Optical Frequency Combs in Surface Nanoscale Axial Photonic Microresonators

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. […]

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Operational Optimization of PV-B (Photovoltaic-Battery) renewable energy communities with the objectives of minimizing OPEX and peak load

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 […]

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Adsorption of Greenhouse Gases from Mining Industries Using Zeolite Membranes Technologies

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 […]

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Small Green Changes: Understanding the Relationship Between Structure and Light Interactions of Modified Perovskite Supercrystals

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 […]

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Mineral Protection of Organic Carbon in Marine Sediments: Isotopic and Molecular Characterization Across Diverse Environmental Regimes in the St. Lawrence Natural Laboratory

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 […]

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Simplified technique for measuring ammonia emissions during manure management: A validation study

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 […]

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Propagating Instrumental Systematics to Cosmological Analysis Pipeline for HIRAX

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 […]

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New quantum materials and new quantum sensors using ultra-cold atoms

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 […]

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Apprentissage automatique quantique (QML) en oncologie : application au cancer du sein et au cancer du poumon

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 […]

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Development of a modular aircraft propulsion simulation model

In this project a modular propulsion simulation tool will be developed, which is able to be integrated in an already existing framework for preliminary aircraft design. The developed tool shall then be used for analyzing different propulsion system configurations of conceptual aircraft, to compare these against each other regarding different metrics, such as efficiency and […]

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Modélisation d’une décharge électrique dans l’air en présence des gouttelettes liquides

Nous cherchons à adapter un modèle afin de modéliser l’initiation et la propagation d’une décharge électrique produite dans l’air avec la présence d’une ou plusieurs gouttelettes d’un liquide. bien que l’étude est fondamentale, elle va nous renseigner sur l’évolution spatio-temporelle de la densité des électrons et du champ électrique qui sont incontournables pour le développement […]

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