Chemical and biological characterization of the non-tetrahydrocannabinoid profiles of medicinal plants

We propose to perform detailed studies that characterize chemically and biologically and the unaltered ancestral plant species of the Cannabis genus. Chemically, these studies will provide the chemotype profiles for each parental species for a spectrum of non-tetrahydrocannabinoid compounds. Biologically, these studies will provide the pharmacological profiles for each parental species. These data will enable […]

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Housing First as Intervention and its Economic Impact

A review of Housing First practices for housing chronically homeless residents, and their cost-saving potential for municipalities and housing organizations. Housing First treats supplying permanent housing as a priority for recovery for chronically homeless adults suffering from mental health and substance abuse issues. This has been shown to be a more effective housing and treatment […]

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Molecular-Based Analytics for Prediction and Optimization of Performance

Recent advancements in the study of large biological datasets coupled with powerful machine learning tools and new analytical technologies have opened up the ability to predict risks to health and possibly intervene before disease has manifested. Molecular You has developed a web based interface that integrates all these technologies into easy to understand visual health […]

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Quantifying the economic co-benefits of conservation action in the Fraser River Estuary

Popular belief suggests that investing in conservation costs jobs and economic opportunities. This argument continues to be used to steer investment away from conservation and towards industries that exploit natural resources. Part of this argument originates from how we currently evaluate economic return on investment for conservation action. Current methods do not properly account for […]

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Investigation of the role of CDK10 in pancreatic cancer growth and metastasis

This collaboration between the Tai Lab at BC Cancer Agency and the biotechnology company STEMCELL will validate a 3D culturing system that supports the growth of normal and malignant pancreatic stem cells. Specifically, we hope to optimize the culturing condition for the growth media to ensure efficient and reproducible outcomes for pancreatic stem cells growing […]

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Modeling and optimisation of woven composite hydraulic tubes, to reduce in-service defects and failures—Phase II

Niedner Inc is a Quebec-based industrial partner, specializing in manufacturing of fire hoses and water tubing systems, which are vastly used e.g. in forestry fire, the environmental management of contaminated site remediation and water main rehabilitation applications. Their state of the art facility consists of in excess of 70,000 square feet and is exclusively devoted […]

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Training accounting and auditing professionals in blockchain technology

Blockchain is an emerging technology with potential to create new foundations for our economic and social systems, and it is therefore critical for professional services such as accounting and auditing to broadly understand how it works and what it can do. However, like many new technologies, blockchain is difficult to initially comprehend, and is hampered […]

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Searching for Tasks: A Study on Online Searchability for Situated Action

The project is the start of a bigger vision to help improve ‘Employability in an ever-changing, global and digital economy.’ The Partner organization and SFU Communications lab has a larger vision for where we may take this innovation initiative over the long-term, however initial pursuits will start out to develop a better understanding through an […]

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Mass Timber Floor Vibration Design Guide and Validation

Mass timber floors are increasingly becoming an attractive option for floor system when compared to concrete or steel floors. This is particularly significant for multi-story buildings, where floor framing represents a large amount of the buildings cost and material use. Currently, these flooring systems are largely made out of concrete or steel, so there is […]

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Machine learning algorithms utilization for business process optimization and enhanced predictive symbiotic matching within the logistics transportation management ecosystem

In this project, various business challenges within the transportation management industry will be studied to look for ways to optimize and improve the current practices. Artificial intelligence-based algorithms will be developed in order to automate manual intensive processes, optimize route planning and demand management, including price fluctuations, adverse weather events and seasonal impacts, and finally […]

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Development of high-dimensional robust split regression models to measure data quality for improved use of sensors and diagnostics in a heavy industrial setting

We propose the development of novel statistical methods to improve upon detection of normal and abnormal behaviours in industrial sensors. The ability to detect subtle changes in sensor performance in a wide range of operational conditions has significant potential for MineSense Technologies Ltd., which operates sensors in challenging conditions. It can be very difficult to […]

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An order-reduced simulation framework for 3D multiscale geophysical electromagnetic problems

The goal of this research is to investigate the extension of upscaling and multiscale methods and their application to efficiently simulate (frequency-dependent and time-dependent) electromagnetic fields in geophysical scenarios that include metallic-cased boreholes and fractures filled with conductive/resistive fluids. Simulating this type of geophysical settings is quite challenging because they consider highly heterogeneous media and […]

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