Assessment of surgical data from an operating room is a complex process that may require significant resources such as expert input and advanced technology. Automation brings a considerable opportunity to greatly reducing these significant resource requirements – e.g., using computer vision software to detect clinically relevant actions during surgery. However, those detections should be interpretable, […]

Stroke is one of the most prevalent neurological conditions worldwide, especially among the elderly. Motor impairment is one of the main disabilities associated with stroke. The ability of training and physical activity to restore motor function after neural injury has long been appreciated. Nevertheless, even with intensive task-specific training and physical activity, 15–30% of patients […]

Heat exchangers, used in building heating, ventilation and air conditioning (HVAC) systems to transfer heat from hot to cold fluids, are designed to operate under ideal conditions. However, in practice operating conditions may vary with ambient temperature or humidity. HVAC system efficiency can be improved significantly if fluid flow rates are adjusted in response to […]

Schubert calculus is a well-established area of modern geometry that studies configurations and intersections of linear subspaces. Since its invention more than a century ago, it became one of the fundamental tools in different areas of mathematics, physics and computer science that deal with solving various types of linear equations. A typical question which is […]

Over 70% of tasks in manufacturing are still manual and because of this over 75% of the variation in manufacturing comes from human beings. Human errors were the major driver behind the $22.1 billion in vehicle recalls in 2016. Currently when plant operators want to gain an understanding of their manual processes, they send out […]

This project will test a variety of operating conditions used in anaerobic digestion (AD) in wastewater treatment (WWT) plants. The purpose is to identify optimal conditions for AD treatment process. Optimization of AD process would increase production of biogas for production of renewable energy, increase yield of bio-products for agriculture use, reduce WWT plant operating […]

The proposed study aims to address how different social and political climates affects the mental and physical health of transgender and gender diverse people living across 4 U.S. states and 1 Canadian province. This is significant because we are at a turning point in history in which there is both increasing visibility of trans people […]

Computer simulations provide a safe alternative to taking a trial-and-error approach in the real-world. If a simulating intervention is found to be inefficient or even harmful, then it can be canceled without causing harm to real individuals. Consequently, simulations are increasingly sought after for complex social problems such as homelessness and the spread of the […]

Delphia’s business model revolves around generating insights for investing firms that allow them to make better trading decisions. It has been shown that detecting when Twitter users post about recent or future purchases has the potential to increase the accuracy of company sales forecasts, which in turn can inform stock trading strategies. This internship project […]

SS&C processes more than 80% of financial scanned and faxed documents in the US and requires large amount of manual labor in order to map information from a document into another form. Advances in neural networks applied to computer vision have produced text detection and recognition that nears human performance. This project will be leveraging […]

The multiple sclerosis (MS) clinic at St. Michael’s Hospital (SMH) is among the largest in the world. While considerable data is collected from the MS clinic in both structured and unstructured form, the ability to glean this information to assess quality of care and conduct advanced analytics such as predictive modeling is limited. In this […]

A risk-based approach to anonymization includes an assessment of the risk that an attack to reveal or uncover personal information will be realized, known as threat modelling, against the risk that an attack on the data will be successful (e.g., a re-identification). We wish to incorporate the provable guarantees of differential privacy into this assessment […]