Models of synchronous machines and renewable energies for the SPS library of Simulink Matlab

With the growing integration of renewable energy into power networks, their dynamic behavior has undergone significant changes. To ensure stability, it is essential to accurately model the dynamic behavior of key equipment, such as synchronous generators and inverter-based sources, within these networks. This project focuses on the implementation, analysis, development, and validation of established models […]

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Environmental monitoring, camera data collection and modelling in CEA

Controlled environment agriculture (CEA) is progressing toward innovative solutions specifically with remote monitoring instrumentation and artificial intelligence, can predict and detect physiological plant characteristics that will improve crop yield. The overall objective of this study is to design and build a test growth chamber to evaluate and remotely monitor environmental conditions and plant health. Environmental […]

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Meto 3.0

Meto 3.0 est une solution intelligente qui permet de concevoir et gérer la stratégie de l’entreprise et d’exécuter la séquence des actions requises pour activer la croissance, l’innovation et la valorisation des PMEs. L’application est une plateforme collaborative qui capte l’information aussi bien sur le cloud que via des données privées afin de générer automatiquement […]

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Short-term effects of anthropogenic sediment additions on biogeochemical properties of the Fraser River Estuary

The Fraser River estuary tidal marsh is declining, and loss of this key habitat has wide ecosystem implications, from supporting juvenile salmon to migrating shorebirds. The Sturgeon Bank Sediment Enhancement Project is attempting to reverse this trend. This project will assess the short-term effects of anthropogenic sediment additions through assessment of biogeochemical and microalgal indicators.

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A PROPOSAL FOR CONTINUATION OF A RESEARCH PROGRAM TO INVESTIGATE THE ROLE OF CATHEPSIN K IN OSTEOARTHRITIS (OA) AND CREATE NEW DIAGNOSTIC ASSAYS FOR THE EARLY DETECTION OF OSTEOARTHRITIS

Osteoarthritis is a chronic painful disease of joints that involves the progressive destruction of the articular cartilage and bone and leads to pain. It affects both humans and animals. Animals can serve as models for the human disease and in this case we will study equine OA. There is currently no effective medication that can […]

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Hepatic encephalopathy outpatient quality metrics

Hepatic encephalopathy is a major cause of morbidity and mortality. As an initial part of her thesis, the intern will contribute to determining priorities for the development of an outpatient cirrhosis database inclusive of hepatic encephalopathy quality measures. The findings will be disseminated through the intern’s thesis, peer-reviewed publications, and conference presentations, contributing to the […]

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Cytotoxicity analysis of novel monoclonal antibodies targeting SSAT-1

Cancer is one of the leading causes of death worldwide with approximately 8 million deaths in 2010. Most cancer treatments lack specificity and affect the whole body, with toxic effects on both cancerous and normal cells. The cytotoxic effect of a new therapy developed by Biomark Technologies, Inc. targeting cancer cells will be assessed. Biomark […]

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Improving health and healthcare for adults with neurodevelopmental disabilities

CAMH is Canada’s largest mental health hospital and is also one of the world’s leading research centres in the field of mental health. The organization conducts groundbreaking research, provides training to health care professionals and scientists, develops health promotion and prevention strategies, and advocates for public policy change. More specifically, the Azrieli Adult Neurodevelopmental Centre, […]

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Intelligent Revenue Management: Automated Insights for the Transportation Industry with applied machine learning.

Business Case / Problem: The travel industry is increasingly competitive, requiring innovative approaches to pricing, distribution, and strategic planning. This business case proposes an development of a machine learning (ML), or equivalent module to specifically analyze two types of telemetry data: pricing, booking across multiple distribution channels. By leveraging this data, the module will provide […]

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Stabilisation géochimique des fosses remblayées et ennoyées avec du Bauxsol

Ce projet de recherche porte sur l’étude approfondie des propriétés du Bauxsol™, un produit dérivé de résidus de bauxite, pour améliorer la qualité de l’eau dans les fosses de mines à ciel ouvert. Ces fosses sont généralement remplies d’eau après la fin des activités minières et contiennent des résidus miniers et des stériles susceptibles de […]

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