This project investigates the intersection of classical literary description (ekphrasis in ancient Greek) and modern accessibility tools to improve how visual media is shared with the blind and low-vision community. By analyzing ancient techniques of “verbal picturing” alongside current international standards—such as the Accessible Canada Act and ABNT guidelines—the research aims to develop more evocative […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

This project investigates the resistance of Winnipeg bedbug populations to chemical insecticides and evaluates the effectiveness of locally developed Beauveria bassiana formulations, addressing critical gaps in our understanding of fungal susceptibility and informing the development of targeted, eco-friendly pest control strategies.

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 […]

This project explores a new approach to indoor localization using retroreflective Reconfigurable Intelligent Surfaces (RIS). Unlike conventional RIS that actively steer signals, retroreflective RIS naturally send radio waves back toward their source while still allowing programmable control. This creates stable and energy-efficient signal paths that can significantly improve positioning accuracy in cluttered or dynamic environments. […]

This project focuses on developing an automated decision making system for Phased Array Ultrasonic Testing (PAUT). Our goal is to reduce the industry’s reliance on manual defect evaluation. PAUT is standard in aerospace, nuclear, and manufacturing sectors for checking safety critical components. However, current practices depend heavily on a technician’s experience to interpret complex scan […]