Le design de grands projets de génie civil (routes, ponts, complexes résidentiels, usines, etc.) requiert plusieurs décisions techniques dont les résultats sont consignés dans divers types de plans d’ingénierie. Tout projet d’envergure ne peut être imprimé/affiché sur une seule feuille, même de grand format en raison de l’étendue du projet et de la quantité d’informations […]

One side effect of stroke is damage to the left parietal lobe, important in motor control of the right hand. Many stroke patients experience loss of motor skills and have difficulty relearning how to perform daily tasks. Recent reports from stroke rehabilitation centres have shown increased improvements in relearning basic motor skills upon incorporation of […]

With patients and caregivers (PCs) at the heart, learning health systems (LHS) bring together research and health systems. LHS work in a cycle to speed up learning from data and evidence and guide practice and policy change. This approach has been identified as an efficient and cost-effective way to improve healthcare experiences, overall wellbeing of […]

We will collaborate with St. Martha’s Regional Hospital Foundation (SMRHF) to conduct a research study that will explore women’s lived experiences with being diagnosed with colorectal cancer (CRC) before the age of 50, also known as early-onset colorectal cancer (EO-CRC). Specifically, we are interested in learning about women’s experiences with the healthcare system during their […]

UV light is known for its antimicrobial properties. In this project, we expect to use a proprietary lamp that will provide a specific light that will target bacterial, fungal, and viral strains commonly found in healthcare facilities. The project’s results will have a direct impact on sterilizing areas with a high number of healthcare providers. […]

This research project, a partnership between UQTR and TecScan, focuses on developing a flexible, multi-element eddy current sensor array that can adapt to complex geometries to improve the accuracy of non-destructive testing. This sensor is designed to scan surfaces with varied shapes, addressing the requirements of the aerospace sector. TecScan, specializing in non-destructive testing technologies, […]

This project focuses on improving the reliability of AI systems that generate answers using external databases, known as Retrieval Augmented Generation (RAG) systems. While these systems help reduce inaccuracies, it’s still hard for users to know how trustworthy or relevant the answers are. To address this, the intern will explore a new method that evaluates […]

Networks are pervasive in our world. From migrating birds flying in formation, to social groups, wireless networks, world-wide web, the examples are endless. Migrating birds, such as the Canada goose, are a good example of a network between agents where information is communicated based on real-time musical (acoustic) signals. Inspired by this example, the research […]

Interest in mining deposits formed at deep-sea hydrothermal vents for minerals that are required for the transition to clean energy technologies has increased. However, animal communities at hydrothermal vents and the surrounding deep-sea have not been well characterized. Many of the animals at hydrothermal vent sites, such as deep-water corals and sponges, are indicators of […]

Axonal Networks and Concordia University are working together to develop low-power, high-throughput optical transceivers using linear drive techniques. This technique avoids extensive in-transceiver digital signal processing and clock/data recovery in favour of modest equalization, relying on the linearity of the channel and the equalization capabilities of the host chips at the ends of the optical […]

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

XEOS Imagerie a développé une grande expertise en cartographie par intelligence artificielle notamment à partir de nuages de points lidar en 3 dimensions. Ce projet de recherche vise à cartographier automatiquement par intelligence artificielle les fossés et les ponceaux à partir de nuages de points lidar aériens. Toutes les méthodes existantes utilisent un modèle numérique […]