Despite a significant improvement in healthcare systems over the past decades, the rapid growth in the number of patients with multiple chronic diseases – called multimorbidity – stands as a complex challenge to healthcare services that are primarily designed to treat individuals with single conditions. Advances in machine learning as well as in computing power […]

In the twenty-first century, coding literacy provides individuals with a host of useful skills and competencies as well as accompanying psychological benefits. Yet, at present, very few pedagogical models or curricula include coding literacy as a central focus. STEM interventions, often found in after-school care programs and summer camps, help address this gap by offering […]

This project will result in a national environmental scan on LGBTQI2S seniors’ safety in health care, social care and municipal public services. It aims to identify promising policies and practices as well as systemic and structural barriers. It will also include the experiences of LGBTQI2S workers who serve seniors, a largely unexplored area. Egale Canada […]

SOTI Inc. is a Canadian company providing control and management for mobile devices. Insight Agent is a product made by SOTI to help collect various battery specifications such as battery level, voltage, current and other metrics from mobile devices. This research project aims to use a machine learning and neural networks framework to predict the […]

Up to 30% of the population has a Fatty Liver Disease (FLD, a condition in which fat builds up in your liver). Non-invasive ultrasound assessment of this liver condition is an increasing demand in healthcare service due to its high risks leads to advanced liver diseases. However, an ultrasound-based examination has made the manual inspection […]

It has been shown that a mother’s conduct, together with her relationship with her daughter, can directly and indirectly impact her daughter’s well-being and development (e.g., eating habits, body image, and self-esteem). Studies have shown that the mother/daughter relationship influences every stage of the daughter’s development, with particular influence in the formation of the young […]

Oncology specialists are few in numbers and cannot be present within every hospital or clinic providing their guidance and support. There are institutions in this world with oncology experts that can provide the best possible care and the knowledge of these experts is stored in medical case files within the hospital. With the power of […]

This project aims build an autonomous underwriting system that can provide debt financing to small and medium enterprises (SMEs) in the technology sector without human intervention. The research will explore mathematical methods and key factors that are unique to evaluating creditworthiness of those SMEs. The result will be an underwriting system that incorporates statistical methods […]

Given the rise in adolescent mental health concerns, Canadian secondary schools are increasingly focused on implementing programs aimed at improving mental resilience in students. One such program is Team Unbreakable, a 10-week, learn-to-run program that is based on four theoretically driven program components: goal-oriented, group-structured, within the school context, and physical activity based. This program […]

Several Ontario regions have agreed to reduce their carbon emissions by 80% by 2050. However, many of these cities don’t actually have a plan for how they’ll reach this noble but challenging goal. In response, the Waterloo Global Science Initiative (WGSI) (in partnership with several Waterloo Region collaborators) has created a prototype board game called […]

Immunoglobulin A1 proteases (IgAPs) are biological catalysts (enzymes) produced by many pathogens of the human respiratory tract. Their ability to infect these tissues heavily relies on IgAPs, so much so that those unable to produce a functional enzyme are unable to cause disease. As blocking IgAP activity theoretically halts the infection process, IgAPs are a […]

Highly accurate 3D object detectors require significant computational resources, and reducing computation and memory load while maintaining the same level of performance is a critical task for any safe and reliable autonomous vehicle. This research project investigates the deployment of an accurate 3D object detection model to a resource constrained architecture by changing the model […]