Reinforcement Learning Approach for Improving the Dynamic Response of Frequency in Low-Inertia Islanded Active Grids

The structure of power grid is changing due to the integration of distributed energy resources, especially the renewables and energy storage. These resources with power electronic converters provide additional controllability to grid operators and provide the capability of operating the interconnected gird as several active decentralized systems for enhancing system reliability and maintaining system resiliency. […]

Read More
TRLUP – ML Insights and Metrics

More than 90% of pharmaceuticals fail to impact fail to pass regulatory approval due to toxicity or lack of effectiveness. 50% of those failures have the potential to impact patient lives and existing therapeutics can be repurposed to expand therapeutic options if they can be delivered in smaller dosages to where they are needed most. […]

Read More
TRLUP – Intelligent Automation of Phased Array Ultrasonic Testing for Quantitative Defect Characterization and Evaluation

This project develops an intelligent automation system to revolutionize how we inspect safety-critical components in industries like aerospace, energy, and manufacturing. It focuses on Phased Array Ultrasonic Testing (PAUT), a powerful but skill-dependent method for finding hidden flaws in materials. Currently, interpreting PAUT data demands highly trained technicians to analyze complex signal patterns and images. […]

Read More
Developing open source user tools for Planet’s hyperspectral remote sensing data

This project will help make it easier for scientists and data engineers to work with a powerful type of satellite data called hyperspectral imagery, which captures detailed information about the Earth’s surface. While this data can support important work in areas like climate, agriculture, and environmental monitoring, it’s often difficult to use without specialized training […]

Read More
Phytoextraction of metals in leachate through crop irrigation

This project aims to explore the uptake of metals in leachate water by Tallwheatgrass phytoextraction. Leachate water is costly to treat and often requires off-site transportation. In addition to being cost intensive, this is also a high energy consuming process. By utilizing phytoremediation, we can provide a sustainable, affordable, and environmentally friendly alternative to shipping […]

Read More
Transforming Vacant and Derelict Infill Properties into Affordable Housing Opportunities

This project addresses the growing challenge of vacant and derelict properties in Winnipeg’s Spence Neighbourhood by exploring practical strategies to convert them into affordable and sustainable housing. The research will examine the main barriers to housing redevelopment, including high construction costs, complex zoning regulations, limited financing, and low incentives for property owners to invest in […]

Read More
Smart Bearing Development by Integrating FBG Sensors with Temperature Compensation

Rolling bearings are essential components in rotating machinery. The growing demand for real-time condition monitoring has led to the development of smart bearings integrated with advanced sensors. However, conventional sensing technologies often suffer from limited sensitivity, a lack of temperature compensation, and installation difficulties. Fiber Bragg Grating (FBG) sensors offer a promising alternative, featuring high […]

Read More
TRLUP – AI Tool for Structural Health Monitoring using Thermal Imaging

This project will create an AI-based tool that helps engineers detect hidden damage inside concrete structures—like bridges or buildings—using special thermal images. Right now, most damage is only found when it’s already serious, which can be costly and dangerous. This new tool uses heat patterns to find early signs of damage, making inspections faster, safer, […]

Read More
Extrusion cooking of yellow pea starch- and fibre-based puffed snacks: Linking variability in raw materials to extrusion performance

This research project aims to develop nutritious, sustainable puffed snacks using yellow pea starch and fiber—valuable by-products of pea protein production. As Canada strengthens its plant protein industry, finding innovative ways to utilize these underused ingredients is essential for economic and environmental sustainability. Using advanced extrusion processing, this study will examine how different raw material […]

Read More
Development of Analytical Techniques for Assessing the Numerical Stability of Multi-rate Electromagnetic Transient (EMT) Simulations

Electromagnetic transient (EMT) simulations are often used nowadays for analyzing the transient behaviour of power systems. However, due to the large size and complexity of modern-day power networks, simulating them in EMT programs can become excessively slow. Multi-rate simulation is one of the effective ways of speeding up EMT simulations. In this approach, only critical […]

Read More
Advanced Matrix Computation Methods for EMT Simulations

Computer simulation of transient events in an electric power system requires advanced modeling and computational tools. Introduction of renewable resources, such as wind and solar power, has caused fundamental changes to our power systems, thereby rendering many of our existing simulation tools inadequate. This research aims to solve some of the underlying shortcomings of power […]

Read More