Using drone and remote sensing technology to increase profitability and climate resilience of potato production

Potatoes are among the top five crops worldwide. With the rate of climate change accelerating, the pressures on potato production systems (e.g., heat stress, water stress, pest pressures) will intensify adaptation efforts. Although climate change is already happening, it is often seen as an abstract and distant problem that diverts resources from current production challenges. […]

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From pipeline inspection data to insight

To ensure oil and gas pipelines operate safely, instrumented inspections and assessments are completed on a recurring frequency. A common and valuable inspection method is In-line inspection (ILI). This form of inspection uses a measurement device (ILI tool) that is propelled through the pipeline by product flow and the tool identifies and sizes anomalous conditions […]

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Fast Awake OSA Screening and Characterization using Anthropometric and Sound Features

Obstructive sleep apnea (OSA) is one of the most common yet underdiagnosed sleep disorders. Undiagnosed OSA, in particular, increases the perioperative morbidity and mortality risks for OSA patients undergoing surgery requiring full anesthesia. OSA screening using the gold-standard Polysomnography (PSG) is expensive and time-consuming. This proposal presents four research projects/points to apply advanced signal processing […]

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A constitutive model for the cyclic degradation of clays

The proposed research project will provide SRK a reliable tool to estimate the level of displacements developing in a clayey deposit when subjected to cyclic loading of variable amplitudes, such as earthquake loading conditions. Specifically, this tool is represented by a model which can be used during seismic analysis of geotechnical structures. The model will […]

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Species traits as clues for who will win or lose: Large mammal responses to landscape change

Resource extraction has caused extensive landscape change that impacts wildlife. This is especially true in Alberta, Canada, where forestry, oil and gas and similar industries stretch across the province. While these industries are known to negatively affect some wildlife species, other species benefit from the features that these industries introduce, such as roads. In consequence, […]

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Application of Topology Optimization for Efficient Composite and Additively Manufactured Structures

Additive manufacturing offers new opportunities for designing high performance composite structures. However, sophisticated numerical approaches are required to tackle the complex task of designing structures which take full advantage of additive manufacturing capabilities. The proposed research project aims to apply topology optimization, a numerical approach capable of determining the best shape of a structure, to […]

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Lives with Houseplants in Times of the COVID-19 Pandemic

This is a research project that will explore human’s relationships with houseplants in times of the COVID-19 pandemic and unpack the psychological, sociological, and environmental significance of these relationships. By digging deeply into our relationship with houseplants and creatively telling stories about them, the project seeks to uncover and deepen our connection with nature in […]

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Effects of cannabinoids on ACE2-rich cells

The COVID-19 pandemic is caused by SARS-CoV2 coronavirus. This virus which infect cells that are vital in human organs leading to multiple diseases in need of timely medical treatment. There is a great need in search of inhibitors to block such viral infections as a means for disease prevention and/or treatment. Cannabinoids, such as cannabidiol […]

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Mass spectrometry analysis of beneficial compound profiles of medicinal mushrooms

Mushrooms represent a source of diverse medicinal compounds that have been exploited for centuries. Beneficial compounds have proven efficacy against disease, including anti-fungal, anti-viral, anti-tumoral, anti-bacterial traits. These compounds, along with potential for new discoveries, drive the exploration of mushrooms as a powerful medicinal source and supports their application in the health sector to discover […]

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Deep Learning based Real-time Object Recognition and Tracking for Immersive Training and Maintenance Applications

The immersive software market, which includes virtual, augmented and mixed reality, is expected to see tremendous global growth over the next five years as players from all sectors race to identify and capture market opportunities of the technology. This project investigates into the business and technical aspects of immersive training and maintenance applications by taking […]

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Using machine learning to identify and contextualize residential rainwater downspouts and guide stormwater outreach programming

Municipalities are seeking ways to reduce the effects of uncontrolled rainwater and one of the primary contributors to the problem is residential downspouts. Downspout disconnections and redirections are low-cost ways to reduce the overall imperviousness of urban and suburban landscapes and ameliorate stormwater issues. This project will use machine learning to analyze Google street view […]

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Applied Flood Modelling System for Flood Inundation Simulation

The team of interns will together build a complete framework for collecting quality data, building flood models, and visualizing the results in an understandable and comprehensive manner. The benefit to the partner organization will be the development of the services to communities at risk of flooding in British Columbia. The deliverable product developed by the […]

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