Diet-ESP: Compressed Profile for IPv6/IPsec over the 5G Fronthaul

This research project aims to speed up 5G networks by making the way IPv6 and IPsec are used more efficient, especially over important critical interfaces in the Radio Access Networks (RAN). We plan to fully specify Diet-ESP, a simpler and lighter form of IPsec that takes up less space by using new compression methods. We […]

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Software development, integration, and testing of a 5G-based healthcare solution

The current healthcare system is struggling with maintaining quality and managing costs. With more older people and more cases of chronic illnesses, these problems are likely to get worse. By using the fast 5G network set up by Rogers at the University of Waterloo, along with medical monitoring devices from Mespere LifeSciences and the Tang […]

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Latent Representations of Loan Delinquencies from Neural Networks for Decisioning Customers and Assessing Phone Call Strategies

During the previous Mitacs PhD internship (IT11500), a long short-term memory encoder-decoder (LSTM-ED) neural network survival model was developed to predict time to debt repayment for ATB collections customers. This model is novel from both methodological and practical perspectives. The LSTM-ED simultaneously predicts the probability that debt will be repaid within the first 90 days […]

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Kinetics of nickel metal extraction from mixed hydroxide precipitates (MHP) using high-pressure carbonylation

This project investigates the extraction of the critical minerals nickel and cobalt using vapour metallurgy (or Mond process) from a material called mixed hydroxide precipitate (MHP), a common feed material for the refining process produced from laterite nickel ore. MHP contains both nickel and cobalt in different ratios depending on the feed material source. The […]

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A Generative Artificial Intelligence Driven Decision Support System for Spatial Optimization of Terrestrial Nature-Based Solutions in Canada

The proposed research project aims to determine the optimal utilization of less productive agricultural land in Canada. The objective is to leverage the capabilities of generative artificial intelligence together with optimization techniques to decide where nature-based solutions, such as smart farming, tree planting, and natural area regeneration, should be implemented. Selecting the appropriate strategies for […]

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Electrospun composite solid-state electrolyte membranes based on lithium conductive metal-organic framework for high-energy-density lithium metal battery

As Canada advances to a sustainable and prosperous net-zero future by 2050, investment and research into the battery industry can help accelerate progress towards net-zero emissions targets and are a vital resource to support Canadian industry and workers in seizing economic opportunities for next-generation Li-ion batteries. Li metal batteries, as one of the most promising […]

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Evaluating the Association of Intermediate Social Determinants of Health, Dementia Modifiable Risk Factors, and Cognitive Health for On-Reserve First Nations Peoples

The incidence of dementia, a clinical syndrome marked by progressive cognitive decline, is rising more steadily among Indigenous populations in Canada, mainly due to modifiable risk factors, such as diabetes and physical inactivity. Previous research has found that cultural and social connection and access to healthcare impact the incidence of many of the modifiable risk […]

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The economic, environmental, and social implications of implementing smart grid management systems

Smart grid energy systems are considered the future of electrical grid management and delivery. These technologies and programs are innovative ways to ensure a reliable electricity grid, promote renewable energy, increase efficiency, and enhance consumer control. Smart grids operate as automated or computerized systems that centralize electricity grid control and ultimately provide a more resilient […]

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Leveraging AI Techniques to Analyze Corporate Documentation for ESG Indicators

Significant demand exists by society for information about how companies are conducting themselves on matters of environmental stewardship, social responsibility, and good corporate governance (ESG). Typically, however, such information is hampered by significant inconsistencies in availability, which hinders access to reliable information. Our goal in this research project is to address these obstacles faced by […]

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The state of literacy in Nova Scotia: an interactive dashboard

The project aims to develop an interactive dashboard to accompany a report on the state of literacy in Nova Scotia to be produced by Literacy Nova Scotia (LNS), as a means of quickly communicating key information for policy decision-makers and internal stakeholders. Through a participatory design program, we will engage with internal and external stakeholders […]

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Development of a Strategy to Design and Optimize a Non-Licensed UHF Band System for Operations under Harsh Environment for Localization Applications

Two antennas will be designed at 915 MHz to be installed in a small cavity within the body of an equipment used for underground operations. The two antennas are expected to provide reasonable operating bandwidth and radiation efficiency to radiate through lossy polyurethane used for protection, metallic cavity surrounding the antennas, and the conductive equipment […]

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Automated Attack Hypothesis and Testflow Generation

In the field of cybersecurity, it is increasingly important to actively find and stop security threats, a process called threat hunting. The threat hunting is often performed manually, which is a tough process the requires deep knowledge, lots of experience, and time, which can lead to missed attacks and slow responses, affecting companies and countries. […]

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