Evaluating Arts’ Impact in Climate Inquiry

The goal of this research is to shift climate engagement by improving climate-arts practices through better alignment of underlying research processes and evaluation frameworks. Currently, climate engagement is dominated by the information deficit model, a theory of change widely understood to be more effective in raising awareness of climate challenges than supporting pro-climate behavioural change. […]

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Marketing for Roots and Wings Fish Co.: Storytelling for Small-scale Fisheries as a form of Social Justice

Roots and Wings Fish Co., a Newfoundland-based social enterprise, supports small-scale fisheries through sustainable, ethical practices. With a mission rooted in social justice, the company partners with independent fishers to improve market access, secure fair wages, and preserve Newfoundland’s cultural heritage. Committed to sustainability, healthy nutrition, and social equity, Roots and Wings advocates for fisher […]

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Technical Analyst

Technical Analyst to enhance service delivery processes and ensure digitization of key data.

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Online Application to Support Training for Heart and Lung Sounds Assessment by Nursing Students and Health Care Professionals

This research project deals with the question of using multimedia computer applications for training Nursing students or professionals to identify heart and lung sounds as part of an overall health assessment session. The new design for this Nursing training application will support a wide array of mobile devices, by using novel technologies such as HTML5, […]

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The effect of using roller massager on cortical and spinal excitability

Myofascial pain syndrome can lead to chronic pain. With fatigue or trauma, muscle spindle reflexes activate spinal motoneurones causing them to fire constantly leading to spasm. These reflex signals can also be transmitted to the brain as well. It could be hypothesized that if massage therapy (roller massager included) could regulate cortical and spinal motoneurone […]

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L2M – Optimizing Energy Efficiency in Sea Transportation Using Machine Learning

Our project tackles the critical challenge of optimizing energy efficiency in electric boats, a vital issue in the growing market of sustainable marine transportation. The primary problem lies in the inefficient energy consumption of electric motors used in electric boats when navigating varying wave conditions, leading to reduced range and increased operational costs. This research […]

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L2M – Deep Learning-Based Detection and Classification of Biofouling on Marine Surfaces

The maritime industry faces significant challenges from biofouling—the buildup of marine organisms on vessel hulls—which leads to higher fuel costs, increased carbon emissions, and frequent maintenance. Traditionally, biofouling inspections are manual, costly, and time-consuming, offering limited real-time insights. Our project seeks to address these inefficiencies by developing an AI-powered model to automate the detection and […]

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L2M – Chainfare

The seafaring industry, responsible for transporting over 90% of the world’s goods, faces critical issues with organized money laundering and human trafficking. The International Labor Organization estimates that 24.9 million people are victims of human trafficking, many of whom are trafficked via maritime routes. Additionally, the UN Office on Drugs and Crime (UNODC) reports that […]

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L2M – Advanced Power Electronics Converters for Maximizing Wave Energy Harvesting in Ocean Systems

With its vast untapped potential, wave energy could become the leading source of renewable energy from our oceans. These systems do not produce greenhouse gases, thereby contributing to a reduction in the carbon footprint of electricity generation. With a higher energy density compared to wind, wave energy has significant potential for power generation. However, commercial […]

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L2M – AI-Powered Real-Time Detection: Revolutionizing Harmful Algae Bloom (HAB) Monitoring

The proposal introduces a cutting-edge, real-time solution for detecting and mitigating harmful algal blooms (HABs) using advanced computer vision and AI models integrated with autonomous systems. By leveraging state-of-the-art AI-powered imaging technology, this solution delivers precise species identification and real-time monitoring capabilities that drastically improve response times. Unlike traditional manual sampling methods, this system utilizes […]

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L2M – Using Wave Energy to Charge Electric Boats Without a Traditional Charger.

Recently, there has been a massive transition from internal combustion engine-based boats to electric boats that do not depend on fossil fuels. However, there are some factors hindering the fast pace of this transition. These factors include the bulky charging system, the unavailability of reliable power sources, and the increased operational cost of electric boats. […]

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