The Bay of Quinte, a Z-shaped embayment at the northeastern end of Lake Ontario, represents a characteristic case, where scientific uncertainty underlies the current management efforts to integrate environmental concerns with socioeconomic values. The proposed project aims to develop a methodological tool that can be easily engaged with the policy practice of adaptive management and […]

Ce projet cherche à mieux comprendre la contribution de l’économie sociale au développement de la région de l’Outaouais dans les quinze dernières années. NOus prenons comme point de départ, la fondation de la Laiterie de l’Outaouais, un projet emblématique porté par une mobilisation sans précédent des divers acteurs de la région pour ensuite voir l’évolution […]

Le projet vise à aider les entreprises, les médias et les agences à éviter les communications trompeuses sur les enjeux environnementaux, aussi appelées écoblanchiment. En collaboration avec l’organisme Masse Critique, la stagiaire participera à la création d’un processus rapide (moins de 24 heures) permettant d’identifier et de corriger les publicités à risque avant leur diffusion. […]

Pipelines are a critical component of energy infrastructure but are vulnerable to threats such as cracks and geohazards, which can cause severe failures. To mitigate these risks, cost-effective integrity management is essential, aiming to operate pipelines effectively and efficiently by maintaining safety and delivering economic benefits. The intern’s PhD project proposes a Risk based Inspection […]

Big Sisters of BC Lower Mainland is a nonprofit organization dedicated to enabling life-changing mentoring relationships for self-identified girls, non-binary, trans, and Two Spirit youth. The organization is committed to building confidence, self-esteem, and a sense of belonging for its mentees through a variety of programs and a strong emphasis on justice, equity, diversity, and […]

This project aims to develop an AI-powered visual inspection system using image data from P&WC’s existing Computer Vision Inspection System (CVIS) to enhance aircraft engine assembly issue detection. By leveraging deep learning techniques, the proposed solution will address current limitations in accuracy and consistency, targeting a 100% visual detection rate for anomalies such as: part […]

Developing quantum-enhanced LiDAR requires a deep understanding of the water medium’s optical properties, which vary with environmental factors. To address this, an oceanic model was created to estimate system performance based on water’s scattering and absorption traits, though it currently simplifies these as identical. In the proposed project, this will be refined. System analysis is […]

Biocovers are earthen structures built into landfills and other industrial facilities to collect and degrade greenhouse gas emissions from the site. They are widely considered one of the most effective ways to combat methane. In order to assess the performance of those biocovers, operators have to attend to the biocover regularly and use a flux […]

Optimization of an ergonomics program within a manufacturing facility. AI camera based system for postural injury risk identification will be utilized to improve productivity and quality of injury risk identification. The project will then continue to applying the RACE Recognize, Assess, Control, Evaluate model. Physical Demands Analysis and process and design solutions for risk reductions […]

We are developing a rapid, low-cost diagnostic device that helps healthcare providers quickly determine whether an infection is bacterial or viral, leading to better treatment decisions and reduced antibiotic misuse. This project will explore real-world demand for the device, evaluate its competitive edge, and refine its market strategy. Through the Lab2Market Validate program, Edmonton Unlimited […]

During the course of this project, the main focus will be on the market research aspect of TraffiCore, a traffic monitoring and control automation startup which aims to provide traffic managers and controllers with a useful tool that can automatically perform the repetitive and mundane tasks that are usually perfomed manually and suboptimally. The intern […]

This project has developed a real-time digital monitoring system that identifies people at risk of sudden cardiac arrest by analyzing their heart signals (ECGs). By combining a machine learning model with cloud-based technology, the system automatically updates each patient’s status and sends alerts if a risk is detected. This enables the partner organization to provide […]