Dual Axis Solar Tracking System for Marine Environments is a project that aims to integrate a solar tracking technology onboard a marine vessel. By integrating 2 different tracking methods in one system for improving the efficiency of tracking, further leading to improvement in energy production, this project aims to make this technology economically and technically […]

Our project integrates AI-driven Simultaneous Localization and Mapping (SLAM) with cutting-edge 3D reconstruction techniques to provide precise localization and high-fidelity 3D visualizations of underwater features. This fusion enables accurate measurement of size, depth, and spatial orientation of anomalies, enhancing inspection precision. By adopting this technology, industries can improve inspection accuracy, streamline maintenance, and reduce operational […]

This project aims to develop an AI-enhanced autonomous underwater vehicle (AUV) system designed to track Steel Catenary Risers (SCRs) in real time. Accurate tracking of SCRs is critical for maintaining the integrity of subsea infrastructure in the offshore oil and gas industry. The AUV will leverage advanced computer vision and machine learning techniques to continuously […]

Our project addresses a critical gap in maritime training, specifically the challenge of developing effective ice management skills in extreme environments. Traditional training methods rely heavily on human instructors, whose expertise is both scarce and costly, limiting the scalability and consistency of training programs. This issue is especially significant in industries like oil and gas, […]

AquaFishSense addresses the pressing issue of outdated and insufficient information available to fisheries, which impedes their ability to operate sustainably and efficiently. Fisheries face significant challenges due to the lack of real-time data on fish populations and aquatic habitats. This gap in information leads to overexploitation of marine resources, with approximately 34% of global fish […]

Kelp forests in the oceans provide considerable ecological benefits but are threatened by global warming, pollution, and human activities. This project aims to monitor kelp forests based on satellite data and artificial intelligence methods, beneficial for marine environmental conservation and climate change mitigation.

My research project will be investigating the effects of climate change, through ocean acidification and warming, on the growth rate of a coralline algae species that is prevalent in arctic and subarctic oceans. Coralline algae take in calcium carbonate from seawater and form hard skeletons, similar to a coral reef. In doing so, they create […]

The proposed project focuses on developing advanced AI technologies to enhance the partner organization’s platform. The intern will work on integrating and optimizing AI-driven solutions, such as personalized nutrition analysis and professional-client data sharing, using tools like OpenAI’s models and Retrieval Augmented Generation (RAG). By strengthening the AI workflows, including speech recognition and data processing, […]

This project aims to help Mekapisk EnviroBlu improve its business operations by streamlining internal processes, optimizing inventory management, and upgrading its financial and IT systems. The company will increase efficiency, reduce errors, and strengthen communication by addressing these challenges. The improvements will enable EnviroBlu to grow its market reach, support Indigenous participation, and continue its […]

We will investigate the impacts of wildfires on natural nanoparticles (NPs) in soil and water in two different regions: central Newfoundland, Canada, and the Landes de Gascogne forest, France. The Landes de Gascogne forest experienced significant wildfires in 2022, particularly impacting two major sites: “La Teste de Buch” and “Landiras.” The Landes region is characterized […]

The proposed project is related to analysis and optimization of a system of potential interest to oil and gas industry in terms of oil-spill remediation. A fixed wing aircraft can be retrofitted with an oil dispersant system suitable for fast response in case of large oil-spills. This oil dispersant system is to satisfy certain requirements […]

C-CORE and Memorial University have teamed to supervised the development of a 3U CubeSat called MUNStar-1. The CubeSat is an earth observation satellite containing a scientific payload for the measurement of Global Navigation Satellite System (GNSS) Reflectometry (GNSS-R) signals. The satellite will measure a number of ocean parameters to help understand climate change impacts, particularly […]