AVIO 1603: Cosmic radiation In-flight Measurement and real-time analysis for Electronic Systems and passenger protection (CIMES)

Due to increasing miniaturization, future systems will be made of components that are more energy efficient and at the same time more sensitive to external radiation. To ensure that future systems remain protected against cosmic radiation and single events, aircraft and flight systems manufacturers must collect in-flight data for cosmic radiations and develop a global […]

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Data-driven Innovation for the Supply Chain and Retail Industry

The project is a partnership between Polytechnique Montréal, HEC Montréal, UQAM and JDA Canada. JDA Labs is investigating new approaches to help incorporate “big data” science and analytics into everyday supply chain decisions. It relies on new approaches that employ sensor technologies, new analytic capabilities and simulation techniques to not just sense and respond, but […]

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MDO-1601 : Multidisciplinary Framework for Optimization of wingboX – 1a

The proposal aims at improving the design process of a wingbox by focusing on the disciplines using the finite element model. The Ecole Polytechnique de Montréal will provide improvements on the aerodynamic loads, create topology optimzation set-up and tools for sizing the structure and develop an image-based methodology for monitoring and measuring the deformation of […]

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Liver cancer detection using recent advances in deep learning

Approximately half of today’s population will be affected by cancer during its lifetime. Knowing that the earlier cancer is detected, the better the life expectancy, accurate radiological detection can make the difference between life and death. Primary liver tumor, known as hepatocellular carcinoma (HCC), and secondary liver tumor (metastasis) represent, in aggregate, the second most […]

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Développement d’un LLM capable de générer automatiquement du texte sous contraintes à des fin d’utilisation en orthophonie

La mission de PhonIA est d’aider les écoles, les orthopédagogues, les orthophonistes et les enseignants à mieux accompagner les élèves présentant des difficultés d’apprentissage. PhonIA a donc développé des outils automatisés de dépistage, d’évaluation et de suivi des difficultés d’apprentissage disponibles via une plateforme numérique. Ces outils permettent d’optimiser et d’améliorer les services professionnels. Les […]

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Optimization of porewater extraction techniques to evaluate thiosalts formation and mobility in unsaturated tailings

Large volumes of mineral waste are inevitably generated as mineral resources are critical for economic development, technology innovation and energy transition. Tailings storage facilities (TSF) store mineral waste that initially remain exposed to precipitation and atmospheric conditions. This leads to a series of geochemical reactions releasing dissolved constituents in tailings porewaters. Hydrogeological conditions play a […]

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Développement d’un agent d’intelligence artificielle pour l’automatisation de la facturation et du suivi des paiements au sein des PME

Le projet consiste à développer un agent intelligent qui aide à automatiser la gestion des factures et des paiements dans un logiciel comptable appelé SAGE. Cet agent imitera les actions des employés : il lira les messages liés aux paiements, enregistrera les informations dans le système et assurera un bon suivi des opérations. L’avantage pour […]

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Making Medical AI Smarter, Adapting Language Models for Real-World Healthcare

This international project brings together researchers from Canada and Japan to improve the accuracy and reliability of artificial intelligence (AI) in healthcare. The goal is to enhance how large language models (LLMs)—the technology behind tools like ChatGPT—respond to medical questions by grounding them in verified facts. At the National Institute of Informatics (NII) in Tokyo, […]

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Stage en intelligence artificielle – Optimisation du jumelage talent-opportunité à l’aide de l’intelligence artificielle appliquée au recrutement

Le projet vise à structurer et exploiter la base de données de NexWav afin d’entraîner des modèles prédictifs avancés en intelligence artificielle. Cette initiative permettra de : • Optimiser le jumelage entre candidats et opportunités : en identifiant les meilleures correspondances entre les profils des talents et les besoins des entreprises, réduisant ainsi le temps […]

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Reliable, Continuous, and Safe Updates of Digital Twin Services

The intern Mr. Andersen will travel from Aarhus University, Denmark to Polytechnique Montréal, Canada, to research the engineering of Digital Twins (DTs). DTs are virtual representations of physical systems, like the concrete mixing machine which is the focus of this project. Mr. Andersen will work with Prof. Bentley Oakes on the research problem of ensuring […]

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L2M Validation / Qc Automne 2025 / Polarys Data (projection pour le nom de l’entreprise)

Polarys Data est un projet qui vise à aider les gouvernements à mieux utiliser les données publiques pour prendre des décisions plus efficaces. Actuellement, ces données sont souvent dispersées, difficiles à consulter et à comprendre, ce qui ralentit les processus et augmente les coûts. Polarys propose de rassembler automatiquement ces données dans une plateforme intelligente […]

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