FRP Strengthening of Underground Reinforced Concrete Structures

Corrosion of the reinforcing steel is an extensive problem that reduces the service life of the structure and results in costly repairs and safety hazards. As a result, such deteriorated concrete structures must be replaced or extensively repaired, rehabilitated or strengthened. As a result, engineers worldwide are continuously seeking durable materials and robust systems to […]

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A DevOps framework for developing, operating, and evolving SDN infrastructure and applications

Software-defined networking (SDN) leverages software to virtualize networking resources and make them more customizable and versatile. SDN is at the core of many ground-breaking advances and a key enabler for major technologies (e.g., 5G, IoT, Industry 4.0, and Smart Cities) that promise to have far-reaching economic and societal impact. To maximize SDN benefits, DevOps, an […]

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Dreamcatcher Informatics: a Web-based and Mobile Information System to Support Land Management, Consultation, and the Preservation of History, Culture and Traditional Ecological Knowledge

The two goals of this project are to: 1. create a demonstration information system based on an existing system called Dreamcatcher for consultation, land-use, occupancy, and planning based on the archival material of the Mississaugas of the New Credit First Nation (MNCFN); and 2. use this system and First Story to preserve and promote Aboriginal […]

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Operationalizing Key Quality Indicators of Glaucoma and Cataract Care in Alberta

Glaucoma and cataracts are separate, but serious conditions of the eyes. If not properly managed, both can lead to significant vision loss. Currently, there is limited quality monitoring of vision care across the Alberta. The standardized use of performance measures that evaluate the glaucoma and cataract care is paramount to improving the quality of vision […]

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Hybrid quantum-classical multiple kernel methods for machine learning

Quantum computers are well-suited to a subset of machine learning tasks known as supervised learning (SL). In SL, a model is trained on labelled data to generate correct labels for novel data thereafter. Robust classifiers can be achieved in SL by using the “kernel trick”, which provides a more expressive metric from a transformed point […]

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Informing Researcher and Clinician Decisions to Interact with a Scholarly Publication: Identifying Preferences for a Journal Transparency Tool

Advances in healthcare and research are published in peer-reviewed biomedical journals all over the world. Our previous research shows that predatory journals, or fake academic journals, pose a threat to this. Predatory journals claim to publish high-quality research, but they do not follow accepted scientific publishing practices (e.g., peer review, indexing). If health decisions are […]

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Detection and prediction of cybersickness in virtual and mixed reality environments using wearables

Virtual and mixed reality (VR/MR) systems have burgeoned over the last couple of years with applications in healthcare, gaming, telepresence, and skills training, to name a few. Within the skills training sector, for example, police/law enforcement training is an important application domain which has seen increased adoption worldwide. In Canada, Public Safety and the Royal […]

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Évaluation des besoins en capture et analyse de mouvement humain dans le contexte des arts du cirque

Au Québec, le secteur des arts du cirque a été fortement touché par la pandémie. Les industries du divertissement souhaitent créer des spectacles virtuels ou hybrides pour se réinventer. Pour ce faire, il est nécessaire de capture le mouvement des acrobates pour le retranscrire dans un environnement numérique, mais la technologie actuelle avec marqueurs sur […]

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Patient decision aid for musculoskeletal injuries in Mild Hemophilia

Hemophilia is a genetic bleeding disorder in which the blood flow is impaired from clotting. If you have hemophilia, you may bleed for a longer time than others after an injury. The primary goal of our work is to enable patients with the condition to make effective decisions when injuries occur. For instance, our proposed […]

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Virtual Mental Health Services for At-Risk Populations: Accessible and Free Psychotherapy

Those living with homelessness and in precarious housing situations experience several barriers to accessing psychological care despite often needing support for their mental health. Some of these barriers include lack of funding to pay for services and difficulty physically accessing services. Providing mental health care virtually, can reduce these barriers by making services more accessible […]

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A transformer-based model for credit card fraud detection

Credit card payments are one of the most common transaction methods in our daily life, such as online shopping, e-commerce, and mobile payment. However, with the extensive usage of credit cards, numerous credit card fraud transactions occur every year and cause a huge economic loss. In order to improve the detection performance, this project proposes […]

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