Développer et perfectionner une méthode d’étude, d’analyse et d’interprétation du patrimoine architectural moderne. Il s’agit en premier lieu de documenter et de reconnaître les différentes approches conceptuelles, méthodologiques et techniques. Deuxièmement, la démarche vise à élaborer des prémisses, des méthodes et des stratégies opérationnelles pour un projet de conservation et de restauration contemporain. Enfin ces […]

Digital twin is a virtual representation of an object or system designed to accurately reflect the physical object. In the interior design field, this physical object can be a room of a building, or the entire building itself. Creating a digital twin for interior design involves capturing a virtual representation of a physical space, then […]

Climate change is changing the distribution of mosquitoes, allowing them to become established in new places, potentially resulting in increased risk of mosquito-borne disease. The recent arrival of the invasive northern house mosquito, Culex pipiens, to Alberta is one such example. This mosquito, a major pest species found natively in Europe, is considered among the […]

During visual regression testing of video games, automated techniques are employed to identify visual bugs. Visual bugs can be detected by just looking at them, such as those related to texture and lighting, but also more complex ones like those related to the physics engine (such as a flying horse) that require common-sense reasoning. The […]

Telecom operators are demanding more flexible, scalable and energy efficient products. As a system integrator managing networks for operators, Ericsson realize that the benefits of using modern and improved systems is becoming even more critical, as they offer a reduced Operational and Capital Expenditure (i.e. OPEX and CAPEX) of Information and Communication Technology (ICT) systems. […]

In recent years, factors like thermal comfort, indoor air quality, and energy consumption in school buildings have received increasing attention. Lecture theatres and chemistry labs pose significant challenges for HVAC design due to thermal stratification in lecture theatres and ineffective ventilation in chemistry labs, caused by large spaces and pollutant generation, respectively. Despite many studies […]

Self-driving cars represent a transformative innovation in transportation, promising safer and more efficient travel. However, their development faces significant challenges, including accurate prediction, path planning, and safe maneuver execution, especially under varying driving conditions. Ensuring safety across all potential scenarios within the operational design domain is paramount. To effectively address this, we propose developing algorithms […]

This proposal aims to develop a robust, low complexity infant cry deep learning classification based on various babies’ responses to physiological needs such as hunger or to discomfort and pain. The significance of this research lies in its potential to enhance early detection of needs and moods in newborns, contributing to improved infant care, early […]

This project will create a first of its kind system to measure and validate the performance of conformally cooled tooling (CCT) for die casting and injection molding. CCT increases production efficiency and quality helping Canadian manufacturing to stay competitive with foreign manufacturers. Yet, many manufacturers are reluctant to adopt CCTs due to uncertainty around its […]

Based on the needs of community partners (Viomax and Adaptavie), we co-developed nine training modules and successfully trained kinesiologists who provide adapted physical activity services to persons with disabilities. Our proposed project aims to co-create and evaluate tools to support the implementation of these training modules within adapted physical activity community-based organizations who provide adapted […]

The research project seeks to understand, model and analyze the potential efficiency impact of additive manufacturing (AM or 3D-printing) on select manufacturing processes. The research will involve identifying, testing and measuring optimization opportunities in current manufacturing processes by combining current best practices and technologies across various AM technology and services, operational research methods and standard […]

This project focuses on revolutionizing space communication through the design and optimization of customized conical horn antennas tailored specifically for space applications. Horn antennas are pivotal in facilitating efficient communication in space, offering unmatched versatility in controlling radiation patterns and providing high efficiency. This project aims to optimize horn antenna geometries and design metrics by […]