Community Capital Pilot Project in the District of Sechelt

This project will test pilot the newly developed Community Capital Tool (CCT) in the District of Sechelt. The CCT has been designed to guide and evaluate municipal level community development initiatives and decisions through a sustainability lens. In Sechelt the CCT will be used to assess the community’s newly adopted Sustainability Action Plan to create […]

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Apply Deep Neural Network to Detect Malignant Lung Nodules in CT Scans

Lung cancer has a poor prognosis and a high incidence in low resource settings. Early detection of malignant nodules can enable prompt intervention and improve treatment outcomes. Despite the recognized benefits of early nodule detection, it is clinically and computational challenging. Convolutional neural network (CNN) is a type of machine learning that has been applied […]

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High-throughput phenotyping of plant health using machine learning and computer vision

Phenotyping is used to develop new strains of plants, understand plant-affecting diseases (phytopathology) and evaluate the effects of various substances on plants. A growing variety of sensors and sensor technology is used to gather data used for phenotyping, in a non-destructive manner, and this overall process of data acquisition and analysis is being automated, leading […]

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Development of forest legacy-based mine reclamation techniques for recolonizing the soil food web and promoting vegetation establishment

The August 2014 tailings dam breach at the Mount Polley Mine, BC severely disturbed downstream forest ecosystems through erosion and tailings deposition. The impacted area presents an opportunity to research using ecosystem legacies (components that survive a disturbance) to rehabilitate disturbed sites. A field trial at Mount Polley is testing seedling establishment and soil food […]

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A fundamental study to better understand how blinding agents interact with particle surfaces in preg-robbing carbonaceous gold systems using electrochemical techniques

One of the most challenging issues in the gold mining industry comes from the carbonaceous ore components adsorbing gold ion complexes, resulting in up to 90% gold loss during cyanide leaching process. The addition of chemical reagents as blinding agents is one of the most promising methods to blind the organic carbon content of ore […]

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Bidirectional seismic site response analysis of granular soil deposits

Seismic response analysis are evaluations that aim to capture how the geological and geotechnical properties of soil deposits at a particular site affect earthquake motions at ground level. Commonly, this type of analysis is performed by assuming the soil layers are horizontal and that the earthquake motion travels in only one direction. However, in reality […]

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Use of non-invasive wildlife detection data to identify habitat of importance to focal species in a conservation and forestry matrix

Understanding how many animals live in a given area, and how those animals move from one place to another, is centrally important for properly conserving and managing landscapes. This project aims to study grizzly bear populations in the Great Bear Rainforest of British Columbia, BC. It will use DNA data collectively non-invasively from grizzly bears […]

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Development of new therapeutics for castration-resistant prostate cancer treatment

Castration-resistant prostate cancer is a late stage disease and many people die of it due to lack of effective therapeutic drugs. In the current project, we propose to develop new therapeutic drug a to specifically target CRPC’s common weak points, which are MCT4 and eIF4E gene’s proteint products that play very important roles in regulation […]

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Long-Term Transportation Alternatives for Metrotown Redevelopment

Private car dependence represents a significant problem and a major obstacle towards a more sustainable future. A good combination of different modes of transportation can create an opportunity to overcome this issue. In this sense, integrating car sharing into Transit Oriented Development can be an ideal combination to promote a smart and sustainable development. This […]

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Hydrogen Storage and Fuel Cell for UAV Integration

The joint objective of the consortium is to undertake R&D necessary to produce a scalable, cost-effective combined hydrogen storage and fuel cell solution for UAV’s that addresses weight and volume and improves refueling logistics. The novel hydrogen storage system will be combined with a high-power density optimized fuel cell stack for UAV’s that integrates with […]

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