We investigate new possibilities for industrial data visualization and analysis with the latest Virtual Reality and Augmented Reality (AR/VR) technologies. In this cluster research, we will apply the state-of-art visual analytics methodologies to the forestry, manufacturing and mining industries, and evaluate the potential benefits for the newly introduced technologies. The research outcome may benefit industrial […]

Scalable systems must seamlessly grow to absorb large data sets and incorporate increasing numbers of processing units within in various communication fabrics. Broadly considered, this concept applies to cores sharing memory, processors sharing a bus, nodes sharing a network in a grid/cluster/cloud, or services sharing compositions of components. Ironically, attempts to add more resources-whether they […]

The objective of this proposed research is to examine how multiculturalism is experienced and practised in community by women from different cultural backgrounds. Drawing on everyday life stories created by the study participants, we aim to obtain empirical knowledge about impacting factors that positively influence immigrant integration and resettlement experience. Such knowledge will contribute to […]

Threatened by local and global catastrophic effects of climate change, the Indigenous remote communities in Canada’s Arctic are now warming twice as fast as the rest of the world. Along with other factors contributing to the rising temperature, this is also due to the continuous burning of fossils fuels for their energy needs. Specifically, diesel […]

The project is based on focus groups discussions to look at the impact of microfinance on women’s wellbeing in rural parts of Vietnam. This approach will support to evaluate the different ways through which economic burden associated to microfinance may affect women’s well-being and what are the initiatives involving financial institutions and advocates of women’s […]

The International Ice Hockey Federation’s (IIHF) Women’s World Championship tournament is the most significant women’s hockey event outside of the Winter Olympic Games. International events like this are often considered to bring benefits to the local sport community; however, research has systematically demonstrated that hosting alone will not guarantee a legacy. In order to deliver […]

The proposed project will develop a system that combines ambient environmental sensors with sleep detection methods to measure sleep quality and allow the user to improve their focus during activities of their daily lives. Observing sleep patterns through all the stages of sleep to model the users body clock and quality of sleep. In addition, […]

This research project is a partnership between The Wine Islands Grower’s Association, and the University of Victoria. The goal of the project is to better understand how vineyard management techniques effect wine grape quality prior to wine processing. Pinot gris is the most important white wine varietal grown on Vancouver Island and throughout British Columbia. […]

Structurlam Mass Timber Corporation (SMTC) is a renowned Canadian company for its quality mass timber products and ability to fabricate complex design. The company developed a new type of composite glulam as a structural element. Extensive experimental investigation in collaboration with Dr. Alam and Mr. Peng at UBCO revealed the future potential of this composite […]

This paper will explore the industry sectors that attract and retain the largest number of very recent Chinese immigrants (5 years or less) to Canada and the credential recognition services that Chinese skilled workers need in order to be able to work to their full potential in Canada. This paper will also include a review […]

Multidrug-resistant (MDR) bacterial pathogens are ubiquitous in hospitals and community settings. New antibiotics against unexploited targets are urgently needed to better control such infections. The proposed research aims to identify novel, drug targets and therapeutics for antibiotic-resistant nosocomial pathogens, capitalizing on a proprietary indel-targeting approach that takes advantage of structural differences between homologous essential human […]

Machine-to-machine (M2M) devices are defined as the equipments which do not require a direct human interaction for communicating to each other. M2M networks are predicted to have a large end-user market in the near future with numerous potential applications, such as home automation, patient monitoring, transportation, and smart metering. Currently, the main bottleneck is to […]