Développement d’un additif inhibiteur de corrosion vert pour un formate de potassium destiné au dégivrage et l’antigivrage des ponts et routes

La recherche envisagée vise à relever le défi critique de combattre la corrosion induite par l’utilisation répandue de sels de déglaçage, tels que le NaCl et le CaCl2, sur les infrastructures routières. Cette problématique majeure entraîne une détérioration accélérée des structures en béton, avec des conséquences coûteuses sur l’entretien et la durabilité des infrastructures. L’objectif […]

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Mesure de la maturité et de la transformation numérique de la Ville de Laval

Les entreprises manufacturières de la Ville de Laval au Québec affichent un retard significatif dans l’adoption des technologies numériques, attribué au manque d’alignement avec le modèle d’affaires, la difficulté à établir des indicateurs clés de performance, et le déficit de compétences internes et de motivation des employés. Ce projet vise à évaluer la maturité numérique […]

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Speech Analysis for 9-1-1 Calls and Surveillance Audio

This research project has two goals. The first goal is to design and test software that will analyze the content of transcribed 9-1-1 emergency calls. We will use Natural Language Processing (NLP) and Artificial Intelligence (AI) to perform an evaluation of the operator performance during the 9-1-1 call and generate an evaluation form in the […]

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Enhancing Recruitment Application Processing Using Artificial Intelligence Technology

ApplyBoard is a Canadian company that offers an artificial intelligence-enabled recruitment platform to help international students apply for post-secondary studies abroad. Embarking on a collaborative venture with York University, this research project aims to improve the application processing framework at ApplyBoard through the integration of advanced AI technologies. By leveraging machine learning algorithms, Optical Character […]

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Réalité virtuelle sur circuit logique reconfigurable appliquée aux troubles du comportement alimentaire

Avec les avancées technologiques, la réalité virtuelle devient de plus en plus accessible comme outil diagnostique et traitement dans le domaine de la psychologie en général et celui sur les troubles du comportement alimentaire en particulier. Le dispositif actuellement disponible est basé sur un ordinateur. Le manque de mobilité du dispositif et les ressources matérielles […]

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Landmark Segmentation and Image Registration of Abdominal Point-of-Care Ultrasound Images using Deep Learning

According to the Canadian Liver Foundation, non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease in Canada, affecting 20% of the Canadian population. Over decades, NAFLD can progress to liver cirrhosis, with deceased liver function and decompensation associated with mortality and requiring consideration of liver transplantation. Thus, early diagnosis is crucial to […]

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Enhancing Concussion Care through Telehealth and AI: Integrating Brainbot with the Concussion Education and Self-Management (CESM) program for Optimal Symptom Management and Patient Empowerment

Brainbot and the TeleNeurorehab Centre for Acquired Brain Injury at the KITE Research Institute are partnering to explore how innovative digital solutions can expand access and enhance the healthcare experience. Interns will delve into the research of a cutting-edge digital tool aimed at improving patient care and management for concussion recovery. Brainbot will gain valuable […]

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Assessing complex trade-offs across coastal adaptation alternatives: incorporating urban context, climate uncertainty and stakeholders.

As communities seek to advance their climate adaptation plans, deciding what projects to implement and when poses a significant challenge, particularly given the remaining uncertainties related to climate impacts, as well as dealing with limited resources for project implementation within communities. Using the Coastal Flood Adaptation Strategy of the City of Surrey, the proposed research […]

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Durability Analysis of Larger Photovoltaic Modules with Solar Tracker Systems towards Enhanced Share of Solar and Renewable Energy

Solar photovoltaics (PV) is currently the second-largest renewable energy after hydropower, producing 3.6% of the world’s electricity in 2016. To achieve caron neutrality, higher share of solar and renewable energy is required, and enhancement of durability of solar PV modules of larger size with tracker systems is the key. This research employs laboratory testing and […]

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Developing a high throughput in vitro method for testing pro-regenerative molecules

Multiple sclerosis is highly prevalent in Alberta and is characterized by loss of myelin (brain white matter) and myelin-producing cells, oligodendrocytes. This leads to neurodegeneration and symptoms like blurred vision, impaired cognition, loss of mobility and/or paralysis. Currently there are no treatments aimed to replace lost oligodendrocytes and myelin. This can be achieved by stimulating […]

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Comparing total tract lipid digestibility and fatty acid profiles of high-fat byproducts used in western Canadian beef finishing diets through a three-step in vitro method

Growing beef for consumption requires a high-energy diet. Fat is 2.25 times more energy dense than carbohydrates. To increase the energy in the diet, feedlot nutritionists will add high-fat ingredients to the diet. In western Canada, these sources were traditionally tallow, corn oil, or yellow grease, but byproducts from the ethanol and oilseed industries offer […]

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Stabilizing VSV and AdV Vaccines

Vaccines are inherently unstable and are stored in the refrigerator or frozen. This project aims to design a vaccine technology, using a viral vector, that would be much more stable and able to be stored at room temperature. This advantage would reduce the cost of transport and storage, especially in the case of stockpiling for […]

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