Macro and micronutrient measurements in hydroponics

Environmental conditions (temperature, humidity, light, air movement, CO2 and nutrient levels) are carefully monitored in controlled environment agriculture (CEA) to optimize indoor crop production. Irrigation management is prioritized to ensure nutrient availability to plants, water use efficiency, prevent plant nutrient diseases, maximize crop yield and boost desired phytochemical profiles for a given crop. Automated irrigation […]

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AI for Airplane Engine Inspection

This project aims to develop an AI-powered visual inspection system using image data from P&WC’s existing Computer Vision Inspection System (CVIS) to enhance aircraft engine assembly issue detection. By leveraging deep learning techniques, the proposed solution will address current limitations in accuracy and consistency, targeting a 100% visual detection rate for anomalies such as: part […]

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A Scalable Nitrous Oxide (N2O) Emissions Predictor Utilizing Fuzzy Logic and Impulse Response Measurements

Nitrous oxide (N2O) is a powerful greenhouse gas with a global warming potential 298 times that of CO2, significantly contributing to climate change through agricultural activities, particularly the application of fertilizers. Accurate and scalable prediction of N2O emissions is essential for sustainable agriculture and climate mitigation. Current methods, such as LSTM-DLM neural networks proposed in […]

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Airmarket-iART Safety Assessment

Transport Canada is the regulatory agency in Canada that oversees the certification of RPAS (Remotely piloted aircraft systems) and has presented a roadmap for RPAS manufacturers to demonstrate the evidence that a given platform can meet safety objectives. The project will be completed by the iART alliance and aims to develop the technical evidence required […]

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Motor-powered pediatric prosthetic knee joint

Prosthetic knees are essential for transfemoral amputees, enabling more natural movement, reduced energy use, and increased independence. Active prosthetic knees (APKs), which use motor-powered actuation to mimic muscle function, further improve gait efficiency, balance, and weight distribution—benefits especially crucial for children. However, current APKs are designed for adults and are too heavy and bulky for […]

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Quantum-Enhanced Double DQN for Real-Time Bus Scheduling: A Comparative Study

Efficient real-time scheduling of bus operations remains a critical challenge in urban transit systems, particularly under uncertain traffic conditions and high passenger demand variability. Our existing Double Deep Q-Network (Double DQN) implementation has demonstrated promising results in learning optimal holding and stop-skipping policies for bus operations. However, as urban networks grow in complexity and require […]

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Phytoextraction of metals in leachate through crop irrigation

This project aims to explore the uptake of metals in leachate water by Tallwheatgrass phytoextraction. Leachate water is costly to treat and often requires off-site transportation. In addition to being cost intensive, this is also a high energy consuming process. By utilizing phytoremediation, we can provide a sustainable, affordable, and environmentally friendly alternative to shipping […]

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Optimisation des processus de l’entreprise par la mise en place d’un ERP

Dans le cadre de ce stage, le stagiaire participera activement à un projet stratégique visant à implanter un système ERP (Enterprise Resource Planning). Ce logiciel est essentiel à la transformation numérique de l’entreprise, car il centralise la gestion des processus opérationnels au sein d’un système intégré unique. Le stagiaire jouera un rôle clé en contribuant […]

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L2M Launch / Qc Fall 2025 / Advanced MicroTesting

Le projet a pour objectif de commercialiser LOTUS-X1, un banc de test universel pour puces électroniques alliant haute performance et coût réduit. Actuellement, les chercheurs en microélectronique doivent concevoir et programmer un banc de test spécifique pour chaque puce, ce qui mobilise un temps considérable et complique la reproductibilité. LOTUS-X1 centralise tous les outils, génération […]

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Smart Bearing Development by Integrating FBG Sensors with Temperature Compensation

Rolling bearings are essential components in rotating machinery. The growing demand for real-time condition monitoring has led to the development of smart bearings integrated with advanced sensors. However, conventional sensing technologies often suffer from limited sensitivity, a lack of temperature compensation, and installation difficulties. Fiber Bragg Grating (FBG) sensors offer a promising alternative, featuring high […]

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TRLUP – Seanetik

Seanetik est une startup québécoise issue du projet de fin de baccalauréat d’étudiants en génie mécanique et robotique à l’Université de Sherbooke. L’équipe mixte et multidisciplinaire développe une technologie innovante de nettoyage de coques de navires submergé, dans le but de réduire les émissions causées par l’accumulation de biosalissures, tout en assurant un contrôle sur […]

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