Machine Learning for Improved Automated Valuation Model

According to “Standard on Automated Valuation Models (AVMs)”, an automated valuation model (AVM) is a mathematically based computer software program that produces an estimate of market value based on market analysis of location, market conditions, and real estate characteristics from information that was previously and separately collected. The purpose of an AVM is to provide […]

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Developing Tools to Track Vocalizing Marine Mammals with Long Baseline Hydrophone Arrays

The scope of this project is to use acoustic data from long-baseline arrays of hydrophones to detect, locate, and track marine mammals based on their vocalization. Specifically, the project aims to assess methods and develop automated tracking algorithms that provide accurate results for individual signals, and a maximum of flexibility regarding the channel, array, and […]

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Development of in operando characterization methods for lithium ion battery materials

The successful commercialization of new cathode materials for lithium ion batteries requires an improved and detailed understanding of the correlations between their structure, properties, and performance. Such a correlation will provide a foundation for better understanding the degradation mechanisms and optimized operating conditions for these cathode materials; pairing new battery materials with ideal applications and […]

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Development of in operando characterization methods for lithium ion battery materials – Year two

The successful commercialization of new cathode materials for lithium ion batteries requires an improved and detailed understanding of the correlations between their structure, properties, and performance. Such a correlation will provide a foundation for better understanding the degradation mechanisms and optimized operating conditions for these cathode materials; pairing new battery materials with ideal applications and […]

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Predicting noise impact on fish communities in the western Canadian Arctic using Passive Acoustic Monitoring

Several fish species produce species-specific sounds that can be identified in the wild using Passive Acoustic Monitoring (PAM) (i.e. dataloggers configured with underwater microphones). Our project will use existing and new PAM recordings to monitor the distribution of several fish species in the western Canadian Arctic, with particular focus on a keystone Arctic species, the […]

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Predicting noise impact on fish communities in the western Canadian Arctic using Passive Acoustic Monitoring – Year two

Several fish species produce species-specific sounds that can be identified in the wild using Passive Acoustic Monitoring (PAM) (i.e. dataloggers configured with underwater microphones). Our project will use existing and new PAM recordings to monitor the distribution of several fish species in the western Canadian Arctic, with particular focus on a keystone Arctic species, the […]

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Valuing Youth Voices after Disaster: Recovery & Resilience in Fort McMurray

When disasters strike, young people are often portrayed as victims with little to contribute to their recovery. This can lead to the absence of critical youth concerns in key decision-making processes despite growing evidence that strengthened community engagement and voice generates social, economic, and environmental benefits in short and long term recovery. The proposed research […]

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Valuing Youth Voice after Disaster: Recovery & Resilience in Wood Buffalo

In the Regional Municipality of Wood Buffalo, a lot can be learned from young people who experienced the 2016 Fort McMurray wildfire disaster. Knowing and hearing their concerns will be critical for shaping how they and their communities recover and build a more resilient future. This means ensuring that youth have support to explore and […]

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Intelligent Residential Energy Management Utility Controller

To research, design, and develop a network communication and control modules that integrate any residential HAVC control system with a utility energy management user interface. Developed signal modulation scheme will be implemented on development testing board. Device will network with all utilities for gas, water, and electricity.

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Mechanisms and Application of MFD Catalyst on the Leaching of Secondary Copper Sulfide

Cu and Ni minerals that have great economic value mostly exist in the form of sulfides, making them difficult to extract using hydrometallurgical processes. Currently, heap leaching is the most economical way to extract these metals from low grade ores. Copper recoveries of many chalcocite heap leaches report around 70% copper recovery. However, the chalcocite […]

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Developing Integrated Smart Home Controllers with Energy-Efficient HVAC Operation

AYO Smart Home is an integrator of new technologies to provide affordable and energy-efficient housing for First Nations communities across Canada. AYO manages the technology and supply chain to deliver Net-Zero houses consisting of efficient building envelopes, heat recovery systems, energy-efficient HVAC, LED lighting, mold-resistant materials, and smart home controllers. After developing an energy-efficient HVAC […]

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