Hybrid modeling framework for flood prediction

A hybrid computational framework for short-term flood prediction in urban watersheds (characterized by overland runoff) will be developed to improve prediction accuracy. The framework aims to accurately predict an event, e.g. flood or no-flood, as opposed to traditional methods which estimate water flow characteristics, e.g. 6 feet above flood stage. Successful early prediction of these […]

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Leveraging native species restoration and remote sensing techniques for large-scale dust mitigation enhancement

This proposal aims to advance large-scale dust mitigation strategies in hydroelectric reservoir sites through improved revegetation outcomes, and through leveraging revegetation efforts to additionally enhance local biodiversity and cultural values. Our team has developed a strategic partnership between university researchers, BC Hydro, environmental industry partners, and the local First Nations community to provide an interdisciplinary […]

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Energy assessment of AI Shading – A Smart Blind technology

The green building movement within building designs has put a spotlight on the application of green technologies to reduce the energy consumption and overall carbon footprint of residential and commercial buildings. In general, approximately half of a building’s total energy usage goes towards heating, cooling, and lighting requirements [1]. According to a recent report from […]

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Micro Geothermal Power Generation in Depleted Wells

Engineers use the earth’s heat to create heat pumps, to store energy, and to generate power. As the world moves away from carbon fuels, geothermal resources are increasingly attractive, promising sustainable, reliable sources of energy. Fortunately, the oil industry has already provided infrastructure to access this resource—depleted horizontal oil and gas wells drilled to a […]

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Deep Breathe Interns Fall 21

Lung ultrasound (LUS) is a portable, non-ionizing imaging method with high accuracy for numerous respiratory conditions.1-3 These properties allow LUS – unlike other lung imaging techniques – to be delivered at scale and outside of traditional healthcare environments that may allow for broadly distributed diagnosis, triage or prognosis of respiratory conditions.4–11 As training for LUS […]

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AAV Vectored Immunoprophylaxis for Prevention of Respiratory Infectious Diseases

This project aims to provide an alternative therapeutic for the prevention and treatment of the virus responsible for COVID-19, SARS-CoV-2, as well as respiratory syncytial virus and influenza. Using a single viral vector platform, we will deliver antibodies from human survivors of these diseases to provide sustained levels of protection against the virus for all […]

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Optical Logic Gate

The Optical Logic Gate project is the beginnings of a pivotal part in demonstrating a larger system architecture that will revolutionize the way information is used and moved. The optical logic gate will show a novel method to implement Boolean logic and demonstrate its scaling up to complex computing and switching functions using all optical […]

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Development of a risk-prediction model

A quantitative risk prediction model is to be constructed. We need to determine if the available data will fit an existing model and validate the results or if a new statistical model is required. Each case will be allocated into one of three categories (low, moderate and high risk). This stratification must have clinical validity […]

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Quel rôle pour les Pessamiulnuat dans la gestion de la réserve de biodiversité Uapishka?

Face aux lacunes des approches de conservation conventionnelles, la présente recherche sur les aires protégées et de conservation autochtones (APCA) vise les objectifs suivants : – Définir une démarche pour la co-construction d’une vision commune de la réserve de biodiversité Uapishka, en termes de valeurs, d’objectifs et de besoins; – Établir un cadre pour le […]

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Computer Application to Assess the Reliability of Existing Structures using Adaptive Kriging

A major challenge involved in assessing the reliability of degrading structures relates to the extraordinary computational cost required to conduct the reliability simulation considering the spatial variability of the structural degradation process (such as damage due to mechanical and environmental effects). The objective of this research is to develop a user-friendly computer application using an […]

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Hybrid Focused and Ultrafast Ultrasound Beamforming HDL Coding for FPGA Deployment

Nicholas’ research will be used to help Daxsonics Ultrasound develop state-of-the-art ultrasound imaging by utilizing new techniques to rapidly generate and capture high resolution image frames. By capturing high-resolution frames ‘ultrafast’, Nicholas will generate high quality, real-time images, that are capable of visualizing slow blood flow in microvasculature.

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SafePath User Interface Development

Sidewalks, pathways and bike lanes are a vital part of cities, they act as conduits for pedestrian movement and access, they enhance connectivity and encourage non-personal vehicle transportion. Having safe, accessible and proper sidewalk and bike lane maintenance is a fundamental necessity for cities to enhance their citizens public health, happiness and maximize their social […]

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