Social Innovation Researcher in Residence – Zero Emissions Innovation Centre of Metro Vancouver

Metro Vancouver’s new Zero Emissions Innovation Centre’s (ZEIC) mandate is to catalyse, accelerate, and scale climate action innovation across Metro Vancouver through program delivery, impact investing, granting, partnerships, capacity building, and research. With the urgency and importance of city-led climate action rapidly increasing, and the impacts of a changing climate being directly experienced by communities […]

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Human-in-the-loop artificial intelligence for identification of fish behavior with high-frequency periodic acoustic fish tags

Innovasea produces fish tags and receivers to track the presence and motion of fish and marine mammals while underwater. Fish tracking (acoustic telemetry) is used by researchers worldwide to determine the abundance and habits of marine life, make decisions about fishing seasons and allowed catches, and help protect marine mammals. Innovasea has developed a novel […]

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Distributed Extremum Seeking Control Using Observer-based Methods

In this project, we propose a new technique for controlling the formation of high-altitude balloons. Instead of using traditional high-pass filters, we suggest using high-gain observers to improve the accuracy and effectiveness of extremum-seeking control. Our research on this multi-agent approach aligns with the main objectives of Stratotegic Inc, which focus on the research and […]

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COSMIC – Software Functional Sizing – AI-NFR-DevOps

Theoretically sound and industry-robust software measures are necessary in industry and research. Functional sizing measures of software, such as COSMIC Function Points – ISO 19761 – are useful for the quantitative planning, monitoring, control, and objective assessment of software projects and organizations. Through this project, the COSMIC Group will adapt this international measurement method to […]

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An integrated and adaptive study examining central and peripheral mechanisms of chronic pain in knee osteoarthritis patients

It has been estimated that 300 million people worldwide have osteoarthritis (OA) and this has increased by 97% over the past 25 years. The pain and loss of mobility experienced by people with knee OA can seriously reduce quality of life, while pain management causes significant healthcare spending. Unfortunately, the pain associated with OA is […]

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Development of novel chemical probes and SARS-CoV-2 antiviral therapeutics through engineered HAI-2 protein inhibitors of TMPRSS proteases

Respiratory viruses exploit the biological activity of human proteins present at the surface of airway cells to allow viruses to penetrate that physical barrier and subsequently replicate in infected cells. It has been established that a family of human proteins, the type 2 transmembrane serine proteases, are directly responsible for this viral entry, but they […]

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Gestion innovante et durable des eaux souterraines à Saint-Hippolyte dans un contexte de développement résidentiel

La ressource en eau souterraine est la source d’alimentation en eau potable de la Municipalité de Saint-Hippolyte (QC). Le développement du territoire ajoute une pression additionnelle à la ressource en eau souterraine et Saint-Hyppolite vise une gestion durable de cette ressource. Le projet vise à créer un observatoire de la ressource en eau souterraine dans […]

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Embedding Social and Health Equity into Greenspace Programs and Policies

Experiencing and accessing nature has been shown to promote individual and communal physical and mental well-being. However, these benefits are not universally enjoyed due to social inequities. There are limited tools and strategies to ensure that greenspace programs and policies have positive social and health equity impacts. During the COVID-19 pandemic, we saw the confluence […]

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Machine learning applications to digital rock mechanics data

In rock engineering practice there is often insufficient time, schedule, and computational/expert resources to investigate complex rock mass phenomena in detail. The large amount of multivariate data that characterizes complex rock mass behaviour creates the ideal conditions to use machine learning. Machine learning allows for the use of all relevant data and can inform the […]

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