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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
In vivo screening of interactions between glycans and immune cells

The proposed Research Plan is to evaluate the active targeting effect of glycan ligands for the delivery of conjugated lipid nanoparticles (LNPs) to human bone marrow CD34 + hematopoietic stem and pluripotent cells (HSPCs) and human peripheral blood mononuclear cells (PBMCs) such as T cells and B cells. A reporter mRNA will be formulated into […]

Read More
État des connaissances sur la vulnérabilité aux changements climatiques de l’approvisionnement québécois en énergies renouvelables

Les changements climatiques posent un défi croissant pour l’approvisionnement en énergies renouvelables au Québec. Au-delà de l’hydroélectricité, déjà bien étudiée, des filières comme l’éolien, le solaire, la biomasse, la géothermie et le gaz naturel renouvelable (GNR) demeurent sous-analysées. Pourtant, elles sont appelées à jouer un rôle clé dans la transition énergétique de la province. Ces […]

Read More
Prompt optimization method to maximize the accuracy and reliability of LLM outputs

Draft & Goal (D&G) is a Canadian artificial intelligence (AI) company developing a no-code platform that automates marketing workflows using AI agents for writing, search engine optimization, and fact-checking. The integration of large language models (LLMs) is central to their software solution: it allows non-technical users to harness advanced AI for content creation. However, unlike […]

Read More
Microwave-Assisted Degradation of Organic Contaminants and Regeneration of Granular Activated Carbon in Water Treatment

This project explores microwave-assisted thermal treatment as a sustainable method to both degrade organic contaminants and regenerate granular activated carbon (GAC) used in water treatment. The goal is to determine whether high-power microwaves can desorb and break down pollutants from spent GAC while preserving its structure and extending its adsorptive life. A range of micropollutants […]

Read More
Intelligence artificielle dans les entreprises B2B au Québec: défis et opportunités

Ce projet de recherche porte sur l’adoption de l’intelligence artificielle (IA) par les entreprises québécoises qui œuvrent dans le secteur du commerce entre entreprises (B2B). L’objectif est de mieux comprendre comment ces organisations intègrent l’IA dans leurs activités, quels bénéfices elles en retirent, mais aussi quels défis humains, financiers et organisationnels elles rencontrent. Pour y […]

Read More