Intelligent Chatbot Development for the Tourism Industry

This research helps to automate ontology development in order to support semi-supervised and active learning chatbot as much as possible, so that the overhead of chatbot training that requires human supervision is minimized, while relevant knowledge management activities become more efficient. The research objectives are both to refine the quality of the chatbot interactions and […]

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Impact of Wind Energy Turbines on Bat and Bird Mortality

In this MITACS-funded project, a postdoctoral researcher will work with partners at Trent University and Bird Studies Canada to expand our understanding of how wind turbines affect birds and bats. We will leverage an extremely detailed database on wind-wildlife interactions that is managed by Bird Canada. Using these data, we will investigate whether bat and […]

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Development of the Global Matrix 4.0 Physical Activity Report Card Grades for Children and Youth

Physical inactivity is a growing global health crisis, with childhood physical inactivity being of particular concern. The Global Matrix 4.0 Physical Activity Report Cards for Children and Youth is an initiative aimed at promoting global childhood physical activity through international collaborations. The goal of this project is to further the global promotion of childhood physical […]

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Micro-Histories of Transnational Humanitarian Aid: Co-Creation of Knowledge, Policy, and Education Materials

This project will involve the research and production of micro-histories of non-profit humanitarian organizations based in Canada. By examining small moments in the foundation and work of these organizations, our goal is to contribute to a better understanding of the role of Canadian civil society organizations in international humanitarian programs. Our partners work in a […]

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Anticancer activities and drug-drug interaction of extracts from long pepper, rosemary, lemongrass and white tea with chemotherapeutics

Natural extracts have potential as anti-cancer therapeutics. These botanical materials are well tolerated and are safe to be given as supplements over long periods of time. This project aims to provide scientific and clinical validation of these extracts for their anticancer effects and sensitization of cancer cells to standard chemo regiments. Synthite Industries Inc., a […]

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Ultrafast laser nano-structuring in transparent glass: enabling 3D fibre-photonics packaging and assembly for high temperature sensing

This MITACS project addresses a significant barrier the partner company (Fibos Inc.) is facing with their current customers in manufacturing of fibre optical sensors that can be robust and cost effective for the high temperature and pressure environments. The market is aimed at sensing of rotor assemblies in turbines where electrical and other means of […]

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Development of novel catalytic systems for green-house gas abatement

The use of fossil fuels for energy has led to the significant emission of greenhouse gases from the stationary and automobile sources. Methane (CH4) is an abundant source of fuel found in large quantities in natural gas reserves or produced synthetically is an alternative fuel for motor vehicles, large track transportation, marine application because of […]

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Finances of the Nation: Data-driven policy analysis for Canada

The project will foster high-quality analysis of taxation and other public policies in Canada. We will assemble data on public finances of governments in Canada and, to make them more useful for policy analysis, we will transform the data to make them consistent over time and across geographic units of Canada. We will make the […]

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Development of a softab nutraceutical formulation

Softab Technologies is a fast-growing company in Windsor, Ontario that is developing new formulations and methods to provide nutraceuticals: vitamins, natural extracts, and minerals in a revolutionary new form of chewable and dissolvable gel. They are working with a research team in the Department of Chemistry and Biochemistry at the University of Windsor to refine […]

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Machine learning classification for pump fault and failure detection

This project aims to develop an automated ability capable of detecting faults with pumps. This is referred as “Automated Fault Detection and Diagnosis” (AFDD). Equipment performance begins to worsen throughout time due to various reasons, where these reasons are referred to as “faults”. Generally, there is an understanding of the various faults and causes for […]

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Enhancing Hyperspectral Image Quality for Chicken Eggs Using Unmixing Approach

The current non-destructive and fast method of hyperspectral imaging technology for the chicken egg-related problems in agri-food processing suffers from the quality of acquired hyperspectral images. Therefore, the results of all existing attempts to deal with those egg-related problems (e.g., freshness, grading eggs, fertility detection and distinguishing abnormal eggs) can be improved since they are […]

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Assessing the lice cleaning efficacy and diet of lumpfish in Canadian Atlantic salmon sea cages using metabarcoding and conventional diet analysis

The salmon aquaculture industry is a highly profitable industry, known to contribute significantly to the Canadian economy. During this time an ectoparasite called the sea louse may infect the salmon leading to animal welfare concerns a significant economic loss. Lumpfish are a species of cleaner fish used as a biological control for sea lice and […]

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