Stem-cell-derived photoreceptor & RPE generation for retinal microfluidics

Worldwide, untreatable retinal degeneration & damage results in a staggering amount of suffering for >85 million blind patients across all age groups. In Canada, severe vision loss incurs the highest direct healthcare costs of any disease group (including: heart disease, diabetes, and cancer) – averaging $33,000/patient/year. While globally, age-related macular degeneration alone has an economic […]

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Gitanyow

Meziadin Junction Holdings sits on Gitanyow territory and derives customers from traffic to these lands. The Gitanyow museum has been closed for 15 years because of financial constraints; therefore, we have been restricted in our ability to share our cultural history with the public. Furthermore, Gitanyow is located in northern British Columbia and as a […]

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Clear Seas- Rediscovering Traditional Textile Methods of the Tsleil-Waututh Nation

This research project aims to explore and document the traditional textile methods of the Tsleil-Waututh Nation, examining the impact of colonization, shipping, and fast fashion on these practices. By reestablishing traditional methods, the project seeks to foster cultural continuity and community connection. The study will employ qualitative methods, including interviews, participant observation, to gather data […]

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Human Mobility, Climate Change, and Human Rights: Addressing the Vulnerability of Environmental Migrants in Latin America

The general goal of this research is to analyze how linked phenomena to climate change are affecting the vulnerable communities in Latin America, what triggers forced migrations, and evaluate violations of human rights faced by environmental migrants in all stages of their movement. We will also examine existing policies and practices aimed at protecting their […]

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A framework for technology integration centered around the concept of Self Actualization

This project aims to enhance and expand a comprehensive framework for holistic technology integration tailored to Indigenous values and needs. The first year will involve developing a detailed research plan, establishing relationships with key community stakeholders, and securing necessary permissions and ethical approvals. The project will then conduct primary consultations and interviews with community members, […]

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Circular Food Innovation Lab II

Wasted food – the result of a linear pattern of producing, under-consuming and disposing of food – is a pervasive problem globally and in Canada, where 58% of the food produced is wasted each year: that’s 11.17 million tonnes of edible food at a value of $49.46 billion (Varney, 2021). Wasted food is a complex […]

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Exploring distinctions in microbial spatial distribution in patients with active and quiescent Crohn’s disease

Inflammatory bowel disease (IBD) is a chronic condition affecting the gastrointestinal (GI) tract, characterised by periods of remission and flare-ups. The two main types of IBD are Crohn’s disease (CD), which can affect any part of the GI tract, and ulcerative colitis, which affects the colon. Predicting flare-ups and choosing the best treatments are major […]

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Penstock air inlet performance during emergency closure

This project aims enhance the safety and reliability of hydropower systems by preventing the creation of significant sub-atmospheric pressures (i.e. vacuum) in penstocks during rapid dewatering events. Air-intake systems relieve vacuum conditions, but the 3D flow dynamics around these systems during emergency scenarios are not fully understood. The project will develop a comprehensive suite of […]

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Fast Scenario Identification and Classification

Self-driving cars represent a transformative innovation in transportation, promising safer and more efficient travel. However, their development faces significant challenges, including accurate prediction, path planning, and safe maneuver execution, especially under varying driving conditions. Ensuring safety across all potential scenarios within the operational design domain is paramount. To effectively address this, we propose developing algorithms […]

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Vision-based Maneuver Classification for Autonomous Driving

The proposed research project aims to address the challenge of accurately detecting and classifying complex driving maneuvers in real-world conditions. Partnering with Matt3r Technologies Inc. in Vancouver, BC, this research will develop a deep learning model that uses multiple types of data, such as dashboard video, to achieve maneuver detection for autonomous vehicles. This innovation […]

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