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 […]

At McCol Metals, we have developed an innovative process to recover metal elements and then sell them to the international market. Our innovative recovery process has created a circular economy for Mixed Metal Oxide anodes and provides sustainability to the global Platinum Group Metal markets. We have currently commercialized and secured a 5-year contract locally […]

Marine icing problems pose significant risk to both marine vessel stability and human safety during harsh weather operations. The project will address a need for better physical understanding of marine icing phenomena and the development of appropriate sensors for detecting marine icing conditions. Current technologies have proven inadequate for marine conditions due to the complex […]

This project is focused on understanding the relationships between copper, gold, and other critical metals in central Newfoundland and their relationships of ore forming fluids to magmatism, faulting and ancient volcanic activity. The work will involve three MSc-level interns that will undertake fieldwork, laboratory work and computer modeling (i.e., machine learning) while being embedded with […]

Low lying coral reef islands are considered among the most vulnerable landforms to the impacts of climate change. Currently, an incomplete understanding of reef island evolution and morphology (island evolution is typically analysed in 2-dimensions), and lack of data for reef islands in the Caribbean is limiting predictions regarding how these landforms will respond to […]