Model based optimisation of operational level harvest planning and integration with tactical level plans: Towards the improvement of planning process performance

In this project, computer based models will be developed to support operational harvest planning suitable for the use by a large forest products company operating in British Columbia, Canada. The models aims to enhance decision making processes related to equipment/crew allocation, scheduling, transportation and vehicle routing. Findings of this project will have the potential to […]

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Toward Ore-Specific Sensor-Based Sorting Systems in Mining

A two-year, multi-disciplinary research project requiring MSc, PhD and PDF researchers across Computer Science, Earth and Ocean Science, and Mining Engineering is proposed, working with an industrial sponsor MineSense, focused on the development of new sensors for advanced sensor sorting and so-called ‘non-grade’ applications in previously unaddressed high capacity, low grade mining situations. Specific objectives […]

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Monitoring the genetic variation and population structure of White bear populations in British Columbia to inform ecotourism and resource management

Spirit bears are a valuable symbol of the Great Bear Rainforest in British Columbia. These white bears are an economically and culturally important resource that require effective monitoring to ensure their perpetuation. Safeguarding the future continuation of white bears additionally requires understanding both how the white bear allele is perpetuated and how healthy these populations […]

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Assessment of processes controlling naturally elevated uranium and arsenic concentrations in groundwater and surface water in the Dawson Range, Yukon, Canada

Northern Canada faces great changes from growing resource extraction and global warming, which make a timely understanding of baseline environmental conditions critical. In the Dawson Range, Yukon, naturally elevated concentrations of uranium and arsenic have recently been discovered in groundwater at levels that are susceptible to cause toxic effects in humans and wildlife. This region […]

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Few-Shot Image Recognition with Device-Cloud Collaboration

Deep learning has shown great success in a variety of tasks with large amounts of labeled data in image classification. These achievements have relied on the fact that optimization of these deep, high-capacity models requires many iterative updates across many labeled examples. This type of optimization breaks down in the small data regime where we […]

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Assessing the Potential for Bike Parking at Park-and-Ride Lots

This project examines the business case for implementing secure bike parking at park-andride lots in Metro Vancouver, and identifies a set of generalizable criteria for assessing the viability of secure bike parking at park-and-ride lots and other transit interchanges. There is growing evidence that combining cycling and transit can increase access to and use of […]

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Improving Situation Awareness for a Collaborative Service Robot in Care Environment

Development of Collaborative Service Robot (CSR) technologies usually targets a certain population group like seniors or people with developmental disabilities (DD) and requires tailored and dedicated research and development. This project is ultimately seeking to provide a proof of concept of a CSR platform that can assist people with DD. The overall project involves research […]

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Improving Situation Awareness for a Collaborative Service Robot in Care Environment – Year two

Development of Collaborative Service Robot (CSR) technologies usually targets a certain population group like seniors or people with developmental disabilities (DD) and requires tailored and dedicated research and development. This project is ultimately seeking to provide a proof of concept of a CSR platform that can assist people with DD. The overall project involves research […]

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Identification of gene expression biomarkers for different biotic stress conditions in Arabidopsis thaliana and canola

Plants, like humans, sometimes get sick because of the activities of pathogens. When crops are diseased, their growth vigor will be severely damaged, leading to tremendous yield loss. To cure plant disease, farmers have been relying on synthetic pesticides for centuries; but the over-use of synthetic pesticides has caused pest resistance and serious environmental issues. […]

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Modelling large-scale behaviour of hybrid macro-scale response agents for use in mitigation of marine oil spill impacts

While technologies exist for cleaning up marine oil spills, they become decreasingly effective with increased lag-time between spill and initiation of remediation efforts. Rapid-deploy chemicals could potentially reduce the spreading of marine oil spills, increasing the time available for teams to clean it up. The hybrid spill-treating agents (STAs) under development by BC Research Inc. […]

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