L2M – FishNet Map: A Satellite-Based Fishing Hotspot Mapping Service

The FishNet Map project aims to create a practical, user-friendly mapping service that helps identify fishing hotspots in near real-time using satellite observations and environmental data. By integrating multi-source satellite observation with real-time weather and sea-state forecasts, the platform pinpoints optimal fishing zones, predicts hotspot shifts, and flags risks such as storms or restricted areas. […]

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L2M-COASTAIR

Coastal and marine pollution is draining ecosystems and budgets across Canada and beyond, yet we still check shorelines with clipboards or wait for low-resolution satellite passes. The result: blind spots, slow responses, and costly cleanups. COASTAIR flips that script. Our AI-enabled aerial platform pairs agile drones with RGB and hyperspectral cameras to spot, classify, and […]

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L2M – AI-Driven Cybersecurity for Ocean Critical Infrastructure

This project will develop an AI-powered cybersecurity system to help protect important ocean infrastructure, starting with offshore energy systems such as oil and gas, wind and tidal farms. These facilities are becoming a key part of Canada’s clean energy future but are also vulnerable to cyberattacks that could cause costly shutdowns or disruptions. The project […]

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L2M: AI-assisted marine ecosystem monitoring

This project aims to turn raw underwater video into decision-ready science. Our software automatically detects, classifies, and counts marine species, then delivers results in a simple web dashboard with linked video clips, maps, and exportable reports. Instead of annotating from scratch, ecologists just review and correct AI suggestions—cutting review time by more than half. Built […]

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TRLUP – AI-Powered Drones for Infrastructure and Industrial Inspection

Aeronovous delivers AI-powered drone inspection solutions for infrastructure, industrial equipment, and wind turbines, with this internship specifically focused on wind turbine applications. The traditional inspection industry relies on costly and inefficient manual methods—rope-access technicians, prolonged turbine outages, and highly variable reports influenced by crew experience and weather conditions—creating significant safety risks, operational downtime, and inconsistent […]

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L2M – AI-optimized RF energy harvesting and Simultaneous Wireless Information and Power Transfer (SWIPT) platform

Ocean technology companies and research organizations rely on autonomous sensors, buoys, and communication nodes to monitor marine environments and support offshore operations. While these devices provide essential data, their dependence on batteries creates high servicing costs, logistical challenges, and limited deployment lifetimes in harsh marine conditions. Overcoming these limitations is critical for enabling sustainable, long-term […]

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Investigation of state-of-the-art tools and methods for analysis of PTSD using neurovisualization

This project investigates existing and potentially new approaches to analyze functional brain structures in individuals with post-traumatic stress disorder (PTSD), using advanced neuroimaging such as fMRI, and machine learning. The goal is to identifying patterns built on dependent features within the images representing the connectivity matrices of brain regions. The project will investigate whether causal […]

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CAIJ: Encodeur sémantique juridique franco-québécois

CAIJ: Extraction de Domaines et Sous-Domaines de Droit Principales activités du partenaire : Le Centre d’accès à l’information juridique (CAIJ) souhaite renforcer son moteur de recherche en y intégrant des techniques avancées de recherche sémantique. L’objectif de ce projet est d’encoder de façon sémantique tous les contenus textuels du CAIJ pour améliorer son moteur de […]

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CAIJ: Extraction de Domaines et Sous-Domaines de Droit

CAIJ: Extraction de Domaines et Sous-Domaines de Droit Principales activités du partenaire : Le Centre d’accès à l’information juridique (CAIJ) cherche à renforcer ses capacités d’indexation et de classification automatique des jugements. L’objectif de ce projet est d’extraire, à partir du texte intégral des jugements, les domaines de droit (ex. : Famille, Fiscal, Administratif) et […]

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Multimodal Sensing and Analytics for Remote Aquatic Ecosystem Monitoring

This project develops a unified multimodal sensory analytics framework to monitor remote aquatic ecosystems using video, sonar, and environmental sensors. By combining these complementary data sources, the system can operate continuously across a range of challenging conditions such as low visibility, night-time, or remote locations with limited infrastructure. The project is a collaboration between Simon […]

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La protection juridique des données de santé dans les systèmes algorithmiques

Ce projet part du constat que le domaine de la santé n’est désormais plus l’apanage seul des acteurs publics, car de plus en plus de renseignements personnels relatifs à la santé sont captés et exploités par des acteurs économiques privés pour développer des dispositifs numériques “intelligentes”. Longtemps dépourvue d’une définition juridique, la notion de « […]

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Optimisation des flux de production et d’autoconsommation d’énergie par intelligence artificielle au sein de communautés d’énergies intelligentes

Le projet s’inscrit dans le cadre d’une thèse qui vise à étudier la faisabilité de l’autoproduction et de l’autoconsommation électrique d’une communauté (un “social solar club”) et évitant au maximum les pics de consommation qui dépassent la capacité de production de la communauté. En France, un système mis en place par le distributeur national (EDF) […]

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