Suicide is one of the most important causes of deaths in the prison environment, both in Canada and internationally. Rates of attempts of suicide and self-harm have been on the rise in recent years. To address this problem, there is a real and immediate need for an automated, private, and effective monitoring system that can […]

Mental health is increasingly being recognized as a key component of elite athletes’ overall functioning and sport performance. Globally, research on antecedents (e.g., sport culture) and consequences (e.g., athletic performance) of mental health and illness in elite athlete populations is growing. However, little is known about the relationship between mental health, mental illness, sport culture, […]

It is well-known that the growth of young firms accounts for a disproportionate share of employment growth and the associated economic welfare. In Canada and Japan, small- and medium-sized enterprises (SMEs) represent around 99.7 percent of each country’s total firms and over 70 percent of each country’s total employment. However, SMEs are known to suffer […]

Carbon capture and sequestration (CCS) technology provides a promising avenue to reduce carbon emissions. CCS works by capturing and storing carbon dioxide preventing it from contributing to climate change. Pressurized Chemical Looping Combustion (PCLC) is a promising next generation CCS technology that use a metal catalyst to react hydrocarbon fuels in an efficient way allowing […]

The Cascadia subduction zone, which extends along a significant portion of western North America from northern California to southern British Columbia, has the potential to produce large devastating earthquakes and tsunamis. Therefore, better understanding the complex structure of the Cascadia subduction zone is paramount to accurately assessing the seismic and tsunamigenic hazard it poses to […]

Replacement of fossil fuels with solar photovoltaic technology is an effective way to mitigate global greenhouse gas emissions. While solar panel deployments are considered most productive for regions of lower latitude and high sunlight hours, they can also be of great benefit in northern communities where use of fossil fuel has a disproportionally high impact, […]

The main objective of the project is to upgrade the existing system at Cheetah Networks to make use of Canadian cellular CAT M1 monitored network data to develop innovative QoE analytics that can be used to provide actionable insights. The system will explore applying new techniques to capture in real-time QoE visibility into experiences locally, […]

Lead scoring is essential for lead management. The result of lead scoring is a list consists of leads with scores assigned indicating how likely each lead can be converted into the next stage of sales process. The Lamb or Spam and the Rule-Based are the two lead scoring methods that have been discussed in the […]

The intern will research and develop an Energy Harvesting Device (EHD) prototype. This device will be used to power a Cargo Security Device (CSD) as well as charge the battery for the CSD. The reason for the battery is that the proposed EHD will not produce energy at all times but the CSD needs to […]

Gnowit is an Ottawa-based information services company that employs artificial intelligence and machine learning to automate the process of monitoring web sources at scale to provide real-time briefings and notifications for the purposes of competitive intelligence, evidence-based policy research and media monitoring. The company currently monitors more than 40 thousand web sources and generates atleast […]

Gnowit is an Ottawa-based information services company that employs artificial intelligence and machine learning to automate the process of monitoring web sources at scale to provide real-time briefings and notifications for the purposes of competitive intelligence, evidence-based policy research and media monitoring. The company currently monitors more than 40 thousand web sources and generates atleast […]

Deep learning in computer vision has set new standards in mobile and web-based applications. The power of learning-based computer vision has also tremendous potential in machine vision. Traditionally, machine vision in manufacturing employs analytic solutions often resulting in excellent accuracy but poor robustness. The goal of this project is to increase robustness of a vision-based […]