Resource extraction, including mineral exploration and mining, is an important part of Canada’s economy. There is currently a great interest in finding the minerals that are needed for batteries; arguably the lack of minerals is the biggest impediment to cutting the price of electric vehicles and weaning society off fossil fuels. Artificial intelligence has great […]

In the intestines of people living with inflammatory bowel diseases (IBDs), the balance of beneficial bacteria is shifted. Instead, the intestine is overloaded with potentially harmful bacteria – a phenomenon known as dysbiosis. This shift in bacterial populations is believed to be among the key contributors to the onset of inflammation observed in IBD patients. […]

The Agriculture and Agri-Food System of Canada (AAFS) is an important component of the Canadian economy. Outdoor agricultural shows have moved from their simple marketplace roots to places that facilitate increased productivity, accelerated innovation and business formation. Central to these functions is the geographic concentration of stakeholders. With the growth in show size, supporting effective […]

Dispersion of various solutes in porous media has been investigated experimentally and theoretically for different scientific purposes. The study of this phenomenon can provide fundamental knowledge of solvent (or gas) flooding in enhanced oil recovery, groundwater contamination, and catalyst-based chemical processes.

Genetic engineering has proven to be a useful approach for gene therapy and transformation of value-added agricultural plants. However, the current available technologies suffer from several limitations. These include relative low delivery efficiency with difficult-to-deliver cells or complex constructs and limit freedom-to-operate. Considering advances have been made in the applications of nanotechnology to life science […]

Municipal governments and urban centres across Canada are being inundated with data—data that have potential to improve public service. Despite this, local governments do not have enough data expertise to extract insight from these overwhelming datasets. Simultaneously, high-quality personnel (HQP) in the domains of data science and urban analytics lack opportunities to work closely with […]

The Agriculture and Agri-Food System of Canada (AAFS) is an important component of the Canadian economy. Outdoor agricultural shows have moved from their simple marketplace roots to places that facilitate increased productivity, accelerated innovation and business formation. Central to these functions is the geographic concentration of stakeholders. With the growth in show size, supporting effective […]

This project uses the purchase history data from loyalty member cards at the basket level (i.e., all items bought by a customer during a particular trip) for customers under the loyalty program of a chain drug store to develop a model that can generate a realistic future “customer shopping list” (i.e., customer baskets) using the […]

Heart disease is the main reason of death worldwide. One way to understand better and detect heart diseases without need for biopsy via surgery is by using medical imaging such as magnetic resonance imaging (MRI). Cardiac magnetic resonance is a specific kind of MRI which allows great visualization of inner parts of the heart and […]

The objective of the project is to investigate how machine learning techniques can be used to detect anomalies in volumes of transactions. This requires the student to conduct a literature review about the topic as well as experimenting with a subset of selected machine learning techniques. The results from the research could help the partner […]

Few things in space flight are routine. Before each time MDA operates the International Space Station’s famous Canadarm2, thousands of simulations must be performed to ensure the success and safety of the operation. This research intends to streamline the process of operations planning for Canadarm2 by using machine learning to predict key outputs from these […]

The objective of the project is to design a model determining capital requirements associated with property and casualty insurance business lines for an insurer that is compliant with the new IFRS 17 framework (international accounting framework). Several subcomponents of the model will be developed such as a dynamic model embedding dependence for the evolution of […]