L2M QC 2024 – « Infonuage télé-robotique : validation du besoin commercial des robots téléopérés dans les infrastructures en régions nordiques ou éloignées »

Le produit et les services qui sont étudiés dans l’analyse de marché visent à résoudre le problème de l’accessibilité et de l’efficacité des interventions dans les sous-stations électriques situées dans des zones éloignées et difficiles d’accès, en particulier dans le grand nord canadien. Ce stage favorisera l’étude du marché et la validation de la solution […]

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L2M QC 2024 – «Development of Printed Electrochemical Sensors for Efficient CO2 Monitoring and Carbon Capture Applications »

The development of low-power, printed gas sensors is revolutionizing the monitoring of harmful gases like CO2 across various industries. This innovative technology offers a real-time, advanced, and cost-effective solution for detecting and measuring gas levels, significantly enhancing environmental monitoring and industrial process optimization. Utilizing resistance-based and electrochemical sensing approaches, these sensors are part of a […]

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Photonic molecular detection using coupled micro-ring resonators with thermal compensation

This research aims to advance point-of-care molecular diagnostics by combining isothermal nucleic acid amplification with innovative photonic detection techniques. The project will focus on modeling and optimizing polymer based optical resonators to improve sensitivity and thermal stability during amplification processes. By meeting the WHO ASSURED criteria (Affordable, Sensitive, Specific, User-friendly, Rapid and Robust, Equipment-free, and […]

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Estimation de l’état des batteries lithium-ion grâce à l’apprentissage automatique en contexte de véhicules hors route

Ce projet vise une « analyse de la viabilité technique des méthodes d’apprentissage automatique appliquées pour l’estimation de l’état de charge dans les véhicules hors route ». Spécifiquement, nous allons définir les structures de méthodes d’apprentissage automatique pour l’estimation de l’état de charge, les implémenter dans différents types de processeurs et les valider sur de […]

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Optimisation des Chaînes d’Approvisionnement pour la Décarbonisation du Transport Lourds sur les Circuits Courts

Dans un monde où la lutte contre le changement climatique devient une priorité, ce projet vise à réduire les émissions de carbone du transport lourd sur des circuits courts. Imaginez des camions, essentiels à notre économie, devenant plus propres et plus efficaces. Ce projet explore des méthodes novatrices pour rendre cela possible en optimisant les […]

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Optimization of heat pump water heaters operating at extreme cold temperatures

The extreme cold weather of Canada requires innovative solutions to provide efficient options to for heating of water domestically, industrially and commercially. Heat pump water heaters might be the answer as efficient heating systems and cost-effective on the long term. Hence, this project studies heat pump water heaters as a potential efficient and environmentally-friendly substitution […]

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Istituto Ortopedico Rizzoli – HTO Research

Abnormal knee loading is known to contribute towards knee osteoarthritis, causing tissue damage and pain. High tibial osteotomy is a surgical procedure that corrects abnormal knee loading conditions and alleviates osteoarthritis symptoms. However, we don’t fully understand how different surgical procedures affect joint tissues. Establishing the relationship between joint structure and joint surgery presents an […]

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Development of surrogate model platform to quantify the impact of design decisions on energy consumption, peak demand, and greenhouse gas emissions for buildings in North America

Canada aims to significantly reduce greenhouse gas emissions by 2030 and achieve net-zero emissions by 2050. Buildings play a big role in this effort, so this research focuses on developing a tool to design and retrofit buildings for greater energy efficiency and sustainability. Using advanced computer models and data from building simulations, this tool predicts […]

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Functional MRI for post-stroke rehabilitation

Motor impairment is a common symptom after stroke and recovery of motor function is important for regaining the patient’s independence in activities of daily living. Being able to predict motion recovery and outcomes soon after stroke could support clinicians, patients and families to set proper goals for rehabilitation and appropriate plans of time and resource […]

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L2M – Reinforcement-Learning-Driven Electronic Design Automation (EDA) for Optimal Layout Placement

Reinforcement Learning (RL) driven Electronic Design Automation (EDA) is revolutionizing layout placement optimization for integrated circuits, enabling a faster design process. By incorporating the RL techniques, we enhance the historically precise yet labor-intensive process for smart integrated circuit (IC) fabrication. This innovative approach streamlines IC design, accounting for factors such as foggy and proximity effects, […]

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Use of Metakaolin as Alternative Supplementary Cementitious Materials in 3D Printing of Concrete

3D Concrete Printing (3DCP) could potentially increase the efficiency of construction projects and profitability. However, 3DCP typically mixes contain high volume of paste which implies high volume of binder. The expeditious development of 3DCP requires exploring other prospective and sustainable mixes besides the use of Ordinary Portland Cement (OPC) based mixes to meet the high-volume […]

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