Networks are moving towards being adaptive. This means that automation will be used to replace processes which are today highly manual. This project proposes a development of knowledge in the area of algorithms required to enable adaptive networks. The project will train two PhD students to understand optical networks and devise optimization algorithms in the […]

Currently, petroleum-based water resistance membranes are used in the construction industry in order to create a barrier against water. These make recycling a challenge during building demolition, as well as create a significant carbon footprint of their own. The purpose of this project is to develop a paper-based water barrier to replace the petroleum-based alternatives. […]

Contact lens discomfort is one of the primary reasons that cause people to stop wearing them. The discomfort may be due to the buildup of tear film components on the lenses during lens wear. The purpose of this project is to understand where most of the tear film components are depositing on the lens, such […]

The project is about removing noise from video signals, for example, those taken by a professional cinema camera. In this project, we propose to develop a commercially capable noise reduction framework based on one of our patents to noise reduction. A commercial noise reduction is required to automatically recognize the type of noise piesent in […]

This project is focused on evaluating dining improvements being implemented by the partner organization, Schlegel Villages (SV). The first study involves one SV where the CHOICE+ Program is currently being piloted. CHOICE+ is a team-based approach to making physical and psychosocial improvement. The team is guided by Champions to make these changes over time; changes […]

L’hydroélectricité est une source renouvelable d’énergie qui compte pour 16% de de l’énergie produite mondialement. Au Canada, cette proportion grimpe à 60% représentant une capacité de 74 GW. Les besoins en énergie sont prévus augmenter d’ici 2025 notamment dû à : 1. Une volonté croissante de diminuer les émissions de gaz à effet de serre […]

The project entails the creation of a program that will capture data from building sensors. It will analyze that data and predict future trends based on the data collected over a period of time. It will also graph data from sensors over a period of time. Currently both are done manually, take a significant amount […]

This project will use ethnographic and community-based participatory research methods to develop a cross-cultural, community-driven ethical model for caribou research, management, and conservation in and around La Ronge, SK. The project will contribute to caribou work already underway between the partner organization, Prince Albert Model Forest (PAMF), and Lac La Ronge Indian Band (LLRIB), e.g. […]

In this project, we will explore novel modeling methods to predict oil prices, based on a combination of machine learning methods with dynamic multiresolution analysis. The objective is to develop a software to better forecast oil prices. Oil is the world’s leading fuel, and its prices have a big impact on the global environment, the […]

The Royal Columbian Emergency Physicians’ Association – Academic Group along with the Mass Gathering Medicine Interest Group conduct research in mass gathering medicine that measures the local community burden incurred by MGM events and develops appropriate medical response planning and curricula for MGM events. This project focuses on further developing an existing MGM data registry, […]

With some of the least affordable spaces in the country, Vancouver, parts of the Lower Mainland, Sea to Sky and the Victoria area are at risk of losing or compromising their non-profit and social enterprise organizations. This Internship, offered by the Social Purpose Real Estate Collaborative (SPRE) and Vancity Community Foundation, is intended to bolster […]

To understand the effects of various substances on plants in terms of yield and disease severity (phytopathology), we need to evaluate both statistical significance and biological relevance when conducting biological experiments. Biological relevance refers to the nature and size of biological changes or differences seen in studies that would be considered relevant, while Statistically significance […]