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 […]

Canadian local governments are seeking new strategies to deliver their core services in more financially and environmentally sustainable ways, including turning to infrastructure asset management as a key tool to manage infrastructure. Municipalities are increasingly recognizing that natural assets such as aquifers, forests, streams and foreshores can provide equivalent or better services to many engineered […]

We would like to develop slippery liquid infused surfaces for molding applications. Molding technology is of great importance in industry and understanding the wetting behavior of molding liquids (polymers/metals) is of fundamental interest and non-trivial as well because of the involved phase transition from liquid to gel/solid upon cooling. Thus, both wetting and post solidification […]

Metal-based direct energy deposition processes, such as robotic welding and laser powder fed additive manufacturing, ideally require feedback sensing of the deposition quality using vision detectors. Image processing algorithms are challenging to develop due to changing process operating conditions. Despite challenges, implementing in-process image processing algorithms is beneficial for traceability and quality assurance, for calibrating […]