Circulating Tumour Cells and prostate cancer outcome II

According to the Canadian Cancer Society, an estimated 26,500 men will be diagnosed with prostate cancer in 2012 and 4,000 will die of it. New approaches are required to predict clinical outcome and personalized management of patients. Drs. Mal and Cayre will combine their two newly developed technologies and work towards obtaining a new solid […]

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Frontline organizations and emergency planning in the COVID-19 pandemic

Emergencies in inner-city neighbourhoods come in many forms—illness, fire, violence, homelessness. The COVID-19 pandemic is a different kind of emergency. It is a global crisis, and requires unprecedented changes to everyday life to protect all members of society. COVID-19 has highlighted many long-standing gaps in access to basic needs and has expanded understandings of basic […]

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What are the factors influencing the socioeconomic impact of COVID-19 among Canadians?

Beyond the devastating physical health crises, COVID-19 and its related social distancing measures has wreaked havoc on the economic-, mental-, and social-health of Canadians. The Association for Canadian Studies has been collecting behavioural, economic, and social data from Canadians weekly since March 9 and continues to do so. Our goal is to identify the socioeconomic […]

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An essential resource: Policy and planning for single-room occupancy housing

Despite the stigma attached to single-room occupancy (SRO) housing, it can provide good quality, low-cost housing. However, the high cost of upgrading to meet zoning and other regulations, and the low rents that tenants can afford, make it difficult to manage and maintain. As a result, SRO housing is always at risk of gentrification and […]

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Assessing and Identifying Indoor environmental Quality Gaps in Commercial Buildings using Wireless sensors and Big Data Analysis Tools

This project’s objective is to create a proprietary digital platform which will allow for a faster, more accurate diagnosis of a building’s indoor environmental quality (IEQ) – at a fraction of the cost of today’s industry testing rates. The project aims to ensure that data being collected can be properly categorized and analyzed, creating a […]

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Improving Q-RT-PCR screening for COVID-19 by tracking viral variants

This project will extend on our labs initial findings that current q-RT-PCR based screening strategies for COVID-19 patients can fall within variant regions of the SARS-CoV2 viral sequence and may potentially lead to false negative results. This project, in collaboration with BioXplor will lead to the development of online bioinformatics tool that will allow tracking […]

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Applying Machine Learning to Develop Meaningful Rail Condition Indices

Rail transit and freight rail properties apply rail grinding to maintain rail condition and ensure satisfactory performance of rail infrastructure systems. The proposed research investigates and applies a variety of computationally intelligent algorithms to establish useful relationships between rail corrugation, noise generation, and vibration. These relationships will support more timely and effective rail grinding interventions. […]

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Constrained dynamic pricing for airport parking reservations

To make best use of technology on available big data (e.g., airport parking reservation data), we design and develop an innovative big data science solution for constrained dynamic pricing for airport parking reservations in the proposed research project undertaken by the intern. From scientific point of view, such a solution is novel in the sense […]

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Acoustical Detection of Swallowing Aspiration

Swallowing dysfunction (dysphagia) is a common disorder in patients with neurological impairments, head/neck injuries or brain-stem stroke. Dysphagic patients lack the intricate coordination between the swallowing and the respiration functions, which results in high risk of food aspiration. The goal of this proposal is to develop a novel and non-invasive acoustic technology that can detect […]

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Development of whole-heart model-based cardiac shape and motion analysis using parallel computing multi-core CPUs and GPUs technology

According to Statistics Canada, cardiovascular disease is the leading cause of death in Canada, accounting for 72,338 or 32% of all Canadian deaths in 2004. To further reduce the mortality and morbidity rate of heart disease, significant improvements in the extraction of the clinical heart parameters, such as the change in shape and motion patterns […]

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