Germicidal Robotic Systems

Coronavirus is highly contagious. It can remain active and infectious on cardboard, fabric, and paper for up to 24 hours, on plastic, stainless steel, and countertops for up to three days. Decontamination, sterilization, and disinfection are standard procedures to prevent and reduce the spreads of COVID-19. The conventional method of decontamination and disinfection is through […]

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Developing Customizable and Affordable Medical Simulation Solutions by Facilitating the Transfer of Research Driven Products into the Simulation Market.

The goal of the proposed research project is to design and develop an application called 3DCrowdGo that uses crowdsourcing to fill the COVID-19-induced gap in health professions simulation training via community-based 3D printing. Since COVID-19 has pushed simulation labs to be held virtually, learners are in need of affordable and portable simulators. 3DCrowdGo will connect […]

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Applications Of Data-Driven Analytics and Decision-Making Optimization for Solar-powered Energy Hubs Integrated With Electrical Vehicles

The worldwide urge to seek solutions for global warming and its negative environmental impacts, has driven the increased adoption of renewable energy resources and electric vehicles (EVs). This increase in the share of renewable energy generation and EV users has widened the implementation of distributed energy resources (DERs) systems and encouraged the move towards developing […]

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Nighttime Bed Occupancy Pilot Project

The care and safety of Persons Living with Dementia (PLWD) within assisted living and other communal living models is extremely important. One key symptom of dementia is disorientation for time and/or place and this can lead to wandering behaviours for residents. Overnight in care homes, the limited is focused on required resident care cannot watch […]

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Risk of Confusion for Trademarks

An important legal task for which natural language processing has a use-case is for assessing the risk of confusion for trademarks. By means of a thorough understanding of factors which are used by legal professionals to make decisions in this domain, we replicate the process by using state-of-the-art deep learning models for natural language processing. […]

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Digital data: linking rural innovation, access, and resiliency through community hubs

Online Digital Hubs (ODH) have the capacity to promote resiliency and connectivity, countering barriers to accessibility and disruption (Lamport-Lewis & Deacon 2020; McShane et.al 2012; Rundel et.al 2020). This is of particular relevance in rural and peri-rural spaces as traditional third spaces such as churches and community centers are in decline, taking with it opportunity […]

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Autonomous Micro-Cell Multilevel Inverter for Utility Scale PV Farms

The proposed product “autonomous three-phase micro-cell multilevel inverter” comes to offer scalable and “plug and power-up” solution for both large scale photovoltaic PV farms and small-scale residential installations. These three phase micro-cells can be scaled in any direction (parallel or series) to increase output power or voltage. Furthermore, each micro-cell is small light weighted dc-ac […]

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Responsible roadmap: Informing road disturbance development decision-making in the Athabasca Oil Sands Region through process-based knowledge.

In the Athabasca Oil Sands Region (AOSR) of Alberta, boreal peatland ecosystems are becoming increasingly fractionated by linear disturbances associated with resource exploration and subsequent extraction. Roads, for example, have the potential to alter peatlands through changes to flow regimes, runoff generation to downstream aquatic systems, and carbon sequestration. The heterogeneous geology in the AOSR […]

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Investigating the effects of an educational intervention on veterinary professionals’ communication with clients about pet obesity

Despite growing concerns about the number of overweight and obese cats and dogs there has been little success in reducing the prevalence of pet obesity. The veterinary industry and prominent pet care companies, including Royal Canin, have indicated that reducing the prevalence of pet obesity remains a priority to protect the health and wellbeing of […]

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Investigating the effects of an educational intervention on veterinary professionals’ communication with clients about pet obesity – Year Two

Despite growing concerns about the number of overweight and obese cats and dogs there has been little success in reducing the prevalence of pet obesity. The veterinary industry and prominent pet care companies, including Royal Canin, have indicated that reducing the prevalence of pet obesity remains a priority to protect the health and wellbeing of […]

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Investigation of the Transient Performance Caused by Supply Pressure Changes in the Supersonic Fluidic Oscillator Driven Superplastic Forming Process

The Superplastic Forming process involves gas injection from a variable pressure supply, to form a heated metallic sheet into a complex automotive body panel shape. The current process involves excessive forming times which allow residual stresses to relax thus avoiding cracks and tearing. Research shows that pressure pulsations of the gas supply increase the allowable […]

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Dialogic Pedagogy in Equity, Diversity, and Inclusion (EDI) Learning

This project examines multidisciplinary methodologies in adult Equity, Diversity, and Inclusion (EDI) education, particularly focusing on strategies involving dialogic processes. Dialogic modes in learning broadly refer to activities of collaborative meaning-making through shared expression and communication rather than monologic processes, whereby fixed meaning is transferred through a one-way approach. As the demand for more conscientious […]

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