Joint Force System Research & Development

The purpose of this project is to design and evaluate a biofeedback device to help users to complete isometric shoulder and knee joint exercises. Specifically, the device, currently called the “Joint Force System (JFS)”, will measure the user’s force output and exercise form, and provide feedback to encourage ideal levels of effort and correct postures and joint motions. Through this project, the partner organization will gain access to state-of-the-art research facilities, literature, and experienced academic researchers to design and validate the device.

AAV Vectored Immunoprophylaxis for Prevention of Respiratory Infectious Diseases

This project aims to provide an alternative therapeutic for the prevention and treatment of the virus responsible for COVID-19, SARS-CoV-2, as well as respiratory syncytial virus and influenza. Using a single viral vector platform, we will deliver antibodies from human survivors of these diseases to provide sustained levels of protection against the virus for all patients, including the elderly and immunocompromised. This project will help Avamab Pharma Inc.

Digital data: linking rural innovation, access, and resiliency through community hubs

Online Digital Hubs (ODH) have the capacity to promote resiliency and connectivity, countering barriers to accessibility and disruption (Lamport-Lewis & Deacon 2020; McShane et.al 2012; Rundel et.al 2020). This is of particular relevance in rural and peri-rural spaces as traditional third spaces such as churches and community centers are in decline, taking with it opportunity for knowledge sharing and overlooking the lack of resources for new and atypical voices in community planning.

4G Cellular Trespasser Detection System for Farms

There is a strong demand for effective means to detect and record trespass activities onto farm properties, which cost the agriculture industry many hundreds of millions of dollars each year. The goal of the project is to design and develop a trespasser detection system based on the presence of a human being carrying a cell phone. The detection system can be used to surveil farm premises in order to detect and immediately report the presence of any person illegally entering/trespassing on agricultural properties.

Performance Enhancing Effects of Altering Blood Flow Patterns

The vision of Own The Podium is for Canada to be a world leader in high performance sport. With this vision comes the required investment into our understanding of how athletes adapt to training and how this understanding can be leveraged to provide our national level athletes a competitive edge on the world stage. This project aims to understand the adaptations that lead to the incredible improvements in aerobic fitness in high-level endurance athletes observed following blood-flow restriction training.

A DNA-based approach for evaluating the impacts of wood waste on benthic biodiversity

Coastal habitats are critical for the health, livelihoods and social well-being of Canadian communities. In British Columbia, log handling and storage areas create wood waste that falls to the seafloor and does not decompose, degrading important habitats and substantially reducing the number of species can live there. To manage the impacts of habitat degradation, it is important to have accurate methods for measuring species diversity, but marine animals are difficult and time-consuming to identify and many remain unknown to science.

Assessment of metabarcoding eDNA as a strategy for risk evaluation and biomonitoring at disturbed environmental sites in Canada

Industry and environmental consultants are increasingly using environmental DNA (eDNA) metabarcoding approaches to complement traditional environmental risk assessments. However, the application of these technologies to field locations where sampling is limited due to access to secure sites, or remote locations where the environment is very heterogenous, poses challenges to acquiring representative eDNA samples. Furthermore, the interpretation of amplicon sequencing data from environmental samples presents extreme analytical challenges.

Semi-Supervised Learning for NLP Text Classification

Insurance companies collect huge volumes of text on a daily basis and through multiple channels, which can be used for lots of different analyses, including identifying “cause of death”. It is difficult to overestimate the importance of an insurance company’s need to understand the facts and circumstances surrounding an insured individual’s death. These facts, including the manner and cause of death, along with other data about the decedent, are critical to an insurance company’s ability to measure mortality rates.

Anomalous DNS Query Detection Using Machine Learning Approaches

For organizations that use the Internet, their employees will visit thousands of websites every day. However, there is a chance that the destination website is not safe to visit. Such websites may be fraudulent, phishing, or even data-stealing related. On the other hand, determining if the target website link is suspicious or not could help to prevent potential harm. Using a filtered list is the most straightforward way. The problem is, as the database for malicious websites is growing, hackers’ minds are also developing, which requiring a more profound way to deal with such a problem.

Network and Data Security Access Control

Imagine a refrigerator automatically orders the eggs from the online store to deliver at its location and make the payment on behalf of the owner. In today’s world, the network infrastructures are not limited to traditional datacenters or company’s premises. IoT (Internet of Things) and BYOD (Bring Your Own Device) are growing rapidly in our life. Network and Data Security Access Control plays a vital role to protect our data from being stolen intentionally or unintentionally.

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