Canada depends on seasonal snowfalls for much of its freshwater supply, and climate change is expected to have a major impact on the quantity, and quality, of available freshwater. However, the models that scientists use to make future projections of water availability are not perfect, which creates uncertainty in the exact future scenario that will […]

This project aims to facilitate interdisciplinary innovation between student with a background rich in clinical oncology & lymphedema experience with a biotech engineering startup to launch the world of lymphedema management into the 21st century. The proposed project will see the student working to inform the biotech company about what challenges exist in the world […]

MANTECH’s has business strategy is to complete direct experimental validation of the PeCOD patented technology in strategic sites in the Western Provices, Manitoba, Saskatchewan, Alberta and British Columbia. In Manitoba, this includes working with the University of Manitoba at the International Institute of Sustainable Development’s Experimental Lakes Area (IISD-ELA), in Saskatchewan, the Saskatchewan Research Council […]

Project Deep Breathe seeks to develop computer vision solutions that will aid in the use of lung ultrasound technology to accurately and easily diagnose lung conditions anywhere these portable machines can be brought. This will be done using large amount of lung ultrasound data at Western University and by employing artificial intelligence students from the […]

Fatigue damage and corrosion are of significant concern in bridge structures and can have grave consequences on public safety. In addition, bridge structures, such as the Jacques Cartier Bridge, that were built in the early 20th century can be more susceptible to damage as the bridge structures were not designed for current traffic load and […]

The generation and supply of energy is the largest anthropogenic source of CO2 and thus contributes significantly to climate change and the associated global consequences. As a result, a reduction of CO2 emissions in energy generation and distribution is an unavoidable key issue that must be addressed. In this research project, the main focus is […]

The COVID-19 pandemic has highlighted the need to combat infectious diseases and reduce their spread around the world. In particular, bacteria and viruses can survive on many common fabrics for days or even weeks, from which they can be transmitted to people or other surfaces. The proposed research project aims to develop a coating for […]

Mental health issues, such as anxiety and depression, are becoming increasingly common among children and adolescents, yet still only a small portion of youth receive the support they need. For these reasons, many community organizations have been focused on helping children develop the social and emotional skills which help to support children’s mental health and […]

Ontario, Canada has an extreme lack of affordable housing. This study intends to encourage holistic planning by understanding the community benefits of affordable housing projects. The goal of the project is to create an assessment framework which can be used by municipalities and housing organizations to value the benefits of affordable housing projects. These benefits […]

The Canadian Community Economic Development Network (CCEDNet) operates at the nexus of many social economy organizations in Canada and is leading the development of a platform for people to conduct social financing in Canada. Social finance involves investments which seek a measurable social or environmental impact in addition to generating a financial return for the […]

In waste-to-resource processes, variations in operating conditions are common, to accommodate varying process objectives and ambient disturbances. In these cases, well-tuned operating conditions are disrupted, and correlations among process and quality variables are broken, leading to unexpected outcomes. Due to large number of involved variables and their complex relations, it is challenging to re-tune system […]

Quantum Machine Learning is an emerging field of science, exploring the role that quantum computers can play when combined with machine learning models and methods. Within this field, kernel methods have quickly become one of the most promising and exciting techniques to show benefits in performance, even when using the current primitive quantum computers that […]