Preserving Affordable Rental Housing: Tenant Opportunity to Purchase, Housing Cooperatives, and Land Trusts

Housing is becoming increasingly unaffordable in Canadian cities and tenants are struggling. Financialized landlords and other investment companies are depleting the affordable rental stock in the private market much faster than new social rental units are being created. One solution is for tenants to have the opportunity to collectively purchase their own buildings when landlords […]

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Effective Forest Management in Areas Impacted by Emerald Ash Borer

Emerald ash borer (EAB) is an invasive insect from Asia that was detected in Ontario in 2002 and has caused severe declines in ash trees. EAB is able to kill a healthy ash tree in 3-4 years and has caused declines of up to 99% in some areas 8-10 years after arriving. Although there is […]

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Identifying forests with old growth potential in the Credit River Watershed

Old growth forests provide important ecological services including carbon storage and habitats for a diverse array of species, yet they are often rare across the landscape. These forests are often challenging to identify due to the lack of concrete definitions of what constitutes old growth, as well as the lack of understanding of the typical […]

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Application of a DNN model for seismic performance prediction of structures retrofitted with steel dampers

The intensity and frequency of earthquakes in Korea have increased in the past few years. Thus, the need for seismic retrofit of many middle- or low-rise buildings has increased which were designed without seismic design provisions. Nonlinear time history analyses need to be performed for accurate seismic performance evaluation and for appropriate retrofit of structures. […]

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Multi agent reinforcement learning with multiple time scale on financial markets

I am working on reinforcement learning for finance based on deep mathematical knowledge and the host supervisor is working on financial engineering, reinforcement learning and Markov decision process. We will study deep reinforcement learning for stock market trading and for portfolio management. The goal is to find a practical deep reinforcement agent to manage stock […]

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Integrated Circuit Architectures for Photonic Computing

Photonic integrated circuits allow the computations required for artificial neural networks to be performed using light. By doing so, they obviate many of the challenges associated with electronic computers, paving the way to a new class of information processing hardware. Such hardware could help address the growing demand for machine learning and artificial intelligence in […]

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Deep learning based fault diagnostics for manufacturing systems considering data imbalance

Due to the recent 4th industrial revolution, manufacturing systems have become intelligent with the fusion of the industrial internet of things (IIoT) and cloud computing. To improve the reliability and availability of intelligent manufacturing systems, data-driven fault diagnostic methods have been paid much attention due to numerous data obtained from the manufacturing systems. Among data-driven […]

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A comparison of the geology of stratabound high grade V, Ni, Mo, and PGE mineralization at the Rod property Yukon Territory and other highly metalliferous shales in Yukon and China.

In this project the intern will preform detailed geological mapping and where available drill core logging at a series of sites of known highly metalliferous shales in the Yukon Territory and Northwest Territories. This will be followed by detailed reflected and transmitted light optical microscopy. Select samples will be further analysed using scanning electron microscope. […]

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Supporting adolescent athletes through a team building and mental health program

Canadian adolescent athletes suffer many mental health challenges such as hyper competitiveness and a culture of silence which often precludes individuals from discussing mental health issues. These challenges have been compounded by the COVID-19 pandemic. Team Unbreakable (the partner organization) have run a highly successful physical activity and mental health program which is implemented through […]

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Supporting adolescent athletes through a team building and mental health program – Year two

Canadian adolescent athletes suffer many mental health challenges such as hyper competitiveness and a culture of silence which often precludes individuals from discussing mental health issues. These challenges have been compounded by the COVID-19 pandemic. Team Unbreakable (the partner organization) have run a highly successful physical activity and mental health program which is implemented through […]

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