Anomaly Detection (AD) is a key research problem in the fast-evolving area of Intelligent Transportation Systems. To proactively detect faults, AD methods are applied to detect deviation from regular behavior, which can also be caused by environmental factors such as weather conditions, neighbouring trains, and track curvature. Thales Canada has unlabeled data from their Next-Generation […]

Project Deep Breathe seeks to develop computer vision solutions that will aid in the use of lung ultrasound technology to accurately and easily diagnose lung conditions anywhere these portable machines can be brought. This will be done using large amount of lung ultrasound data at Western University and by employing artificial intelligence students from the […]

Fatigue damage and corrosion are of significant concern in bridge structures and can have grave consequences on public safety. In addition, bridge structures, such as the Jacques Cartier Bridge, that were built in the early 20th century can be more susceptible to damage as the bridge structures were not designed for current traffic load and […]

Abnormal fetal growth is a leading cause of perinatal mortality and morbidity in both developed and developing countries. Fetal growth is primarily assessed by ultrasound due to its low risk, low cost, and wide availability. These studies are cognitively intense for a reporting radiologist and errors can have significant long-term implications. In this study, we […]

Connected Canadians is a non-profit organization that provides older adults with free technology support and training. The COVID-19 pandemic has increased the demand for their services significantly, as our ways of connecting, interacting, and living have shifted online. Connected Canadians has been growing its volunteer mentor team significantly to help meet the rising needs of […]

The generation and supply of energy is the largest anthropogenic source of CO2 and thus contributes significantly to climate change and the associated global consequences. As a result, a reduction of CO2 emissions in energy generation and distribution is an unavoidable key issue that must be addressed. In this research project, the main focus is […]

According to the World Health Organization, one in six people worldwide have a stroke. Two out of three survive, but up to 85% suffer from paralysis and only 5% fully restore. This is one of the reasons why the rehabilitation exercise equipment market reaches $2.2B in 2021, as published in Markets & Markets, REHAB EQUIPMENT […]

In theory, hair cells will be reverted back into stem cells and then pushed towards pancreatic progenitor cells to create pancreatic organoids. The goal of the project is to pluck hair follicles from individuals across Canada, cryogenically preserve them and use those follicles towards reprogramming. We want to determine whether or not we can create […]

The COVID-19 pandemic has highlighted the need to combat infectious diseases and reduce their spread around the world. In particular, bacteria and viruses can survive on many common fabrics for days or even weeks, from which they can be transmitted to people or other surfaces. The proposed research project aims to develop a coating for […]

Mental health issues, such as anxiety and depression, are becoming increasingly common among children and adolescents, yet still only a small portion of youth receive the support they need. For these reasons, many community organizations have been focused on helping children develop the social and emotional skills which help to support children’s mental health and […]

Water electrolysis plays a vital role in clean energy generation by producing hydrogen from water. Proton Exchange Membrane Water Electrolyzers represent a novel technology used for this purpose. The performance of such electrolyzers is highly affected by various degradation processes occurring in such systems. In this project, we are aiming to understand the sources of […]

The proposed research is to develop a method for making valid, representative estimates of public opinion from sufficiently large and diverse non-probability samples such as social media data. We aim to demonstrate the theoretical, methodological, and practical contributions to the field of public opinion research by demonstrating the reliability and utility of this method in […]