Modern molecularly targeted therapies have shown promise in treating some blood cancers, but a cure remains elusive for most acute blood cancer patients. This is largely due to the survival of some blood cancer cells that possess unique properties and can cause treatment failure or relapse, highlighting the need for new therapies. In collaboration with […]

Sustainable investment is an expending sector of the mainstream financial market, yet there are few studies evaluating the trends, opportunities, impacts and knowledge gaps as they relate to Canadian investors. Understanding the environmental, social, and governance (ESG) issues related to business operations and investment are critical to understanding trends that are driving this shift towards […]

In order to meet global climate change goals, it is necessary for consumers to shift their preferences for products towards more sustainable and eco-friendly options. Two common barriers that consumers experience when purchasing green products are: 1) perceived difficulty of buying green, and 2) skepticism about the quality of green brands. Avocado Co-op is attempting […]

The goal of this project is to explore the use of log analytics and machine/deep learning techniques to improve Ubisoft operational intelligence. Logs contain a wealth of information, but often hindered by the lack of best practices, tools, and processes. Despite the importance of logging, the area has not evolved much over the years. At […]

We seek to test the behaviour of candidate detectors for the proposed CASTOR space telescope. We are focused on the response to dim images, the behaviour when resetting portions of an image during exposure, and the behaviour when using multiple reads throughout an exposure to reduce the effect of random noise generated when reading the […]

Risk aggregation is omnipresent in insurance applications. A recent example, borrowed from the modern regulatory accords, is the determination of the aggregate economic capital and its consequent allocation to risk drivers. A more traditional illustration of the importance of risk aggregation in insurance is the celebrated collective risk theory that dates back to the early […]

Heavy pesticide and antibiotic use are prevalent in modern agriculture and is an essential requirement to feed the ever-increasing human population. Their increased use, however, has also resulted in a loss of ecological biodiversity, environmental contamination, emerging pesticide/antibiotic resistance and is an economic burden to farmers, especially in low income nations. The research proposed aims […]

Chronic Obstructive Pulmonary Disease (COPD) is the fourth leading cause of death in Canada and may affect up to as many as 3 million Canadians. However, due to inadequate diagnostic tools, 50% remain undiagnosed. Furthermore, COPD patients also suffer attacks, or exacerbations, which can hospitalise the patient, worsen their condition and take weeks to recover […]

Pattern analysis is the study of patterns in observed data. One important question in pattern analysis is to find and group similar objects together, e.g., those people with cardiovascular diseases among a set of volunteers willing to donate an organ. This frequently-encountered problem in the domain of data analysis is referred to as classification and […]

À l’ère de ‘l’industrie 4.0’ qui prône le numérique et la connectivité, la gestion et l’exploitation des connaissances fournissent un avantage significatif dans un contexte manufacturier toujours plus concurrentiel. Cela permet le transfert de connaissances, la formation, la résolution de problèmes complexes ainsi que la prédiction de phénomènes. Les données de production peuvent provenir de […]

“Stories Without Borders” is a collaborative educational project between a Canadian and a Mexican research team, with the support of the Canadian NGO Education without Borders (EwB). The research problem addressed is: How can children’s stories written in English and other Indigenous languages for Indigenous children in Canada best be translated into Indigenous Mexican languages […]

This project’s objective is to develop a capability to detect and describe anomalous situations in ground vehicle traffic. Anomalous situations are described as substantial/important changes from the traffic frequently observed for a particular route and/or time. In this sense, anomaly can be quantitatively measured by the degree of predictability of current traffic given historical observations. […]