays a crucial role in the performance and efficiency of […]

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Integrating Diverse Sampling Sources for Enhanced Discrete Fracture Network Modeling of Open Pit Mine Slopes

This research project consists of the application of Discrete Fracture Network (DFN) modeling techniques to model the geological fractures within rock formations, with a specific focus on open pit mines. The central challenge lies in accurately representing the spatial distribution of fractures in rock masses. To overcome this challenge, advanced statistical methods and computational simulations […]

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A behavioural planning capability for autonomous aircraft

The objective is to expand on current collision avoidance path planning frameworks in a two-fold manner, improving prediction as well as decision-making components. The first task is to improve prediction models and generate maneuver bands for air traffic circuit navigation. The second task is to then improve the decision-making framework to select the pseudo-optimal maneuver, […]

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Design optimization of modular panel bridge

4.0. The modular panel bridge is a prefabricated truss bridge. Modular panel bridges have been widely adopted in civil engineering and transportation infrastructure projects worldwide due to their versatility, ease of assembly, and cost-effectiveness, which render it suitable for the construction of both permanent and temporary bridges. The research approach adopted in this project integrates […]

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Gender differences in career progress and inclusion: Navigating the impact of parenthood on recruitment and retention of women in the mining industry

Mine sites are often remote and are unable to provide the same flexibility that other workplaces do. For workers who become parents, these factors make balancing work and family obligations particularly difficult. Because research has shown that younger ( Millennial and GenZ) workers place high value on work-life balance, and because retaining skilled workers is […]

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Harvest rain droplet kinetic energy for the emerging Internet of Things (IoT) technology

The research project aims to explore rain droplet kinetic energy harvesting for advanced engineering applications in the emerging Internet of Things (IoT) technology. As the world increasingly seeks renewable energy sources and sustainable technologies, the concept of harvesting wasted energy forms from the environment gains significance. One promising avenue is reverse electrowetting on dielectric (REWOD), […]

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