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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Predictive Timing in Speech and Music Production

The project tests musicians and non-musicians with auditory feedback perturbation paradigms in speech and music. In auditory feedback perturbation studies, speakers speak or sing a sequence into a microphone and hear their own productions via special in-ear headphones, while specific parameters in the feedback signal are altered in real-time. In the two speech conditions, parts […]

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Stratégies modernes pour synthétiser des liens C-S en chimie en flux continu

Ce projet de collaboration vise à développer de nouveaux procédés à flux continu pour produire des dérivés organothiocyanates. Ces motifs sont importants en chimie organique, notamment dans les principes actifs agrochimiques et pharmaceutiques. L’objectif spécifique du projet est de développer des stratégies durables pour synthétiser des cibles contenant des SCN méta-substitués. Ces avancées scientifiques permettront […]

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Evaluation of co-delivery of anti-cancer drugs using a handheld injection device

The goal of this proposal is we aim to develop an injectable drug delivery system for intratumoral delivery of a combination of an AXL-inhibitor and FDA-approved chemotherapy drug (e.g.Dox). AXL inhibitors in combination with chemotherapies that target the DNA of cancer cells is a promising approach for treating cancers. The device is integrable to a […]

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Machine learning based reconstruction for laser diode photoacoustic imaging

Photoacoustic (PA) imaging has shown great potential in cancer detection, tissue characterization, and therapeutic applications. Laser diode-based PA imaging is a new development in this field that can be used for image guidance, nerve or cancer imaging, and the localization of a needle target during biopsy procedures. The PA imaging requires very accurate time synchronization […]

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L’analyse automatique de la subjectivité dans les articles de presse en français du Québec

A partir d’un corpus d’articles de presse publiés au Québec en français, nous cherchons à comprendre les mécanismes linguistiques de la subjectivité dans les textes journalistiques. Notre objectif est de confronter l’efficacité des méthodes statistiques d’analyse de la subjectivité, basées sur la théorie linguistique, avec les performances inégalées mais peu transparentes des approches utilisant l’apprentissage […]

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