TRLUP – NovaAI Solutions

NovaAI Solutions will offer a suite of secure and customizable AI services designed for local businesses, including inventory forecasting using sales patterns and seasonal data, email categorization to help businesses prioritize important messages, automated reporting and business analytics summaries, offer admin task automation and document processing, and review and feedback analysis for actionable insights. The […]

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Scaling up smoothed particle hydrodynamics simulations with GPUs

Astrophysical simulations require significant computational resources. Most high-performance supercomputing clusters nowadays include a complement of graphics processing units (GPUs), as these have been shown to be highly efficient in terms of computation for the amount of energy consumed. Using only the CPUs (central processing unit) of a supercomputer leave the GPUs underutilized, wasting their potential. […]

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TRLUP – Smart Vibration Sensing for Appliance Monitoring and Predictive Maintenance

This project will advance a classroom prototype called Laundri-Buddi toward a market-ready product. Laundri-Buddi is a smart, battery-powered sensor that uses vibration sensing to monitor the activity of appliances such as washing machines, dryers, and small industrial equipment. The device detects when a machine’s operational cycle starts and ends, and wirelessly sends that information to […]

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Développement d’un système d’intégration et d’augmentation des données pour la détection des fractures atypiques et complexes en utilisant des infrastructures de calcul avancées

Ce projet vise à développer un système intelligent pour aider les médecins à détecter et segmenter avec précision les fractures osseuses atypiques et complexes à partir d’images médicales comme le scanner (CT) ou l’IRM. Ces types de fractures sont particulièrement difficiles à identifier avec les méthodes traditionnelles en raison de leur rareté, de leur diversité […]

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Experimental Study of Low Dimensional Bose Gases

Trapped ultracold atoms are one of the primary platforms enabling the development of quantum computation and simulation. Continued scaling towards large, robust quantum mechanical systems relies on our ability to exert increasing levels of control over these atomic systems. The team working on the Rubidium-87 experiment at Collège de France have demonstrated unprecedented precision manipulation […]

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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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Revue systématique sur l’utilisation des technologies en prévention des troubles des conduites alimentaires : portrait des approches actuelles et recommandations

Le projet vise à identifier les modalités technologiques (ex., application mobile, messagerie instantanée, jeux sérieux, etc.) utilisées dans les interventions existantes pour prévenir les TCA; et comparer leurs efficacités. De plus, ce projet examinera les différents publics cibles et les caractéristiques des individus ciblés par les interventions numériques existantes pour prévenir les TCA. Cela inclut, […]

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Assistive Robotics Teleoperation and Autonomy Software Integration

This project aims to enhance Independence Robotics’ assistive robotic system by making it more powerful, modular, and reliable. We will upgrade the system’s hardware by transitioning from an Arduino Mega to an ESP32 microcontroller and integrating CAN bus communication for better sensor and actuator support. On the software side, we will develop real-time teleoperation controls […]

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Biosignal Transformers for Advanced Blood Pressure Waveform Analysis

This project aims to develop advanced machine learning models to analyze arterial blood pressure (ABP) waveforms from patients in intensive care units (ICUs). By using a large dataset and cutting-edge techniques like transformer architectures and contrastive learning, the goal is to create models that can accurately predict patient outcomes, such as ICU mortality and hospital […]

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Enhancing light-matter interactions with intercalated transition metal dichalcogenides

This research project pioneers the development of novel molybdenum disulfide (MoS2)/copper hybrid materials through electrochemical intercalation and exfoliation techniques. By transforming readily available powdered molybdenite—a byproduct of Canadian mining operations—into atomically thin layers with enhanced properties, the work creates a sustainable pathway for producing high-performance two-dimensional materials without organic additives that typically compromise conductivity. The […]

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Augmented Reality Second Language Acquisition Support

This project aims to develop and evaluate an advanced augmented reality (AR) and artificial intelligence (AI)-based system designed to enhance conversational fluency for intermediate-to-advanced language learners. By integrating language practice into everyday environments, the system will offer immersive and interactive learning experiences without reliance on traditional classroom instruction or physical conversation partners. Existing literature indicates […]

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L2M QC Spring 2025 | Tools for the automation of auditing of smart contracts for blockchain applications

The increasing adoption of blockchain technology, particularly in decentralized finance (DeFi), highlights the critical need for automated and efficient auditing tools for smart contracts and transaction monitoring. Traditional manual auditing methods are slow, labor-intensive, and insufficient to manage the growing complexity of smart contracts. By integrating AI-based techniques, this project aims to develop automated tools […]

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