Control of Imploding Metal Liners

This project will help the industrial partner design tests to prove a concept for fusion energy production. In the tests, metal cylinders (and other shaped liners) are dynamically collapsed to compress a high temperature plasma to fusion conditions. This highly dynamic event, however, may result in some of the metal from the cylinder contaminating the […]

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A ubiquitous positioning solution for head-mounted sensors

While GPS has become the de-facto standard for positioning, its availability and accuracy are hindered by attenuations. Positioning using vision-based systems is becoming an attractive solution due to its infrastructure-less architecture and its wide integration into portable devices. This work aims to develop novel vision-based algorithms for head-mounted sensors that would solve various problems such […]

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A ubiquitous positioning solution for head-mounted sensors – Year two

Recent advancement in computer vision and sensing technology has shown great potential for autonomous vehicles. This work aims to studies using an Augmented Reality heads-up display to improve the reliability of Advanced Driver Assistance Systems (ADAS). The algorithms developed will help drivers detect obstacles e.g. pedestrians crossings, improve current lane departure warnings to allow a […]

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Next Generation Selective Nanocomposite Fibrous Membrane for Energy Recovery Ventilators

Heating and cooling in residential and commercial buildings account for 20% of total energy consumption in Canada. Conditioning indoor air using less energy is closely associated with minimizing production of greenhouse gases and making a sustainable global environment. In this study, we apply a nanocomposite fibrous membrane for an energy recovery ventilator (ERV). Heat and […]

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Next Generation Selective Nanocomposite Fibrous Membrane for Energy Recovery Ventilators – Year two

Heating and cooling in residential and commercial buildings account for 20% of total energy consumption in Canada. Conditioning indoor air using less energy is closely associated with minimizing production of greenhouse gases and making a sustainable global environment. In this study, we apply a nanocomposite fibrous membrane for an energy recovery ventilator (ERV). Heat and […]

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Évaluation de l’utilité clinique d’une méthode de dépistage du sang présent dans l’urine de chat

Actuellement, au delà de 8 millions de chats vivent dans les foyers canadiens. Plusieurs maladies induisent des pertes de sang dans l’urine et, par conséquent, celle-ci peut être un indicateur de problèmes de santé potentiellement graves telles que des infections microbiennes et diverses maladies du rein. La Dre Élodie Khenifar, vétérinaire aux études supérieures à […]

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Desvenlafaxine in Opioid-Dependent Patients

NATURE AND OBJECTIVES OF THE PROJECT Patients who suffer from addiction to opioids often experience depression. Furthermore, data concerning the use of effective medication to treat depression in patients addicted to opioids is insufficient. Desvenlafaxine is an antidepressant that has been approved in Canada to treat depression within the general population. We hereby intend to […]

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Étude sur la clarté à la surverse d’un décanteur

L’objectif de cette étude est d’analyser les paramètres physiques et d’opération qui contrôlent la clarté à la surverse dans un décanteur dans le but d’y abaisser la concentration solide. L’étude comprend deux volets : l’un théorique qui consiste au développement d’un modèle mathématique et l’autre expérimental pour la validation et la caractérisation. Le modèle mathématique […]

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Human Motion Inverse Optimal Control Constraint Learning and Inertial Measurement Unit Sensor Design for Rehabilitation

During physiotherapy a continuous assessment and progress tracking of a patient’s performance is of clinical interest. In this project, based on the promising results from the initial prototype, we will redesign the wearable sensors to improve tracking accuracy, communication speed and robustness, incorporate onboard data storage and computation, and minimize cost and size. Furthermore, we […]

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Novel Approaches for Practical Machine Learning

Machine learning is a subfield of artificial intelligence that aims at producing computing models from observations (data), with no explicit coding made by humans. Recent advances have illustrated a strong potential of machine learning, with the potential of being a disruptive technology in many domains. For the current project, we are investigating techniques for making […]

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Investigations in real-time spinal magnetometry using magnetoencephalography (MEG) for therapeutic biofeedback

Oscillatory neuronal activity can be quantified to help diagnose states of health and disease in the brain. These activities change on a fast time scale of milliseconds, which can only be captured by direct measurement of the brain’s electromagnetic activity. This is accomplished utilizing MEG and EEG technology, which can measure non-invasively these fast changes […]

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