When utilizing and implementing ML for prediction using administrative health data, two key issues are ML algorithm evaluation and generalizability21. Current approaches evaluate model performance by quantifying how closely the prediction made by the model matches known health outcomes. Evaluation metrics include sensitivity, specificity, and positive predictive value, as well as measures such as the […]

In the last decade optimization is expanded in many applications from food production to sophisticated applications such as engine fuel efficiency. In the proposed package, it is tried to apply optimization techniques along with physics based analytical and semi-analytical methodologies to create a compelling framework which can help thermal-process based oil industry to reduce their […]

Des preuves de l’existence d’ADN circulaire (eccDNA) ont été présentées il y a des décennies, mais ce n’est que récemment que les scientifiques ont vraiment commencé à comprendre comment ces eccDNA fonctionnent. Cependant, les études actuelles basées sur des technologies de séquençage à lecture courte ont des limites dans l’accès à la précision et dans […]

During this internship, I will work with the Science team to deliver business guidance in the field of AI/ML to their clients. This is done through a number of services, including validating AI/ML projects, advising technical groups through their implementation of AI/ML systems, and providing advanced research support by addressing research problems in a specific […]

Canadian Communities are facing a tidal wave of physical infrastructure debt as their physical assets deteriorate due to age. This project aims to use urban LiDAR data (“streetscapes”) and computer vision to identify key physical assets such as (signs, curbs, centerline roads, streetlights, and other features) by there location (latitude / longitude) and key physical […]

Heavy gas oil (HGO) obtained from Athabasca bitumen is very difficult to hydrotreat due to high sulfur and nitrogen content. It is proposed that removal of non-basic nitrogen species from HGO prior to hydrotreating will strongly enhance desulfurization process and improve the length of catalytic cycle. The goal of this research is to develop a […]

Reducing carbon dioxide (CO2) emissions to limit the impacts of climate change requires implementation of CO2 reduction technologies across a wide variety of industries. This research project will develop carbon management and sequestration technologies for reducing CO2 emissions in the mining industry with a focus on diamond mines in Canada, South Africa and Botswana. The […]

The Bookkeeper will provide support for the finance department and assist in various research activities for the different bookkeeping needs of Zones and grant development: • Assistance for the finance department with general administrative and fiscal duties • Prepare, review and manage record-keeping for ASBA and the Zones • Conduct grant research to identify potential […]

This project is to research and develop a portable hot-cold sensation diagnostic device which will be used to test and record the degree of hot and cold sensation on patient’s limbs. Traditional method uses test tubes filled with warm water or cracked ice and water for testing. Temperature less than 5oC and greater than 45oC […]

The purpose of this partnership between the University of Alberta and the Canadian Lymphedema Framework (CLF) is to support the CLF’s mission to promote best practices in risk reduction, early diagnosis and treatment of lymphedema. Lymphedema is a swelling that occurs in a limb or body region as a result of damage to the lymphatic […]

Ayrshire is an investment management firm focused principally on real estate investing in Alberta. We own retail, office and residential properties in multiple markets. Our portfolio is performing above expectations with respect to rent collection but Covid19 has materially slowed investment demand associated with new acquisition or developments. This is a cyclically opportunistic time to […]

The SARS-CoV-2 outbreak, which started in Dec. 2019, has so far not been contained due to unpreparedness and unsuccessful development of antiviral drugs against SARS-CoV-2. In response to this pandemic, we propose development of a diagnostic assay based on saliva samples. We will also standardize virus collection procedure and inactivation steps to reduce the turnaround […]