Relations interpersonnelles et cognition

Ce projet de recherche vise à mieux comprendre l’impact des relations interpersonnelles sur le fonctionnement cognitif. Plus précisément, le projet de recherche porte sur le biais de conformité, considéré par les chercheurs comme responsable de la polarisation des opinions, notamment politiques, et de l’extrémisation des idées dans la société actuelle. Malgré l’influence importante de ce […]

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Rhythmic cues with biological variability for improving gait

In this project, the goal is to manipulate the temporal variability of rhytmic auditory cues to test its effect on gait in young adults. Young adults will walk alone without any auditory cues and then will walk to the sounds of rhythmic sequences. The rythmic sequences will either be isochronous, random (non-biological variability) or fractal […]

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Évaluation automatique du niveau de maitrise d’une langue seconde

Le but de ce projet est la création d’un outil permettant d’évaluer automatiquement le niveau de maitrise d’une deuxième langue via l’utilisation de l’intelligence artificielle. L’intégration de l’intelligence artificielle dans un pro-cessus d’évaluation permet de réduire les aspects humains de la prise de décision. En effet, le jugement d’une personne peut être affecté par différent […]

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Écophysiologie de saules et de peupliers en sols pollués

Ce stage prend place au sein d’une équipe spécialisée en phytotechnologies, une science qui utilise les plantes comme outil pour répondre à un large éventail de problèmes environnementaux. Un exemple de phytotechnologie est la phytoremédiation, un procédé de décontamination qui se base sur la capacité des plantes à extraire, dégrader ou immobiliser les contaminants dans […]

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Sensing with Plasmonic Micro/Nanocapsules

In the context of an aging population and a global environmental pollution problem, it is becoming more and more important to develop novel innovative kinds of sensors, able to detect early health and environmental changes that could potentially affect people’s health. Within this Globalink Research project, we intent to develop plasmonic based sensors, small, cheap […]

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Sensing with Plasmonic Micro/Nanocapsules

In the context of an aging population and a global environmental pollution problem, it is becoming more and more important to develop novel innovative kinds of sensors, able to detect early health and environmental changes that could potentially affect people’s health. Within this Globalink Research project, we intent to develop plasmonic based sensors, small, cheap […]

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Evaluating and learning from a mind-body medicine course: A mixed methods study (1)

This project learns from the experience of participants in an eight-week Mind-Body Medicine program (MBM). Mind-Body Medicine (MBM) teaches people how to help themselves by uncovering and engaging their inner resources and building resilience, broadly understood. The eight-week MBM program is delivered through the Iris Centre for Mindfulness, Peace and Healing in Fredericton. The research […]

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Transport, technologie et handicap à l’ère du numérique: Analyse comparée de l’accès inclusif à Tokyo et à Québec

L’objectif général de ce stage Globalink – d’une durée prévue de 12 semaines – est de réaliser une analyse comparée de l’évolution de l’accès inclusif à Tokyo et à Québec. L’analyse se concentre sur les facilitateurs et les obstacles rencontrés par des personnes ayant une incapacité motrice dans l’accès et l’utilisation d’écosystèmes de mobilité urbaine. […]

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Conductive polymer deposition for textile strain sensors

Body movements are an important biomedical parameter that can be measured using wearable devices. Notable applications of wearable sensors range from monitoring individuals suffering from loss of autonomy to monitoring athletes’ performance. These movements can include breathing, speech, limb motion as well as heartbeat. Accurate measurement of these movements requires precise and sensitive strain and […]

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Hierarchical Connectivity Maintenance in Swarm Systems

The organization and control of swarm systems have been either completely decentralized where all the robots use only local observation and simple rules for coordination and cooperation which leads to emergent behavior. There are advantages to using this decentralized paradigm such as redundancy, scalability, and simplicity, but such systems tend to be slow and difficult […]

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Deep Learning Models for Principled Causal Forecasting

Numerous Machine Learning (ML) tasks are forecasting problems, used to make downstream decisions. Acting on ML forecasts however can changes the distribution of observations relevant to the forecast. The implication is downstream decision optimization procedures implicitly expect the ML model to generalize outside of the observational distribution. Unfortunately, this is often not the case, and […]

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Developmental Evaluation of the STAR Recovery Centre

This research project centres on a new recovery centre for vulnerable adults with complex mental health and addictions issues in Toronto. Recovery is an approach to mental health that values personcentred care and self-direction. Recovery centres are educational centres, based in the community, that provide programs that help people live normal, meaningful lives in their […]

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