Over the last few years, Nureva has experienced an increasing trend with their audio products being purchased for HyFlex (hybrid-flexible) classrooms across North America, particularly in higher education. Research shows that this is something many institutions are investing in and will continue to invest in beyond the COVID-19 pandemic. However, not a lot of research […]

Potholes are among the most common and most unfavorable pavement distresses. Abundantly present in cold climates, potholes are exacerbated by severe freeze and thaw cycles. The cavities left behind by potholes are often dangerous to vehicles and need to be repaired through patching. Due to the widespread nature of this pavement distress, the repairs can […]

Modern organizations collect and process mass amounts of personal data. This data has the power to individually identify an individual and may be linked to some sensitive information about them. Because of this risk, policies and legislation have been implemented to ensure that personal data is handled in an organized and secure manner. As the […]

Wild boars (Sus scrofa) are a highly invasive species which causes destructive damages to property and crops and poses a major threat to the Canadian pork industry because wild boars are also reservoirs for infectious diseases, including African swine virus (ASF). Current control and management of the wild boar populations have been ineffective because these […]

The main objective of this study is to design a new fabric-based wearable tele-rehab system for automatic assessment of patients’ range of motion and quality of movements. This wearable system will consist of a lightweight stretchable sleeve that can accommodate frequent large stresses while keeping the functionality and durability of the device intact. In addition, […]

Individual risks of anxiety are multi-dimensional such that multiple combined risks (biological, cognitive, and social risks) influence the susceptibility of anxiety. This research aims to explore individual risk factors that may increase the susceptibility of anxiety in a clinical sample of children and youth. From this study, we may develop a long standing partnership with […]

The electrical activity of muscles can be recorded from the skin and used to control external devices. Advances in this technology have the potential to allow a broad range of users with disabilities to control assistive technologies. This project will develop a system that uses sensors embedded in garments to measure muscle signals, and artificial […]

Fertility improvement is important in both human being and livestock industry. Increasing the oocyte competence is one of the most critical measures for fertility improvement. miRNAs are small non-coding RNAs which can regulate the estrogen production in the ovarian follicles which in turn affecting the oocyte development and competence. However, its underlying mechanism remains unknown. […]

The portable user friendly devices can help us monitor our health status without any need to refer clinics. This capability is good to timely and efficacious medical interventions. This project aimed at realizing this device by making the key component involved in recognizing the biomarkers. We will synthesize the component at first using available inexpensive […]

The goal of the project is to assess the viability of current synthetic data generation systems. If the generated synthetic data is accurate enough without providing sensitive details it can be used to train machine learning models without needing to share sensitive information. The particular application of this project is to computer logs which can […]

The distribution of IT products in Canada is complex and constantly changing, with dramatic transformation coming from new digital technologies, changing customer expectations and the constant presence of global competitors. This research will assess the IT Distribution Channels in Canada to understand the changes, and to identify the key attributes for survival and prosperity going […]

Pipeline alerts are beneficial to analysts to determine where their attention is needed. However, a high false positive rate leads to a noisy stream and wastes analysts’ time. The first sub-project will aim to classify the alerts as either low or high likelihood of a false positive, allowing analysts to spend their time where it […]