Thermal system design and verification for the high-altitude balloon payloads

Maintaining all of the equipment in the payload designed for space/near-space operation is a challenge. Because there is insufficient air in the high-altitude environment, the only way to remove heat from sensitive equipment is through conduction and radiation cooling. Other stringent constraints for such payloads, including power consumption, size limitation, and weight limitation, require thermal […]

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Holographic visualization for ultrasound-guided pedicle screw placement training

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 […]

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Exploring Eating Behavioral Phenotypes in Mood Disorders

Mood disorders, including depression and bipolar disorder, represent a common and severe group of mental illnesses. Poor eating behaviors contribute to worsened symptoms and quality of life in these patient populations, but this aspect is not adequately addressed in clinical care. Previous work characterized six groups of eating behaviors in mood disorders, including low appetite, […]

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3D Human Motion Generation Using Learnt Motion Representations

In this internship, we aim to develop a machine-learning model that learns human pose and movements. Such models can be used for AI-assisted human animation creation, motion refinement and denoising, video or imageto- pose conversion, and motion editing. We plan to implement and push state-of-the-art human motion models by taking inspiration from the advances in […]

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Autonomous surgical phase recognition on endoscopic camera images

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 […]

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Investigating Social Locations related to Depressive Symptoms in University Students

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 […]

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Artificial Intelligence for Prostate Cancer Detection using Ultrasound

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 […]

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Distributed Extremum Seeking Control Using Observer-based Methods

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 […]

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Investigation of the Pilot-scale Microwave Treatment of Kimberlite Ores

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 […]

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Development of analysis methods for the risk assessment of insect-based protein sources

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, […]

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