Dynamic Deep Generative Graph Models for Financial Forecasting

Borealis AI has access to a huge amount of financial data related to the stock market and is interested in leveraging recent developments in machine learning to better understand this data. Some potential questions emerging from this data are: (1) Given the closing price of a stock in the recent months, can we predict the […]

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Mentorship Needs in the Ontario Manufacturing Industry

This project will identify the necessary components for a high-quality mentorship program for workers in the Ontario manufacturing industry. Through review of existing mentorship programs, interviews with mentors and mentees, and a job analysis procedure for the mentor role, this research will assess the mentoring needs of manufacturing workers. The project will produce a task-based […]

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Establishing the Enabling Conditions Required to Facilitate Indigenous-led Nature Based Greenhouse Gas Offset Projects in Canada

Canada is a signatory to global commitments to reduce greenhouse gas levels and one important way this will happen is through the implementation of nature-based solutions for climate change. One example of natural climate solutions is GHG offsets based on restoration, protection and establishment of forests, wetlands, grasslands and peatland areas. Indigenous Peoples are critical […]

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Biodegradable Polyurethane Elastomers Comprised of Bio-based Plasticizers

Polyurethane elastomers for consumer applications, are developed with primarily bio-based polyester-polyols, isocyanates and bio-based plasticizers which are specifically tailored to result with the required mechanical, flexibility, and biodegradability characteristics useful for consumer applications, especially for footwear and foam products for furniture and automotive industry.

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Improvement and validation of the integrity of a novel commercial software for utility pole design

The conventional utility pole design methodologies used a decade or so ago produced poles that would be considered “safe” but in most cases they were not cost-effective solutions. This is because the resulting poles were usually over-designed, mainly due to several simplifying assumptions and incorporation of various rules-of-thumbs in the design procedures. Such design practices […]

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Detection of Human Presence/Activity through Radio Frequency Signals with Artificial Intelligence

The goal of this porject is to develop a prototype system for human presence/activity detection through radio frequency signals. There have een some recent promising results reported in the literature regarding such detections through WiFi signals using artificial intelligence-based approaches. The postdoc will focus on reproducing earlier results, then move on to enhance the system […]

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Turn-Key Robot Motion Planning Solutions

To increase the speed at which companies can develop robots we plan to create a package containing a number of key path-finding programs which can be easily connected with any robot. This will make it easier to produce both commercial and experimental robots without the need to create a path-finding program unique to the robot. […]

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Using drone and remote sensing technology to increase profitability and climate resilience of potato production

Potatoes are among the top five crops worldwide. With the rate of climate change accelerating, the pressures on potato production systems (e.g., heat stress, water stress, pest pressures) will intensify adaptation efforts. Although climate change is already happening, it is often seen as an abstract and distant problem that diverts resources from current production challenges. […]

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From pipeline inspection data to insight

To ensure oil and gas pipelines operate safely, instrumented inspections and assessments are completed on a recurring frequency. A common and valuable inspection method is In-line inspection (ILI). This form of inspection uses a measurement device (ILI tool) that is propelled through the pipeline by product flow and the tool identifies and sizes anomalous conditions […]

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A constitutive model for the cyclic degradation of clays

The proposed research project will provide SRK a reliable tool to estimate the level of displacements developing in a clayey deposit when subjected to cyclic loading of variable amplitudes, such as earthquake loading conditions. Specifically, this tool is represented by a model which can be used during seismic analysis of geotechnical structures. The model will […]

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Species traits as clues for who will win or lose: Large mammal responses to landscape change

Resource extraction has caused extensive landscape change that impacts wildlife. This is especially true in Alberta, Canada, where forestry, oil and gas and similar industries stretch across the province. While these industries are known to negatively affect some wildlife species, other species benefit from the features that these industries introduce, such as roads. In consequence, […]

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