Development of visual perception systems for autonomous trains using deep convolutional neural networks

This project aims to develop a deep learning-based computer vision system of a high-performance visual perception system to support the Autonomous Rail. The developed visual perception system enables extracting rail tracks and objects in typical rail scenes using consumer grade camera and lidar sensors mounted on a moving rail. This visual perception capacity is fundamental […]

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Volatility Modeling

Volatility is an important variable for liquidity management. It is used to time the submission of buy and sell orders and their aggression levels in stock markets, bond markets, and derivatives markets. Volatility is also an important variable in the pricing of derivatives. Market participants will use volatility estimates to improve the quality of their […]

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TypeSift Digital Marketing Internship

This particular project is designed to research, understand and validate opportunities to build upon our digital marketing practice. Due to the R&D nature of this project, there will be significant prototyping, testing and verifying of different marketing tactics and channels to learn what best drives business growth, and to then draft our strategic roadmap based […]

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StagePage Business Innovation Fellowship

StagePage, a tourism technology company that develops solutions to contemporize decision support systems in the arts and culture sector. The company will work with an MBA student over the course of a six month fellowship to develop innovations in the areas of business modelling and strategy in conjunction with the company’s developing initiative EXPERIENCE AGENCY. […]

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Strategic Communications Officer

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 our services significantly, as our ways of connecting, interacting, and living have shifted online. Connected Canadians has been growing its mentor team significantly to help meet the rising needs of its […]

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Design and Development of Collaborative Robots for Greenhouse Harvesting

Collaborative robots, also known as Cobots, are devices that will help farmers in their farming duties to have better control over their crops, increase harvesting efficiency, and solve labor shortage issues in rural areas. These robots can operate near humans and complete a wide variety of tasks including harvesting crops, precise pesticide spraying and crop […]

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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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