Assessing complex trade-offs across coastal adaptation alternatives: incorporating urban context, climate uncertainty and stakeholders.

As communities seek to advance their climate adaptation plans, deciding what projects to implement and when poses a significant challenge, particularly given the remaining uncertainties related to climate impacts, as well as dealing with limited resources for project implementation within communities. Using the Coastal Flood Adaptation Strategy of the City of Surrey, the proposed research […]

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Durability Analysis of Larger Photovoltaic Modules with Solar Tracker Systems towards Enhanced Share of Solar and Renewable Energy

Solar photovoltaics (PV) is currently the second-largest renewable energy after hydropower, producing 3.6% of the world’s electricity in 2016. To achieve caron neutrality, higher share of solar and renewable energy is required, and enhancement of durability of solar PV modules of larger size with tracker systems is the key. This research employs laboratory testing and […]

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Developing a high throughput in vitro method for testing pro-regenerative molecules

Multiple sclerosis is highly prevalent in Alberta and is characterized by loss of myelin (brain white matter) and myelin-producing cells, oligodendrocytes. This leads to neurodegeneration and symptoms like blurred vision, impaired cognition, loss of mobility and/or paralysis. Currently there are no treatments aimed to replace lost oligodendrocytes and myelin. This can be achieved by stimulating […]

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Comparing total tract lipid digestibility and fatty acid profiles of high-fat byproducts used in western Canadian beef finishing diets through a three-step in vitro method

Growing beef for consumption requires a high-energy diet. Fat is 2.25 times more energy dense than carbohydrates. To increase the energy in the diet, feedlot nutritionists will add high-fat ingredients to the diet. In western Canada, these sources were traditionally tallow, corn oil, or yellow grease, but byproducts from the ethanol and oilseed industries offer […]

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Stabilizing VSV and AdV Vaccines

Vaccines are inherently unstable and are stored in the refrigerator or frozen. This project aims to design a vaccine technology, using a viral vector, that would be much more stable and able to be stored at room temperature. This advantage would reduce the cost of transport and storage, especially in the case of stockpiling for […]

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Diet-ESP: Compressed Profile for IPv6/IPsec over the 5G Fronthaul

This research project aims to speed up 5G networks by making the way IPv6 and IPsec are used more efficient, especially over important critical interfaces in the Radio Access Networks (RAN). We plan to fully specify Diet-ESP, a simpler and lighter form of IPsec that takes up less space by using new compression methods. We […]

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Software development, integration, and testing of a 5G-based healthcare solution

The current healthcare system is struggling with maintaining quality and managing costs. With more older people and more cases of chronic illnesses, these problems are likely to get worse. By using the fast 5G network set up by Rogers at the University of Waterloo, along with medical monitoring devices from Mespere LifeSciences and the Tang […]

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Analyse de données pour la performance énergétique et industrielle

Le secteur industriel est le plus grand consommateur d’énergie au Québec, représentant environ 40 % de la consommation totale d’énergie. L’amélioration de la gestion de l’énergie dans ce secteur est un objectif essentiel, tant pour le fournisseur d’énergie et les clients, compte tenu des coûts de l’énergie, des impacts environnementaux et des ressources disponibles. En […]

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Latent Representations of Loan Delinquencies from Neural Networks for Decisioning Customers and Assessing Phone Call Strategies

During the previous Mitacs PhD internship (IT11500), a long short-term memory encoder-decoder (LSTM-ED) neural network survival model was developed to predict time to debt repayment for ATB collections customers. This model is novel from both methodological and practical perspectives. The LSTM-ED simultaneously predicts the probability that debt will be repaid within the first 90 days […]

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Kinetics of nickel metal extraction from mixed hydroxide precipitates (MHP) using high-pressure carbonylation

This project investigates the extraction of the critical minerals nickel and cobalt using vapour metallurgy (or Mond process) from a material called mixed hydroxide precipitate (MHP), a common feed material for the refining process produced from laterite nickel ore. MHP contains both nickel and cobalt in different ratios depending on the feed material source. The […]

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A Generative Artificial Intelligence Driven Decision Support System for Spatial Optimization of Terrestrial Nature-Based Solutions in Canada

The proposed research project aims to determine the optimal utilization of less productive agricultural land in Canada. The objective is to leverage the capabilities of generative artificial intelligence together with optimization techniques to decide where nature-based solutions, such as smart farming, tree planting, and natural area regeneration, should be implemented. Selecting the appropriate strategies for […]

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Assessing generalization training of the Puppet Academy system

A resource to measure collaborative practice and generalized learning within minutes needs to be easy of use, effective and provide intrinsic motivation to engage users. This project advances the company’s commercialization opportunities by expanding entry into larger organizations and provides an additional opportunity to expand market reach. In the future, the product can be used […]

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