Recherche de traceurs chimiques dans l’huile isolante permettant de déterminer indirectement la vie résiduelle des transformateurs de puissance

Un problème réel dans l’industrie des transformateurs de puissance est le manque d’outils et de méthodes précises pour déterminer l’état et la durée de vie de l’isolation principale. Ces appareils onéreux, composés d’enroulement de cuivre isolés par du papier et le tout baignant dans une huile isolante, représentent le coeur de tous réseaux électriques. Le […]

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Optimizing Mobile Unit Deployment Based on Accessibility and Risk Indicators

This project will extend the Maximal Covering Location Problem with Accessibility Indicators (MCLPA) by incorporating mobile units (MUs) to enhance service areas and optimize accessibility. The proposed Maximal Covering Location Problem with Accessibility Indicators and Mobile Units (MCLPAMU) will consider facilities and MUs with varying service areas and capacities, as well as customer mobility areas. […]

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Auxetic-geometry sleeve of a continuum soft robot for stiffness variation

The project aims to the improvement of a soft robot dexterity by adjusting its stiffness while performing a task, through an auxetic shell. This project will address current limitations in design and control of these types of robots. By combining the expertise of McGill University and CINVESTAV, researchers will explore auxetic geometries, design and manufacturing […]

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L2M – Automated Weight Monitoring for Free-Range Beef Cattle

The beef cattle industry faces significant challenges in cattle weight monitoring, particularly in free-range systems where traditional methods are labor-intensive, inaccurate, or infrequent. This results in delayed growth, increased feeding costs, and a larger environmental footprint, requiring the development of innovative and sustainable technologies, as well as collaborative efforts. To address this, we propose an […]

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L2M QC Spring 2025 | Social Worker Safety and Reporting Application – SafeSocial

SafeSocial is a mobile and web application designed to improve the safety and efficiency of social workers during home visits. By providing real-time monitoring, emergency response, and AI-powered incident reporting, the app helps social workers feel more secure and supported in the field. Key features include a panic button, live location tracking, risk assessments, and […]

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L2M QC Spring 2025 | Personalized Daily Rhythm Optimizer (Technohealth): Using wearable sensor data to detect an individual’s biological clock and optimize daily schedules for peak mental performance, relaxation, and recovery.

Canada’s healthcare system is facing growing challenges, including rising costs, overworked providers, and limited access to preventive care. At the same time, mental health disorders and chronic diseases are increasing, often linked to disrupted sleep and daily activity patterns. Despite their impact, these disruptions are difficult to track because they rely on self-reports, occasional doctor […]

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