Accroître l’autonomisation du personnel pour favoriser l’innovation au sein de l’écosystème aérospatial québécois : étude des déterminants et des retombées potentielles

Avec l’arrivée rapide des technologies émergentes et les objectifs du secteur aérospatial en matière de développement durable, les entreprises du secteur aérospatial québécois doivent aujourd’hui adapter leurs pratiques de gestion afin de demeurer compétitives sur le marché et attrayantes pour le talent. Alors que les modèles existants de gestion de changements suivent plutôt une approche […]

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Développement logiciel d’un ordinateur embarqué reposant sur la technologie FPGA – QC-744

Le projet consistera en la programmation d’un ordinateur embarqué roulant sur Linux devant assurer le suivi des signaux vitaux (humidité, pression, puissance optiques et températures) d’un laser en opération dans l’espace ainsi qu’au contrôle de certains modules de distribution de puissance électrique. Au-delà de la programmation du FPGA, le projet consistera aussi en la fiabilisation […]

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Quantum sensor-based localization system for future urban air mobility

This project is investigation of conventional air vehicle localization using GPS and mobile networks and verification on that their weaknesses in the accurate and seamless localization can be supplemented or strengthened by future quantum sensor-based localization to discover a new blue ocean in the mobility industry.

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Investigation of the role of convective velocities for turbulent spectrum reconstruction

Turbulent flows are complex patterns of fluid motion commonly encountered in nature and engineering applications. Turbulence involves various spatial and temporal scales of motion, making it challenging to measure accurately. This project aims to understand the nonlinear, multi-scale dynamics of turbulence. By utilizing an advection-based method, this work proposes a technique to enhance the temporal […]

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Advance Electrohydrodynamic Enhance Phase Change Thermal Storage

This research is motivated by a critical need for novel devices and technologies to harvest and store “lost” thermal energy energy at a time when societies around the world are facing surging energy demand. Solid-liquid phase-change materials (PCMs) are attractive solutions as they have a relatively high thermal capacity because of the latent heat of […]

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Self Supervised Learning of Embeddings for Semi-Supervised Track Classification

Total::Insight™ is a geospatial and time distribution Decision Support System (DSS) that includes a correlator capable of consuming many sporadic time domain signals and converting them into feature rich tracks. The problem here is how to create an AI/ML embedding that is domain relevant from the tracks.The project objective is to develop, refine and industrialize […]

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Benefits assessment of a retrofitted training aircraft with a Rotax 916 iS

Pilot training plays an important role in the aerospace industry and must also be aligned with the industry’s objective to achieve net-zero carbon emissions by 2050. Electrification of training aircraft is a solution already being implemented by training services such as CAE. However, current battery technology is limiting the potential benefits of a direct retrofit […]

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Pose estimation of objects of interest by aerial multirotor drone

Aerial drones have been seeing a rise in popularity in a variety of domains such as shipping, search and rescue operations, and photography due to their ability to carry cameras and other packages through trajectories that avoid ground obstacles or offer an advantageous vantage point, all while allowing the operator to remain at a safe […]

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Hand and Eye-Tracking Feature Extraction for Biometric Machine Learning of Flight Simulator Operation

Our project seeks funding through the MITACS Globalink internship to introduce a revolutionary approach to pilot training by integrating virtual flight simulation and biometric machine learning. Dr. Michael Barnett-Cowan leads this cross-disciplinary initiative, utilizing his expertise in flight simulation and motion sickness to develop a sustainable, inclusive, and cost-effective flight training system. At the core […]

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Compréhension du comportement vibro-acoustique du plancher de la zone non simulée des simulateurs de vol : déterminer les facteurs plus influents.

Les simulateurs de vols sont devenus des instruments indispensables pour former les pilotes et membres d’équipages. Le leader mondial dans la conception de ces simulateurs est CAE, une entreprise Canadienne comptant plus de 10 000 salariées. Cependant, afin de garder une longueur d’avance sur ses concurrents, il lui est nécessaire de constamment les performances de […]

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LR-FHSS-base network size estimation for dts-iot

The project’s goal is to find out if the network size estimator L-OCI, designed for direct-to satellite Internet of Things LoRa based scenarios, can be extended and/or adapted to work based on LR-FHSS. We want to see if they can handle many devices, and whether this combination is good or bad for a specific problem. […]

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Design and Life Cycle Analysis of Electric Aircraft Propulsion Systems

In collaboration with CAE, the project’s primary goal is to identify an appropriate material to isolate a battery pack in a hybrid electric aircraft. The chosen material must be as light as possible, while meeting appropriate safety standards. This battery module will be integrated into an aircraft for testing by the industry partner. With a […]

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