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 […]

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 […]

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 […]

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 […]

InsurEasy is a multilingual AI insurance agent that provides Canadians with transparent, commission-free coverage recommendations, making insurance more affordable and easier to understand for everyone.

This project explores how to make clean hydrogen production more accessible and affordable by designing a Mobile Hydrogen Production Unit (MHPU) that runs on renewable energy such as solar or wind. The unit will be small, portable, and capable of generating hydrogen on-site for use in remote, off-grid, or temporary locations that currently depend on […]

This project is a transformative energy technology that reimagines how electricity is delivered, expanding access to affordable power while supporting the global clean energy transition. The project is dedicated to empowering communities, particularly in underserved regions, with solutions that advance both energy access and equity.

Our process takes bulk cellulose and upgrades it to cellulose nanocrystals — a valuable nanomaterial. This novel method now holds a provisional patent, but we need Lab2Market (L2M) to help us validate our process and implement it in industry. L2M will aid in identifying our potential customers, making sure our tech links well with existing […]

ScaleUp is a marketing tool that uses AI to help small businesses plan, create, schedule, and measure social posts in one place. This project will test ScaleUp with real firms, learn which features matter most, and shape an easy, affordable package. The intern will run interviews and small pilots, compare results before/after use, and report […]

dogged is a Vancouver-based, sustainability-focused pet brand dedicated to creating high-quality, eco-friendly products such as slow feeders and natural treats that enrich the daily lives of dogs and their owners. As a rapidly growing start-up, dogged has established a strong foundation in product design and e-commerce but now faces the strategic challenge of expanding its […]

This project is designed to provide a baseline dataset for fish processing stations on Southern Vancouver Island. From this dataset, researchers aim to identify broad-scale trends in nearshore marine systems and identify future research needs. Main objectives of the project include monitoring both seal behaviour and fish waste subsidies near these recreational fish processing stations […]

This project focuses on creating innovative, flexible ways for electricity grid operators and groups managing renewable energy sources like solar panels, wind turbines, and batteries to work together efficiently, even when energy production is unpredictable due to weather or other factors. By reviewing existing research, building computer models for optimal power flow, and testing them […]