Mapping DeFi projects of Ethereum blockchain

Decentralized finance (DeFi) is a nascent field that recently gained a lot of media attention. DeFi refers to financial service applications that are operated on blockchain technologies such as Ethereum. Such financial service applications include lending and borrowing, leveraged trading, asset management, insurance, and many new products and services that come out every day. These […]

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Telehealth group interventions for addictions in a community mental health setting during the COVID-19 pandemic

Health services delivered over the internet, often referred to as telehealth services, are becoming an increasingly important way of providing healthcare. This has been highlighted by the COVID-19 pandemic and the necessary shift to online service delivery for many organizations that followed. Although there is some evidence that telehealth delivered mental health services are as […]

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Identifying leading safety culture improvement practices to drive innovation to assist in the prevention of workplace injuries

When safety critical organizations develop safety culture improvement strategies they are rarely shared widely outside the organization as there is limited benefit in sharing with others. In contrast to healthcare there is not a tradition of publishing safety improvements in journals or professional magazines. When innovations are shared externally, the description is often sanitized and […]

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Feasibility Study of Wave Energy Conversion with Grid Connectivity

A renewable energy source that has not received much attention is tidal and wave energy, although numerous studies have concluded that wave power, and to a lesser extent tidal power, could contribute massive amounts to the overall energy picture. This project aims to explore the feasibility of tidal/wave energy absorption and its storage in the […]

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Data-Driven Non-Intrusive Load Monitoring for Farm Facilities based on Smart NeatMeter Devices

Canadian agriculture and agri-food system is one of the world’s strongest and plays a critical role in an economy increasingly dominated by manufacturing and service industries. Within the transition toward automation in agriculture and a significantly growing population, the tracking and visualizing farmers’ energy usage has become an unavoidable demand. Besides, the latest development in […]

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Improving Aveer RFID technology for real-world scenarios

Radio Frequency Identification (RFID) technology has received extensive interests due to its low cost, battery-free, and small size. Many exciting applications based on RFID have been developed in recent years, such as localization, gesture sensing, and health monitoring, etc. However, none of these systems are widely in real-world use. The reason is that most existing […]

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Novel Linearization Techniques for Ultra-Broadband 5G Power Amplifiers

The realization of the upcoming 5th Generation of telecommunication standards (5G) requires ultra-broadband transceiver frontends that satisfy both power efficiency and linearity requirements. Since power amplifiers (PAs) are the most power-consuming blocks in these frontends, they are optimized to achieve higher efficiency, and hence lower operating cost and carbon footprint. However, high efficiency PAs suffer […]

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Leveraging lessons learned from the front lines to inform policy and practice in hospital and community healthcare settings in the context of COVID-19

Among the many significant effects of the novel coronavirus 2019 (COVID-19), Vancouver General Hospital’s (VGH) Department of Psychiatry has observed the impact of the pandemic on the mental health of patients and providers. These circumstances have created unprecedented demand for decisive and rapid action to avert hospital admissions related to mental health, maximize efficiency within […]

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Risk classification over time for individuals who have diabetes

This project/research is based on creating AI models that assist in determining blood glucose levels in individuals that have been diagnosed with Diabetes and classify changes in their risk-levels over a period of time. This research will be carried out by Ian Ho, student at Queen’s University pursuing his Bachelor’s in Applied Science – BASc, […]

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Influencing buyer behavior with Intelligent Marketing and team performance with digital coaching.

The proposed project aims to define and apply a set of AI rules based on customer sentiment, loyalty and purchase behavioral data using data from Drive CX customer experience management platform. The rules would generate “hyper-personalized” marketing offers that result in measurable increases in loyalty and Customer Lifetime Value (CLTV). The deliverable would be a […]

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