Microwave-based Processing for Purification of Silicon

Silicon solar cells have increasingly been recognised as key components in future renewable energy solutions. However, their sustained viability will depend on cell performance and cost, with the current emphasis on thinner cells made from lower grade silicon. However, although such cells would be cheaper, their performance would be compromised by the presence of even […]

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A Dexterous Needlescopic Instrument using Soft Robotics for Minimally Invasive Surgery

Robotic-assisted surgical systems have enabled minimally invasive procedures to reduce recovery time and traumas compared to conventional open surgery. Even though there exist some examples of systems capable of accessing remote places within the body, e.g., the current commercial systems are limited by their large size, high cost, and inability to navigate in tortuous paths. […]

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Underwater localization and target identification

In this project, we would model the underwater acoustic behavior. Using the model, we will calculate the distance to the source of the sound with high accuracy despite the underwater environmental conditions. The second part of our project is to classify the source producing the sound. Our algorithm will be able to detect and distinguish […]

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Arsenic release from arsenic-bearing minerals

When waste rocks generated by mining activities are exposed to the air and water, various toxic elements may be released to receiving waters and soils. Arsenic (As) is known as one of the most toxic pollutants which can cause damage to the environment and human health. To implement effective source control, it is essential to […]

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Enabling Decision Making for Lower Mainland Facilities Management through Seismic Risk Modelling of Hospital Infrastructure

Healthcare infrastructure plays a key role in the recovery of communities in a post-disaster scenario. In seismically active regions, such as western Canada, an understanding of the seismic performance of hospitals is essential to inform emergency management and effectively mitigate earthquake risk. This research project aims to develop new methodological approaches to integrate seismic risk […]

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Seismic performance assessment of smart highway bridges using life-cycle costing

Bridge infrastructure constitutes a substantial portion of the national wealth of Canada, whose performance during earthquake events has a significant impact on the public safety. How to enhance the seismic performance of bridge structures is a huge big challenge in civil engineering. And how to promote the application of advanced technique in civil engineering is […]

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Optimizing Chemical Usage at the Barkerville Gold Mine

The Barkerville Gold Mine will host an intern to conduct a study to optimize chemical usage to extract gold and treat effluents. The gold mine obtains ore from a range of deposits with different mineralogical properties. The intent is to minimize chemical use and therefore reduce effluent treatment requirements thereby reducing overall environmental liabilities and […]

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Electro-fermentation of Lignocellulosic Biomass for High Rate Biofuel Production

There has been a noticeable interest across Canada to deploy new approaches to help address our growing energy needs. Second generation bioethanol production from agricultural and forest residues (named as lignocellulosic biomass), can pave the way for achieving this sustainable bio-economy. Regardless the efforts by ethanol producer companies to develop the technologies of generation of […]

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Novel Additives to Enhance the Delivery of Foliar Crop Sprays

Crop yield is increasingly important for feeding the global population and making Canada a more self-sustaining country. Active AgriScience is a BC based company that is developing novel technologies and formulati,ons for improving yield in many types of crops including canota, wheat, com, barley, and others. One of the key services that !clive AgriScience offers […]

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Advanced machine learning techniques for ore body modelling

Geostatistical techniques offer a means of mathematically approximating the spatial patterns of geological parameters. The geostatistical interpolation and simulation methods are commonly used for modeling ore bodies. The accuracy of these models has significant impacts on the reliability of mine planning and design. The proposed research project aims to apply advanced machine learning methods, geared […]

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