Children and youth with intellectual and developmental disabilities (IDD) are more likely to experience diminished wellness across multiple aspects of their lives and decreased quality of health compared to their peers without disabilities. Yet, little is known about how wellness is promoted or addressed for this group. Most research to date has focused exclusively on […]

• Investigating geographical footprints of income shifting by multinational enterprises. PwC owns a large data set across all industries in Canada from its tax consulting engagements and annual standard tax filings from clients. This growing data source is an opportunity for accurate tax benchmarking, trend analysis and gaining deeper insights by transforming them into market […]

The objective of this research is twofold: to improve existing risk management framework to assess interest rate shocks, and to develop a new risk factor model to create an equity risk score system to help guide investment decisions. The first part of this research project involves the development of an equity risk score system to […]

Emissions control is an important part of any environmental policy. However, in dense urban environments and other locations, it is important to deal with sound as well. To ensure effective pollutant mitigation while also ensuring minimal acoustic disturbance, it is necessary to look at computer models that look at these factors simultaneously. This work will […]

We are in the process of creating and growing a team of researchers expert in the field of machine learning and data-mining. Ultimately, our aim is to create solutions to eliminate the need to manually define personalization strategies. We are in the process of signing partnership agreements with retailers capable of collecting large-scale datasets of […]

The current survival times for breast cancer patients with brain metastasis range from 2 to 16 months suggesting a strong need for improvements in their therapeutic care. Although radiation therapy is the standard of care for these patients, combination with chemotherapy has demonstrated promising therapeutic benefits. The hypothesis of this research program is based on […]

Helicopter training simulators are an important part of improving the safety of both civil and military helicopter operations. The most important part of helicopter training simulators is the model of the helicopter dynamics since it drives all the other simulator subsystems. This project aims to provide CAE with a more automated and accurate method for […]

Geomechanica Inc. develops simulation software (Irazu) for rock engineering applications. This numerical software has been used in several peer-reviewed research publications in the rock mechanics field. A key challenge in the numerical modelling of rock masses is the selection of appropriate input parameters. The objective of this work is to develop a solution to streamline […]

Modelling the movement of water through a hydropower station is an important tool for understanding this very complex behaviour, where water is pushed and pulled through long tunnels and spinning turbines, resulting in a vast range of pressures and speeds. There are generally two types of models: 1-dimensional (1D) models, which are simple and cost-effective, […]

The objective of the research project is to validate a new advance scheduling algorithm for MRI & CT bookings at a partner hospital and to design a scalable approach for future validation and implementation at other sites. The MDP model that books multi-priority patients with varying resource requirements to a single resource will incorporate the […]

The NSERC Strategic Network for Smart Applications on Virtual Infrastructures is a five-year partnership between Canadian industry, universities, researchers, research and education (R&E) networks, and high performance computing centres to investigate the design of future application platforms that will deliver software applications of greater capability and intelligence. These application platforms will be supported by an […]

High dimensional signals may arise in many fields of science. For example, biomedical signals such as EEG and EMG can be modeled by few latent processes measured by a large set of noisy sensors. In such applications the goal is to identify the latent intrinsic variables, which describe the true, intrinsic state of the system, […]