The Research on the Positioning of Virtual Humans in AR Collaboration Systems

Our research expands the paradigm of 1:1 AR collaboration systems to multi-party AR collaboration systems, enabling more flexible control over the positioning of the RU. We investigate multi-party conversations involving two or more participants and one VH replacing the RU. Specifically, we vary the distance between the two LUs and the VH to examine RU’s […]

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Large Language Models for Improving Quantum Communications and Networking

The aim of this research project is to explore the use of Large Language Models (LLMs) in quantum technologies for computer network system scenarios. The hypothesis is that we can easily comprehend and utilize quantum algorithms to propose solutions for networks by leveraging Large Language Models technologies in specific tasks. Moreover, another interesting question that […]

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CRITAC : Modèles d’estimation de pose pour les arts du cirque

Les compagnies de cirque au Canada innovent en intégrant des technologies numériques comme la capture de mouvement dans leurs spectacles, créant ainsi des expériences virtuelles et hybrides. Toutefois, les systèmes de capture actuels avec marqueurs ne sont pas adaptés aux performances acrobatiques. Le projet vise donc à tester différents modèles d’estimation de mouvement pour trouver […]

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Investigate machine learning algorithms to detect anomalies in computing infrastructures in real-time

Metafor is developing a new class of IT system management solution to monitor computer and application activities, and alert when anomalous behavior occurs. Current commercial tools for anomaly detection use simple statistical rules and thresholds to detect anomalies. These methods are failing for today’s dynamic cloud environment where change is constant. As a result, IT […]

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Optimizing Optical Coherence Tomography Scanning Efficiency with Low-Rate Acquisition and AI-Based Image Synthesis

Perimeter Medical has been developing a novel optical coherent tomography (OCT) technique combined with AI to analyze tissue edges quickly. This project aims to make the method faster by acquiring images more efficiently. This will help surgeons assess tissues quicker and shorten surgery times, which in turn will lead to less time for patients to remain […]

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Projet supervisé – Élaboration d’un référentiel de compétences pour les activités clés de démarrage d’une entreprise technologique

Les entreprises en démarrage au Centech sont formées d’équipes multidisciplinaires dont les membres fondateurs possèdent des formations de premier et second cycle en ingénierie et en administration. Ces individus qui passent du statut d’étudiant à celui d’entrepreneur ont besoin d’acquérir rapidement des connaissances et une expertise solide, afin de faire croître rapidement leur entreprise à […]

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TP3 Mobile

TimePlay’s project aims to revolutionize the entertainment experience by providing innovative solutions that increase engagement and participation among players and participants, ultimately enhancing the overall satisfaction and enjoyment of their environment. Our TP3 Mobile, serves as a platform that hosts various interactive games and components, including features that allows hosts to control the flow of […]

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GPU Scheduler Modeling for Early Power-Performance Estimation of Mobile Applications

User experience and battery life are key concerns for smartphone makers. Given the growing trend of graphic-rich applications on mobile devices, embedded Graphics Processing Units (GPUs) are increasingly being incorporated in smartphone hardware platforms. In this project the intern will develop fast, early and accurate models of embedded GPUs, before the GPU hardware is available. […]

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