A Framework for Assessing Regulations and Initiatives with Goals and Watson Analytics

Regulations are introduced to ensure the well-being, safety, and other societal needs of citizens and organizations. Yet, regulators often have difficulties assessing the performance of their regulations, and whether regulatory initiatives actually improve compliance. This project’s main objective is to investigate the suitability of a framework combining a standardized goal modeling notation with an existing […]

Read More
A digital technology platform for supply chain: Development of scenario planning and forecasting models and tool for the engine build program to assess the impact of variations in sales forecast on inventory planning

Industry 4.0 is the digitization of a company’s physical assets and the company’s integration into digital ecosystems with its value chain partners, from suppliers to customers. It uses smart technology and the use of real-time data to increase flexibility, customization, efficiency and productivity, and to reduce time, costs and innovation cycles. This project will focus […]

Read More
Context-Aware Advertising Language Modeling with Deep Learning for Internet Ads

Digital advertising is a rapidly growing industry, commonly seen on Facebook and Google. However, most people who start promoting their business with Internet Ads are not professional and experienced marketers. They need help to design and launch ads campaign, especially on writing ads copies. Meanwhile, people have started to embrace AI technologies in the industry […]

Read More
Antigen tracking of the DepoVaxTM-R9F cancer vaccine using MRI

Immunovaccine Inc. is developing cancer vaccines using the company’s DepoVaxTM vaccine technology. DepoVax is a patented formulation that displays excellent tumor control and provides a long lasting and specific effect. The way by which this vaccine exerts its effect is unclear but the translational team at Immunovaccine is determined to discover its mechanism of action […]

Read More
Stability of Geobag Elements for Riverbank Protection

Riverbank erosion is a major threat to millions of Bangladeshi citizens who live in the vicinity of the country’s rivers, causing loss of life, land and livelihood. Sand-filled geotextile bags (geobags) are a solution to this problem and are widely used across Bangladesh to guide river flow and redirect channels in the wide braided rivers, […]

Read More
Research for Innovative Mining Methods

Narrow-vein steeply dipping deposits are challenging to mine economically because they are poorly oriented for surface mining, and underground mining normally requires development of extensive underground infrastructure before mining the vein. Memorial University is currently collaborating with Anaconda Mining for the development of innovative narrow-vein mining (NVM) technology to mine several of these deposits currently […]

Read More
Mapping associations between drought and simultaneous fires across space and time within the Southern Canadian Cordillera

The sequence of costly wildfires that burned at multiple locations in British Columbia and Alberta during fire seasons in 2003, 2015, 2016 and 2017 remind people that fires play an important part in forests of southwestern Canada. However, people are also increasingly recognizing the role of fire in providing ecological renewal and diversification. As a […]

Read More
Anomaly Detection in Financial Data

In this joint collaboration with Scotiabank we hope to solve a commonly faced problem by large financial institutions. It is to detect errors in financial datasets. This could be due to typing errors made by a human or a computer glitch that causes an incorrect value to be stored. To identify these errors, we plan […]

Read More
Development and optimization of a new roll-to-roll atmospheric pressure plasma reactor: deposition of functional nanocomposite coatings on polymer and paper rolls

Wood and wood-related substances have been among the most important materials in human history. Today, various forms of wood are being used in numerous industries, and therefore a significant market exists for improved and functionalized wood-based products. In this context, we’re proposing an atmospheric-pressure plasma-based approach to treatment of wood-based surfaces using a roll-to-roll cold […]

Read More
Assessing the role of small-scale structures in controlling auriferous fluid flow: Nadaleen trend, Yukon.

Carlin-type gold deposits (CTGDs) are large, high-grade gold deposits named after the world renowned occurrences in Nevada. Despite their economic importance, agreement on how they formed is still lacking. We are undertaking an integrated geological and geochemical study of CTGDs in the Nadaleen trend, Yukon, to better define the hydrological regime that controlled their formation. […]

Read More
Interfaces and algorithms to interactively improve medical datasets for machine learning

Galmed is creating leading edge medical image processing technology that exploits machine learning to empower physicians and improve patient care. The success of our algorithms depends on the availability of high-quality data, which in our current study means working with chest x-ray images (CXRs) that are accurately labeled with the findings that a radiologist would […]

Read More