Multi-Camera Calibration and Stitching Under Automated Scenarios

Many vehicles use multiple cameras to provide an unobstructed view to the operator and provide information about the environment around them. As these cameras are placed sparsely around the vehicle, the video sequences are not easily mapped to a regular surface; therefore, distortion from the irregular mapping process provides an insufficient reproduction of the exterior […]

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The Acquisition of Land for Community Benefit: Dynamics of Organizational Structure and Management

Union: Sustainable Development Co-operative (Union Co-operative) seeks to democratize city-building by empowering its members to collectively buy, upgrade, and manage commercial and residential properties to improve the environmental, social, and economic health of Waterloo Region. This project will support the evolution of the Co-operative’s model, the development of affordable housing for refugees, and create templates […]

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Multi-institute domain adaptation by adversarial constrained medical time series representation learning

Hospitals strive to perform cutting edge medical treatment, treat all patients fairly, and reduce operating costs, while also enabling caregivers to spend more time interacting with patients. Artificial intelligence and machine learning promise these things. However, medical data provides unique challenges for machine learning. Currently, if a hospital wants to include an algorithm for automated […]

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Cloud Native Big Data Engineering and Automation

XLScout is a startup engaged in democratizing innovation and connecting research and development with intellectual property (IP) departments across the world. The company is developing proprietary algorithms, using Artificial Intelligence and Machine learning, to mimic the behaviour of an expert searcher. XLScout hosts a data vault of about 130+ million patent documents which occupies approximately […]

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Rare-earth element doping of dielectric thin films using ion implantation

The requirement for online communication continues to grow exponentially, primarily a result of the increased demand for information sharing bandwidth. This demand is driven by video-over-internet applications used for both entertainment, and conferencing (felt most recently in the need for remote working during the COVID-19 pandemic). Integrated optical components fabricated in silicon are receiving particular […]

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Machine Learning Methods for Behavioural Biometrics- ON-372

The objective of this research is to create a data architecture and a state-of-the-art machine learning algorithms to build a robust user-profile system that (i) extracts, stores, builds, and analyses synchronously up to 1 million user profiles generating at least 50 behavioral data (alpha-numeric value of 64 bytes) per second, (ii) provides over 5 millions […]

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Equity in Rural Transit: Investigating the Feasibility of Permanent Public Transit in Wellington County, Ontario

The availability and reliability of public transit has been a long standing equity issue for residents living in rural communities. This issue significantly impacts those who have lower incomes, the elderly, children, and people with disabilities. Access to of consistent and secure funding has been the main factor challenging the sustainability of rural transit. This […]

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A Review of Indigenous Early Learning and Child Care Centre Frameworks for the Nshwaasnangong Child Care and Family Centre in the City of London, Canada

The Nshwaasnangong Child Care and Family Centre in partnership with Western University and CityStudio London provide an internship opportunity for a Western University graduate student to research, what the tensions and debates are when establishing an early learning and child care framework from an Indigenous perspective. Specifically, the intern will complete: 1) a literature review […]

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Identifying and quantifying entrained larval fishes using eDNA and metabarcoding

Monitoring biodiversity using DNA-based approaches has many advantages for large-scale studies. DNA metabarcoding can assess the presence, absence, and abundance of species in a sample where individuals are not morphologically identifiable, such as bulk samples of larval fishes or from environmental DNA (eDNA) in water samples. We propose to develop a high-throughput metabarcoding-based approach that […]

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Prototyping and Industrial Testing of Novel Non-Consumable Thermocouples/Sensor Holders in Molten Steel

Secondary metallurgy is the most value adding step in the steelmaking process. As more sophisticated steel grades are developed, better process control is required to adjust and monitor properties of molten steel in secondary metallurgy. Improved process control also serves to increase productivity and profitability of steel mills. In steelmaking, process control is achieved through […]

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Organizing Digital Film Festivals During and After COVID-19

This project aims to assess the effects of the COVID-19 pandemic on film festivals locally, nationally, and internationally. Though a partnership with the Toronto Queer Film Festival (TQFF), we will survey and interview festival organizers and their audiences in order to assess how film festivals are adapting their programming online and how audiences are engaging […]

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Catalysing Network Change: Exploring Practical Tools to Spark Food Network Action

Food systems organizations work brings together planners, community organizers, public health professionals, food producers, distributors and other food champions to transform food systems through direct action in communities, and collective action across organizations and regions. Many regions across Ontario have identified a fundamental challenge: moving from collaboration to action within their region. This includes the […]

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