This project aims to improve the monitoring and management of soil erosion in agricultural landscapes using advanced technologies like combinations of optical and LiDAR data from remotely piloted aircraft with machine learning. By creating detailed, high-resolution models of soil erosion and deposition, the project will help quantify erosion processes more efficiently than traditional methods. The […]

Through combining information from MRI and microscopy, this research aims to propose advanced computational methods for the registration, reconstruction, and analysis of brain images. To improve the accuracy and resolution of the combined brain scans, a key component of this effort is the application of statistical techniques to create correlations between the various imaging modalities. […]

By systematically reviewing and analyzing existing literature and data on postpartum mental health in Japanese women, this research project aims to understand the cultural expectations of motherhood and perceptions of mental health on mothers in Japan, and how this may impact the uptake of support and public health interventions in the Japanese context. The research […]

The proposed project aims to develop an illustrated children’s book to educate youth on the importance of climate action, which has become increasingly importance due to the consequences of anthropogenic climate change. This project aims to develop a book that instills ecological and emotional literacy in order to empower youth to take action against climate […]

This project focuses on developing a robotic arm manipulator capable of accurately cutting plant leaves for genetic analysis, improving the efficiency and precision of agricultural plant research. In current studies, researchers must manually cut leaves from hundreds of plants, a time-consuming process that introduces inconsistencies due to varying plant conditions over time. Automating this task […]

Afin de contrôler les propriétés mécaniques des pièces en aluminium, il est nécessaire de mieux comprendre l’effet de la déformation et de la recristallisation dans le processus de fabrication. Le présent projet documentera l’anisotropie de l’aluminium suivant différents chemins de déformation et taux de recristallisation. Le stagiaire pourra ainsi être initié à différentes techniques de […]

La demande croissante de matériaux écologiques et abondants a fait du biochar un agent de renfort très recherché dans les applications automobiles. Le biochar possède des propriétés uniques, telles qu’une structure poreuse, une grande surface spécifique, une haute stabilité thermique, une bonne conductivité, une source de matière première renouvelable et abondante, ainsi qu’une durabilité environnementale. […]

The proposed research focuses on the development of biocarbon materials from waste spent clay and soapstocks from vegetable oil processing. The biocarbon will be used as the filler in developing rubber composite material as a potential substitution for carbon black produced from petroleum sources. The intern will work with the team of graduate students and […]

Alors que la crise du logement atteint des niveaux critiques à Montréal, la gestion des espaces vacants soulève d’importants enjeux sociaux et urbains. Récemment, divers types d’occupations temporaires émergent : certaines, portées par des institutions ou des initiatives citoyennes, visent à revitaliser l’espace public à travers des projets culturels, sociaux ou économiques, tandis que d’autres, […]

Wolf-Rayet (WR) stars exhibit strong, high-velocity winds with small-scale stochastic clumps and large-scale structures like Co-rotating Interaction Regions (CIRs). CIRs are spiral-shaped density enhancements, which propagate through the wind and induce variability in spectropolarimetric signals. WR6 (EZ CMa, WN4b) is a well-studied target with a stable 3.76-day periodicity in its wind variations. Recent observations, including […]

The main objective of this internship is the acquisition of field data in Australia, using drones equipped with RGB and thermal sensors to map and monitor vegetation in mine sites undergoing restoration. These data will be used to feed an AI model to identify plant species and assess their performance and resilience to environmental stresses. […]

This project focuses on developing new types of catalysts by designing and testing innovative molecules (ligands) that can better interact with metals and tune their properties. Catalysts are chemical species that help speed up chemical reactions, making them more efficient, selective, and sustainable. They are essential in many industries, from pharmaceuticals and petrochemicals to energy […]