Well-functioning infrastructure, broadly defined as the basic physical structures and facilities needed for a society to function efficiently (like roads, bridges, and power plants), is integral to the economic and social wellbeing of a nation and its citizens. Unfortunately, in the post-2008 world of austerity and increased global banking regulation, governments and banks have been […]

The StFX X-Oceans Outreach participant will collaborate with Students on Ice Foundation on their Blue Future Pathways initiative. The goal is to promote ocean literacy through STEM to youth in rural communities and to work with pre-service teachers to encourage them to incorporate ocean-based material in their curriculum and future teachings. Expected benefits to the […]

We develop a numerical model of blood flow in the microvasculature of the human body as a building block to later simulate targeted drug delivery. The model requires (i) to implement a Front Tacking/Immersed Boundary method to coupled the solution of the fluid flows to the deformation of the red blood cells (RBCs) and (ii) […]

This project aims to explore the generation of optical frequency combs (OFCs) in a surface nanoscale axial photonic microresonator (SNAPR). A SNAPR is an optical device created by modifying the radius of an optical fibre. This modification enables the trapping of light within the device, enhancing its intensity and leading to more pronounced optical effects. […]

This project focuses on creating a smart, efficient energy management system for local communities powered by solar panels and batteries. By using advanced reinforcement learning (RL) techniques, the system will automatically control energy use, storing excess solar power in batteries to reduce costs and keep the grid stable. This approach helps communities rely more on […]

The mining sector plays a significant role in GHG emissions, contributing to climate change and environmental degradation. This proposal aims to investigate specific emissions associated with mining activities and evaluate the potential of zeolite membrane direct capture technologies as a viable solution for emission reduction. By addressing gaps in the current literature regarding the application […]

This project aims to improve solar energy conversion technology by exploring the self-assembly of cesium lead halide perovskite supercrystals (CsPbX3 SCs). These supercrystals have unique structural and photophysical properties that can be leveraged to make solar cells (and other optoelectronic devices) more efficient and longer-lasting. The project will focus on gaining a fundamental knowledge on […]

This project aims to study how organic carbon (OC) is preserved in marine sediments in the St. Lawrence Estuary and Gulf, a unique natural environment with a range of different conditions. By examining the way OC interacts with minerals in sediments, the research will help us understand how carbon can be stored long-term, rather than […]

Manure storage and spreading release various air emissions, including ammonia (NH3), methane (CH4), nitrous oxide (N2O), and particulate matter. Among these, ammonia is the most common gas emitted, which can harm air quality, human health, and the environment. High ammonia levels contribute to air pollution by forming fine particulate matter, which harms human health and […]

This research sheds light on the mysterious force of dark energy, driving the universe’s accelerated expansion, and reveals how cosmic structures evolve. Since hydrogen makes up most of the universe, its natural radiation at radio wavelengths allows us to map large volumes of space and track the distribution of matter. The Hydrogen Intensity and Real-time […]

The aim of this research internship is to contribute to our group’s research program using laser­ cooled gases to explore fundamental phenomena of quantum materials and to use them to realize new quantum sensors. This research program has two main objectives – the use of ultra-cold atomic and molecular gases to (1) realize new quantum […]

Le cancer représente un défi majeur pour la santé mondiale avec des millions de nouveaux cas chaque année. L’intelligence artificielle (IA), notamment l’apprentissage profond, a amélioré la détection des tumeurs, mais transformer les grandes quantités de données médicales en informations cliniquement exploitables reste difficile. L’informatique quantique émerge comme une technologie prometteuse, notamment via l’apprentissage automatique […]