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 […]

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 […]

UNESCO Global Geoparks are a comparatively new designation with the focus being clearly on protection of Geoheritage, but also its promotion in the form of Geotourism Geoeducation and sustainable development. Since 2015 some 213 geoparks have been designated including one in Newfoundland Discovery UNESCO Global Geopark, which is based around the fact that it is […]

This project proposal aims to tackle a significant challenge in fintech: extracting human-readable descriptions from tabular financial data. Interpreting vast amounts of structured data in the dynamic financial technology landscape is crucial for informed decision-making and compliance reporting. The project seeks to develop a robust system by leveraging open-source Large Language Models (LLMs) tailored to […]

Check fraud continues to be a substantial challenge in the financial sector, involving the unauthorized use of checks for illegal fund acquisition. To address the issue of fraud detection, specific Artificial Intelligence models, particularly Convolutional Neural Networks (CNNs), have been increasingly applied to classify checks as fraudulent or legitimate. However, there is a crucial aspect […]

This project aims to enhance subsea video quality for improved underwater visual inspection and analysis, crucial for industries like offshore oil and gas, marine research, underwater construction, and maritime security. Leveraging advanced AI and machine learning techniques, we will address challenges like water turbidity, light attenuation, and visual distortions in underwater images. Through the Lab2Market […]

The “Drone-Based Search and Rescue (SAR) System in Dense Forests” project aims to transform SAR operations using a coordinated swarm of drones equipped with advanced computer vision and machine learning algorithms. These drones, launched from DJI dock stations and connected via Starlink satellite technology, will efficiently locate missing persons in densely forested areas. By processing […]

Automating the extraction of handwritten text from checks is crucial for fraud detection and efficient check processing. Although Optical Character Recognition (OCR) tools like Tesseract excel with typed text, they often falter with handwritten content, causing computational inefficiencies. This project’s focus is on developing a rapid and cost-effective OCR solution tailored for handwritten text on […]