This research is concerned with speaker diarization for the purpose of facilitating automated speech transcription. This problem has multiple depths depending on the prior knowledge provided to the system. The type and amount of information about the number and characteristics of the speakers can differentiate this problem in a range from a 1-to-N matching, where […]

Global climate change represents a grand challenge for society, and the risk for Canada’s ski tourism economy is no exception. Climate change impacts on ski tourism’s profitability will have far-reaching consequences for sport, employment, culture, real estate, and community economic development in Canada’s tourism-dependent rural and mountain communities, yet there is currently no analysis on […]

In Canada, motorists are faced with a wide range of environmental conditions. Weather, in the form of rain, snow, other frozen precipitation, fog or strong winds, occurs 10 to 20 percent of the time, depending on the location and year. This project, which involves a three-way partnership between State Farm Insurance, the Institute for Catastrophic […]

Game-based learning tools often make use of questions to measure and encourage learning, but generating questions can be challenging, especially at the scale that companies like Axonify are required to do. In this project, the intern will design, implement, and evaluate a system that can apply machine-learning on a corpus of text (e.g., a textbook) […]

The project seeks to make online management of credit card usage easier by developing new design methods for making information easier to understand in digital platforms. Through rhetorical accommodation, or the process of translating complex information into simpler forms, the project will improve TD’s web-based (EasyWeb) and mobile (TD App) platforms so that credit card […]

The proposed research aims to manufacture smart water sensors for real-time monitoring of Canadian watersheds’ quality. The need for clean water is constant for communities across Canada. With growing concerns related to organic pollutants entering the water supply, the treatment of drinking water and water systems, and their health effects a need has been sown. […]

To satisfy the growing demand of power transmission in urban regions especially from the renewables such as solar and wind, the three-phase underground cable lines have become one of the most attractive solutions which fit both the space and landscaping requirements. The heat generation and energy dissipation characteristics of these underground cable assemblies directly determine […]

Customer satisfaction with an automatic car wash is highly dependent on the quality of the final drying phase, with residual water leading to spots and thus poor perception of performance. As such, Suncor Energy is committed to improving the drying phase of their next generation car wash facilities through principled design guidelines based upon scientific […]

This proposal introduces a novel approach for designing and fabricating a low-cost and low-power heater for a dynamic thermochromic polyvinyl chloride (PVC) film. Thermochromic PVC has a reversible color change by a temperature variation and has applications in buildings. In order to have a dynamic thermochromic PVC, a heater is needed, that can be realized […]

View materialization in relational database systems helps in improving the performance of querying the stored data. With the emergence of large scale data analytics, there are several challenges that need to be considered for robust view management. In this project, we study the performance of materialized views at large scale, when there are thousands of […]

Machine learning (ML) has recently achieved impressive success in many applications. As ML starts to penetrate into safety-critical domains, security/robustness concerns on ML systems have received lots of attention lately. Very surprisingly, recent work has shown that current ML models are vulnerable to adversarial attacks, e.g. by perturbing the input slightly ML models can be […]

Rotational components (e.g., shafts) are key parts of machinery equipment in automotive, aerospace, energy production, etc industries. These components are continuously monitored for structural sensing and failure diagnostics by attaching sensing devices on them. This project aims to implement optical fiber sensors for strain sensing in rotational components. The available technologies for strain measurement in […]