Bats, Birds, Bees and Berries Project (BBBBP)-FARHA

Historically, the Anisininew were nomadic hunters and gatherers who spent part of the year on their ancestral trap lines during the hunting season, and the rest of the year on-reserve. They occupied a region from northeastern Manitoba to Ontario and southwards to Winnipeg. The Island Lake Anisininew communities face many challenges including, long-term evacuations from […]

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Assessing Railway Maintenance Intervals and Slow Order Management in a Low Traffic Climate-Sensitive Freight Railway Corridor

The impacts of permafrost thaw on northern railways can lead to temporary speed restrictions (“slow orders”) imposed to mitigate operational risk until permanent remediation works are completed. These slow orders cause unpredictability in nominal train operating speeds and ultimately affect the reliability of long/heavy trains operating across successive slow-ordered segments. Little is known about how […]

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West Broadway Community Land Trust Planning Internship

The West Broadway Community Land Trust (WBCLT) is launching in the spring of 2026 and will hold its first AGM in May. The organization is building a land trust model from the ground up that is suited to the housing market and community priorities identified in the WBCLT’s business plan and community planning sessions last. […]

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Improving Agricultural Supply Chains Through Rail-Based Transportation: A Comparative Study of Canada and Sri Lanka

This joint research project between the University of Manitoba and SLIIT Sri Lanka will explore how rail transportation can help improve agricultural supply chains in both countries. By comparing grain logistics in Canada with paddy and other crop supply chains in Sri Lanka, the project will identify practical, low-cost ways to reduce transportation costs, support […]

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Development of noncytotoxic peptide-based antibiotic derivatives against multidrug-resistant Gram-negative bacteria

The emergence and dissemination of antibiotic resistance is an escalating public health issue that requires immediate interventions. Among the essential agents in combating bacterial infections are peptide-based antibiotics. These naturally occurring or synthetic molecules exert potent antibacterial activity through various mechanisms such as membrane disruption, inhibition of cell wall synthesis, and immunomodulation. Despite their therapeutic […]

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Impact of plasma-activated water on extraction of proteins and bioactive compounds from novel food sources and their impact on gut microbiota

This project aims to develop innovative, sustainable methods for extracting proteins and phytochemicals from agricultural processing byproducts using plasma-activated water (PAW), a novel clean technology generated through high-voltage atmospheric cold plasma (HVACP). The study focuses on two plant-based materials: hemp meal, a valuable oil crop byproduct in Canada, and jackfruit processing waste, which is of […]

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Performance of wicking geosynthetics on pavements in cold regions

Excess water can damage roads by weakening the aggregate base soil or underlying native soils, from formation of ice in colder regions, and causing ground to swell where expansive soils are encountered. Relatively new products called wicking geotextiles can improve drainage and remove water through suction to prevent these causes of road damage. These products […]

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Remote-Sensing Diagnostic Approach for Modeling Potato Yield Variability

Remote sensing technology has been developing rapidly in the past few years, and agriculture research is utilizing this development through crop monitoring and assessment. The potato crop is very susceptible to climate change impacts such as drought, which require a real-time monitoring system that supports farmers to take quick and accurate actions. This research project […]

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Deep Learning Techniques for Crop Monitoring

In this project, we will investigate using artificial intelligence to assist farmers and insurance companies by providing information about farms based on our daily observations. AIRM has developed monitoring stations (Crop Sentry) that are installed on multiple farms in Manitoba, allowing us to monitor the crop on a daily basis. Crop Sentry units used lidar […]

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A Bayesian Optimized Multi Harmonics Index Approach for Fault Diagnosis of Gearboxes

The project aims to design and develop an algorithm that can diagnose faults in planetary and fixed-axis gearboxes. Common faults in gearboxes are often masked by the Gear Meshing Frequency, making them difficult to detect via classical spectral analysis. A multi-harmonic index approach based on an adaptive combined envelope spectrum is selected as the foundational […]

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