The nature of Statistics Canada's National Population Health Survey (NPHS) allows the use of event history analysis techniques to study relationships among events. The output from a series of health related questions to explore an association between pregnancy and smoking cessation was of especial interest. A methodology was proposed based on the notions of time […]

The internship will concern studying the role and impact of specific proteins (in particular tubulin) in cancer, and the identification of prognostic markers of cancer progression and predictors of cancer response to existing and new compounds (mainly based on microarray data analysis and protein structure prediction). This project will involve working on preparation of relevant […]

Employee timetabling problems form a large class of widely-encountered issues in service organizations. Often, the issue lies in the design of work shifts, which often have to satisfy many complex regulatory constraints coming from legislation and contractual agreements. The client, Omega Optimisation, was looking for a unified and flexible solution for these shift scheduling problems […]

In many customer surveys and database marketing applications such as segmentation, profiling and predicting consumers’ choices, the joint distributions of covariates of interests are required. However, for variety of reasons, such as protection of clients’ confidentiality, the data are often available only in marginal frequency distribution format. This makes it difficult to use the covariates […]

Like many companies in the energy business, Encana Power Corp. is interested in pricing options and future contracts related to the price of power and gas. The heat rate plays a role in related decisions and it is of importance to determine better estimates of swing and related options. The internship research will develop and […]

For the past 10 years, the credit derivative markets have experienced unprecedented growth. Combined with this expansion, credit risk modelling has become quite a challenging task for many financial institutions. The Royal Bank of Canada has substantial trading exposure in credit derivatives and is looking to further its modelling research and management process.

The intern will collect data on tree mortality in the company's woodlands and develop equations to predict mortality rates from tree growth or forest age and composition. Mortality rates for white spruce have been particularly difficult to obtain due to overall low levels and sporadic occurrence of tree death. This project provides an interesting alternative […]

This project is about content-based networks. In content-based networks, the decisions regarding the forwarding of data are done by inspecting the actual information contents. The forwarding process is guided by properties of the payload data. This is in contrast with traditional networks where forwarding is guided only by the destination addresses contained in packets. Content-based […]

Distributed Denial of Service (DDoS) attacks are widely regarded as a major threat to the Internet because of their ability to make a service unavailable and create a huge volume of unwanted traffic. Unwanted traffic control is one of the most important challenges of Bell Canada. Current countermeasures cannot assure higher quality of service under […]

The propagation of sound underwater is influenced by variations of the environment in range, depth and azimuth. Many sound propagation models ignore the azimuthal dependence and solve two-dimensional (2D) problem in range and depth. In this project, various mathematical techniques for applying azimuthal dependence into a full 3-D sound propagation model will be investigated. The […]

The current major outbreak of mountain pine beetle (MPB) in the central interior of BC has prompted research into planning of a future forest that is more resistant to this insect. In the summer of 2005, a lodgepole pine seed orchard was infested by MPB. The orchard contains many clones and the clones are packed […]

Medical image registration is the task of bringing two images into spatial alignment. Automatic and accurate 3D co-registration of nuclear medicine 3D image data with 3D anatomical data is crucial for improving the functional image reconstruction through anatomy-based attenuation correction. Co-registration is also important for the fusion of anatomical data with functional information. Most registration […]