Design improvement of novel textile garment technology

In this project, we focus on a composite wearable system that combines a kirigami pattern with fabrics with the goal of realizing a wearable garment that can morph and conform to human body parts. Preliminary results have shown challenges on the fronts of manufacturing and attainable performance, i.e. the integration of the textiles and the […]

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Multi-task Reinforcement Learning for Video Games

An important component of modern video games is the non-player character (NPC), moving entities in-game that are not controlled by a human, which may cooperate with, oppose, or otherwise interact with the player. For an NPC to interact with the game word it must often perform complex tasks that are difficult to program explicitly. Research […]

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AI-Based Content Adaptive Video Compression

The rapid evolution of video resolution has significantly increased the video bitrate requirement, making data transfer a challenging task for data-intensive applications like video conferencing, cloud gaming and game streaming. With the rise of machine learning, studies have shown the potential of embedding conventional video compression algorithms with AI-based methods to enhance their performance. This […]

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Déploiement d’une politique de participation citoyenne : élaboration du modèle de la Ville de Magog

Quels critères doivent être considérés afin de déterminer les étapes à déployer pour optimiser les résultats des pratiques de consultation citoyenne? C’est la question centrale de ce projet de recherche développé en partenariat avec la ville de Magog. Cette étude possède deux objectifs spécifiques. Premièrement, elle vise à accompagner cette municipalité située dans la région […]

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ML/AI LLVM Methods to Map Code to Core Architectures and Optimize

Modern compilers have increasingly large number of complex optimizations to meet the prevalent demand of using Machine Learning (ML) and Artificial Intelligence (AI) in gaming and other applications. Optimization passes are program and architecture depend. Therefore, selecting the best optimizations in the most optimal ordering is a difficult task. While leveraging ML methods in compiler […]

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Efficient Avatar Generation from Arbitrary Images

AR/VR may be the next frontier for online human communications and interactions. The ability to produce photorealistic avatars dramatically improves the feeling of immersion and connection in applications utilizing AR/VR. However, current methods of face capture are time-consuming and involve expensive cameras and sensors. In this project, we explore deep learning methods for generating face […]

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Machine learning aided accelerated design and characterization of automotive composites

The proposed research project involves developing machine learning models to predict the mechanical properties of polymer composites. The interns will collect and preprocess data from various sources including open-source databases and conducting extensive experimental tests, build artificial neural network (ANN) models using advanced algorithms, and validate the accuracy of these models using test data. The […]

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Projet CCP : Cohabitation cyclistes-piétons sur les rues piétonnes : PARTIE 2

Pour répondre aux besoins des citoyens (mobilité, loisirs, activités sociales) en respectant les impératifs de distanciation physique, la Ville de Montréal et ses arrondissements ont implanté à l’été 2021 des rues piétonnes sur des artères commerciales, donc deux ont proposé des projets-pilotes de cohabitation des piétons avec les cyclistes (Avenue du Mont-Royal et rue Wellington). […]

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Advancing Generative Models for Vision and Language: A Collaborative Study with ServiceNow Research and ÉTS Montréal

This research project, a collaboration between ServiceNow and ÉTS Montréal, aims to improve generative AI (e.g. artificial intelligence models that learn to generate data), which can impact various creative and knowledge-based industries like graphic design, content creation, and research. The project aims to create advanced generative models that can generate a variety of data types, […]

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Dispositif de formation pédagonumérique sur la cyberdépendance au secondaire à l’aide de technologies innovantes

Il existe un vide de connaissances scientifiques autour de l’utilisation des hologrammes et de la réalité virtuelle à des fins pédagogiques, notamment pour l’enseignement au secondaire. À l’inverse, les savoirs débordent sur les impacts relatifs à une utilisation excessive des écrans chez les adolescents, mais peu d’étude tente de les contrer par une mobilisation concrète. […]

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