Kitigay: Indigenous food systems research with Brokenhead Ojibway Nation, Manitoba

This research documents the social impact of an Indigenous food systems development and education program called Kitigay. Kitigay means to plant in Ojibway to describe planting food but also ideas and education. This proposed participatory research supports farm and wild rice paddy design, implementation, training, and food product marketing in the First Nation of Brokenhead […]

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Evaluation of the antimicrobial activity of Hop aqueous extracts

This project intends to test the antimicrobial potential of hop extracts. Using different kinds of hops we will test our own extraction procedure (currently not in use industrially) against different types of bacteria and fungi to see if they can be used as an antimicrobial treatment. This antimicrobial treatment can be for both human use […]

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Examining access to and use of internet and risk of social isolation during COVID-19 pandemic among both younger and older adults with Intellectual and Developmental Disabilities in Manitoba

The use of technology is considered as a potential solution to cope with social isolation particularly during the strict restrictions of a pandemic (Government of Canada, 2020). The proposed study is aimed at examining access to and use of internet and risk of social isolation during COVID-19 pandemic among both younger and older adults with […]

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Deep learning models for compound design

Traditional drug development strategy is costly, tiresome, and labor-intensive. In the last decade, artificial intelligence (AI) technologies have shown promising results to overcome some of these limitations. However, these computational technologies still cannot efficiently generate novel drugs with expected properties for treating specific diseases. Here we will apply new generation of AI frameworks to design […]

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Developing an unbiased robust algorithm for objective diagnostic classification of most common types of dementia

Alzheimer’s disease (AD) and Alzheimer’s with cerebrovascular disease (AD-CVD) are the two most common types of dementia in elderly population. Differential diagnosis of dementia type in early stage is challenging due to overlapping symptoms and mixed etiologies. Current diagnostic techniques are invasive, expensive, or lack independent validation. An early detection of dementia type helps enabling […]

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Vison-based frameworks for automated robotic machining of aerospace composite panels

Canada is a global leader in the aerospace manufacturing industry. Canadian companies produce complex assemblies and system solutions including carbon fiber composite panels used in the body of airplanes. Manufacturing of such panels requires a significant number of operations such as trimming, drilling, and abrasion. Currently, some of these operations are performed manually, which is […]

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Ensuring Stability and Accuracy of Multi-rate Electromagnetic Transient Simulation

Real-time digital power system simulators are used for testing and debugging control equipment intended for field installation. They simulate the power network in ‘real-time’, i.e., the simulation computations are rapidly completed so as to retain synchronism with a real-world clock. This requires the level of complexity in different components of the network to be judiciously […]

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Designing a Great Slave Lake Fishery by Northerners for Resilient Futures in the NWT

The Great Slave Lake Fishery can enhance food security and food sovereignty for northern residents of the Northwest Territories as indicated in many Government of Northwest Territories strategic plans. The Arctic Research Foundation will work with a Post Doctoral Fellow based at the Natural Resources Institute, University of Manitoba, to engage northern residents and governments […]

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A Predictive Cluster-based Machine Learning Pricing Model

Dynamic pricing models create price by assessing total cost, demand, and timing to customize the price to the moment. The models enable both buyers and sellers to settle a price that is very custom to their specific needs. Bison Transport Inc. has a network model that monitors profit and a pricing engine that monitors margin. […]

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Community-based planning for a Just Inner-City Winnipeg COVID Recovery

Winnipeg’s inner city is home to low-income Indigenous, Black and people of colour communities that have long struggled with homelessness, poverty and the ongoing impacts of colonialism (CCPA-MB and CCEDNet, 2015; Silver, 2016). These challenges are now compounded by high COVID-19 rates and COVID-19-related barriers to accessing basic needs (CCPA-MB, 2020). Community-based organizations in the […]

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Nonlinear Time Series Analysis for Prediction and Characterization of Brain Epileptic Activities

This research involves mathematical analysis of the recorded brain electrical signals in epilepsy patients with the aim of developing a seizure prediction and classification system. The seizure is an abnormal activity of the brain cells that requires immediate medical attention. The process of recording brain signals is performed for clinical and diagnosis purposes by the […]

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Ultra Wide Band Antenna Design for Microwave Breast Imaging

Existing screening techniques for detecting breast cancer like X-ray Mammography, Magnetic Resonance Imaging (MRI), and Computer Assisted Tomography (CT) have some drawbacks, such as the inability to detect cancer at early stage, over sensitivity or requirement of breast compression. A new approach that has the potential to overcome these shortcomings is Ultra Wide Band (UWB) […]

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