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 […]

Our project develops novel machine learning algorithms for interpreting complex, multi-agent scenarios in sports analytics. The collaboration with our industrial partner SPORTLOGiQ will tackle open problems in deep reinforcement learning to build novel capabilities in sports analytics for ice hockey. Deep reinforcement learning is a breakthrough technology with prominent successes in games such as Go […]

MITACS interns at 1QBit will aid in the research and development of experimental usage of quantum and classical hardware devices for industry use including, healthcare, finance, advanced materials, and optimization. Interns will have the opportunity to work alongside academics and research teams. MITACS interns will gain the practical experience of applying their knowledge for industry […]

The project looks at the Cambridge Self-Help Food Bank to consider how the redevelopment of the existing network can promote opportunities for more integrated community development and cohabitation, while also improving access to food for vulnerable populations. The proposed method is to study the operations of the food banks by analyzing existing and new data, […]

The proposed project will tackle the following inter-related research topics regarding localization, monitoring, and motion coordination of autonomous indoor service robots: (1) adaptive coverage-planning of arbitrary and uncertain non-convex indoor regions, (2) accurate and robust indoor localization of service robots using vision-based technologies, (3) deep learning based depth estimation and high-precision path-tracking control of service […]