Air pollution from road transportation is a serious environmental and public health concern, with significant economic impacts related to healthcare costs and air quality management. Ultrafine particles (UFPs), emitted by both exhaust and non-exhaust vehicle sources, pose severe health risks because their tiny size allows them to penetrate deep into the lungs. Their dispersion is […]

Organizations today face increasing difficulty keeping up with cybersecurity and privacy rules such as ISO 27001, SOC 2, GDPR, and Canada’s PIPEDA. Meeting these requirements is often slow, expensive, and prone to human error because compliance checks are still done mostly by hand. To address this, Carleton University and Sabytel Technologies Inc. are working together […]

This project focuses on developing better computer models to predict how recycled concrete can store and transfer heat for use in thermal energy storage (TES) systems. Instead of relying only on expensive and time-consuming experiments, the project will create more accurate and efficient simulation methods that can speed up the design of sustainable energy storage […]

Les villes, comme d’autres organisations, cherchent à utiliser l’intelligence artificielle (IA) pour automatiser leurs processus internes et améliorer leur fonctionnement. Mais contrairement aux autres niveaux de gouvernement, les municipalités sont en contact direct avec les personnes citoyennes. Elles doivent donc offrir des services de qualité, rapides et concrets, ce qui complique leur transformation numérique. Des […]

La demande croissante de matériaux électrochimiques durables et respectueux de l’environnement a stimulé l’intérêt pour le développement de polymères biodégradables contenant des charges conductrices renouvelables. L’acide poly-lactique (PLA) est un biopolymère largement considéré comme respectueux de l’environnement, mais sa faible conductivité électrique limite son utilisation dans les applications énergétiques avancées. Pour surmonter cette limitation, le […]

Achieving net-zero targets in developing countries requires deploying renewable energy in off-grid areas where grid expansion is impractical. High capital costs for renewable energy and hydrogen storage hinder adoption, with many systems being inefficient due to poor sizing or curtailment. This research focuses on developing a hybrid AI and optimization framework to enhance the sizing […]

Au Canada, de nombreuses infrastructures souterraines comme les tunnels creusés dans le roc vieillissent et deviennent difficiles à inspecter. Ce projet de recherche vise à moderniser leur évaluation en utilisant des technologies de pointe. En collaboration avec une entreprise spécialisée en géomécanique, l’équipe développe une méthode innovante pour reconnaître automatiquement les structures de soutènement (les […]

This project develops a decision-support tool to improve production scheduling at Compass Minerals’ salt plant in Goderich, Ontario. The plant makes multiple grades of salt on connected production lines, facing changing demand and tight operational limits. Currently, schedules are created manually or with simple rules, which limits flexibility and efficiency. We aim to build an […]

Ce projet vise à améliorer la qualité des itinéraires de livraison proposés aux livreurs dans les villes, en tenant compte de leurs préférences, habitudes et connaissances du terrain. Grâce à l’intelligence artificielle et à l’analyse de données réelles collectées à Montréal, la stagiaire développera des modèles capables de prédire des tournées de livraison plus adaptées […]

In recent years, Québec’s ski resorts have struggled with mounting electricity expenses. Warmer winters and growing stress on the provincial grid have driven up the energy needed for snow-making, particularly in the run-up to the holiday season. This significant cost is primarily driven by demand charges incurred from the intensive use of snow-making equipment prior […]

The safety of underground mining operations depends heavily on monitoring and management of various hazards that can arise within mines and their supporting infrastructures, particularly the drifts (tunnels). Drifts are critical pathways within mines, and their structural integrity is paramount to ensure the safety of workers and equipment. Traditional methods of evaluating drift stability often […]

This project will develop a new system that uses infrared cameras and artificial intelligence to automatically detect defects in copper joints made by induction brazing, a process widely used in heat pump manufacturing. By capturing and analyzing the heat patterns that appear during brazing, the system can quickly identify problems such as cracks or poor […]