We will investigate the skill of using several machine learning techniques to produce long-term (years to decades) forecasts for precipitation. The partner organization provides weather forecasts to a variety of industries and would benefit from more accurate long-term forecasts.

In this research project, the intern will use Computational Fluid Dynamics (CFD) models for multiphase flow to investigate particle deposition in the interceptor-pit of a carwash. Interceptor-pits are designed to remove the suspended sediment in the water that flows through the unit. The study will reproduce the geometry of the interceptor-pit and use numerical simulations […]

Over the last century, continued population growth and industrialization have resulted in the degradation of various ecosystems on which human life relies on. In the case of ocean and river quality, such pollution is primarily caused by the discharge of inadequately treated industrial and municipal wastewater. On initial discharge, the wastewater contains high levels of […]

The general objective of this project is to comprehensively investigate the oil adsorption performance of a novel polymer sponge sorbent and understand how the new sorbent and its combination with other technologies can be used for oil spill response. With the increasing need and interests from marine oil spill response organizations for novel technologies that […]

The Great Northern Peninsula of Newfoundland is in a harsh northern climate with excellent wind power potential. The partner organization, St. Anthony Basin Resources Inc (Sabri), has been approved for a Licence to Occupy (LTO) for a location on the Great Northern Peninsula. The purpose of the LTO is to investigate the feasibility of wind […]

Innovation is increasingly necessary to alleviate the systemic strain on healthcare systems around the world. However, despite significant investment in universities and hospitals to support the integration and application of research its application continues to greatly lag research discoveries. Graduate students play an increasing role in addressing this issue. They have the knowledge, motivation, and […]

Nova Scotia’s investment of Green Fund resources in energy efficiency, solar energy and electric transportation will mitigate carbon emissions immediately. Both the Green Choice Program and renewable energy transmitted via the Maritime Link will significantly decarbonize the electricity grid in the short to medium-term. The initiatives conceived within these programs are cost efficient and low […]

With an estimated population of 15,893, the Municipal District of Willow Creek is a small municipality. Willow Creek Regional Class II Landfill is the only waste management facility for the entire M.D. of Willow Creek region. The Willow Creek Regional Waste Management Services Commission (WCRWMSC) governs and manages this existing disposal facility. The Willow Creek […]

The goal of this project is to develop effective strategies to improve the quality of CarboMat’s asphaltene-derived carbon fibers for various multifunctional composite applications. Through this project, the partner organization, CarboMat Inc., would be able to leverage their funding because of the grant from Mitacs Elevate to work towards further development of their existing asphaltene-derived […]

This research project investigates the design of an all-digital transmitter that is suitable for low earth orbit satellite (LEO) networks. Important requirements for the satellite application include a transmit system that has a software reconfigurable hardware platform that is power efficient and can generate modulated output signals at the carrier frequency. The architecture also needs […]

The conventional approach of applying agro-chemicals uniformly to control pests in the potato field may not be the most efficient solution. The non-uniform distribution of pests and weeds necessitated site-specific management utilizing variable-rate and real-time spraying. To this end, a project is currently underway to implement of camera and detection pest algorithm as sensing system […]

The proposed research aims to use Machine Learning Methods to interpret data obtained during the Electrical Resistivity scans in the delineation of Fracking Sand deposits in Western Canada. Traditional exploration for sand deposits involves pricey and not always efficient auger and sonic drilling on the entire investigated Property. Currently, costs associated with those operations are […]