When storing and retrieving large quantities of aerial surveillance video to be used as evidence, it must be possible to validate video as authentic without relying on secret knowledge. Part of the solution to this problem involves a novel combination of cryptography techniques used in blockchains and elsewhere together with computer filesystems, allowing data to […]

“Business Studs” is a web based business development, platform providing cheaper and effective physical presence in existing and emerging markets, helping businesses grow in existing and new markets through independently working sales professionals in different industries. This research project aims to undertake a study to determine gaps in skills training from graduating students to employers.

Porcupine Crab (Neolithodes grimaldii) is harvested off the coast of Newfoundland and Labrador and in the eastern Arctic as a by-catch in deep water during the turbot fishery. Its dark red color and long sharp spines make handling and processing very difficult. Preliminary experiments have shown that quality crab meat products can be produced from […]

Cosmetics are products composed to cleanse, protect and change the appearance of external parts of our bodies. While, the key ingredients present in most cosmetics include water, emulsifiers, preservatives, thickeners, moisturizers, colors, and fragrances, some other ingredients as a secret ingredient can be added to the products. Generally speaking, ingredients can be naturally occurring or […]

The project is dedicated to developing new models and understanding for predicting marine ice accretion levels on small and medium sized sea vessels. These models are developed using engineering principles and will be used to predict ice loads, loss of vessel stability, and to assist in sizing heat tracing for critical vessel infrastructure. Additionally, we […]

The research activity is to collect, compile, and analyze relevant information from external open sources about specific topics impacting the aerospace market. Additionally, research into management and marketing theory related to processes, frameworks, and best practices for market analysis and investment decision-making will also be part of the project. Findings from the initial market research […]

This project addresses a major challenge in ensuring the sustainability of the salmon aquaculture industry: how to reliably monitor the effects of organic waste (excess feed and feces) on the surrounding marine environment, in an environmentally-friendly way.

As the Innu Nation in Labrador move towards finalization of their land claim, there exists a need to gather information about fisheries management and valuation within their traditional territory in order to inform the development of a future management strategy. This research will involve four phases to development a comprehensive review of existing literature and […]

The Atlantic salmon aquaculture industry is becoming a strategic economic sector for Canada. Aquaculture in Canada employs approximately 25,000 people with a total economic impact of over $5B. While farmed salmon is already Canada’s top aquaculture export, salmon aquaculture has significant capacity for growth in this country. Atlantic salmon farmed in sea cages on the […]

Mine closure is the final stage of a mine’s lifecycle and can have complex social, economic, and cultural impacts on nearby communities. These impacts include population decline, reduced services, household stress, ecological change, and reduced access to land-based activities. These impacts become more likely when communities are not engaged with during the closure planning process. […]

Detection of financial fraud is a priority for financial institutions. There are a variety of techniques and models that can be used to address the problem of financial fraud. However, as fraudsters are becoming more inventive and adaptive, they have been able to penetrate the conventional protective methods. This is one of the main reasons […]

Financial fraud is a serious issue that is taking place globally and causing considerable damage at great expense. Statistical analysis and machine learning tools can help financial institutions detect different types of fraud. In some cases however, mislabeling and the cost of classification may actually increase the volume of ‘false positives’ for supervised methods. As […]