Towards phenomenal and literal lightness in precast concrete MURB [Multi Unit Residential Building] design

3D concrete printing and the digital design processes associated with this technology are developing quickly across the world, both in academia and in practice, moving from the realm of the artisan to the early stages of automated manufacturing. How do architects engage this emerging new field that combines fabrication technologies with material in their design […]

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Optimized qudit-based computation schemes using optical neural networks

Since the onset of the digital age, the need to process tremendous amounts of data has become of critical importance for healthcare, financial, and government sectors. This has made information processing tasks increasingly complex, and thus far, there exists no realistic platform that can meet the stringent requirements of the computation industry, e.g., in terms […]

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Multi-Initiative and Latent Communications-Tolerant Controller for a Clean Uncrewed Surface Vehicle Tasked to Environmental Assessments

The outcome of the Project is an intelligent uncrewed surface vehicle or USV (free-swimming robot) that can deploy an underwater remotely operated vehicle or ROV (robot tethered to the surface vehicle) to survey and inspect the submerged infrastructure of offshore wind farms. Its advantages to Canada include its much smaller carbon footprint compared to the […]

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Thermal microgrid: An integrated energy system with low carbon technologies

Shortening the difference between where energy is generated and where it is being used, the need for heavy-duty transmission infrastructure could be avoided to reduce the amount of energy lost along the way and eliminate the impact of grid failure. The proposed project, a thermal microgrid, can connect alternative generation, renewable generation, rejected or waste […]

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Eutectic Electrolytes for Low-temperature Aqueous Zinc-ion Capacitors

Energy storage technology is critical for reducing greenhouse gas emissions and transitioning to renewable energy and should be designed to suit the cold environment in Canada. In collaboration with Atlas Power Technologies Inc., a B.C.-based clean technology company, Dr. Liu’s group will design and build an aqueous zinc-ion capacitor (AZIC) technology with high-power, intrinsic safety, […]

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Bio-surveillance and metabolic efficiency assessment and prediction using Artificial Intelligence via automated multispectral imagery in cattle production

This research project is intended to implement and evaluate a machine learning framework utilizing multispectral imagery to optimize protein production efficiency from two Canadian livestock industries, dairy production and beef cattle production. The assessment protocol will include the surveillance of pathophysiological conditions (e.g. bovine respiratory disease, mastitis, estrus detection), animal well-being (e.g. stress susceptibility, lameness, […]

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Development and validation of comprehensive testing strategies for engineered nanomaterials and biomaterials

The primary goal of this project is to develop a robust testing strategy that can be utilized by Vireo Advisors Canada to help industries and regulators assess the environmental and health safety of ENMs. To accomplish this goal, I will validate commonly used and recently developed cell-based assays for potential engineered nanomaterial (ENM) interference and […]

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Sélection et caractérisation d’un consortium bactérien aux propriétés antifongiques pour les cultures de tomate et de fraise

L’ensemble de la filière agricole est confronté aux maladies fongiques et les phénomènes de résistances face aux fongicides qui en découlent. Depuis 1990, des méthodes de Lutte Antiparasitaire Intégrée (LAI) tendent à faire évoluer les pratiques agricoles en prenant en compte l’apparition de ces résistances et les quantités d’intrants appliqués en champs pour prévenir les […]

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Conversational Modeling and Dialogue Generation for Consumer Understanding with Neural Techniques

Market research is fundamentally about understanding humans as consumers, in all their complexity and nuance. This fellowship will apply natural language processing techniques to the problem of representing consumer language, and generating conversational prompts intended to elicit opinions and underlying motivations which are pertinent to ad-hoc market research objectives. In partnership with Nexxt Intelligence Inc., […]

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Découverte d’anticorps thérapeutiques humanisés ciblant TMPRSS2 neutralisant les virus respiratoires

Les infections respiratoires virales sont une problématique importante pour les systèmes de santé mondiaux. Plusieurs virus respiratoires tels que les coronavirus, responsables notamment de la COVID-19, et les virus de type influenza responsables de la grippe mutent rapidement ce qui leur permet d’échapper au système immunitaire et de résister aux traitements. Conséquemment, nous voulons bloquer […]

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