Effects of Water Saturation and Foamy Oil Stability Agents on Foamy Oil Flow and the Cyclic Solvent Injection Process

This project is to perform systematic studies to better understand effects of water saturation and foamy oil stability agents on foamy oil flow and the cyclic solvent injection process and provide fundamental parameters for field-scaled prediction. Equilibrium and non-equilibrium PVT tests will be conducted to monitor and analyze the foamy oil performance under effects of […]

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Les effets de l’intelligence compétitive et de la capacité d’absorption sur la performance de l’innovation des PME canadiennes (extension)

L’incertitude et la complexité de l’environnement externe incitent les entreprises, notamment les PME à performer en innovation afin de développer un avantage concurrentiel et de rester compétitives. L’innovation requiert des idées créatrices. Toutefois, la majorité des PME ne disposent pas de ressources suffisantes pour la recherche et développement ce qui rend sa survie difficile. L’intelligence […]

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Strategic BC Salmon Health Initiative: effects of pathogens on the health and conservation of BC’s Pacific Salmon

B.C.’s Pacific salmon are in decline yet the causes are not clear. The role of disease in declining productivity is poorly understood but is potentially an important factor especially given recent controversies involving salmon farms and disease transmission to wild salmon. We have recently collected quantitative data on 47+ viral, bacterial, fungal, and protozoan pathogens […]

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Directing Development of Next-Generation Spectrally-Controlled Plant Growth

Plants are an essential part of our day-to-day lives. They provide us oxygen to breathe through photosynthesis, food and drugs for human health and well-being in addition to many materials and products for everyday use across Canadian society. For plants, light is a central to their growth, development and survival, rendering our understanding of how […]

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An Intelligent UAV System for Power Line and Utility Condition Assessment

This research project will develop an intelligent UAV (unmanned aerial vehicle) system, which is capable of autonomous navigation, for the inspection of power lines and utility. The automated inspection is based on the technologies of computer vision and artificial intelligence. The UAV flies autonomously over the infrastructure capturing the images with high-definition RGB camera and […]

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Examining the Roles of Mouse Immune Cells in Liver Regeneration

The mammalian liver is known for its regenerative property, capable of fully restoring mass and function after injury. However, when this process is in disarray, chronic liver diseases occur, for which the current solution is liver transplantation. Transplantation remains an imperfect solution as the supply is limited and rejection can happen. Today, 25% of patients […]

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Swishwash Island Tidal Marsh Restoration

This project focuses on physical and biological elements of small tidally influenced marsh channels on Swishwash Island in the central arm of the Lower Fraser River Estuary. In addition to fish data; marine invertebrate, vegetation, sediment, and toporgraphic data will also be collected and analyzed. This will provide insight into the practise of monitoring tide […]

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Effects of Chemotherapy and Immune Cells on Ribosomal RNA Degradation (RNA disruption) in Tumour Cells

The business partner in this application (Rna Diagnostics, Inc.) has developed a diagnostic tool to determine whether the tumour(s) of a cancer patient undergoing chemotherapy before surgery is responding (dying) in response to treatment. This tool, called the Rna Disruption Assay (RDA), can help tailor chemotherapy, such that chemotherapy treatment is discontinued (along with its […]

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The control tower of the future

In our vision, each human operator participating to an emergency response mission should equipped with a portable mobile command center that collects, elaborates and displays the meaningful information generated within the area of operations. In such scenario, the availability of a reliable network able to offer the required performance and reliability to an heterogeneous set […]

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A Deep Learning Approach to Soft Sensor Design and Process Optimization for an Industrial Nickel Extraction Process

The objective of this project is to use artificial intelligence (AI) approaches to solve complex industrial problems. The two biggest advantages of AI-based approaches are the ability to continuously learn and also learn adequately from historical data. Traditionally, many process information are unmeasurable during live operations because of instrumentation limitations. Also, plants are not sufficiently […]

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