Ergo4all (ANALYSE DE LA POSTURE ET RÉTROACTION À L’USAGER DE DHM)

Les logiciels actuels de DHM (Digital Human Modeling ou d’ergonomie virtuelle) destinés à la conception de situations de travail et de produits demeurent difficiles à utiliser ce qui en limite grandement l’utilisation par les concepteurs et les ergonomes. Pourtant, l’utilisation plus répandue de DHM permettrait d’en arriver à des environnements de travail plus sécuritaires et […]

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Ergo4all (Caractérisation des usagers types de DHM)

Les logiciels actuels de DHM (Digital Human Modeling ou d’ergonomie virtuelle) destinés à la conception ergonomique de situations de travail et de produits demeurent difficiles à utiliser ce qui en limite grandement l’utilisation par les concepteurs et les ergonomes. Pourtant, l’utilisation plus répandue de DHM permettrait d’en arriver à des environnements de travail plus sécuritaires […]

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Analyse rétrospective de l’activité de dimensionnement de projets de véhicule de transport (voiture et véhiculeindustriel

Des représentations digitales humaines (RDH) 3D et manipulables dans l’environnement natif d’un outil de CAO, comme CATIA, ont l’avantage de permettre la réalisation de simulation dynamique. De plus, aujourd’hui les avancées technologiques constituent une piste prometteuse pour dimensionner le produit très tôt dans le processus et pour explorer à moindre cout différentes avenues conceptuelles. Si […]

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Turbulence-driven flow control for efficient passive and active battery cooling in electric vehicles

This project aims to develop advanced hybrid cooling strategies for electric vehicle (EV) battery systems by integrating turbulence-enhanced flow control with passive air and active liquid cooling methods. Using an unsteady Reynolds-averaged Navier-Stokes k-omega model, the research will investigate the role of turbulence in improving heat dissipation, temperature uniformity, and overall thermal performance. By combining […]

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Developing Magnetic Field Maps to Enable the Effective Use of Quantum Magnetometers as a Supplement to Conventional Sensors

This project explores how quantum magnetometers—highly sensitive sensors that detect variations in the Earth’s magnetic field—can enhance positioning systems in urban environments where GPS signals are weak or obstructed. The research involves collecting magnetic field data across selected city areas to create detailed magnetic field maps. These maps will help determine how stable and reliable […]

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Linear array CMUTs for medical imaging applications

We propose the construction of novel ultrasound transducer structures based on existing MEMS technology that has been in development through collaboration between Micralyne and Prof. Roger Zemp. We will be exploring linear array transducers intended for medical imaging, and individual transducers for automotive use for ultrasound range finding. We will undertake the design, modelling, fabrication, […]

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L2M QC Spring 2025 | Nextdriv – An Integrated Decision-Support Platform for EV Fleet Transition and Optimization

Nextdriv is a user-friendly platform that helps fleet operators plan and manage the switch to electric vehicles. By using smart tools and data analysis, it makes it easier to choose the right vehicles, optimise daily operations, and even take advantage of energy market opportunities. For our partner organisation, this means a smoother, more cost-effective transition […]

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Comprendre les accidents de la route : une modélisation micro

Ce projet de recherche, dirigé par une chercheuse en sciences économiques dans le cadre du programme Mitacs Globalink, vise à analyser les accidents de la route en Tunisie en utilisant des méthodes avancées d’analyse spatiale pour identifier les zones à haut risque, ou “zones noires”. Avec une base de données de 30 000 accidents couvrant […]

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L2M – Optimizing Energy Efficiency in Sea Transportation Using Machine Learning

Our project tackles the critical challenge of optimizing energy efficiency in electric boats, a vital issue in the growing market of sustainable marine transportation. The primary problem lies in the inefficient energy consumption of electric motors used in electric boats when navigating varying wave conditions, leading to reduced range and increased operational costs. This research […]

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Timed Monitorability in Theory and Practice

We will investigate a decision procedure for the monitorability of timed-properties of software controlled systems. A property defines a behaviour that a system is expected to exhibit, or in some cases, to not exhibit. In Runtime Verification, a property is monitorable if it is possible to construct a monitor that can detect the system’s conformance […]

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Development of an Inline Testing Method for Resistance Spot Riveting

Dissimilar-material joining is becoming increasingly sought after in several industries – including automotive, aerospace, and rail – due to the potential to improve vehicle weight reduction and efficiency while maintaining safety and structural strength. Resistance Spot Riveting (RSRTM) is a novel joining technology designed to enable inexpensive, efficient, and effective dissimilar-material joining. As it stands, […]

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