Model Application for Estimating Total Suspended Solids in Eastern Amazonian Waters

Suspended sediments influence water quality, ecosystem functioning, and navigation in rivers and coastal environments. In the Eastern Amazon, estuarine systems such as the Guamá River and Guajará Bay experience intense variability in suspended sediment concentrations due to the combined effects of river discharge and tidal dynamics. These processes produce changes in water turbidity and optical […]

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L2M – AI scribe tool for mental health professionals

This project develops an AI-powered clinical scribe designed specifically for mental-health therapists. Many therapists spend excessive time on documentation, often losing 5–10 hours per week to paperwork. Existing medical transcription tools are not built for psychotherapy and fail to meet privacy or workflow needs. Our project will create and test a privacy-first, therapist-friendly prototype that […]

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How Generative AI Changes Problem Solving in Software Development

Use of generative artificial intelligence (GenAI) has skyrocketed in software development. Although gains in workers’ productivity have received significant recent attention, little is known regarding the deeper long-term effects of these tools. Researchers from the University of Victoria, Canada and the University of Zurich, Switzerland are conducting an experimental study to evaluate the potential risks […]

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L2M- TATOM

We will validate TATOM (Tumor-on-a-chip assembly to observe metastasis), a miniature human-on-a-chip platform mimicking cancer metastasis for drug testing. Through customer discovery and market analysis by initially interviewing critical parties in the sector. Through these interviews, we will assess commercial viability, identify user needs, and finally refine the business model to accelerate translation to clinic […]

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L2M – Low-carbon modular concrete buildings

Housing shortage is one of the most serious societal issues that Canada is dealing with. On the other hand, the shrinking number of workforce is expected to increase the construction duration and cost of the new project. Furthermore, the influence of climate change in the form of wildfires and hurricanes threatens the conventional methods of […]

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L2M – GradientX

Nowadays, many young Canadians [2] and newcomers [1] begin their financial journey with limited access to guidance on saving and investing, which leaves them at risk of debt and missed opportunities to build wealth. Existing tools are often complex and designed for experienced investors, not beginners. This project aims to develop and validate GradientX, an […]

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L2M – SensRIM

For manual wheelchair users, mobility means pushing thousands of times each day, often leading to pain, fatigue, and upper-limb injuries. SensRIM is an innovative, sensor-integrated ergonomic pushrim designed to transform this daily effort into data-driven mobility, enhancing independence, comfort, and health outcomes. By embedding soft tactile sensors that directly measure propulsion forces and detect user […]

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L2M – The Edge-Aware Diffusion for Contrast Enhancement

Artificial intelligence tools for contrast enhancement in medical imaging often improve visibility but may remove subtle structural details, reducing diagnostic reliability and clinical confidence. This project focuses on validating and preparing for the commercialization of the Edge-Aware Diffusion for Contrast Enhancement framework, which uses an edge-aware diffusion process to improve image contrast while preserving fine […]

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L2M – InclusivAI: AI-powered Instructional Design Agent

This project focuses on validating InclusivAI, an AI-powered instructional design agent that helps faculty redesign courses for greater inclusivity and accessibility. Grounded in established frameworks for inclusive education and accessibility, InclusivAI applies AI to support evidence-informed course design and faculty development. Through the Mitacs Lab2Market Validate program, the project will analyze insights from faculty and […]

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L2M-Local Connect

This project aims to develop a scalable, data-driven model for regional food distribution that connects local producers with restaurants, retailers, and institutions through an efficient cold-chain supply network. By addressing current logistics challenges—such as fragmented delivery routes, inconsistent volumes, and lack of shared infrastructure—the project will design a system for demand aggregation, route optimization, and […]

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L2M – Transforming Pediatric Neurodevelopmental Interventions: A Novel Model for Enhancing Social Skills and Reducing Challenging Behaviors in Children with ASD and ADHD

The Interactive Multisensory Physical Movement (IMPM) model addresses a critical and growing gap in pediatric neurodevelopmental care. It offers a rigorously designed, non-pharmacological therapeutic approach for autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD). Current treatments often focus on short-term symptom management, have adverse side effects, and produce limited long-lasting improvements in social […]

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