Machine learning approach to monitoring and decarbonizing mineral processes

In Canada’s 2030 Agenda for Sustainable Development, one of the goals is to take urgent action to combat climate change and its impacts. According to this agenda, the target is to reduce Canada’s total greenhouse gas (GHG) emissions by 30%. In order to transition to renewable energy, solar and wind power in combination with energy […]

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Revealing Trends in Quantum Technology with Natural Language Processing and Deep Learning Techniques

Recent years have witnessed a surge of interests in exploring emerging research directions of quantum technology, including quantum computing, quantum sensors, quantum cryptography, etc., and the number of scientific publications in the literature in this field has been growing steadily. However, due to the large volume of unstructured text data and the lack of automatic […]

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Autonomous Metro Rail Sensor Data Analytics for Anomaly Detection and Correlation Analysis with Environmental Variables

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 […]

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Deep Breathe: Developing and integrating deep learning strategies to automate and augment the interpretation of lung ultrasound images

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 […]

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Jacques Cartier Bridge Forged Pin Testing and Analysis

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 […]

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Automated fetal anatomy identification to improve quality of obstetrical ultrasound

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 […]

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Connected Canadians – Feedback Coordinator

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 […]

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Implementation of the Quality Management System in VIBRAINT Inc.

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 […]

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Generation of integration-free, high-quality iPS cell lines from a non-invasive, accessible tissue source, the plucked hair follicle

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 […]

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Development and characterization of antimicrobial Ever-gel for medical textiles

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 […]

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A Needs Assessment and Preliminary Program Evaluation of a Community Social-Emotional Learning Program

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 […]

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