Plusieurs organismes et entreprises travaillent presentement au Quebec dans la production de plans pour reamenager les rues et encourager les de placements a pied et a velo. La mise en ceuvre de ces plans demeure toutefois difficile dans plusieurs cas. Pourquoi ? Le projet ici propose se penche sur cette question en examinant differentes demarches […]

L’entreprise DARE-IT Technologies fabrique des matrices de microphone IP pour des applications de surveillance. Les centres carcéraux cherchent une solution abordable afin de faire la détection, la localisation, la classification et le suivi de potentielles intrusions dans les airs (par l’usage de drones) pour permettre l’interception de colis illicites. À cette fin, DARE-IT réalisera une […]

Positional plagiocephaly is an increasingly common form of cranial deformity in infants, affecting approximately 40% of infants under the age of 1. While it is not associated with developmental defects or learning impairments, there can be long term aesthetic implications for deformity that is not appropriately addressed early in life. Early identification of plagiocephaly and […]

Mon séjour de recherche s’organise autour de ma thèse de doctorat, en cours de rédaction, qui interroge l’oeuvre de l’écrivain français Pierre Michon en tant que fabrique de la transcendance, dans le rapport qu’entretient cette transcendance avec l’art du XIXe siècle. Le premier volet du séjour sera consacré à la rédaction de mon deuxième chapitre […]

Les discussions sur les questions identitaires et de justice sociale (Réconciliation avec les Premières Nations, des mouvements comme Black Lives Matter, etc.) sont omniprésentes dans le contexte québécois actuel. En reconnaissant l’importance de ces enjeux, les universités changent aussi leurs pratiques en recherche auprès des sujets humains, mais il faut encore que ces pratiques soient […]

In recent decades, the number of wild Atlantic Salmon returning to rivers of Eastern Canada has declined to unprecedented lows. One conservation effort by the Gespe’gewaq Mi’gmaq Resource Council (GMRC) was the construction of various sedimentation basins on Little Main Restigouche near Saint Quentin (NB). These basins are designed to prevent potato fields sediment from […]

The broad goal of this project is to create and implement a system which is able of assessing and classifying skin burns (and other types of skin lesions/wounds) using different state-of-the-art machine learning models and techniques such as EfficientNets, Reinforcement learning, saliency mappers, CAM, etc… The work that will be completed during this internship will […]

Carbon nanopearls are an exciting novel class of materials that present unique characteristics, and they turn out to be an excellent alternative to carbon nanotubes for different applications. Presently they are experimented with success as material for cold cathodes for electron-beam based instrumentation applications and they can be used for the development of polymer nanocomposites […]

Early onset scoliosis (EOS) leads to severe, progressive three dimensional deformity of the spine in growing children, which is corrected either by external bracing or surgical placement of rods adjacent to the spine. Mice deficient in signaling through the type three fibroblast growth factor receptor (FGFR3-/-) develop scoliosis by four weeks, which worsens progressively with […]

Ce projet de recherche porte sur les pratiques de gestion des revenus en restauration en période de reprise à la suite de la pandémie Covid-19, plus particulièrement pour les restaurants qui offrent un service complet. Les restaurateurs ont l’une des marges bénéficiaires les plus faibles de l’industrie hôtelière et en cette période de reprise, ils […]

Using Simmunome simulations, researchers and companies can predict the likelihood of success or failure before embarking on, or continuing with, costly clinical development programs. We focus on understanding the biological system and applying this towards higher accuracy in disease simulations. We achieve this by using different types of data from various public and proprietary sources […]

In this project, we propose a modular continual learning approach to face the problem of catastrophic forgetting and transfer in learning from evolving task distributions. Concretely, we propose a model that learns how to select most relevant modules based on a local decision rule for a given task to form a deep learning model for […]