The proposed project investigates the extraction of geo-location information from online map services to augment the available attributes of real-estate properties, thereby enhancing model valuation of property sales price. Specifically, five distinct and concurrent objectives are proposed, each undertaken by a separate intern, to explore the feasibility of utilizing different data types retrieved from online […]

The main objectives of this one-year study are to enhance systems in data management and integration in three ways: 1) create secure networks that can support BYOD; 2) create a data pipeline system for ETL; and 3) integrate ML content generation into a content management system. An Agile methodology will be used to plan and […]

In this study, an integrated model will be developed to forecast oil and gas productions in the next 20 years for Canadian basins. Using the output of the model, supply costs estimation, economic impact analysis and GHG emissions calculation will be conducted over the forecast period from 2020 to 2040. The developed integrated model will […]

Proteins are important molecules. They are the workhorses of your cells and increasingly, they are being developed as new drugs (biopharmaceuticals). Proteins are large and complex and determining their properties is difficult. Our best tools for this are very impractical to use in a high throughput setting, where 100’s of samples need analyzing. In this […]

Heavy oil reservoirs experience complex production problems when polymer gels are used to control water produced from the reservoir. Produced gels destroy facility equipment and can be a potential physical or environmental hazard. The current project will address this issue and propose mitigation measures that may include pre-treatment of the produced fluids prior to entering […]

This project will involve the development and validation of simulation models suitable for studying, designing and implementing a small-sized power system with reduced fuel expenditure and carbon (iv) oxide emissions, for oil and gas extraction activities. The successful implementation of the project will further Audacious Energy Corp.’s knowledge to launch and test a Minimum Viable […]

In general, the goal of project is to investigate the train travel data and figure out the main factors affecting train travel time. Moreover, we will use machine learning algorithms to predict their arrival time to stations and forecast when delays will happen. Specifically, to figure out what factors are affecting train travel times, we […]

This project aims to increase the scientific knowledge base on recovery and rehabilitation after knee injury. Noninjured winter slope sport athletes will undergo a battery of baseline testing including quadriceps and hamstrings maximum strength and rapid force producing abilities, lower body power endurance, workload capacity and fatigue tolerance at the start and end of the […]

The proposed project aims to improve the prediction of mineral resources for better decision making throughout a mining project, that is, to decide whether to reject or to process extracted material using machine learning algorithms. This will help maximize profit for mining companies while minimizing environmental impact as the correct material will be processed more […]

This project seeks to build on existing research regarding the current challenges in social innovation work in Alberta, as articulated in Alberta Social Innovation (ABSI) Connect’s 2016 Report on the Future of Social Innovation. To accomplish this, the intern will interview people in Edmonton who are from multiple marginalized identities (e.g. racialized, identifying as a […]

In order to improve the understanding and awareness for students about the management of energy efficiency and environmentally sustainable practices, this study will evaluate the effectiveness on changing children’s awareness and behavior toward those aspects through of the implementation of educative material, previously developed by Nature’s Ride, by way of scholastic workshops on primary school […]

Apelin, an innate peptide, is a critical component of the apelin pathway, which is responsible for regulatory mechanisms of the cardiovascular system. Apelin is downregulated in patients with cardiovascular disease, therefore limiting the cardioprotective potential of the pathway. This project focuses on the optimization of a biological analog, able to withstand enzyme degradation with improved […]