Data use for HIV Prevention in Malawi

HIV prevention is a growing, and essential facet, of halting the HIV epidemic. Reducing the transmission of HIV and ensuring individuals are tested and put on antiretroviral therapy (ART) cannot effectively and efficiently be accomplished without decisions that are founded on high-quality evidence. Current projects focus on data availability and use among decision-makers and actors […]

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Amélioration de la caractérisation des habitats du saumon des rivières de Gaspé

Le projet vise à améliorer la caractérisation des habitats du saumon atlantique, une espèce de poisson dont la pêche sportive constitue une grande valeur économique pour les provinces de l’est du Canada. Dans un premier temps, des méthodes géomatiques à la fine pointe de la technologie seront utilisés pour produire une cartographie semi-automatisée, à jour, […]

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Étude sur la rétention des étudiants et le profil des finissants dans les programmes aéro (ÉMAM et ÉNA)

Ce projet de recherche vise à identifier les facteurs susceptibles à expliquer les raisons sous-jacentes a la réussite, la persévérance et l’engagement des étudiantes et étudiants inscrits aux programmes de formation initiale en aérospatial. À l’aide d’un questionnaire en ligne basé sur des échelles motivationnelles, ce projet identifiera: (1) les raisons pouvant pousser les étudiants […]

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Étude de faisabilité de soudure par FSW sur section de tour 412

SBB désire changer de procédé de soudage pour un de leurs produits. Ils veulent remplacer 3 soudures présentement effectuées à l’arc électrique, par des soudures par friction malaxage (FSW). Le soudage par friction malaxage est un procédé relativement nouveau qui utilise la friction générée par un outil en rotation pour mélanger l’interface de deux pièces […]

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3D Finite Element Simulation of Residual Stress Distributions Induced by Rough Milling Processes in Large Steel Blocks

This research project aims to identify the defects in large steel blocks and remove them by providing a practical solution which causes to optimize the machining operations and improve the product quality. The solution will be found using simulations instead of expensive, time-consuming experiments, which are impossible to conduct in large blocks to recognize the […]

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Neuromorphic computing with memristor devices

Neuromorphic computing is an approach to artificial intelligence (AI) that uses hardware elements inspired by the components of the brain and presents an alternative to the dominant von Neumann computing paradigm based on digital hardware. Recently, nano-scale devices known as memristors have been identified to offer area- and energy-efficient solutions when used in neuromorphic computing […]

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Analysis of socio-demographics with missing values in the UK Biobank

Data acquisition at scale implies missing values: in the biological signals as well as in the demographics and questionnaire data. These missing values are structured –missingness appears as blocks– and often causal –more missing health information for lower income individuals. While there are many works on the treatment of missing values in the clinical trial […]

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Cutaneous T cells and disease severity in adult atopic dermatitis

Strong evidence for T cell activation in atopic dermatitis disease pathogenesis exists, as demonstrated by the clinical efficacy of therapeutic T cell cytokine blockade. The subsets of human T cells capable of contributing to pathology of this disease remain poorly defined, lending importance to the characterization of T cells and their cytokines within active skin […]

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Constrained Batch Estimation for Train Positioning with Inertial Sensors

Similar to current efforts in the automotive industry, there is a substantial interest in developing fully autonomous trains. One of the key steps towards enabling autonomous operation is being able to accurately estimate train position and speed. In addition to this, better estimates will also increase safety and reduce distance between trains, allowing more frequent […]

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Gated and RGB Fusion for Robust Perception

Robust perception in all weather conditions is a critical requirement for autonomous vehicles. This project proposes fusing gated and conventional RGB camera images for robust scenes encoding, depth estimation and trajectory prediction. Conventional approaches using lidar and RGB camera fail to perform robustly in rain, fog and snow. By extending existing computer vision algorithms to […]

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