L2M – AR-CAD: An Augmented Reality-based Computed Aided Design Tool

This project will advance the development of AR-CAD, an innovative augmented reality (AR) design tool that allows engineers to create and manipulate 3D models in real-world scale using a headset. Unlike traditional CAD tools that rely on 2D screens and complex interfaces, AR-CAD enables intuitive, hands-on design, helping users visualize and validate parts more quickly. […]

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L2M – Healthcare Systems Performance Optimization using Reinforcement Learning-Enhanced Functional Resonance Analysis Method

Healthcare systems operate as complex socio-technical environments, involving unpredictable interactions among patients, clinicians, technologies, administrators, and institutional policies. These systems are often under significant pressure to improve performance, reduce costs, and enhance patient safety—yet they frequently lack the tools to simulate the consequences of operational decisions before implementation. Traditional approaches like retrospective analysis or static […]

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L2M – Artificial Intelligence Integrated Medical Media Suite

The Artificial Intelligence Integrated Medical Media Suite (AIIMMS) is a smart, AI-powered crash cart designed to support emergency response teams during coding events. By integrating live video, audio, patient biometrics, and patient electronic health record data into a centralized interface, AIIMMS can help reduce the cognitive load and enhance clinical decision-making in real time. The […]

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3D-Printed CNT/rGO–PALF Aerogels for Solar Interfacial Evaporation

Access to clean water is a critical global challenge, with billions facing water scarcity or contamination. This project aims to develop a sustainable water purification system that uses solar energy to convert contaminated or salty water into clean water, offering a low-cost, off-grid solution for rural and resource-limited communities. The system will use solar-driven interfacial […]

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L2M – Advancing the Commercial Potential of a Novel Simulation Tool for Thoracic Surgery Training

This project will support the commercialization of a new medical training tool designed to help doctors learn how to perform technically complex procedures for cancer staging and diagnosis. The partner organization, University Health Network, has developed a realistic 3D-printed simulation model that enables trainees to safely practice this procedure outside the operating room. Unlike current […]

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L2M – Market Validation and Human Factors Strategy for an Edge AI-Based Care Platform

This project focuses on validating the real-world use and integration of an advanced, AI-enabled platform designed to improve prenatal care through early detection of conditions such as gestational diabetes and preeclampsia. Rather than simply testing technical performance, the project places strong emphasis on human factors engineering and understanding how healthcare professionals interact with new technology […]

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Analyse comparative de l’impact carbone et systémique d’un spectacle d’art vivant au Québec

Ce projet a pour but de comparer les impacts environnementaux d’une production culturelle au Québec réalisée de façon traditionnelle avec ceux d’une production conçue selon des principes d’écoconception. Au-delà des émissions de gaz à effet de serre, l’étude prendra en compte d’autres effets sur l’environnement, comme la gestion des déchets ou l’utilisation des matériaux. Le […]

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L2M – Optimizing Rheology for 3D-Printed Geopolymer Concrete

This project explores how sustainable concrete alternatives can be adapted for 3D printing in construction. Traditional cement-based concrete is a major source of global carbon emissions. Geopolymer concrete—made from industrial by-products like fly ash—offers a greener alternative, but challenges remain in making it printable at scale. This project will develop and validate a new testing […]

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L2M – AI-Based Alarm Management System

Over the four-month Lab2Market internship, discussions with plant operators, maintenance teams, and technology vendors will determine how the existing AI alarm-diagnosis system should be fine-tuned for real-world deployment. Targeted interviews, and rapid feedback loops will uncover the highest-value use cases, reveal functionality gaps, and establish clear upgrade priorities. These market-discovery insights will provide us with […]

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L2M – ThermaSwitch: Passive Films for Adaptive Heat Management

This project aims to develop and validate a low-cost, energy-efficient film made from common or recycled plastics that can passively manage heat without using electricity or fuel. By microstructuring the surface of materials like polyethylene and polymethylpentene (TPX), we create thin, flexible films that can either retain or release heat depending on their arrangement. When […]

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