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- Potatoleaf Doctor( AI model for potato leaf detection)

Agriculture supports food security for 60% of the global population, with potatoes, the 4th most consumed crop, feeding around 1.5 billion people daily (Afakh et al. and LeCun et al.). Canada produces about 5.7 million tonnes of potatoes each year, making it the 12th-largest producer in the world. The country’s potato exports generate around $1.6 […]

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L2M-Designing a Stable CD19 Protein Mimic for CAR T-cell Therapy

CAR T-cell therapy is a type of immunotherapy that displays remarkable potential to treat B-cell cancers. In this treatment, a protein on the surface of B-cells called CD19 is targeted, allowing for the specific killing of B-cells in patients. However, CD19 is a “difficult to express” protein, characterized by high levels of aggregated protein and […]

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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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Metis Family Services – Digital Transformation of HR File Systems: Designing and Implementing a Compliant HRIS

Métis Family Services is a delegated child and family services agency that provides culturally grounded safety, support, and community services to Métis children, youth, and families across Surrey and the Greater Vancouver region. As the organization expands its programming and workforce, it faces a critical innovation challenge: the transition from a paper-based human resources file […]

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L2M – Integrated Data Science Platform for Complex Spatiotemporally Resolved Biomedical Applications

Reliable annotations set critical ground truths for modern data science initiatives. In life sciences, however, large volumes of physiologic data streams produce computational bottlenecks that hinder this workflow. A researcher’s only viable alternative is to adopt a DIY approach, exporting data to separate coding environments. This fragments the analysis from the visual context and corrodes […]

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Santevia Water Systems Inc. – Designing Performance-Driven Digital Content to Enhance Marketing Innovation

Santevia Water Systems Inc. is a Delta-based organization that designs and manufactures mineralized alkaline water filtration systems that promote wellness and sustainability. As a growing Canadian brand competing in the global wellness and home water filtration market, Santevia continuously strives to connect with health-conscious consumers through engaging, educational, and visually appealing digital content. However, the […]

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L2M – Phase-noise reduction technique for microwave oscillator

The proposed project will explore how our new low-noise microwave oscillator technology can meet real needs in radar and communication systems. We will interview industry experts to understand what performance, environmental reliability, and cost requirements are most important for practical use. At the same time, we will work with manufacturers to see whether our design […]

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L2M – GutSight

This project will help develop GutSight, a new test to monitor inflammation in people with inflammatory bowel disease (IBD) without relying only on colonoscopies. Over four months, I will improve the way we measure gut biomarkers, strengthen the computer model that predicts disease activity using data from 400 patients, and do basic research on how […]

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L2M – Molecularly imprinted polymers optimized by Hansen solubility parameters for the extraction of phenolic compounds from water samples and water safety monitoring by LC-MS

Monitoring water quality is essential for protecting public health and the environment, yet many harmful pollutants remain difficult and expensive to detect. Among them, phenolic compounds commonly released from industrial activities are persistent, toxic, and often found in Canadian water systems at levels that require advanced laboratory testing. Unfortunately, current sample-preparation methods used to extract […]

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L2M – AI-powered Vision-based Robotic System for Autonomous Waste Sorting and Recycling

Waste sorting today is inefficient and relatively expensive since current systems can’t achieve full autonomy. Our project introduces a practical solution that combines AI-powered vision-based object detection with low-cost robotic manipulators to automatically detect and sort waste streams in real time. This innovation reduces hardware and maintenance costs, minimizes the labor reliance, and greatly enhances […]

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L2M-Body-Safe Wearable Antenna Technology for Reliable Health Monitoring Devices

This project focuses on validating the real-world potential of a new wearable wireless sensing technology designed for safer and more reliable on-body communication. Many current wearable devices struggle with performance instability and safety issues due to strong interaction with the human body. This project explores an alternative design approach that minimizes unwanted radiation into the […]

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