L2M QC Spring 2025 | Social Worker Safety and Reporting Application – SafeSocial

SafeSocial is a mobile and web application designed to improve the safety and efficiency of social workers during home visits. By providing real-time monitoring, emergency response, and AI-powered incident reporting, the app helps social workers feel more secure and supported in the field. Key features include a panic button, live location tracking, risk assessments, and […]

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L2M QC Spring 2025 | Robust THz technology for efficient and secured data exchange

The surge in data driven by economic expansion has increased the demand for fast, reliable internet. However, existing technologies struggle to keep up, causing video buffering, game lag, and slow file transfers. At the same time, rising cyber threats make data security a top concern, with high-profile breaches compromising millions of users and causing financial […]

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Using Thermal Feedback for Spatial Awareness in Virtual Reality

In this project, we will utilize thermal feedback for target position identification in a virtual environment, e.g., allow users to know the location and distance of a virtual object with respect to their position based on the location and intensity of the thermal feedback. Our goal is to design and develop a new VR application […]

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Supermassive Black Hole Masses in Lensed Galaxies

The past decade has revolutionized the astronomical observation of black holes. In 2015, the gravitational waves generated by the merger of two black holes were detected, which confirmed the predictions of general relativity and led to a Nobel prize. In 2019, an array of telescopes spread across the globe took the first image of a […]

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Impact of technostress on well-being and job satisfaction in Global Virtual teams

This research project aims to examine the impact of stress related to technology use on the well-being and job satisfaction of employees working in Global Virtual Teams. With the increasing use of digital tools like Microsoft Teams and Zoom, these teams must constantly adapt to technological changes, which can cause stress and affect their well-being. […]

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Modèles prédictifs pour la transmission d’information à énergie minimale

Les codes de correction d’erreurs (ECC) sont utilisés dans la grande majorité des systèmes de transmission et de stockage de données puisqu’ils permettent une importante réduction de la puissance du signal émis (ou stocké), et permettent donc à l’émetteur de consommer moins d’énergie. Malheureusement, les bons codes de correction d’erreurs nécessitent une quantité importante d’énergie […]

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Caractérisation de micro-commutateurs MEMS pour des applications cryogéniques et quantique

Dans le cadre d’un projet de recherche, des micro-commutateurs MEMS ont été fabriqués sur une ligne de prototypage industrielle 200 mm. Ces dispositifs millimétriques sont compacts et consomment très peu d’énergie, ce qui les rend particulièrement intéressants pour des environnements cryogéniques nécessitant une dissipation de chaleur minimale. Ce projet vise à évaluer les performance et […]

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Metaverse plugin

Development of a system (template, plugin, API) to integrate cloud based services such as GIS, IoT and interactive gaming streams into a browser based user interface.

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Data collection and cross-domain representation models for trajectory analysis

Due to the vast amount of available tracking sensors in recent years, high-frequency and high-volume streams of data are generated every day. Such tracking sensors include but are not limited to vessel, airplane or vehicle tracking data, drones, smartwatches and smart bands as well as cameras and earth observation sensors. Despite the overabundance of data […]

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Software Bug Detection using Federated Learning Models: A Comparative Study

This research aims to advance the field of federated learning by addressing privacy, domain shifts, and personalization challenges, particularly in the context of mobile and digital healthcare. By developing robust and scalable solutions, the proposed framework has the potential to significantly enhance patient care, diagnostics, and personalized treatment while maintaining stringent privacy standards

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Cooperative Real-Time Direct-to- Satellite IoT Connectivity

This research project aims to establish cost-effective and reliable internet connectivity for critical applications in remote areas through Low Earth Orbit (LEO) satellites, leveraging innovative cooperative resource-sharing and optimization techniques to improve connectivity and response times.

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