Can computer vision technology be employed for accurate, unobtrusive, non-invasive, objective measurement and quantification of maternal sleeping position across the third trimester of pregnancy in the home setting?

Recent research studies have pointed to sleeping on the back in late pregnancy as possibly increasing the risk of serious problems pregnancy such as low birth weight and delivering a baby that died in the womb (stillbirth). However, because it is impossible to completely and accurately recollect one’s body position while sleeping, these studies are […]

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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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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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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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Research of the Chemicals of Concern Within the Finished Products Sold by Teknion

This research will investigate the chemical content in the furniture sold by Teknion. The presence of chemicals of concern and their associated potential human health risks will also be determined using guidelines approved by Health Canada and other jurisdictions. The findings from this research will enable Teknion to formulate evidence based guidelines for reducing their […]

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Stable Manipulation with Offline Model-based Reinforcement Learning

In this project, we would like to study the problem of object manipulation in a real-world scenario. We assume three major settings in the environment – the object is non-rigid, oniy offline dataset is available and the input is high-dimensional images which are hard to be handled by classical control models. Recent successes in deep […]

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Hypatia-Learn: State of the Art Mathematics Learning and Tutoring System

The project revolves around reading and understanding students solution to various mathematical problems. We wish to analyse the work done by students and the solution to these problems and provide math checking capabilities to various types of problems. Furthermore, this project looks to construct a virtual tutor that can analyse students work and provide feedback […]

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