Antennas and Lenses for Lunar Mission Applications

This project focuses on revolutionizing space communication through the design and optimization of customized conical horn antennas tailored specifically for space applications. Horn antennas are pivotal in facilitating efficient communication in space, offering unmatched versatility in controlling radiation patterns and providing high efficiency. This project aims to optimize horn antenna geometries and design metrics by […]

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Vision-based Maneuver Classification for Autonomous Driving

The proposed research project aims to address the challenge of accurately detecting and classifying complex driving maneuvers in real-world conditions. Partnering with Matt3r Technologies Inc. in Vancouver, BC, this research will develop a deep learning model that uses multiple types of data, such as dashboard video, to achieve maneuver detection for autonomous vehicles. This innovation […]

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Remote Video Surveillance using LEO Satellites Communications

Video surveillance systems have rapidly expanded, driven by their critical roles in security and traffic monitoring. This expansion has produced vast data volumes, causing bottlenecks in communication systems due to the time-sensitive and bandwidth-intensive nature of surveillance data. To address these challenges, research has increasingly focused on developing algorithms to compress redundant data effectively, evolving […]

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Deep Learning for Acoustic-based Pipe Leak Detection

Current leak detection methods for water pipelines, such as fixed acoustic devices and Pipeline Inspection Gadgets (PIGs), require shutting off the water supply and are often impractical for field inspections. These methods demand extensive workforce and time and often fail to detect smaller leaks effectively, leading to significant water loss, increased operational costs, and potential […]

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L2M QC 2024 – «SysNergie – Fabrication de modules et de blocs batteries lithium-ion modulaires pour application stationnaire.»

Le projet de stage en stratégie d’entreprise du stagiaire se concentre sur la validation de marché pour les batteries innovantes développées par l’entreprise, spécifiquement destinées aux applications de stockage d’énergie stationnaire. L’objectif principal de ce projet est d’évaluer la demande et le potentiel commercial de ces batteries sur différents segments de marché. Cela implique une […]

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Development of novel isolator for seismic application

The proposed semi-active rolling seismic isolation system offers an innovative solution to address limitations in passive isolators when exposed to near-fault seismic waves with velocity pulses. Passive isolators effectively control acceleration responses against typical far-field seismic waves but can allow excessive displacement responses during near-fault events, risking collisions and structural damage. This system integrates sloped […]

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Additive Manufacturing for Prototype Development in Prosthetic Treatment Delivery

Beacon Ortho hopes to identify and deliver additively manufactured devices to improve the patient experience, improved fit and comfort, and to reduce the extremely high amount of input waste in fabrication of prosthetic devices. This project aims to test additively manufactured trial devices against moulded thermoplastic trial devices, and composite definitive devices. Using ISO 10328 […]

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L2M – A Hybrid B-Mode + Ultrafast Doppler Imaging scheme for Miniaturized High Resolution Ultrasound-Guided Tumor Resection

Glioblastoma (GBM) is an aggressive brain cancer with a five-year survival rate of less than 5%, primarily due to the tumor’s high recurrence rate. The critical challenge in GBM treatment is extending patient survival while maintaining quality of life. Current minimally invasive surgical techniques for GBM involve using endoscopic tools guided by optical microscopes and […]

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Numerical Simulations for Plowing Soil Process

The industrial drainage plow is a mechanized tool used for the installation of agricultural drainage and land reclamation. This research aims to optimize the plow’s shape for various soil conditions to increase the tile installation speed and the service life, and to reduce the drag force, which will reduce the fuel consumption. Numerical methods will […]

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L2M – Biomimetic biointerfaces for high throughput in vitro modeling of gut-pathogen interactions

The recognition of gut microbiota, its interplay with human tissues and cells, and the signaling pathways they could generate in concrete with together, specially once imposed to gastrointestinal medications, encouraged researchers designing and establishing bioengineered platforms, enable to serve as a discovery tool for developing of microbiome-related therapeutics, monitoring medications combating detrimental effects of antimicrobial […]

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L2M – EcoTruck Smart Navigator: An AI-powered software for range map prediction and route optimization for electric trucks

The proposed project, EcoTruck Smart Navigator, aims to develop an AI-powered software solution that helps electric truck fleets optimize their routes and improve range estimation. By refining and testing our prototype, we will provide fleet operators with a tool that reduces travel time and energy consumption, addressing key challenges in the transition to zero-emission vehicles. […]

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