Commercialization strategies for academic drug discovery projects: From bench to start-up

Translation of scientific bench-top discoveries into a commercial enterprise can be one of the hardest transitions for academic groups. Additionally, there are very few therapeutic options for neurodegenerative diseases, and a great need exists for the development of new drug candidates to treat diseases, such as amyotrophic lateral sclerosis. Our proposal seeks to continue with […]

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Autonomous Cognitive Examination: A Validation Study

Timely diagnosis of dementia is a public health challenge within Canada. It is hoped that machine-learning empowered cognitive examinations might improve Canada’s response to the dementia population. This study proposed the validation of an automated cognitive examination, the Autonomous Cognitive Examination, which uses machine learning to evaluate users to evaluate previously difficult to assess inputs […]

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Lab2Market West: Advancing echocardiography scanning through multiview fusion using robotics and machine learning

Echocardiography is widely used for scanning cardiac patients to assess the health of their hearts. Despite its wide use, echocardiography suffers from a few limitations, including the limited field-of-view and longer scanning times. We propose a product using a collaborative robot arm to overcome these limitations. Our project allows scanning the heart from different locations […]

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A computer-vision assisted system for on-site construction to monitor safety and track productivity

Construction sites are accident-prone sites and despite numerous efforts to reduce incidents, they continue to occur. Among others, fall accidents, in particular, account for the majority of these incidents, necessitating the implementation of proper management strategies. Traditional techniques for providing safety and preventing accidents are adequate and appropriate for improving safety, however, they are not […]

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How the Ronald Lake Bison Herd (RLBH) interact with wetland meadows

The purpose of this research is to further the understanding of how wood bison (Bison bison athabascae) interact with wetland meadows. This includes examining the environmental factors that contribute to the structure of these wetlands, determining what environmental factors influence bison selection of foraging sites within individual wetlands, and showing to what extent individual bison […]

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MNL Municipalities Fiscal Framework Benchmarking Project

Designing the most effective and efficient source of revenue is one of the leading policy challenges in the municipal sector today. Generally speaking, municipalities own and operate 60% of the built public infrastructure in the country, but are limited to approximately 8% of the aggregate tax revenue generated in the country by all three orders […]

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Project Title – ezPT Technologies Ltd

Our company is developing an AI-powered clinical documentation platform. In the proposed project, the intern will assist us in building robust and scalable cloud-based web applications for operations carried out in Outpatient Physical Therapy clinics. They will support the design and security of our cloud infrastructure to comply with HIPAA and other privacy regulations and […]

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Data Science Consulting and Productionization

The intern would work on a project to develop a data science product for the retail/finance sector. By working on consulting projects and with our product development team, they would work to integrate the data science processes we use into a suite of products that helps clients manage and analyze their data in real time. […]

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Development of a support tool for product maintenance using augmented reality

Augmented Reality (AR) provides real-time interactive instructions to improve efficiency and accuracy of product maintenance processes. Although different methods have been proposed for the AR-based product maintenance, there is a lack of methods of automatic product disassembly and assembly planning under the AR environment. This project develops an AR-based tool for product maintenance instructions. The […]

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Domain incremental learning in forgery detection

Digital image forgery has become a worldwide pandemic, with many forms of forgery (e.g., insurance fraud, fake news, identity theft) negatively affecting our life. This effect could be attributed to the accessible costs of mobile phones and digital cameras, which has led to an exponential proliferation of digital images, and the availability of many image […]

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