Prediction of fluid dynamic phenomena is an area of research all on its own. A complete solution to the non-linear Navier-Stokes equations that governed fluid flow has yet to be found using modern mathematics. It is for this reason in order to characterize and test new aerodynamic sensors a test facility must exists where various […]

This project aims to identify an efficient fermentation strategy that will enable Cvictus to generate a protein-rich animal feed using methanol as the nutrient source. The key advantage of the production platform proposed by Cvictus is the use of a proprietary technology that can convert coal to methanol with ultra-low CO2 emissions. Initial research in […]

Nutraceuticals are being used ubiquitously, but seldom undergo rigorous testing. This study is focused on two primary aspects of studying natural health products, specific cannabis and its oils. The first objective is to determine the shelf life (product stability) by performing a series of tests to accelerate the ageing process in order to provide an […]

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 […]