Aircraft Conflict Prediction using Machine Learning

The project entails exploring the use of Machine Learning (ML) techniques to assist in the training of air traffic controllers. The core goal is to train models that help predict if an instruction given by an air traffic controller may put an aircraft at risk of colliding with another aircraft during landing procedures.

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Mobilizing the health benefits of being in nature through community-based participatory research and Indigenous youth engagement

Spending time in natural environments and nature-based programming is associated with significant health benefits. These outcomes are particularly important for Indigenous youth, whose mental health and wellbeing continues to be a priority for healthcare in Nova Scotia (NS). There is a need for further research that includes NS youth perspectives and identifies their experiences, needs, […]

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Towards a Theory of Blockchain as a Socio-Informational-Technical System: Perceptions and challenges of adopting verifiable credentials in the public sector.

Blockchain technology and VCs, in principle, can enhance the security, privacy, efficiency, and trustworthiness of the digital exchange of credentials. However, several challenges hinder the adoption of VCs and blockchain, including resistance from the public and some authorities driven by a lack of understanding of the technologies and political motives. There is a limited empirical […]

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Joining lifestyle and cognitive assessment with Fit Brains Trainer data: Can Fit Brains brain fitness apps tell us what a “smarter” lifestyle look like?

Rosetta Stone Canada collects user demographic and performance data from Fit Brains Trainer (brain fitness training games), Cognitive Assessment, and Lifestyle Assessment mobile apps. Data from the three apps can be linked and analyzed to answer research questions such as how lifestyle factors can influence brain training habits and outcome. This internship will: 1. Statistically […]

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Investigation of thermal losses of various configurations of wet and Dry thermally insulated systems and with and without deployment of novel Mica Spacer system

In many industries, particularly those using steam to heat or move heavy oil, keeping pipes and equipment as hot as possible is very important. When heat escapes, it lowers the efficiency of the operation, raises costs, and increases the carbon footprint. Insulation is supposed to keep heat inside, but it does not always work well […]

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Nanostructured fibers for the fabrication of hierarchical thermoplastic composites

Flexpipe, the industrial sponsor, is recognized as a global leader in the production of fully organic reinforced thermoplastic pipelines (RTPs). Flexpipe is currently offering non-metallic, non-bonded spoolable fiber-reinforced thermoplastic composite linepipes with a maximum service rating of up to 82 °C and up to 1500 psi, for high-temperature fluid transportation, CO2 injection and other corrosive, […]

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L2M- Degradable membrane and styrofoam from forest waste

The project aims to make eco-friendly, degradable membranes and Styrofoam alternatives from forest and yard waste. This innovation aims to reduce plastic pollution and carbon footprints. It will reduce dependency on traditional, non-degradable materials with sustainable options. The technology will benefit the partner organization. It will provide a cutting-edge solution to meet new environmental regulations. […]

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L2M – Artificial intelligence based system to improve quality of life of sound sensitive individual on the autism spectrum

Individuals with autism spectrum disorder (ASD) often experience sound sensitivity, leading to distress, anxiety, and difficulties in daily life. The challenges for youth experiencing sound sensitivity can be both acute and downstream. This ongoing stress leads to avoidance behaviours, reduced social and community engagement, and distractions that impact performance at school or work and engagement […]

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Prototype for Critical Metals Liquid-Liquid Extraction

Hatch Ltd. is a global multidisciplinary consultancy company that provides engineering and business knowledge within the metals, energy and infrastructure sectors. The project proposes constructing a scaled-down, modular proof-of-concept prototype enabling extensive testing and validation studies for liquid-liquid extraction of critical minerals and metals. The design and construction of a custom-made mixer and settler unit […]

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Parallel intelligent multiple-run facility for optimal design of power systems

The research aims to develop a new computer algorithm for automating simulations of complex power systems when simulations are used for design. The new algorithm will be able to find multiple optimal solutions, which will give the designer the ability to scrutinize and select the most suited option. Additionally the algorithm will be parallel in […]

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L2M – Video based movement analysis

I am transforming the smartphone into a portable lab. The goal is to unlock a wealth of movement data that can be used for health and performance metrics. My business aims to democratize access to lab-quality movement data, making it accessible from the comfort of your home. This work will contribute to the overall field […]

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