At large, the desire of the Mitacs Research Grant is to gain understanding of surgery as a new field of science, dubbed Surgical Data Science (SDS), and to provide computer knowledge compatible robot system development through ontology driven Surgical Process Modeling (SPM) and Deep Learning (DL) methods, which can lead to autonomous surgical phase detection-based […]

With intersectionality theory as the underlying framework for this project, the first aim of this project is to identify specific social locations that are associated with depression/depressive symptoms among post-secondary students. I intend to investigate social locations that go beyond the traditional social justice considerations of intersections between only race/ethnicity and gender. The second aim […]

Prostate cancer is the most common cancer in Canadian men, and early and accurate diagnosis is critical for successful treatment. The proposed research aims to develop AI-powered tools to improve the accuracy of prostate cancer detection using ultrasound technology. In collaboration with Exact Imaging, we will develop AI tools that can analyze images from the […]

In this project, we propose a new technique for controlling the formation of high-altitude balloons. Instead of using traditional high-pass filters, we suggest using high-gain observers to improve the accuracy and effectiveness of extremum-seeking control. Our research on this multi-agent approach aligns with the main objectives of Stratotegic Inc, which focus on the research and […]

The main objective of this research is to assess the feasibility of high-power microwave assisted comminution of kimberlite ores. The idea is that high-power treatment for a short time will yield microfractures and result in a reduction in the production of fine particles, therefore improving dense media separation. This study will involve material characterization studies […]

Numerous industries and government agencies carry out analyses every day using inductively coupled plasma (ICP) instruments that typically waste 95% of the sample. A greener approach would not generate any sample waste. During this project, an infrared heated spray chamber will be developed and coupled to nebulizers from the industrial partner so as to allow […]

The increasing reliance on protein sources alternatives to meat-based products includes insects, which have not been extensively monitored or analyzed so far. Yet, there is evidence that insect may contain potentially toxic elements (PTEs), such as arsenic, mercury, cadmium and lead. The development of reliable analysis methods is required to monitor the levels of PTEs, […]

Social determinants of health, including factors such as social isolation, food insecurity, and income, play a big part in our health. To account for these important social factors, some healthcare organizations have begun to adopt a strategy called social prescribing which involves regularly asking people if they need help with social determinant of health issues […]

Pedicle screws are used often in a spinal fusion to add support and strength to the fusion while it heals. Traditionally, a large incision is made to implant screws and rods that stabilize the spine. In contrast, percutaneous pedicle fixation is a minimally invasive spine surgery technique, performed through the skin without a traditional large […]

Based on the intersection of: (1) the lack in understanding the effects of COVID-19 on various municipal sectors; and (2) the necessity of integrating Indigenous perspectives and data concerning contemporary Indigenous communities within the Kingston area, in informing how to build resiliency, Indigenize projects, and decolonize research, this research seeks to Indigenize the Kingston Resiliency […]

Achievement of competence in medical interventions requires practice, and early stages of practice are best done in simulation, typically using some combination of digital (computer generated) and physical (mannequin) models. The overall objective of the pro;osed MITACS Globalink project is to design, implement and evaluate a practical embodiment of the novel low-cost ultrasound-guided kidney intervention […]

Lung ultrasound is an efficient and widespread method used in bedside diagnostic examinations. The interpretation of ultrasound in emergency care is an extremely difficult task, especially for less experienced physicians. The objective of the project is to implement and validate comprehensive AI-based approach using deep learning to assist in identifying diagnostically relevant imaging features and […]