The intent of this project is to build a web-page content subsection identification and analysis service. The subsections of a web-page are considered to be meaningful page components (articles, images. media blocks) that can be identified and uniquely fingerprinted. The intent of the project is fourfold: a) sub-component identification and fingerprinting b) sub-component content change […]

Vascular disease (problems with blood vessels) are a leading cause of death and disability. Stroke alone (blockage of blood vessels) is the 4th biggest killer globally (3rd in Canada), most disabling (2/3rd of survivors disabled) and costs society ~£26 billion a year in the UK. It can be hard to detect. A brain that has […]

Insect pests pose a major threat to forestry in Canada, the UK and globally, particularly in the context of a changing climate and global trade. Effective survey and detection tools are needed to provide early warnings of pest outbreaks and provide information to guide decisions about the need for management action. For eruptive and invasive […]

Land-use change and invasive species are two of the three major drivers of biodiversity decline globally, however, interactions between these drivers in their impact to whole community diversity and ecosystem function are relatively understudied. This proposal serves to fill this knowledge gap through collaboration with the long-term ecological monitoring data from the Toronto and Region […]

Candida is a fungus that is often found in healthy mouths, but can also cause infection. Such infections are common in denture wearers where Candida grows on the acrylic denture surface. My PhD is determining what factors on the denture promote infection. The research will measure attachment of Candida and certain bacterial species which live […]

A common assumption about gentrification is that it displaces poor and minority residents, their local businesses, and even neighbourhood crime. However, questions remain about displacement and the social control mechanisms of gentrification–especially on non-violent crimes. Drawing on this work, we will explore what happens to illicit markets, such as sex work and drug sales, and […]

Canada’s pulp and paper sector remains a vital economic engine, particularly for smaller communities. Large volumes of waste residuals, originating primarily from forest biomass and natural minerals, are still landfilled. Research has shown that application of these residues benefits agricultural land and forests, and promotes tree and plant growth in land that has lost its […]

Contemporary society faces a number of information processing challenges. As human lives and digital technology are increasingly connected, our understanding of how we process information and make decisions must keep pace. Philosophy can help with challenges like AI development or fake news by clarifying what we mean by concepts like “knowledge” or “fact”. This project […]

Cancer cells can be expanded and studied alone outside of the body in two-dimensional plastic dishes. These simplistic conditions lack the genetic variation and complex signals found in human tumours that tell cancer cells to grow uncontrollably and spread throughout the body. To effectively identify the signals that fuel breast cancer spread and develop clinical […]

Recent research studies have pointed to sleeping on the back in late pregnancy as possibly increasing the risk of serious problems pregnancy such as low birth weight and delivering a baby that died in the womb (stillbirth). However, because it is impossible to completely and accurately recollect one’s body position while sleeping, these studies are […]

The proposed research seeks to learn more about the ways Sponsorship Agreement Holders (SAHs), collaborate with Constituent Groups (CGs) and Co-sponsors to sponsor refugees to resettle in Canada. For this project, the Canadian Unitarian Council (CUC), will be used as a case study. Given the limited capacity and resources that SAHs have available to them […]

Neural Networks play a key role in many modern technologies such as self-driving cars, drones, malware detection, and face recognition. For each of these technologies security and reliability is paramount. Unfortunately, researchers have shown that it is possible to reliably fool the neural networks behind these applications. Which makes identifying the best methods to defend […]