This project aims to develop lignocellulosic nanomaterials from Canada’s rich forest fibers for packaging applications. With the banning of single use plastic, more and more paper-based packaging products are developed. However, most of the paper-based packaging products do not have satisfied water-resistant performance. To enhance such performance, lamination using plastic or coating with toxic coating […]

Urban black-tailed deer in Esquimalt BC have increased in number, leading to their perception as pests and posing risks to residents through traffic accidents. Lethal removal programs (i.e., culling) are unethical and based on little scientific evidence. We seek to use more humane methods of population control by reducing deer birth rate using birth-control vaccines. […]

This project is to enable groups of people to better brainstorm decisions in which people can have divergent opinions. Building on ValueCharts that lets people input their utility, we will build a tool that lets decision makers explore the space of the expressed opinion to see where there are differences and whether they matter to […]

A new method to determine whether wildlife are present in certain habitats has been developed that involves collecting environmental samples (water, soil, air) and testing them in a laboratory for the presence of cells and tissue that have been shed by wildlife into their environment. These cells and tissue can include hair, saliva, skin cells, […]

Between 1888 and 1958, several hundred government surveyors worked across the mountainous regions of what is now western Canada to create topographic maps. To do so, they used a made-in-Canada technique employing photography and a transit. Left in the wake of their map-making are more than 120,000 photographic negatives. Today these images are used to […]

One promising approach for the advancement of both fuel cells and electrolyzers is the incorporation of anion exchange membranes. These would provide many potential benefits, such as a significantly decrease cost as they do not rely on expensive precious metal catalysts. However, anion exchange membranes still face multiple challenges, one of them being their chemical […]

Form Athletica Inc.’s augmented reality swim goggles (FORM goggles) are on the leading frontier of augmented reality sport technology. With their see-through display and ability to track and display numerous swimming performance metrics in real-time, swimmers have the opportunity to train in a smarter and more efficient way. Exploiting data from the FORM goggles will […]

JavaScript is widely used today to create interactive web applications that replace many traditional desktop applications. However, understanding the behaviour of web applications is a challenging endeavour for developers. Despite its importance and challenges, there is currently not much research dedicated to supporting program comprehension for web applications and popular industrial tools, such as Firebug […]

Additive manufacturing (AM), also known as metal 3D printing, can revolutionize the way we make things by ‘printing’ parts one layer at a time using a laser and metal powder. However, AM is an inherently expensive process. One of the major costs of the process is the metal powders, with some powders costing hundreds of […]

The objective of this research project is to build capacity among Indigenous Nations and the conservation sector to catalyze reconciliation through the establishment of Indigenous Protected and Conserved Areas (IPCAs). To do so, this we will investigate how knowledge and evidence-based research can be effectively communicated in cross-cultural and Indigenous contexts. While the field of […]

This project will help to design and develop the user interface and an image picture archiving and communication system (PACS) for mobile teledermatology for use in an application of skin imaging. This will enable both patients and specialists to acquire, archive and manage dermatological images for further diagnosis, triage and follow-up purposes. The project goals […]

Numerous Machine Learning (ML) tasks are forecasting problems, used to make downstream decisions. Acting on ML forecasts however can changes the distribution of observations relevant to the forecast. The implication is downstream decision optimization procedures implicitly expect the ML model to generalize outside of the observational distribution. Unfortunately, this is often not the case, and […]