Automatically assessing a pilot performance during a flight training session is a capability that can enhance the flight instructor during his duty. From data gathered during a flight maneuver, we are looking for a way to automatically assess pilot performance to augment instructor performance and provide objectivity during flight training assessment.

Front-line clinicians have reported that different respiratory stiffness results in different COVID-19 patient conditions on ventilators. In this project, we test and improve NovaResp’s monitoring hardware and analyze the collected data for development of algorithms with focus on respiratory stiffness of patients with COVID-19. The resulting algorithms and monitoring device could lead to determine whether […]

It is crucial to understand soil-pipeline interaction to be able to design buried pipes against Geohazards. Soil-pipe interaction in the level ground is well established, and the current design practice is based on the assumption that a pipe is installed on a flat ground surface. In reality, however, pipelines often cross natural slopes and sometimes […]

There is currently an abundance of research in the community in terms of capturing X-ray data around COVID-19 analysis to help diagnosis for radiologists. However, at the same time there are staffing shortages that lead either to long diagnosis wait times and potential misdiagnosis. Our research is focused around rapid deployment of AI and developing […]

Selon le Ministère de l’Économie, de la Science et de l’Innovation, la nouvelle réalité est que le cycle de vie moyen des produits est de trois à cinq ans selon les marchés. Les entreprises doivent constamment améliorer leurs produits et en créer des nouveaux pour maintenir leur position par rapport à la concurrence. La recherche […]

The Master’s student will conduct the investigation of the state-of-the-art of the engine mount-damperaircraft structure technology to reduce the aircraft structural vibration. He/she will establish the framework for the modeling, based on the test and experiment procedures that are provided by P&WC. The modeling will be planned so that the model results can be verified […]

In close collaboration with our industrial partners, we propose to exploit our understanding and control of polymer electrospinning, in order to produce high-performance polymer-based filter membranes deposited on medical-grade cellulose substrates. In turn, these high-performance filter membranes will be produced in high volumes by our industrial partners for the manufacturing of N95-grade protection masks essential […]

Today with the ever increasing price of fossil fuels and the growth of gas emissions, the development of renewable energies has become a priority for almost all world government. In this context, Ile Infinie wants to be an actor of this transition by installing green system of energy production devices. The company works with other […]

The objective is to design, develop, and test the power system in a next-generation rough-terrain utility vehicle developed by Dumur Industries, with particular focus on the battery used and its own power management system. The vehicle propulsion is via tank-type tracks that transmit power from the front to the back wheels via continuous chain-type tracks. […]

Globally, all small and large industrial operations pay high and increasing costs to compensate for the damage and losses caused by corrosion. Based on the statistics, in Canada, various industries spend more than $80 billion per year collectively to cover the direct and indirect costs of corrosion. Annually, hundreds of people are injured or killed […]

Globally, all small and large industrial operations pay high and increasing costs to compensate for the damage and losses caused by corrosion. Based on the statistics, in Canada, various industries spend more than $80 billion per year collectively to cover the direct and indirect costs of corrosion. Annually, hundreds of people are injured or killed […]

This project is about using artificial intelligence to interpret agricultural remote sensing data. We will develop new means to integrate repeated imagery data of targeted agricultural fields to pinpoint agronomically significant anomalies (e.g., water or nutrient stress, crop pathology, weeds, etc.) and provide field managers easy to follow recommendations guiding development of the most cost […]