AI-Driven AR Avatars for Situated Learning

In this project, we explore using augmented reality avatars for supporting learning in low-traffic makerspaces. While makerspaces primarily provide community members with access to tools, they also serve as places to learn where community members build expertise with the equipment and fabrication processes. This learning process can either be guided formally using the makerspace as […]

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Federation of heterogeneous data sources for the linked data back-end in the Gold Fish mobile application

The overall goal is to create the backend of a mobile personal organizer that suggests professional events (conferences, colloquia, workshops, exhibitions) and contacts to establish while attending events, to members. Currently, the target audience are professionals in the biomedical domain. Given the need to feed data and meta-data from heterogeneous sources into the application, the […]

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Autonomous Cable Seal Application and Removal

The two major objectives of the umbrella grant are to 1) empower the partner organization to improve their digital capacity and gain insight into their data to support business growth and innovation. 2) Provide students with work-integrated learning experiences that expose the students to advanced data analytical techniques, data mining and machine learning. DICE focuses […]

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Large Language Model (LLM): Mobile tools for Social Media Dynamics Creation

In today’s social media landscape, users are constantly creating a variety of content, from texts and images to videos. However, producing high-quality material often requires expertise and resources that many don’t have. This is where our collaboration with PetoLab, an innovative social media app for pet enthusiasts, comes into play. We’re on a mission to […]

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Valorisation de données en viabilité hivernale (Interfaces graphiques et optimisation)

Le problème d’entretien hivernal des routes constitue un domaine de recherche crucial, où les chercheurs ont cherché à élaborer des stratégies novatrices pour gérer efficacement les ressources tout en garantissant un service de qualité. Les variations climatiques, les quantités variables de neige et les contraintes logistiques font de ce problème un terrain propice à l’application […]

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Deep Learning for Automation of 3D Pore Analysis in Micro-CT Tomographs

This research proposal focuses on addressing the prevalent challenges associated with Proton Exchange Membrane Fuel Cells (PEMFCs), specifically targeting the reduction of greenhouse gas emissions. Despite significant advancements in performance and durability, particularly in automotive contexts, the high cost associated with essential materials for optimal functionality remains a formidable barrier. Notably, advancements in cathode gas […]

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Understanding Drone Pilot Needs to Develop a VR Training System

Using drones to inspect power lines, which can involve travelling in isolated areas, makes this process faster and more secure. Yet, training drone pilots for this task is time-consuming and expensive. In this project, we propose to partner with Connect Atlantic Utility Services Corporation to develop a Virtual Reality training system for drone pilots. This […]

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AI Improved Markerless Motion Capture For Dance

Motion capture is a technology to track human motion in 3D for replication with digital tools, such as mixed and virtual reality, video games, or movies. However, full 3D tracking requires the complex and finicky setup of multiple cameras that are prohibitively expensive to individuals or small studios. This is especially difficult with complex human […]

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