Yeast is a single celled micro-organism that converts carbohydrates to carbon dioxide and alcohols through the process of fermentation. Yeast is very useful in many industries and there are no local producers of yeast in Canada. This research will focus on optimizing the growth of selected marine yeast strain isolated from the marine environment for […]

High-frequency surface wave radar (HFSWR) is recognized as one of the essential tools for remote sensing of the ocean surface. HFSWR received data contains valuable information that can be used for ocean wave forecasting, and since it provides real-time data, it can be applied for search and rescue operations, oil and pollution spills, and tsunami […]

Route planning plays an integral part of each voyage in maritime operations. The selected route must be optimized in terms of economic factors and safety concerns. It also has to adhere to national and international regulations. Recently, the International Maritime Organization introduced a new regulatory instrument to promote the decarbonization of the shipping industry. The […]

High-frequency surface wave radar (HFSWR) is recognized as one of the essential tools for remote sensing of the ocean surface because it provides wide-area, all-weather, and near-real-time surveillance. It operates between 3 to 30 MHz and can detect a large area of thousands of square kilometers. Wind speed, wind direction, surface current, and significant wave […]

This project will focus on developing a system to find the precise location of a landing pad as seen from a drone / helicopter. The proposed system uses radio frequency ranging between the devices onboard and devices deployed at the landing pad. Together with accelerometer and compass data, the system can figure out the position […]

The most common sea cucumber (SC) found in the North Atlantic Ocean is orange footed Cucumaria frondosa. SC is packed with numerous high-value nutraceutical and pharmaceutical components. During SC processing, flowers are separated as by-products representing around 8-10% of the live weight and sold at a very low price. These by-products are rich sources of […]

The goals of this partnership are to study the barriers and challenges faced by underrepresented groups (such as recent immigrants, women, people with disability and francophones) establishing their businesses in Newfoundland and Labrador. This study will provide an informative framework that several groups can benefit from. From that goal, many other beneficial actions can occur […]

Aquafeed is supplemented with essential fatty acids derived from fish products (fishmeal and fish oil). However, fish oil production is dropping due to rapidly depleting wild resources. Therefore, the aquafeed industry must move to other sources of essential fatty acids, such as oils from terrestrial origins [3]. When more than 80% of fish oil in […]

The Spill Management and Response Toolbox (SMART) can provide decision-makers and stakeholders with effective contingency planning by combining their expertise from multiple concerns such as response time, operational cost, or environmental impacts. The SMART system is designed to expedite the preparation phase, initiate response operations as soon as possible, reduce the workload and stress for […]

Arsenic (As) levels exceeding the acceptable level (10 ?g/L) in drinking water are detected in private, public, and school wells in many of Newfoundland’s small and remote communities. These wells are the main or sole sources of drinking water. This project aims to develop a sustainable solution to remove As from drinking water by diverting […]

For marine autonomous surface ships (MASS), a more acceptable operation is ‘constrained autonomous operation’ where the ship operates fully autonomously. Most of the existing systems have strictly defined operational constraints or limited available decision spaces; therefore, autonomous decisions are only allowed for some predefined scenarios. However, marine environment is dynamic; the environmental disturbances (wind, wave, […]

The purpose of this project is to take existing state-of-art machine learning techniques and implement them for ice classification in polar seas. Ice classification plays a critical role in any icebreaker voyage. An ice specialist onboard the icebreaker is required to classify all ice environments encountered. This process is tedious and time consuming. This project […]