L2M – Modular Hybrid Air Purification System

Indoor air pollution has become a growing concern, especially in homes, schools, offices, and healthcare facilities where people spend most of their time. Existing commercial air purifiers are often limited in function, focusing on removing specific pollutants while requiring frequent manual filter replacements. Many are not compatible with HVAC systems and often produce noise and […]

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L2M – DeepFault AI: Advanced Geoscience Software Solution

This project will validate the commercial potential of DeepFault AI, an advanced geoscience software solution that automates seismic fault interpretation using deep learning, with integrated uncertainty quantification and quality control (QC). In energy sectors such as oil and gas, geothermal, and carbon storage, reliable subsurface interpretation is essential. Traditional fault detection methods are slow, subjective, […]

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L2M Validation / Qc Automne 2025 / Ready, Set, Swim: Application of spectrofluorophotometry (FEEM) for better pathogen detection in Quebec’s recreational waters

Municipal beach managers across Canada face an impossible dilemma every summer: close beaches preventively and lose tourism revenue, or risk exposing swimmers to dangerous sewage contamination from aging infrastructure that overflows during heavy rainfall. Current water testing takes 24-48 hours and measures bacteria that poorly indicate actual health risks from viruses, forcing managers to make […]

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De nuisance à ressource : valoriser une espèce envahissante pour dépolluer un écosystème aquatique

Ce projet appuie les efforts de restauration du lac Osisko, situé à Rouyn-Noranda, un plan d’eau fortement contaminé par des activités industrielles. Le but est d’évaluer le potentiel d’une méthode écologique appelée phytoremédiation, qui utilise des plantes pour extraire les polluants. L’étude portera sur le myriophylle à épis, une plante aquatique envahissante déjà présente dans […]

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Biomass-waste derived Quantum Dots nanocomposite-based electrochemical sensor for detecting emerging pollutants

Emerging contaminants (ECs) have become a significant environmental concern due to their widespread presence and risks to health and ecosystems. Meanwhile, agricultural waste is also increasing, providing a valuable source for high-value materials. Traditional detection methods are costly, slow, and require specialized equipment and time-consuming laboratory analyses. Electrochemical sensors offer a low-cost, rapid, and sensitive […]

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Investigating the organohalide dehalogenation respiratory chain of Dehalococcoides mccartyi CBDB1

Organohalide-respiring bacteria (OHRB) are important agents of bioremediation, helping to clean up groundwater contaminated with toxic compounds such as chloroform, perchloroethene (PCE), and chlorobenzene. This metabolic pathway relies on enzymes known as reductive dehalogenase homologs (RdhAs). The mechanisms by which RdhAs reduce organohalides remains elusive, particularly in the case of the Chloroflexi OHRB Dehalococcoides and […]

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L2M Validation / QC Automne 2025 / Optimisation de la carbonatation minérale in situ accélérée des résidus miniers issus de roches ultramafiques

Ce projet de stage vise à étudier et à valider le potentiel commercial d’un procédé innovant de séquestration du dioxyde de carbone (CO2) par carbonatation minérale accélérée in situ des résidus miniers issus de roches ultramafiques (ou ultrabasiques). Il s’agit d’une solution prometteuse pour réduire l’impact des émissions de CO2 par les différentes industries. Ce […]

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Towards Sustainable Nowcasting: Exploring Lightweight Models for Local Precipitation Forecasting

This project focuses on investigating more efficient and simplified approaches for very short-term precipitation forecasting, known as nowcasting. The goal is to evaluate and adapt lightweight machine learning models that can deliver accurate predictions using fewer computational resources. By reviewing existing models, testing their performance, and exploring ways to simplify their architecture without losing accuracy, […]

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Evaluating the Impacts of Climate Change and Seawater Intrusion on Arsenic Mobilization in Coastal Aquifers

Many rural communities in the maritime Provinces rely on groundwater for drinking water supply. There is concern that the groundwater in these areas may become contaminated with naturally occurring arsenic as the climate changes. Climate change effects including rising sea levels, longer summer droughts, and more intense storms may alter the geochemical conditions in the […]

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Modélisation de la recharge et de la vulnérabilité des eaux souterraines sous changement climatique à l’aide de l’intelligence artificielle

Ce projet répond à l’enjeu mondial urgent de la durabilité des eaux souterraines face aux changements climatiques, en développant un cadre de modélisation robuste, alimenté par l’intelligence artificielle, pour évaluer et comparer la recharge et la vulnérabilité des nappes phréatiques dans deux régions aux climats contrastés : la plaine semi-aride de Berrechid au Maroc et […]

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Homo/Hetero Hybrid Dyadic Systems for Artificial Photosynthesis

Climate change is one of the main concerns of our society and is closely linked to the large consumption of fossil fuels and their associated carbon emissions. An appealing alternative is the production of hydrogen from water, powered by sunlight. Our project aims to develop a first family of efficient hybrid dyadic catalysts for this […]

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ESSA Technologies Ltd

ESSA Technologies Ltd. (ESSA) is a Canadian environmental consulting company focused on supporting sustainable ecosystems and communities through science and analytical tools. With offices in Vancouver and Ottawa, ESSA collaborates with clients to address environmental challenges through data-driven, evidence-based decision-making processes. The innovation challenge facing ESSA is the need for more efficient internal processes and […]

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