LuCID Dryer Process Optimization

The project concentrates on MEMS (Micro-Electro-Mechanical Systems) fabrication process optimization. MEMS devices comprise suspended structures, such as cantilevers, gyros, membranes, etc., which are created by removing sacrificial material around them in order to have these structures released to perform their designated function. Currently, these structures are being released with the use of either dry etch […]

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Effect of altitude on cardiovascular responses to voluntary apnea in Nepali Sherpa

Our lab has demonstrated that voluntary apneas (i.e., breath-holds) at high altitude cause decreases in heart rate in lowlander populations. Apneas at altitude also cause cardiac arrhythmias in a majority of lowlanders. Unlike lowlanders, native highlanders (e.g., Nepali Sherpa) do not get the same decreased heart rate and cardiac arrhythmias during voluntary apneas at high […]

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Développement d’outils de formation destinés aux producteurs agricoles sur les risques à la santé et les moyens de prévention des risques associés aux phénomènes climatiques extrêmes

Ce projet vise à développer des outils de formation sur les risques à la santé et les mesures de prévention prometteuses à l’intention des producteurs agricoles et des intervenants en santé au travail. Les risques à la santé considérés dans ce projet sont de diverses natures : physiques, chimiques, biologiques et psychosociaux. Pour la réalisation […]

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Comprehensive Life Cycle Analysis of Shellac: From Production to Environmental Impact

This project focuses on creating eco-friendly, recyclable transportation cards using shellac, a biodegradable and sustainable material. Traditional plastic cards contribute significantly to waste and CO2 emissions, while shellac offers a greener alternative that can be combined with recyclable paper substrates. By conducting a Life Cycle Analysis (LCA) of shellac materials, this research will evaluate their […]

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Exploring Carbon Sequestration through Drone-Detected Solar-Induced Fluorescence (SIF) Data to Up-Scale Gross Ecosystem Productivity (GPP) from Eddy Covariance Flux Towers to Satellite Coverage

Climate change poses significant risks to global ecosystems, particularly forest ecosystems, which are crucial for carbon sequestration. In Canada, forests cover 38% of the land area, contributing 9% of global forest carbon sequestration. However, disturbances such as pest infestations and extreme weather events threaten their ability to sequester carbon. Current methods like flux towers and […]

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Synthesis of TiO2 Nanoparticles by Sol-gel Method and Their Characterization, Photodegradation of doxycycline in water induced by TiO2

This project focuses on creating titanium dioxide (TiO2) nanoparticles using the sol-gel method, studying their properties, and using them to break down doxycycline, an antibiotic, in water. It addresses water pollution, a key issue in Canada, by developing affordable and effective ways to remove harmful pharmaceutical pollutants. TiO2 is a powerful material for cleaning water, […]

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Occupant-Centric Low-Energy Design Solutions for High-Rise Social Apartments in Ho Chi Minh City

The Occupant-Centric Low-Energy Design Solutions for High-Rise Social Apartments in Ho Chi Minh City project seeks to improve energy efficiency in high-rise apartments by understanding and integrating the daily behaviors and preferences of residents. The objectives of the research include: – Develop a set of criteria for evaluating energy efficiency that aligns with user behavior […]

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Development of new approach methods (NAMs) for pesticide risk assessment

Pesticides are widely used in agriculture to protect crops and increase yields. However, their overuse can lead to environmental pollution and health risks. Understanding how pesticides break down in the environment and within organisms is crucial for assessing their potential harm. To develop new computer modeling techniques to predict how pesticides degrade in the environment […]

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Enhancing Wildfire Detection and Prediction with Deep Learning and Quantum Machine Learning

Wildland fires in Canada pose significant risks, causing extensive damage to ecosystems, property, and human life. The record-breaking 2023 wildfire season, which devastated 18 million hectares, underscores the urgent need for improved detection and mitigation strategies. Recent advancements in deep learning have demonstrated strong potential in early wildfire detection and fire spread prediction, providing critical […]

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Stage de recherche sur les techniques des retombées atmosphériques appliquées à l’érosion du sol et la sédimentation

Le stage de recherche vise à approfondir la compréhension par le stagiaire des principes de bases et de l’application des méthodes utilisant les radionucléides de retombées atmosphériques pour reconstruire les processus d’érosion et de sédimentation. Le stagiaire bénéficiera de formations techniques en spectrométrie gamma, et de soutien pour mettre en œuvre les modèles de calcul […]

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