Designing a virtual gym with innovative grammar recognition to develop an individualized exercise platform for older adults

Virtial-Gym motion-tracking-based system to exercise regularly and safely at home, guided by the expertise of physical therapists who can remotely monitor their clients’ progress. The innovative exercise grammar that therapists can use to describe personalised exercise regimens for their clients. The therapist’s exercise specification generates a coach avatar demonstration to the client, monitors the movements […]

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Cultural Valuation of Innu Fisheries

As the Innu Nation in Labrador move towards finalization of their land claim, there exists a need to gather information about fisheries management and valuation within their traditional territory in order to inform the development of a future management strategy. This research will involve four phases to development a comprehensive review of existing literature and […]

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Shiga-toxigenic E. coli persistence mechanisms and surface biofilm detection using near-infrared spectroscopy on beef processing facilities

Contamination of beef by Shiga toxigenic Escherichia coli (STEC) is a major problem affecting the North American Beef Industry. Environmental cross-contamination, among other contamination sources, has been shown to play an essential role in meat adulteration. Therefore, this proposal is aiming: a) to determine the capacity of the top-seven STEC to survive and transfer from […]

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Develop data analysis software for improving operation management in making drinking water for small and rural communities

The project is to develop a middleware system for improving drinking water management system. The middleware integrates multiple data sources in addition to the real-time network data, including information of weather from satellite/ radar and water quality of surface water from remote sensing and then analyze them. It’s smart algorithms will predict and prioritizes events […]

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Design and Prototype Validation of a Bioabsorbable Flow Diverting Stent

An aneurysm is a balloon off a blood vessel in the brain, that could potentially bleed resulting in devastating consequences for the patient. Brain aneurysms a common, and are present in up to 7% of the general population. Traditional treatment of complex brain aneurysms involves placing a metal “flow-diverting” stent across the neck of the […]

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Blood flow within microfluidic conduits

A current area of focus at SMT Americas is to develop injection-moulding methods for medical lab-on-chip (LOC) devices, particularly to transport and process blood and plasma while eliminating conduits clogging and reducing sample loss. This project will evaluate the effect of flow conditions on viscosity of samples, and the adequacy of conduit structures achieved with […]

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Identification of blood-based biomarkers predictive of pulmonary exacerbations in cystic fibrosis

Individuals with cystic fibrosis experience recurrent episodes of worsen in respiratory symptoms, termed pulmonary exacerbations (PEx). Early identification of individuals who are at elevated risk of PEx can improve their clinical outcomes and rescue their lung function. In this project, we will collaborate with the Prevention of Organ Failure Centre of Excellence (PROOF) to develop […]

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A Clinical Proteomic Test for Patient Care

There are 2.6 million Canadians with Chronic Obstructive Pulmonary Disease (COPD). COPD is a disease characterized by progressive loss of lung function that leads to shortness of breath, poor quality of life, reduced productivity, emergency visits, hospitalizations and mortality. The World Health Organization estimates that COPD will be the 3rd leading cause of death worldwide […]

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Data-driven Assessment of Suicide Risk for Treatment Seeking Population

As part of this proposal the intern will be working with DME to develop and examine the viability of data-driven point-of-care system for the assessment of suicide risk. DME is a Canadian start-up company in the business of developing cloud-based point-of-care monitoring systems for the management of psychiatric illnesses. DME has developed algorithms to diagnose […]

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Improving Efficiency and Robustness of Model-based Reinforcement Learning

Model-based reinforcement learning allows AI systems to learn and use predictive models of their environments to plan ahead, achieving tasks more efficiently. The proposed project aims to (i) develop methods for identifying when an uncertain and/or flawed model can be relied on to make plans, and when it cannot, and (ii) implement a method which […]

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Improved Lateral Supports for Fresh Masonry Structures at Construction Site

Despite significant development of various construction materials, masonry is still considered as one of the most cost-effective materials. However, they are often vulnerable to wind-induced lateral loads caused during construction stage (within 1 to 2 days of construction) when the masonry is yet to achieve full strength. Temporary bracing systems are often used to support […]

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