Canadian math scores are in decline. Numerous studies have demonstrated the importance of numerical proficiency for outcomes such as health, employability and financial stability. Therefore, the effectiveness of a child’s math education is key to future success. It is of utmost importance, then, to identify effective math education programs. The proposed project will evaluate JUMP […]

Over the last decade, artificial intelligence has flourished. From a research niche, it has been developed into a versatile tool, seemingly on route to bring automation into every aspect of human life. At the same time, robotics technology has also advanced significantly, and inexpensive multi-robot systems promise to accomplish all those tasks that require both […]

Canonical methods of molecular discovery and reaction optimization rely on “trial-and-error” approaches and slow experimentation with low discovery rates. By harnessing high-throughput experimentation (HTE) with machine learning (ML) methods, artificial intelligence (AI) and robotics, we have the potential to dramatically accelerate the discovery and preparation of next generation molecules and materials. We will extract, unify, […]

As a major contributor to Canadian industrial carbon emissions, miners are placing more emphasis on decarbonization efforts by developing greener strategies and sourcing cleaner energy for their mining operations. Despite some progress, decarbonization attempts by mining companies have been underwhelming mainly due to the financial challenges of renewable system implementations. This study aims to perceive […]

Microarray testing allows high-volume analysis. This work will develop tools for accelerated analysis and modifications to surfaces used within the partner facilities. The goal is to enhance the performance of current assay designs and to inform and guide the next-generation of assay designs (ie 384 well plates) which will support the partner’s technology leadership position. […]

In cold regions, freezing temperatures impede construction activities or put them on hold until warmer seasons, as concreting activities under such conditions are quite challenging. This leads to considerable socioeconomic losses. This research will advance the current knowledge on cold weather concreting, which is a critical issue for Canada and other cold regions. It will […]

In the era of digitization, the success of an SME significantly depends on the active engagement with other actors (e.g., brand consumers, suppliers, influencers) in their business ecosystem. In this research project, we propose to develop an engagement model based on the business ecosystem network. These models will predict the customer engagement community association and […]

Schedulability analysis aims at determining whether task executions complete before their specified deadlines. It is an important activity in developing real-time systems. However, in practice, engineers have had difficulties applying existing techniques mainly because the working assumptions of existing methods are often not valid in their systems. Specifically, uncertainties in real-time systems and hybrid scheduling […]

Shape memory alloys are materials which, when cooled are easily stretched, but when heated, return to its previously “remembered” shape with a high force. This allows for a simple heat engine to be made, which can use hot and cold sources to create motion and do work. The amount of work that can be done […]

When utilizing and implementing ML for prediction using administrative health data, two key issues are ML algorithm evaluation and generalizability21. Current approaches evaluate model performance by quantifying how closely the prediction made by the model matches known health outcomes. Evaluation metrics include sensitivity, specificity, and positive predictive value, as well as measures such as the […]

In the last decade optimization is expanded in many applications from food production to sophisticated applications such as engine fuel efficiency. In the proposed package, it is tried to apply optimization techniques along with physics based analytical and semi-analytical methodologies to create a compelling framework which can help thermal-process based oil industry to reduce their […]

Moose populations in the Thompson-Okanagan region have declined at an alarming rate (up to 90%) in the past 25 years. The moose population decline corresponds with a dramatic increase in forestry cut blocks for salvage logging after mountain pine beetle infestation. Plants in cut blocks grow in full sunlight and have more energy to create […]