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 […]

The goal of this project can be divided into three subobjectives. First, we need to propose, implement and train an accurate eye tracking model on the server, then migrate it to an embedded platform with a simple application that can run the model. Finally, we need to experiment different pruning methods for the network and […]

On time discovery of problems and constant monitoring of construction sites have great economical benefit. It requires the capability of highly efficient and accurate object detection and segmentation algorithms that can work with coarsely labelled training samples. The project is aimed to develop new learning-based object detection and segmentation algorithms for problem detection and mapping […]

This research project investigates the effects of large-scale land use change on organized violence in rural Africa. Through an analysis of contested land in Northern Kenya, this project analyses how the Kenyan Government’s ‘Vision 2030’ project impacts conflicts in the region through large-scale infrastructure and conservation projects. The student is expected to join one of […]

Cellulose nanocrystals (CNC), a form of cellulose, shows a lot of promise in the development of sustainable materials thanks to its unique properties such as high performance, large surface area, is readily available, renewable, and biodegradable. Early methods to synthesize CNC have not been very successful. In order to isolate CNC, to make them ready […]

Based on current research in the field of genetic disorders, gene therapy – through the use of gene editing tools such as CRISPR – is a promising method to rescue defective genes. Stem cells from patient can provide a compelling in vitro model for gene therapy. In this work we are investigating the effects of […]

The project will help us design a machine learning model that can determine the demand transference of our customers. The key objective of this project is to design, research, build, and experiment with machine learning models to ensure low product waste and high customer satisfaction. The model will have several impactful applications across the organization.

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 […]