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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Bruit des gouttes impactant les structures : vers une preuve de concept d’un pluviomètre dynamique

Quand une goutte d’eau tombe sur une structure, elle produit du bruit. On veut se concentrer dans ce stage sur les signaux sonores liées produits lors de l’impact de gouttes sur la structure solide, et l’extraction d’informations pertinentes concernant la force d’impact de la goutte. L’objectif spécifique est de déterminer si, en partant d’une mesure […]

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L2M – Sustainable photobioreactor

Overview and Main Activities of the Partner Organization The partner organization is dedicated to enhancing urban environments through innovative solutions. One of their primary activities is developing decorative photobioreactors to improve air quality and provide aesthetic appeal in urban areas. Innovation Challenge or Improvement Priority The partner organization faces several challenges: • Urban Air Pollution: […]

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L2M – Land to Sea : A Bio alliance for a sea of hope

The expanding economy, coupled with increased human activities and the rising demand for petroleum hydrocarbons, has led to a surge in high-risk pollutants like Benzene, Toluene, Ethylbenzene, and Xylene (BTEX). These carcinogenic chemicals are notorious for their potential to escape from storage tanks, pipelines, and oil tankers, infiltrating the ocean’s subsurface. Once in the environment, […]

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Assessment of Cattle Winter Feeding Using Internal and External Accelerometer Data

Extreme cold temperatures caused by disrupted polar vortexes subject beef cattle to a stressful environment, leading to a diversion of energy from cattle growth or fertility to thermoregulatory mechanisms that increase heat production. We hypothesize that simultaneous selection of both heat and cold tolerance could be possible, which might be essential for the volatile effects […]

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High-frequency monitoring of the start-up and temperature impacts of a biofilm-enhanced

Lagoons are the most popular wastewater treatment technology in Canada with hundreds of installations across the country. Most of these systems will require upgrades in order to increase their treatment capacity or to comply with new regulations such as the Wastewater Systems Effluent Regulations registered by the Government of Canada. Bionest is developing at the […]

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Machine Learning-Based Modeling of Spreading Dynamics in Complex Interfacial Systems

Understanding droplet interactions with surfaces is crucial for large-scale oil recovery, coating industries, and microfluidic devices. To address the remaining challenges, including the need for a universal timescale and improved theoretical and computational models, this project brings together the SoftSimu group at Western University and the Soft Materials Modelling (SMM) group at Aalto University, Finland. […]

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