Achieving optimal diagnostic accuracy with quantitative electrophysiology

This project will perfect current quantitative electrophysiology technique (qEEGt) based on multivariate spectral analysis of magnetic-electrophysiology recordings to provide sensitive biomarkers for its use in the Precision Brain Health, including diagnostic, prediction, and intervention. We will take advantage of the Bayesian statistics to produce novel solutions and solve the main unresolved problems of quantitative electroencephalography […]

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A Novel Bone Anabolic Treatment in a Mouse Model of Osteogenesis Imperfecta

Osteogenesis imperfecta (OI) is a heritable disorder that causes bone fractures. The drugs that are used at present help to decrease the number of fractures by about half, but most people with OI have many fractures despite receiving currently available treatments. Mesentech Inc has developed a new drug that has shown a strong effect on […]

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Device-free indoor activity detection and localization using Wifi signals

Creating smart indoor environments that detect and understand human daily life activities is attracting significant amount of attention, due to their huge potential impact on context-aware technologies. Aerial Technologies, our partner organization, is developing products that provide device-free indoor localization and activity recognition Wi-Fi signals generated by off-the-shelf Wi-Fi enabled devices. This project will use […]

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Imaging and spectral characterization of exosomes as carriers of Alzheimer’s Disease biomarkers in peripheral bodily fluids

We propose the development of tools that can help identify cognitively normal subjects at risk for developing Alzheimer’s Disease (AD). The tests will use small volumes of peripheral fluids (blood, saliva, urine). Our goal is to evaluate the potential of exosomes to be used as “carriers of AD biomarkers”. These markers will be essential for […]

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Student data and learning analytics: Anonymity, confidentiality, privacy

Feedback from students is considered essential to continuous improvement in teaching at all levels, particularly in learner-centered education. This project looks at universities’ privacy and confidentiality policies and frameworks on the use of student feedback data, to inform decisions on program/curriculum enhancements and resource allocations for student success. Data can be from monitoring what students […]

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The Formation of Devotional Communities in North India

As part of my doctoral studies at McGill, I will conduct archival research on the formation of bhakti (devotional) communities in North India. I will focus on the Ramanandi Sampraday, which formed around the fourteenth-century Hindu guru Ramananda and is still one of the largest ascetic sects in Hinduism today. There are many stories written […]

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Contrôle des interactions non linéaires dans les fibres optiques

Lorsqu’une impulsion lumineuse intense se propage dans une fibre optique, des interaction non linéaires surviennent et modifient le contenu spectral de l’impulsion. De façon imagée, l’impulsion lumineuse change de “couleur” à mesure qu’elle se propage dans la fibre. Ces interactions non linéaires sont étudiées exhaustivement depuis l’avènement du laser en 1960. Cependant, l’étude de la […]

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Characterizing the stability of claims in neuroimaging

In recent years there has been a growing focus on evaluating the reproducibility of scientific findings. In neuroimaging this has been explored with respect to the impact specific choices in analysis software have on the resulting claims and their ability to be replicated across datasets or other tools. The focus of my Ph.D. involves the […]

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Multiphysics modeling of novel electrical powertrain for medium-duty trucks

Electric motors for traction applications come in many types, but in-hub induction motor with concentrated winding is not one of them. This specific configuration is of high interest for Nordresa – an electric truck manufacturer based in Montréal, Canada. In effect, this motor type presents numerous advantages: because of the concentrated winding and the absence […]

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Techniques for Mapping, Analyzing and Improving Complex MultifunctionalProduct Development Processes

Existing methods and techniques for process mapping will be considered to develop a process framework which will be adapted to perform analysis and provide improvements to the process. Analysis techniques will be applied to detect redundant, duplicated or misaligned process activities. Results will provide means to assess and evaluate the discrepancies between the actual and […]

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Evaluating the influence of water fill level on the retort come-up time, temperature andheat distribution in water immersion/spray retorts

Thermal processing is a major method of food processing and involves heating of foods packaged in hermetically sealed containers to destroy pathogenic and spoilage microorganisms in the product. While safety and shelf-stability of thermally processed foods were the primary concerns of consumers in the past, today the consumer demand higher quality processed products. Rotary autoclaves […]

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