Using Food Bank Client Data to Better Understand the Impacts of COVID-19 in Saskatoon

The SFBLC has been collecting detailed information on their clients and their socio-demographic and economics characteristics for more than five years. However, apart from collating overall summary numbers on things like user counts, which they report annually to Food Banks Canada, they largely lack the internal capacity to do a detailed analysis of this data […]

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Therapeutic Properties in Landscape Design

This research project aims to review, analyze and build upon the current body of knowledge concerning the therapeutic potential of landscape design. It will review the health outcomes of natural settings at healthcare facilities and examine the design processes behind these. Project partner Virginia Burt Designs is a leading practitioner in this aspect of the […]

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Food Convergent Innovation Canada Start-Up:Developing data and methods to support the digital backbone of the agri-food system in the Covid19 context

Food Convergence and Integrity (FCI) Canada is being formed to help agri-food companies mitigate the disruptions of Covid-19, increase interactions and innovations among Canadian agrifood companies and enable new agrifood business streams. Through its member platform, it will enhance resilience and competitiveness of the Canadian agri-food sector, resulting also in increased food security for Canadians. […]

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Digital Distribution and Online Resources for e-Learning

This research will help VUCAVU.com, a non-profit online streaming platform for independent Canadian film and video artworks, determine how best to serve a widening range of users and partners given growing interest prompted by COVID-19 restrictions. The primary focus will be on educational stakeholders who need online access to audio-visual resources due to significant expansion […]

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Design, Development, and Control of the Battery Management Systems (BMS) for Off-road Vehicles Built by Dumur Industries

The objective is to design, develop, and test the power system in a next-generation rough-terrain utility vehicle developed by Dumur Industries, with particular focus on the battery used and its own power management system. The vehicle propulsion is via tank-type tracks that transmit power from the front to the back wheels via continuous chain-type tracks. […]

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Semantic Search and Visualisation using Machine Learning and Natural Language Processing

This project tackles the issue of knowledge incompleteness and lack of domain coverage in resume and job posting matching caused by the exploitation of domain-general resources. A variety of co-operative semantic/ontological resources will be used to filter out irrelevant resumes. A two-way (candidate to job and job to candidate) semantic-based automatic suitability ranking is proposed. […]

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Development of advanced planning and estimating model for scaffolding manhour

Heavy industrial construction projects consist of oil refinaries which generally involve complex structures, large-scale sites, and large numbers of workers from different disciplines such as civil, mechanical, and chemical. These disciplines may require similar or completely different scaffolding systems in order for workers to not only access their working areas but also move material horizontally […]

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SARS-CoV-2 Genomics for COVID-19 wastewater tracking

This project aims to develop SARS-CoV-2 genomics tools to apply to the tracking of COVID-19 in municipal wastewater. Detection of SARS-CoV-2 genetic material in wastewater has been used to estimate prevalence of the virus in the corresponding community. This has the potential to be a relatively inexpensive early warning system that is complementary to testing […]

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Utilization of high pressure processing (HPP) to deactivate viruses and pathogens

Hospitals, diagnostic laboratories and medical research organizations have witnessed an upsurge in the generation of biohazardous medical waste during the COVID-19 pandemic. This waste is potentially detrimental to the environment and public health and needs to be adequately decontaminated and disposed. Incineration is the most routinely employed technique to treat biohazardous waste but the method […]

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Deep learning-driven strategies for COVID-19 Detection and Risk Stratification

A critical step in the fight against COVID-19 is effective screening of infected patients for infection detection and risk assessment. While viral testing such as rt-PCR is the gold standard for infection detection as it is highly specific, it is moderately sensitive and is a very time-consuming, laborious, and complicated manual process that is in […]

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Impact of Livestock Grazing on Grassland Herpetofauna

Grasslands cover approximately one third of the Earth’s surface but are among the most threatened and least protected habitats. Livestock grazing is one management strategy to restore degraded grassland ecosystems, but little is known about the effect of grazing on grassland reptiles and amphibians (herpetofauna). World-wide, herpetofauna are in decline and may be particularly susceptible […]

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