Development and Validation of a Needle Decompression Simulator to Support the Acquisition and Maintenance of Advanced Care Paramedics Skills

Paramedics perform a range of services in pre-hospital patient care, often being the first responders for the most critically ill patients. As such, it is crucial for them to learn and retain life-saving clinical procedures throughout their career. Simulation has been designed to provide a way to paramedic training. This project focuses on the development […]

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Enriching firefighter training through the development of a novel virtual reality training simulation

Virtual reality simulation is increasingly becoming a valuable tool in the training of highly-skilled and dangerous professions. Firefighting requires individuals to work in extreme environments that can be difficult or impossible to adequately train for due to cost and safety considerations. This project, in collaboration with the Oshawa Fire Services and City of Oshawa, will […]

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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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Improving the collection performance and reducing the complexity of cyclone systems using a rotary classifier in a dynamic cyclone particle separator

Global pollution emissions contribute to climate change and are damaging to health. In many industrial applications that produce particulate matter, devices such as cyclones are used to separate and capture the particles from the exhaust gas. However, these do not capture the very small, but hazardous, particles and so expensive and energy-intensive secondary systems have […]

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Evaluating green roof performance and design in the Toronto area

Green roofs minimize stormwater runoff, building cooling costs, and provide other social, economic, and environmental benefits. Green roofs are also highly-proprietary, with the industry having many components to suite different applications, all influencing green roof survival and performance. With a green roof by-law and construction standard in Toronto, green roof coverage is consistently among the […]

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Development of a noncontact PPG (ncPPG) system for oxygen saturation clinical analysis to increase the data reliability of SpO2 detection through consumer-level cameras

Sterasure Inc. in its current mission to provide biomedical tools to reinvent the clinical decision support, partners with the University of Waterloo to work towards the development of cutting-edge contactless vital sign monitoring systems. The technology studied in this research will allow the advance in the detection of oxygen saturation levels through cost-efficient systems. Although […]

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Developing an Efficient Ensemble Machine Learning Model for Evaluating Construction Project Bidding Quality and Optimal Winning Strategies

PledgX is interested in building a solution that aims to optimize the bidding process to maximize key performance indicators for contactors and vendors. For bidding optimization, several strategies and methods have been proposed; however, with the massive amount of available bidding datasets, the quality and performance of such methods are questionable. Machine learning introduces intelligent […]

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Stochastic Optimization Approach for the Multi Depot Vehicle Scheduling Problem

Vehicle scheduling is one of the main planning problems for transit agencies. While it is relatively simple to solve in the deterministic and single-depot setting, these assumptions are unrealistic in real-world applications. Specifically, ignoring major sources of uncertainty (such as travel times) and making decisions over average predictions can lead to inferior schedules that incur […]

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3-D Mesoscale Imaging of Turbine Runner Alloys

In the project, we will use an advanced microscope instrument, called a plasma focused ion beam to image the three dimensional structure of turbine materials used to generate hydroelectric power, with the aim of design a method for predicting damage and maintenance schedules in the long term. If we can understand the microstructure of these […]

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Exploring and Exploiting Circular Waste Synergies in the Guelph Agri-Food Eco-System

This research project is an innovative collaboration between the Guelph ‘Our Food Future’ Initiative and the Ivey Business School to advance the circular economy in agri-food sector in Canada. The project will apply Ivey’s unique research expertise in supply chains and operations management to engage with firms in Guelph agrifood ecosystem, identifying and mapping non-obvious […]

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Business Strategy Intern

To help launch an e-commerce platform for Labatt to mitigate the ongoing challenge of COVID-19 and the impact of on-premise locations closing. The e-commerce platform will enable shoppers to buy alcohol in an on-demand way. The phases of the project include market research, competitive analysis, performance monitoring of the pilot project, and providing key strategic […]

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Build Data Pipeline for ML Applications with Kubeflow

In order to create value for the users, Dataraction needs to be able to provide insights and foster knowledge sharing and production from peer-learn activities. To do that, the ability to deploying effective machine learning applications is critical. Kubeflow will give the company the advantage with a well-structured data pipeline that can connect with many […]

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