Feature-rich design software is of critical importance to many industries, including manufacturing, architecture, and construction. A common feature of this software is that, to be used effectively, the user must possess technical competency and an understanding of the specific workflows and practices for using the software within their organizations. In the past, users could get […]

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 […]

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 […]

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 […]

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 […]

Quality inspection is very important for manufacturing industry, current solution struggles with accuracy and requires machine vision knowledge to use. We are proposing to use deep learning technology to improve the performance of inspection as well as to ease the use of such system, so that user can simply use labeled data to build a […]

The proposed Mitacs research will strengthen trust-building, communication and learning among community-campus engagement (CCE) practitioners and stakeholders by examining how communities of practice and social learning form at varied scales within the context of CCE work in Canada. Community-campus engagement occurs when members of academic institutions and communities come together within community-based research, learning, and […]

Assessing dangerous avalanche conditions requires a reliable stream of weather and snowpack data, which can be difficult and expensive to collect in many remote areas of Canada. Snowpack conditions can be simulated in these areas by coupling weather forecast models with physical snowpack models, however, this method has had limited adoption by avalanche forecasters. The […]

Assessing dangerous avalanche conditions requires a reliable stream of weather and snowpack data, which can be difficult and expensive to collect in many remote areas of Canada. Snowpack conditions can be simulated in these areas by coupling weather forecast models with physical snowpack models, however, this method has had limited adoption by avalanche forecasters. The […]

This project is a collaboration between Triptech Engineering and Software Services LTD and Laboratory for Alternative Energy Conversion (LAEC) at SFU to develop data analytics solutions for PEM fuel cell industry. The fuel cell industry is suffering from component/system failure and coping with analysis of tremendous amounts of data. Knowledge extraction from this complex data […]

Diabetes mellitus, a common metabolic disorder, exhibits neuropathic complications that can eventually lead to disabling pain (Todorovic 2015). This is attributed to hyperglycemia/high glucose resulting in neuronal hyperexcitability (Todorovic 2015). Importantly, diabetes-evoked neuronal hyperexcitability and neurotoxicity can be caused by alterations in voltage-gated sodium channel (VGSC) expression (Hong, Morrow et al. 2004), resulting in changes […]

Diabetes mellitus, a common metabolic disorder, exhibits neuropathic complications that can eventually lead to disabling pain (Todorovic 2015). This is attributed to hyperglycemia/high glucose resulting in neuronal hyperexcitability (Todorovic 2015). Importantly, diabetes-evoked neuronal hyperexcitability and neurotoxicity can be caused by alterations in voltage-gated sodium channel (VGSC) expression (Hong, Morrow et al. 2004), resulting in changes […]