This exploratory research will seek to answer the primary question generally asked by many industry professionals- “how to evaluate the economic assessment of projects (using Human Centered Design (HCD) philosophy)”. This research will explore how to create an ROI/cost benefit analysis tool to measure economic impacts of the specific type of projects. This report will […]

The industrial partner is fabricating fiber-reinforced thermoplastic composite polymer pipe products for use primarily in the oil and gas sector. This research project explores methods for damage and leakage detection for these piping systems. Of primary interest is Acoustic Emission (AE) testing to isolate, localize and identify damage effects. In this context, the design and […]

The aim of this research and development project for the intern student is to assist in validation tests (both in-vitro and in-vivo) of a GI sampling capsule device being developed by the organization and translate the testing results and the new knowledge to technical documents for the potential customers and partners of the organization. In-vitro […]

Oil recovery from underground reservoirs with small pore-scales can have environmental impacts that can be minimized with prior knowledge of the physics behind fluids/fluids and fluids/rock interaction and the type of fluid to employ for oil extraction. Currently, these analyses can be performed in laboratories at reservoir conditions with rock samples in large pressurized vessels […]

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 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 […]

The extraction, storage, conveyance, and refining of petroleum hydrocarbon liquids (or nonaqueous phase liquids (NAPLs)) often result in their accidental release into the environment. Consequently, NAPLs will travel into subsurface soils and may enter groundwater, further exacerbating the extent of contamination. Aside from being energy-intensive, disruptive of the environment, and incur treatment durations that may […]

This project aims at investigating the use of the eco-friendly solvent, supercritical carbon dioxide (SCCO2), alone or in combination with ethanol and water, to obtain extracts rich in isoflavones from red clover plant. Firstly, SCCO2 will be used for obtaining extracts containing a high concentration of isoflavones. Then, SCCO2 will be applied to the extracts […]

Our project develops novel machine learning algorithms for interpreting complex, multi-agent scenarios in sports analytics. The collaboration with our industrial partner SPORTLOGiQ will tackle open problems in deep reinforcement learning to build novel capabilities in sports analytics for ice hockey. Deep reinforcement learning is a breakthrough technology with prominent successes in games such as Go […]

The intern will research new modelling technology to determine if the new models can make a significant improvement in servicing customers for loan approvals, debt collections, and open banking. The intern will work closely with the partner to understand the banking process and opportunity. The partner organization will receive several benefits from working with the […]

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 […]

The aim of the proposed project is to develop a machine learning classification that predicts energy from turbulent flow atmospheric systems. Being able to predict turbulent flows is of great importance since the atmosphere features strongly in the invisible infrastructure of aviation from established navigation waypoints to conduit airways – the highways in the sky. […]