Feature Tracking at Low Frame Rate for Roving at the Lunar South Pole

This project supports NASA’s Endurance mission, a next-generation autonomous rover designed to explore the Moon’s South Pole–Aitken basin and collect scientifically valuable samples for future return to Earth by Artemis astronauts. Because the rover must travel long distances with limited onboard computing power and under extreme lighting conditions, it must navigate using camera images captured […]

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L2M – Autonomous additive manufacturing system (AAMS)

This project aims to evaluate the industrial need and market readiness for an Autonomous additive manufacturing system (AAMS) designed to improve the quality, consistency, and efficiency of metal additive manufacturing. By engaging directly with industry partners across key sectors, the project will identify where production variability, defects, and reliance on highly skilled operators create the […]

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L2M-The development of eco-friendly and renewable bioplastic materials from agricultural and food waste streams

This project will help BioPolatis turn their 100% compostable bioplastics into a market-ready product. The intern will research potential customers, test business ideas, and develop a clear commercialization strategy. By the end of the project, BioPolatis will have actionable steps to grow their business, scale production, and enable companies to adopt sustainable packaging solutions. This […]

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Modeling of Electrochemical Hydrogen Compression

This project aims to improve the performance of electrochemical hydrogen compressors (EHCs), which are used to recover and compress hydrogen for clean energy systems such as fuel cells. During operation, some hydrogen is lost, increasing cost and reducing efficiency. The performance of EHCs depends strongly on how hydrogen and water move through the polymer membrane […]

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L2M – Rapid Fabrication of Cell Sheets for Advanced Burn Care

This project will help reduce the market and adoption risk for our rapid-manufacture, bioactive dermal regeneration cell-sheet technology for complex wounds such as extensive full-thickness burns. Over four months, the intern will speak with key stakeholder to confirm the most important unmet needs, identify the best first clinical use case, and clarify what proof and […]

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Caractérisation de filtres d’air biosourcés à base de cellulose par la technique d’électrofilage pour la captation de contaminants particulaires

La pollution de l’air causée par les particules fines constitue un enjeu majeur de santé publique et environnemental. Les filtres à air conventionnels, généralement fabriqués à partir de polymères synthétiques non biodégradables, posent des problèmes de durabilité et de gestion en fin de vie. Dans ce contexte, ce projet vise à développer des filtres à […]

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Optimisation des propriétés physico-chimiques du biochar par approche hybride : De l’expérimentation haute précision à la prédiction par intelligence artificielle

Face à l’urgence climatique, la séquestration du carbone via le biochar représente une solution durable pour atténuer les émissions de gaz à effet de serre. Cependant, la variabilité des propriétés physico-chimiques du biochar selon la biomasse et les paramètres de pyrolyse freine son adoption industrielle. Ce projet de recherche, réalisé à l’UQAT en collaboration avec […]

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Computational fluid dynamics modelling of wastewater aeration and nitrous oxide emissions

This project will develop a flexible computer modeling tool to help wastewater treatment plants reduce nitrous oxide (N2O) emissions, a potent greenhouse gas. Currently, scientists disagree about which mathematical models best predict N2O emissions, and testing different models requires months of programming work. During a 16-week research visit to the Karlsruhe Institute of Technology (KIT) […]

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The effectiveness of stormwater ponds in water quality management

Stormwater ponds are widely used across urban areas to improve water quality, yet their actual long-term performance under different design standards remains poorly quantified. This project will evaluate how efficiently these ponds remove sediment and associated pollutants by applying a mass-balance approach and tracking deposition rates through time. Although the technology is assumed to work, […]

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Conductive and printable hydrogel with wet-adhesive properties

Electrical stimulation therapy has shown significant potential for activating neural precursor cells, which can undergo activation, differentiation, proliferation, and cathodal migration under an applied electrical field. Currently, this relies on rigid metal electrodes or micro-fabricated soft electrodes, both of which require transportation to the treatment site and surgical implantation. These approaches can lead to complications […]

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Sequential optimal experiment design for an industrial polymerization process

This project aims to develop an accurate model of an industrial polymerization process using a minimal number of experiments. The approach combines basic physical understanding of the process with data-driven modeling techniques to efficiently capture process behavior. An adaptive experimental design strategy will be used, where each experiment is chosen based on results from previous […]

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