Rapid development of micro-fabrication technology, once considered exclusively for aerospace navigation, is now regarded for a wide range of applications, including autonomous vehicle navigation, underwater and industrial applications. Microelectromechanical systems (MEMS)-based gyroscope employs a resonating mass (resonator) to detect changes in motion, which is the central element of the gyroscope. MEMS resonator energy loss is […]

The forestry sector is one of the important pillars in the Canadian contributing to 1,6% for the country`s GDP. Access forest structure and quantifying leaf and wood elements is essential to understand productivity and environmental contribution of trees and forested areas. Light Detection And Range (LiDAR) produces a 3-Dimension point cloud with high spatial resolution, […]

This research will focus on the design of 5G networks to provide for future wireless services include the use cases of Enhanced Mobile Broadband (eMBB), Massive Machine Type Communication (mMTC), and Ultra-reliable and Low Latency Communications (URLLC), and application area use cases such as Smart City, Smart Home/In-building, Augmented Reality, Self-Driving Cars, etc. 5G Technology […]

Small businesses account for 89.6% of the total private labour force in Canada and, despite the vital role they play in the Canadian economy, fewer than half of small businesses will survive 10 years. One of the most commonly cited causes of small business failure is the inability to raise capital to finance its operations. […]

A risk-based approach to anonymization includes an assessment of the risk that an attack to reveal or uncover personal information will be realized, known as threat modelling, against the risk that an attack on the data will be successful (e.g., a re-identification). We wish to incorporate the provable guarantees of differential privacy into this assessment […]

The overall goal of the proposed program is the co-development of education programs and academic research with opportunities to apply this understanding in context of SEF/industry activities. The outcomes will benefit SEF’s business activities in Mongolia and other developing countries with significant mineral resource potential. The program will also support investment and business opportunities for […]

Opioid-related harms such as abuse, misuse, addiction, diversion and overdose have been rising exponentially, a phenomenon referred to as the opioid epidemic. The current research will examine federal and provincial risk minimization measures (RMMs) regarding the opioid epidemic starting in 2016. We will develop a landscape of federal and provincial opioid RMMs, describe trends over […]

The general objective of the proposed activity is to increase the future productivity of Burrard Inlet and the contribution of seafood to the diet of Tsleil-Waututh Nation (TWN) members in support of the TWN Cumulative Effects Monitoring Initiative. The specific objectives are (1) to establish a pre-contact baseline food web and track the arc of […]

Allergic rhinitis (AR) is in inflammatory disease characterized by nasal symptoms. It affects 20-25% of Canadians and is recognized as the most common allergic disorder worldwide. Patients can experience one of several types of responses to allergen onset hence a key hurdle to developing effective treatment plans is accurate diagnosis. The allergic responses are characterized […]

The project will evaluate the Community Scholars Program (CSP) to promote program sustainability, growth and further development. The CSP provides free research database access for 500 community organizations in British Columbia and is a partnership between United Way of the Lower Mainland, Mindset Social Innovation Foundation, and the SFU Library. Now in its second phase, […]

The main concern for helmet performance is the reduction of skull and brain injury risk during impact events. Combinations of shell materials, foams, and three-dimensional engineered structures are used to design hockey helmets. Using current helmet evaluation techniques, the contributions of each of these components cannot be directly assessed. In the proposed work, high-speed X-ray […]

The objective of this project is to develop techniques and tools that leverage artificial intelligence to automate the process of handling system crashes at Ericsson, one of the largest telecom and software companies in the world, and where the handling of crash reports (CRs) and continuous monitoring of key infrastructures tend to be particularly complex […]