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 […]

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 […]

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 […]

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 […]

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 […]

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. […]

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 […]