BEES App transition

Labatt is transitioning customers from the current BEES ordering platform to the upgraded Canadian BEES App, which introduces new features and incentives, including improved navigation, personalized product suggestions, in-app promotions, BEES rewards, push notifications, and streamlined ordering workflows. While the enhanced app provides significant mutual benefits for both Labatt and its retail partners, customer adoption […]

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L2M – WindChat Intelligence: Conversational AI for Wind & Hydrogen Site Screening

The wind energy industry currently relies on a fragmented workflow involving multiple disconnected and expensive software tools for site assessment, energy calculations, and reporting. This inefficiency limits the number of sites developers can evaluate and creates a high barrier to entry for smaller developers and community projects. This project, titled WindChat, focuses on validating a […]

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L2M – GNSS Reflectometry Techniques for Monitoring Local Sea State

This project explores the use of GNSS reflectometry as a simple way to observe local sea conditions from the shoreline. The work focuses on understanding how signals from navigation satellites can be used to estimate changes in sea level and surface state without placing equipment in the water. During the internship we will study the […]

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L2M-Blue Beauty Innovation: Sustainable Seaweed Bioactives for Cosmetics and Skincare

Title “Blue Beauty Innovation: Sustainable Seaweed Bioactives for Cosmetics and Skincare” This project explores the potential of using natural compounds extracted from sugar kelp (Saccharina latissima), a seaweed that grows abundantly in Atlantic Canada, as safe and effective ingredients for skincare and cosmetic products. Around the world, consumers and companies are looking for cleaner, more […]

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L2M – TerraFire Intelligence Platform: An Integrated Solution for Predictive Wildfire Intelligence

Wildfires create serious threats to communities, infrastructure, and natural environments across Canada. Many regions face fires that grow faster and burn hotter due to climate change, dry conditions, and limited access to real-time information. Current tools often fail to provide timely or accurate understandings, especially in remote or northern areas where ground reports arrive late […]

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L2M – Molecularly imprinted polymers optimized by Hansen solubility parameters for the extraction of phenolic compounds from water samples and water safety monitoring by LC-MS

Monitoring water quality is essential for protecting public health and the environment, yet many harmful pollutants remain difficult and expensive to detect. Among them, phenolic compounds commonly released from industrial activities are persistent, toxic, and often found in Canadian water systems at levels that require advanced laboratory testing. Unfortunately, current sample-preparation methods used to extract […]

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L2M – AI-powered Vision-based Robotic System for Autonomous Waste Sorting and Recycling

Waste sorting today is inefficient and relatively expensive since current systems can’t achieve full autonomy. Our project introduces a practical solution that combines AI-powered vision-based object detection with low-cost robotic manipulators to automatically detect and sort waste streams in real time. This innovation reduces hardware and maintenance costs, minimizes the labor reliance, and greatly enhances […]

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Atomistic Modelling of Material and Planetary Surface Processes

This project will study how space weathering, such as solar wind radiation and micrometeoroid impacts, affects planetary surfaces, materials, and biomolecules that are important for future space exploration. Using advanced computer simulations and machine learning, we will model these processes at the atomic level to understand how they alter the chemistry of planetary and material […]

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Intelligent OCR Routing System for Cheque Processing

(1) Partner Activities: Nasdaq Verafin is an industry leader in developing advanced anti-financial crime solutions, helping financial institutions worldwide detect and prevent fraud and money laundering through its sophisticated data analysis platform. (2) Challenges: The primary challenges this project addresses are the significant operational cost associated with processing millions of cheque images for fraud analysis. […]

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Check Fraud Network Detection Using Graph Neural Networks (GNNs)

(1) Partner Activities: Nasdaq Verafin is a global leader in financial crime management, providing advanced fraud detection and anti-money laundering solutions to financial institutions. The company processes millions of transactions daily, including check-based payments, to identify suspicious patterns and prevent financial crimes. (2) Challenges: A critical challenge in check fraud detection is identifying sophisticated fraud […]

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Directional Sensitivity of the Proprioceptive Sense of Force

Normal movements are generated via controlled activation of motor units (MUs), which consist of motoneurons and their innervated muscle fibers. To support the wide range of movements humans perform daily, it’s been suggested that MUs are recruited and fire depending on the direction of applied force. The proprioceptive sense of force, which is the ability […]

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ERP System Rollout and Optimization at Mekapisk Enviroblu

This project will support the final implementation phase of an ERP (Enterprise Resource Planning) system at Mekapisk EnviroBlu Inc, a growing Indigenous-owned company based in Newfoundland and Labrador. Building on earlier research and development efforts, this phase will focus on optimizing system workflows and enabling future integrations such as EDI (Electronic Data Interchange), which will […]

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