Ce projet de recherche a pour but d’améliorer un simulateur de boxe en réalité virtuelle afin d’aider les athlètes de boxe canadiens à s’entraîner de manière plus performante tout en réduisant les risques de blessures, telles que les commotions cérébrales. Le stagiaire sera responsable de l’évaluation de l’interface utilisateur du simulateur, en établissant une étude […]

Une eau potable de qualité est essentielle à la santé de tous. Plus d’un dixième des ménages québécois consomment l’eau de puits privés. Il incombe aux propriétaires de ces puits de s’assurer de la potabilité de leur eau. Ceux qui suivent la recommandation consistant à faire régulièrement analyser leur eau éprouvent souvent des difficultés à […]

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 […]

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 […]

A resource to measure collaborative practice and generalized learning within minutes needs to be easy of use, effective and provide intrinsic motivation to engage users. This project advances the company’s commercialization opportunities by expanding entry into larger organizations and provides an additional opportunity to expand market reach. In the future, the product can be used […]

Next to its essential role of supporting operational and decisional business activities, data also has economic significance. The desire to seek maximum value from their data assets prompts organizations to implement different infrastructures, architectures, governance, and security to facilitate creating and storing huge volume and variety of data. However, these implementations come with challenges as […]

The proposed project aims to enhance decision-making in capital allocation by integrating different AI techniques into a data processing system. The goal is to develop an intelligence platform that efficiently processes large amounts of financial data, using AI to uncover valuable insights. The program will have different parts that each works on specific tasks, including […]

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3D modeling is crucial for effective left ventricular assist device (LVAD) implantation by providing surgeons with precise, personalized visualizations of the patient’s heart anatomy. The proposed technology will allows for detailed preoperative planning, optimizing the placement of the LVAD within the left ventricle. The accuracy and individualized approach afforded by 3D modeling will contribute to […]

In-vehicle networks of modern automobiles, particularly Controller Area Networks (CAN), are vulnerable to cyberattacks which can cause dangerous accidents. There are many CAN intrusion detection systems (IDS) that use different techniques and features. While there are several CAN datasets available from real vehicles and CAN testbeds, we identify a lack of datasets containing signals decoded […]

The purpose of this project is to leverage Open AI fine-tuned models to enhance the speed in which consulting firms can respond to government issued RFPs. The benefit to the partner organization is enhanced speed and ability to match requirements with consultants.