This collaborative research project between McMaster University’s Materials Science and Engineering department and Grenoble INP Phelma’s SIMaP laboratory aims to investigate the development of accurate strain measurement techniques using transmission electron microscopy (TEM).

This project aims to accelerate the discovery of efficient high-entropy alloy (HEA) catalytic materials for CO2 electrolysis by integrating advanced quantum AI-based optimization techniques with quantum mechanics computation. By combining these cutting-edge methods, the project seeks to identify novel, efficient, and costeffective catalysts that can convert CO2 into valuable products, contributing to the achievement of […]

“Green shipping corridors” are being established globally, including interest in new cargos of hydrogen (H2) and carbon dioxide (CO2). The former is challenging to transport in neat form, making liquid organic carriers (LOCs) and ammonia (NH3) attractive forms for transport. Carbon sequestration sites are also being established for CO2 disposal, however many are located far […]

Floating photovoltaics (FPVs), an emerging technology used to harvest solar energy from the surface of waterbodies, has grown rapidly in recent years with the increase in initiatives to decarbonize energy production. However, much of the literature on environmental impacts of FPVs focuses on water quality rather than on impacts on biotic processes such as primary […]

La région du Haouz (Maroc), abrite l’un des aquifères les plus importants du pays et joue un rôle essentiel dans l’agriculture, le tourisme et l’industrie. Cependant, les sécheresses récurrentes, aggravées par les changements climatiques, entraînent une surexploitation des eaux souterraines. La pression croissante exercée par les activités humaines met en péril l’équilibre hydrique de l’aquifère, […]

This proposal aims to integrate mathematical analysis with numerical simulations using Physics-Informed Neural Network (PINN) schemes to investigate the primitive equations, a fundamental model for atmospheric and geophysical flows. The primary focus is on achieving a precise characterization of singularity formation in these models.

Whether conforming safely with the movements of humans, executing adaptable motion to navigate unpredictable terrain, or handling delicate objects with precision, soft robots are revolutionizing the way machines interact with the world. Soft robots take inspiration from biological systems, incorporating soft and stretchable materials to achieve lifelike motion. However, the fabrication of these advanced systems […]

Prostate cancer (PCa) cases are expected to double worldwide by 2040, making early and accurate detection essential. Currently, diagnosing PCa is challenging due to systemic biopsy procedures, which have a low sensitivity of 48%. To improve detection and diagnosis, the research group at the University of British Columbia (UBC) is developing advanced imaging techniques such […]

This project aims to develop and evaluate an advanced augmented reality (AR) and artificial intelligence (AI)-based system designed to enhance conversational fluency for intermediate-to-advanced language learners. By integrating language practice into everyday environments, the system will offer immersive and interactive learning experiences without reliance on traditional classroom instruction or physical conversation partners. Existing literature indicates […]

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. […]

Le projet de recherche porte sur l’impression 3D de bio composites à base de lignine, un matériau biosourcé issu de la biomasse. L’objectif est de développer des matériaux écologiques et performants pour l’impression 3D en intégrant la lignine dans des composites innovants. Le stagiaire étudiera la formulation de ces bio composites, leurs propriétés rhéologiques et […]