Helmets are currently tested and certified based on appropriate standards using a pass/fail criteria. All helmets that are available in the market have passed this standard testing. Unfortunately, the pass/fail threshold is well above known head injury threshold. Other than by comparing the price, consumers do not have a quantitative way to determine whether one […]

A class of compounds the work will be done are tetrahydrofuran-incorporating polyketide macrolides. This class of compounds are natural products found in diverse marine and terrestrial environments, and it has been found to show potentially useful activity in a variety of biological assays. In order to explore and expand this family of macrolides, it is […]

Stroke is the leading causes of permanent disability in adults in the world. However, rehabilitation can be a long process requiring hard labor with high cost. This project proposes to develop a rapid and easy to record indicator of motor performance for individuals with neuro/motor conditions. The team intend to develop an electroencephalography (EEG) based […]

The overall objective for this project is to support the research of two master’s students who would help advance the methods for modelling energy-climate policies, a field in which EMRG in the School of Resource and Environmental Management at SFU is one of the leading research units in the country and in which Navius Research […]

Manchuria, or Northeast China, was a migrant society in which the majority of the population came from Shandong and Hebei during the late 19th century and the first half of the 20th century. However, Manchuria’s migration history in the period of Manchukuo, a puppet state controlled by Imperial Japan from 1932 to 1945, is a […]

Speech separation – isolating different speech sources from a given mixed input signal – is a fundamental task in speech processing. It is a fundamental step in many applications, such as automatic speech and speaker recognition. However, speech separation is also among the most challenging tasks in speech processing. Recent studies involving deep models to […]

There is some evidence that people’s beliefs about how someone is ‘supposed to sound’ may affect how they perceive someone’s speech –to the extent of them hearing an accent that isn’t there. This response time study investigates in what ways “expected” and “unexpected” combinations of speaker ethnicity and accent can affect how speech is processed […]

This study will examine the relationship between language and communication in newborn infants. In the past, it has been found that newborns are able to imitate the facial expressions of adults. It has also been found that newborns generally prefer the sound of their mother’s native language(s). This study proposes to explore the connection between […]

This project explores reasons why there are differences in bicycling behaviour between men and women using two longitudinal datasets. It leverages synergies between two research teams examining bicycling uptake Brisbane and Vancouver. Brisbane and Vancouver are promoting active transportation by bicycle through investing in physical bicycling infrastructure, education programs, and promotional activities. Though it is […]

Blockchain is a decentralized and immutable data structure. The information stored on blockchain is tamper-resistant, immutable and transparent. Blockchain is an interesting platform for managing digital certificates without a central authority. Because paper certificates can be easily faked or tampered with modern computer skills. Additionally, using a central authority for issuing distributing certificates is inefficient. […]

Batteries are main storage systems in many applications such as electric vehicles, shipping, transportation, and utility backup power. With the recent breakthrough in the supercapacitor technology, it is predicted that supercapacitors will challenge the batteries in many of these applications since their power delivery is much faster than the batteries. The current chargers are designed […]

Machine learning can be used to predict employee events around retention, promotion or movement. This project explores how to generate better predictions by exploring correlations and exploiting them through features that increase predictive strength. Furthermore, the project explores how to reliably fine-tune the predictive model to a particular data set in the presence of interdependence […]