Credit card payments are one of the most common transaction methods in our daily life, such as online shopping, e-commerce, and mobile payment. However, with the extensive usage of credit cards, numerous credit card fraud transactions occur every year and cause a huge economic loss. In order to improve the detection performance, this project proposes […]

The proposal of the project Structure of Zero GHG Footprint Sustainable Community will benefit the community. The creation of the module design system using aquaponics methods, exploring the design of cooling system and thermal system will integrate the full process of producing sustainable food with zero pollution to the environment. As a researcher in this […]

The popularity of cryptocurrency has continued to increase over the past years and has raised serious policy concerns among Central Banks. Given the Bank of Canada’s role in maintaining financial stability, its 2019 Financial System Review identified the evolution of the cryptoasset market as one of six financial vulnerabilities that need to be monitored closely. […]

In the last few years, a high increase in the interest of traders and investors towards financial instruments directly led to an important augmentation of the information received daily by exchanges. Exchange regulators, who constantly monitor markets to unveil potential infractions, traditionally perform their investigation manually and the notable growth in market activity represents an […]

This project aims to use and experiment deep learning technique on modern recommender systems such as Graph Convolutional Network. The purpose of this implementation will be to drastically improve recommendation structure’s benchmark. This will allow extract user’s embedding by mapping from pre-existing features that describe the user such as ID and relevant attributes. In this […]

The field of responsible investing is rapidly expanding, with even greater attention on the importance of responsible investment with each passing year, as seen most recently in the aftermath of the impactful 2021 COP26 summit, where responsible investment was key focal point. Directing our financial resources in a sustainable direction has the potential to have […]

The Fundamental Review of the Trading Book is a set of regulations set by the Basel committee, which is expected to be implemented by banks in Canada by late 2023. According to these regulations, in order to maintain stability in the banking system, banks need to post extra capital against the so-called non-modellable risk factors. […]

University of Ottawa students have partnered with the Brookstreet Hotel and Marshes Golf Club to explore the business challenge of improving the golfer experience through the autonomous delivery of food and beverages via drone anywhere on the Marshes Golf Course property. We hope to provide innovation to the industry and enhance the golfer experience through […]

En assurance commerciale, il est important de pouvoir comprendre l’industrie dans laquelle opère une entreprise afin de bien identifier les risques auxquels l’entreprise est exposée. À cette fin, l’approche traditionnelle consiste à assigner à chaque entreprise un code d’industrie. Cependant, cette assignation est problématique car la plupart des classifications d’industrie comptent des centaines et souvent […]

La science des données est une discipline clé pour la Banque National. Au cœur de sa pratique se trouve la gestion des données. La banque souhaite toujours créer plus de valeur pour ses clients grâce aux données, mais elle souhaite éga-lement protéger leurs données et empêcher tout mauvais usage qui amènerait un bris de confiance. […]

Fire-related events can result in substantial losses represented by injuries, fatalities, and structural damages. To protect Canadians, there is a real need to identify key risk factors that contribute to the frequency and severity of such events, and subsequently, devise mitigation strategies that prevent structural fire risks. The powerful combination of incident data sources and […]

Utilizing advanced tools for optimal planning of Microgrids with high renewable energy penetration. Our models would be robust to handle uncertainty in supply, demand and technological changes. The inputs to our model would be demand, supply data (meteorological data) and technological costs for the specified location for the past. Statistical analysis of the data would […]