Developing Mixed-use Affordable Communities: Identifying Opportunities for more Sustainable and Affordable Suburban Development in the Greater Toronto and Hamilton Area (GTHA)

This research project builds on a strong partnership with Parallel Architecture, an architecture and planning firm interested in exploring the role of private city-builders in redressing the housing affordability crisis and finding progressive ways of leveraging current federal, provincial, and local policies. This project seeks to examine: (1) how can new mixed-use suburban development meet […]

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Improving Effective Collaboration Between Sponsorship Agreement Holders (SAHs), Constituent Groups (CGs) and Co-Sponsors in Canada’s Private Sponsorship of Refugees Program (PSR)

The proposed research seeks to learn more about the ways Sponsorship Agreement Holders (SAHs), collaborate with Constituent Groups (CGs) and Co-sponsors to sponsor refugees to resettle in Canada. For this project, the Canadian Unitarian Council (CUC), will be used as a case study. Given the limited capacity and resources that SAHs have available to them […]

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Greenland shark bycatch mortality and mitigation in Canadian Arctic fisheries

Accidental fisheries catch ? or bycatch ? is a critical issue for conservation and fisheries management. Greenland sharks are a common bycatch in northern fisheries and are of concern because they are long-lived and may be vulnerable to overfishing. The proposed research addresses current data gaps related to Greenland shark bycatch through the following objectives: […]

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A DNA-based approach for evaluating the impacts of wood waste on benthic biodiversity

Coastal habitats are critical for the health, livelihoods and social well-being of Canadian communities. In British Columbia, log handling and storage areas create wood waste that falls to the seafloor and does not decompose, degrading important habitats and substantially reducing the number of species can live there. To manage the impacts of habitat degradation, it […]

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Design and Development of the Mortgauge Payout Evaluator API

At Mortgauge, we want to make it easier for Canadians to build wealth as homeowners. Through this project, we will research and develop enhancements to our Payout Evaluator tool in order to further empower our users to act on opportunities to save on mortgage rates or leverage their home equity to build wealth. We will […]

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Adversarial Robustness of Deep Learning Algorithms on Next-Gen AI Accelerators

Neural Networks play a key role in many modern technologies such as self-driving cars, drones, malware detection, and face recognition. For each of these technologies security and reliability is paramount. Unfortunately, researchers have shown that it is possible to reliably fool the neural networks behind these applications. Which makes identifying the best methods to defend […]

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Development of multilayer composite systems via co-extrusion process

Extreme conditions in Oil and Gas industry often impose conflicting demands for the optimum mechanical properties as well as long term corrosion resistance. The internal and external side of the pipeline are usually exposed to different environments and are required to possess different characteristics. It is difficult to find a single material to satisfy all […]

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Automated Domain Specific Essay Scoring

Blees AI is an educational innovator who believe in transforming and improving the teaching experience and in turn positively impact students learning and maximize their potential. The goal of this project and the company is to provide a complete version of the software platform to the educators to assist their essay grading. Blees AI’s client […]

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Developing MVP Driven Cloud Service Space

Smartphones are becoming a combination of a mobile phone, a digital wallet and mini personal computer all rolled into one place which adds to the need for such virtual space. Virtualization of space or what is generally known as Mobile Virtualization Platform (MVP) include servers, storage and applications into a single solution to eliminate complexity, […]

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Gameplay Test Automation with Reinforcement Learning

To ensure high performance for AMD’s graphics cards, the company performs extensive testing on computer game titles. Most gameplay testing is done manually, which results in significant effort and cost expenditure. Thus, this project’s objective is to develop a program capable of learning to automatically play a modern video game. Rather than aiming to optimize […]

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Data analytics in asset management of erosion control structures

The project aims to study the use of advanced machine learning algorithms to enhance the ability of TRCA to detect shoreline erosion. Accurate detection of shoreline erosion will have significant contribution to optimizing TRCA asset management plans. This will enable TRCA to work with local communities to reduce the impacts of climate change on shoreline […]

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