Investigating Machine-Learning-Based Mocap Data Augmentation for Live Performance

This project is a collaboration between researchers from the Simon Fraser University and industry partners, Lifelike & Believable Animation Design and Animatrik Film Design. Its goal is to research and develop machine learning techniques for capturing and analyzing movement data in real-time to support the world’s first immersive in-game 3D simulcast of a live, real-time […]

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Indigenous Engagement and Consultation Protocols in a Natural Resource and Mineral Rich Region: A comparison of the guidance from Indigenous Nations, Public Governments and Industry in the Golden Triangle Region

This study aims to identify the elements of Indigenous organizations’ engagement and consultation protocols, and compare with government and industry developed engagement and consultation protocols to analyze commonalities, differences and important considerations, and alignment with the United Nations Declaration on Rights of Indigenous Peoples (UNDRIP), Free, Prior and Informed Consent (FPIC) and the Truth and […]

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AI-enhanced Automated and Large-scale Real Estate Valuation

House price valuation and forecasting are considered as critical urban problems that aid individuals and organizations to execute a variety of property-related practices such as property purchase and selling, taxation, and mortgage property. This project aims to collect appropriate features for house price modeling and to develop a combined machine learning-graph modeling approach to have […]

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Embedding Project

The Embedding Project is a public-benefit research project that relies on strong social science research methods to bring together a global network of business sustainability change agents and harness their collective knowledge to develop rigorous and practical guidance that benefits everyone. This internship will offer an MBA student the opportunity to gain experience in both […]

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Integration of multiple modalities and radar modules for vitals monitoring

This project will seek to use novel radar technology in addition to computer vision to remotely detect vital signs (Heart Rate, Respiratory Rate, Movement and Temperature) of multiple patients. This will help lead to decreased morbidity of patients in areas such as waiting rooms, hospital or police seclusion rooms and other unique environments such as […]

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Development of Prophylactic Therapy to Reduce COVID-19 Infections

Working with Avicanna Inc., a Canadian biopharmaceutical company with advanced natural cannabinoid solutions, we will develop an easy-to-use preventative treatment, in the form of a mouthwash and/or throat gargle product, for both clinical and at-home use. A critical step of the infection is when the virus enters human host cells, which is enabled by the […]

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Visual Analytics Methods to Support Sensemaking under Ambiguity in Avalanche Forecasting

Analysis of complex systems involves much more than what is evident in data alone. Background knowledge and experience are used to inform interpretation. Often this results in ambiguity, a state where multiple potential interpretations must be considered and evaluated. When analysis is shared these challenges are compounded by the complexity of communication. Ambiguity is common […]

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Lynx Population and Landscape Genetics in NW Boreal Landscapes

Our project will use genomics to help understand how climate change and land use are impacting the coupled population dynamics of Canada lynx and snowshoe hares in boreal forests. The lynx-hare cycle is a key process regulating biodiversity the boreal forest food webs, which are increasingly under threat from climate-driven increases in wildfire, insect pests, […]

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