Power is typically transmitted as electricity in copper wires. This works well in many cases, but there’s a major drawback: electromagnetic interference can disrupt the power supply, which is detrimental for sensitive electronic devices. Another approach is to transmit power as light, which is immune to this interference. A laser converts electricity to light, which […]

We have aspired for a green and intelligent future, where humans, the built environment, and nature are interconnected as a cyber-physical system. To such an Internet of Things, the sustainability and robustness of the power system are crucial, and the reliable operation of the battery-based energy storage systems is essential because of their abilities in […]

mRNA is an essential biomolecule that is ‘translated’ into protein which is another type of biolmolecule that is essential to life. All mRNA has what is called a cap. The cap portion of the mRNA is necessary for initiating the translation process. To make the capped mRNA for therapeutic applications, such as mRNA vaccines, the […]

The CURating Clinical Trials project will fill the service gap to help patients, their families, or clinicians find potential clinical trials for patients. Patients can apply for our service through our website and link directly with a navigator to support their search for possible trial matches. Through the development of a new engagement platform and […]

Linamar uses sensors and gauges to monitor machine performance in factories across the world. However, the infrastructure to fully exploit such data to improve productivity and performance is currently limited as there is no integrated environment available to uniformly collect, manipulate and analyze the data. The primary objective of this project is to create an […]

The intern would work on a project to develop a data science product for the retail/finance sector. By working on consulting projects and with our product development team, they would work to integrate the data science processes we use into a suite of products that helps clients manage and analyze their data in real time. […]

The project goal is to complete a community-wide vulnerability capacity assessment to gain a deeper understanding of the populations that require access to Emergency Social Services (ESS) during a large scale emergency, including the potential impacts of emergencies on these populations. This will aid in resource allocation and priority setting to better prepare for and […]

All data-driven solutions today start with the ingestion (input) of data. Typically that data is messy and unlabelled. However, downstream consumers of data benefit from well-labelled data. Data labelling (assigning categories, data types, privacy and sensitivity tags, source characteristics, etc.) is usually an error-prone, time-consuming, manual effort. There are no readily available off-the-shelf tools that […]

The field of responsible investing is rapidly expanding, with even greater attention on the importance of responsible investment in 2021, as seen in the aftermath of the hugely impactful COP26 summit. Directing our financial resources in a sustainable direction has the potential to have a massive impact on helping us meet the Sustainable Development Goals […]

This project explores how computer algorithms will be used to predict the intelligibility and quality of in-car speech processed by hearing aids. Hearing impaired listeners graded in-car speech for a set of conditions. The conditions include seating position of talker, seating position of speaker, levels of background noise, and hearing aid processing methods. Each hearing […]

Standard cognitive assessments are normally administered over pen-and-paper or desktop computers. Although these tests are accessible, they are often administered by a trained professional to ensure protocol adherence, and shorter tasks are often repeated many times to mitigate the impact of anomalous trials. These considerations render the current practices costly and time-consuming. For this proposal, […]

Cashflow uncertainty due to customer behaviors poses special challenges to a bank’s ability to accurately forecast its future cashflows, and therefore makes its funding and risk management difficult. In the proposed research, we plan to use cutting-edge machine learning techniques to study the behaviors of bank depositors and borrowers in Canada using an extensive proprietary […]