The government of Canada has been developing the Clean Electricity Regulations, which aims to reduce CO2 emissions to 45 percent below 2005 levels by 2030 and net-zero emissions by 2050. One main sustainability goal in the global power sector is to generate clean electricity using renewable energy sources. Hydro, Newfoundland and Labrador’s primary electricity generation […]

This project focuses on developing an advanced DC power converter to improve the efficiency and operational time of underwater drones, which are essential tools for monitoring and managing marine environments. By addressing the limitations of conventional converters—such as energy losses, component stress, and bulkiness—this project aims to enhance battery performance and support longer missions in […]

The Cell-fish Meats (cell-based Atlantic salmon, Atlantic cod, Atlantic wolfish, Sablefish, and Halibut burgers) project is aimed at starting a pilot project of lab-grown meat production from fish cells for human consumption. The targeted fish species are either expensive or difficult to access to the general public although they are some of the most popular […]

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, […]

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 […]