Estimation non paramétrique dans le cadre du q-calcul en élaborant un estimateurs des fonctions q-densités des q-distributions avec application aux données du vivant

Le calcul quantique, ou q-calcul, constitue une approche moderne de l’analyse mathématique dans laquelle les opérateurs différentiels et intégrals classiques sont généralisés par des opérateurs dépendant d’un paramètre q. Ce cadre établit un lien fécond entre les mathématiques et la physique (Yamano, 2002) et possède de nombreuses applications dans les probabilités, la théorie des nombres, […]

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Characterization of novel nanoparticle-stabilized foam using the local equilibrium (LE) implicit texture model for EOR and CO2 storage

The project focuses on using novel method to maximize oil recovery. It is carried out through both experiment study in core scale and simulation research in field scale. The new knowledge that will be accrued will be the culmination of a truly collaborative approach. First and foremost, Canada and Newfoundland and Labrador will gain immensely […]

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L2M-Quiecean

Quiecean develops a Cold Atmospheric Plasma (CAP) device that reduces underwater noise and pollutants to protect marine ecosystems. The project validates its technical design and business model for commercialization in Canada’s blue economy.

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TRLUP- Equlantic Aquatic Monitoring Inc,

Equlantic is a water quality monitoring company developing advanced technology to support countless sectors that rely on sound water quality data. Our modular sensor suite collects high-resolution, real-time data across key chemical, physical, and biological parameters in aquatic environments. By closing critical data gaps, Equlantic enables companies to accurately understand the aquatic environments they are […]

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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 – Clean Hydrogen and Ocean Alkalinity Enhancement through Bipolar Membrane Electrodialysis

This project aims to advance a clean technology that uses an electrodialysis process to remove acidity from seawater while producing green hydrogen. Using seawater and renewable electricity, the system removes excess acidity, encouraging ocean carbon uptake. The result is de-acidified seawater capable of absorbing more carbon dioxide, while simultaneously producing green hydrogen as a valuable […]

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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-A Triboelectric Nanogenerator-Based Strategy to Minimize Battery Dependence in Ocean Sensing

We are developing a self-powered ocean-energy system that reduces reliance on conventional batteries by using triboelectric nanogenerators (TENGs) to harvest energy from ocean waves, currents, and wind. Unlike many existing technologies that struggle with low-frequency and unpredictable motion, TENGs are lightweight, low-cost, and highly efficient at capturing irregular, low-frequency energy. With nearly 70 % of […]

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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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L2M-Digitalizing On-Demand Inventory with AddManuChain Platform: An Innovative Bridge between AI and Additive Manufacturing for Sustainable Industrial Operations

The project aims to prove and commercialize AddManuChain, a computerized inventory system that will deploy on-site 3D printing to print certified parts on location at the remote industrial sites, including offshore oil platforms, mining operations, and also in the maritime facility to eliminate the expensive effect of long downtimes incurred during part replacement. The project […]

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L2M –Next-Generation Marine and Offshore Components via Canadian High-Entropy Alloys and Laser Powder Bed Fusion (LPBF)

This project focuses on developing next-generation marine and offshore components using high-entropy alloys (HEAs) derived from Canadian resources and manufactured through Laser Powder Bed Fusion (LPBF), an advanced metal additive manufacturing technology. The marine and offshore oil and gas industries operate in some of the world’s most corrosive and mechanically demanding environments, where corrosion, fatigue, […]

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L2M – PORT-EM: Smart Port Energy & EV Infrastructure Management

The transition to low-carbon ocean economies requires innovative energy solutions for ports and coastal communities, where electrification of ships, ferries, and vehicles is accelerating. Building on prior research in probabilistic EV charging demand forecasting, energy consumption modeling, and emissions analysis, this project proposes a Smart Port Energy and EV Infrastructure Management Platform. The system integrates […]

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