L2M – Auto Byuing Companion

This project aims to develop AutoBuyingCompanion (ABC), a digital advisory tool that helps Canadians make informed car-buying decisions. By processing user requirements, car specifications, and cost of use, as well as environmentally responsible usage, this project will provide recommendations on the most suitable models. By incorporating data analytics with insights from artificial intelligence, this project […]

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Solving the Distributionally Robust Split Delivery Vehicle Routing Problem via exact methods

This Mitacs Globalink project, part of the PhD thesis titled “Robust Optimization for Logistic Problems,” aims to develop new optimization techniques for solving the distributionally robust split delivery vehicle routing problem under uncertainty. In split delivery routing, customer demands can be served in multiple partial shipments rather than a single delivery, an approach that can […]

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L2M – Market Validation and Commercialization Assessment of Sustainable Activated Carbon Produced Using a Novel Production Method

This project focuses on validating the market potential and commercialization pathway for a sustainable activated carbon product produced using novel pyrolysis of Brewer’s Spent Grain (brewery waste). The work will assess customer segments, value propositions, production feasibility, cost structure, and pilot-scale readiness for Maple Carbon Technologies Inc. The internship will generate evidence-based insights to support […]

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L2M – Polycoat Flooring

The proposed technology, called polycoat flooring, aims to ease the electricity bill of Canadian households through no added effort, simply by harnessing otherwise wasted mechanical energy and transforming it into usable electricity. Through a simple and highly intuitive installation process, this product provides an alternative aesthetically pleasing flooring option that generates electricity by simply walking […]

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L2M – TerraFire Intelligence Platform: An Integrated Solution for Predictive Wildfire Intelligence

Wildfires create serious threats to communities, infrastructure, and natural environments across Canada. Many regions face fires that grow faster and burn hotter due to climate change, dry conditions, and limited access to real-time information. Current tools often fail to provide timely or accurate understandings, especially in remote or northern areas where ground reports arrive late […]

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L2M-Augmented Reality-Based Training System using Multimodal Language Model for Context-Aware Guidance and Activity Recognition in Complex Machine Operations

Many industrial companies still rely on traditional training methods and struggle to keep up with evolving skill requirements. These conventional approaches, such as manuals, videos, and classroom instruction, are ineffective in delivering the hands-on skills required to operate complex machinery. Our project introduces an Augmented Reality (AR) based training platform powered by Multi-Large Language Models […]

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L2M – SmartRail Hotspot Analytics Using Fiber Sensors

The proposed project will use existing telecom fiber installed alongside railways to monitor the physical condition of Canada’s aging rail network in real time. By attaching small Fiber Bragg Grating (FBG) sensors at key stress points—such as bridges, track curves, and transitions—the system will continuously measure strain, temperature, and wheel impacts without adding new cabling. […]

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L2M – Smart Concrete for Structural Health Monitoring (SCSHM)

This project explores the development and application of smart concrete an innovative construction material enhanced with advanced sensing and self-monitoring capabilities. Unlike conventional concrete, smart concrete integrates conductive or functional additives that enable it to detect stress, strain, cracks, and environmental changes in real time. This technology addresses critical global challenges by improving infrastructure durability, […]

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Grid integration, analytical assessment, and optimization of the KETTI-developed wind turbine.

The proposed project aims to establish a technical and scientific foundation for integrating KETTI’s innovative wind turbines into the Microgrid Research and Testing Facility at the University of Regina (UofR). The research involves three complementary subprojects: 1. Feasibility and Engineering Requirements Study — defining the integration framework, electrical and mechanical interfacing, and environmental conditions necessary […]

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Application of Advanced Oxidation Processes for Removing Emerging Contaminants, with a Focus on Anticancer Pharmaceuticals and PFAS from Water

This project focuses on the removal of emerging contaminants (ECs), including anticancer pharmaceuticals and PFAS, from water using advanced oxidation processes such as photocatalysis and UV-based treatments.It will explore how the molecular structures of these persistent pollutants influence their degradation pathways and the formation of transformation by-products. The internship integrates Concordia University’s environmental engineering expertise […]

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Microbubble-enhanced cold plasma activation for treatment of wastewater from food processing

To address the challenge of treating wastewater from food processing industries, researchers at the University of Alberta have developed an innovative, chemical-free technology using plasma-activated microbubbles. To improve this system for large-scale use, a postdoctoral researcher will join a world-leading fluid dynamics group at the University of Twente in the Netherlands. This international collaboration will […]

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