Optimal Energy Storage for 5G Network

The telecommunication industry is rapidly evolving towards providing faster services to accommodate the global surge in network demand. The next-generation (5G) network aims to increase the current network speed by more than twentyfold. This transition brings enormous benefits for the economy and society. A main challenge faced by network providers, however, is that the existing […]

Read More
Stress State and Probabilistic Assessment of Slip Potential during Geothermal Energy Development, Grande Prairie, AB

The state of stress in depth is an important parameter for subsurface project. One of the applications of knowing the stress state is understanding induced earthquake pattern arising from geothermal energy extraction. Fault slip due to fluid injection (for energy extraction) into underground deep geological layers constitutes an environmental and potential risk issue if induced […]

Read More
High Efficiency Biomass Heating for Remote and Off-Grid Homes

For many regions in Canada, wood is a plentiful and renewable resource that can be burned to offer low-cost and reliable heating for homes and buildings in remote communities. This project will support Demizine Inc., a Canadian company focused on remote and off-grid technology solutions, in developing a new forced-combustion heater system. The wood burning […]

Read More
High resolution wind turbine power outputforecasting

Wind turbine generator power output and consumer electricity demand vary independently from one another. This presents a difficult situation for electricity grid managers as they attempt to exactly match demand using wind turbines and conventional generators (e.g. hydro, fossil fuels). Accurate forecasting of wind turbine generator power enhances management of the electricity grid, allowing for […]

Read More
Discovering novel approaches to robust machine learning and visualization for banking applications

The overall objective of this project is to develop approaches to improve rating robustness that are distributionally robust. We will develop techniques to utilize ensemble learning machine learning models with categorical monotonic constraints. Lastly, we will develop novel data visualization tools for business intelligence tasks that will help decision makers at Scotia Bank.

Read More
Investigating the Industrial Green House Gas (GHG) Emissions in the Greater Toronto and Hamilton Area (GTHA)

The Canadian Net-Zero Emissions Accountability Act 2020 has established an ambitious target of achieving net-zero emissions by 2050. Even though the measures stipulated in the Pan-Canadian Framework on Clean Growth and Climate Change have been helping Canada in making significant progress towards its climate action goals, the eventual goal seems distant. The pursuit for the […]

Read More
Biocrust Propagation and Transplantation on Mine Tailings and Overburden Substrates for Mine Reclamation

This project aims to develop propagation techniques of biocrust species for mine reclamation. Biocrust -which is the community of mosses, lichens, algae, and cyanobacteria-, protects the soil surface from erosive forces, restore nutrient cycling, sequester atmospheric carbon and retains water in its matrix. Its establishment on reclamation sites is therefore very desirable. However, due to […]

Read More