Best Practices and Models for Open, Collaborative Scholarship in the Arts & Humanities

Open, digital scholarship in the Arts and Humanities is significant as a mechanism of Canada’s growing digital scholarly infrastructure for facilitating public access and engagement with research. But the path to adopting open, digital scholarship on a national scale has been challenging. Academic organizations like the not-for-profit Iter Canada are committed to facilitating the engagement […]

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Radar-based Real-Time Detection of Overdose Incidents in Small Public Spaces

This project aims to train machine learning models that use millimetre-wave radar data to non-invasively detect health incidents, such as overdoses in public bathroom stalls. The partner, Brave Technology Coop, has developed a small, wall-mounted, radar sensing unit on which we want to directly deploy real-time gesture detection software, an instance of cutting-edge “Edge AI.” […]

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Automobile Purchasing Behaviorial Data Collection, Management, and Analysis

This project investigates automobile purchasing behavior of female millennials. In order to achieve the goal of understanding and making use of purchasing behavior, data are to be collected, managed, and analyzed. In addition to using existing data and third-party data, two major tasks of data collection are the use of questionnaire and web crawling to […]

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Mobile Health Application Validity and Efficacy Study

The first MITACS internship for this project focused on design of the “Be Kalm” Anxiety App. The second internship will focus on the programming, implementation, and evaluation of the resulting design. The App will combine several interactive methods of diffusing anxiety with the use of images, music and heart rate monitoring. The HeartBeats music player […]

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Research into Convolutional Neural Network (CNN) Explainability

Machine Learning is advancing at an astounding rate. It is powered by complex models such as deep neural networks (DNNs). These models have a wide range of real-world applications, in fields like Computer Vision, Natural Language Processing, Information Retrieval and others. But Machine Learning is not without some serious limitations and drawbacks. The most serious […]

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The role of historical Indigenous burning patterns in reducing risk to mountain communities

For thousands of years before European arrival, the Indigenous people of the Rocky Mountains regularly used low-intensity surface fires to keep forests clear of debris and fuel to mitigate the risk of high-intensity wildfire. The proposed project will investigate the historical extent of landscape management by Indigenous burning methods and explore the incorporation of Indigenous […]

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Exploring Small Vessel Interactions with Cetaceans in the Salish Sea

Small vessel interactions with cetaceans (whales, dolphins and porpoises) in the Salish Sea is poorly understood. This is of concern as vessel impacts, such as acoustic impacts and behavioural disturbances, have been categorized as a key threat to the recovery of various cetacean species. To minimize vessel impacts on cetacean species, the Canadian Department of […]

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UAV-assisted wireless communication system in remote areas

In Canada, less than 30% of the geography is covered by cellular systems. There are lots of human activities in these uncovered remote areas for either gaining nature resources or outdoor experience. In this scenario, the walkie talkie is the only and vital method helping people to build connection between each other, which can ensures […]

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Breaking Biofilms with Ordinary Polymers – Light-Activated Antimicrobial Crosslinkers

Microbial growth on surfaces, or biofouling, is a pervasive problem across sectors including medical implants, hospital surfaces, water treatment, and environmental monitoring. Many existing solutions involve the use of harsh chemicals that may harm human health or the environment. In this work, our team of chemists, biologists, and engineers will develop a plastic that includes […]

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Photocatalytic Oxidation of Volatile Organic Compounds in Air

A new type of device that uses a combination of UV light, oxygen, flowing water, and titanium dioxide (a com-mon white pigment) is capable of removing volatile toxins from the air. This device will be investigated using a range of techniques that provide molecular insights into this process, and those insights will help in the […]

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Wise Practices in Indigenous Entrepreneurship Education

In partnership with Tribal Resource Investment Corporation (TRICORP), the University of Victoria (UVic) Gustavson School of Business co-created and designed the Aboriginal Canadian Entrepreneurs (ACE) program. The ACE program provides entrepreneurial training, mentorship and coaching for members of First Nations communities, governments and financial institutions in their home communities. While the ACE program has made […]

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LiDAR-based object detection and tracking for real-time parking availability monitoring

This project will develop a smart parking solution, including both hardware sensors and the analytics platform, that provides real-time parking availability data, which can support decision makings, such as policy refinements, demand-responsive pricing, etc. Our project aims to optimize the rate of parking facilities’ utilization as well as improving drivers’ parking experience. In terms of […]

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