Financial institutions gather vast amounts of data from our transactions. However, using this data directly can risk our privacy. A potential solution is generating “synthetic data”, which contains real data information without copying the original data. Generating this data, especially for bank transaction sequences, is challenging. During our research internship, we will use recent developments […]

Detecting financial fraud is complex. One important source of information is textual data, such as the text within reports, descriptions, or comments. Two different words may have similar meanings but vary differently in their characters and length. In this project, we evaluate how the meaning of a word may be used to improve financial fraud […]

The Fluvarium is a public environmental education center which works with communities in Newfoundland and Labrador to create awareness, educate, and facilitate innovation with regards to the natural environment. The organisation was established in 1985 with a focus on the protection and conservation of water resources, and since then, it has been engaged with local […]

The proposed research project is intended to develop a software solution (middleware) that will work in conjunction with a remote communication device (i.e. ability to communicate via satellite and/or cellular networks) to greatly reduce the cost and complexity of monitoring in-field sensors including wireless sensors and critical industrial equipment from a centrally located office environment. […]

The Vital Signs Research Project aims to understand how well communities in Nova Scotia are doing in different areas, like education, healthcare, jobs housing and the environment. We will gather information for the report from surveys, interviews, and online sources to create a report that shows the quality of life of people living in Nova […]

Transformer neural network models have achieved state of the art results in many areas of machine learning, including natural language processing (e.g. BERT, GPT-3) and computer vision (e.g. ViT, SAM). However, to achieve these results currently requires extremely large training datasets which are not available in every domain. One such domain is medical imaging, in […]

New and improved approaches to stakeholder outreach and impact analysis, inclusive of new and/or improved social media platforms, press releases, etc. Marketing research and preliminary opportunity assessment for inshore species development.

The EasyPack machine is designed to process the weighing and packaging of large crops such as potatoes, onions, turnips, and carrots for medium to small-scale farming operations, in order to overcome challenges caused by labor shortages. This solution is capable of weighing and packing potatoes into a variety of bags with capacities ranging from 20-50 […]

Since the mid-nineteenth century, technology has advanced at an exponential rate due to the large demand for computing power and performance. We are presently at a critical point where the switch from classical to quantum computing is required, however, the technology is still in its infancy. Unlike classical computers, which control information flow through bits […]

The proposed research project aims to develop a method for estimating sound speed profiles in underwater environments. By utilizing pulse-echo acoustic techniques, we can accurately determine the sound speed, which is crucial for various applications such as ocean acoustic studies. The expected benefits to our partner organization include improved underwater acoustic measurements, enhanced mapping of […]

Drilling deep holes into the earth’s crust is required to extract natural resources such as crude oil and has also been utilized in the geothermal energy industry to extract heat. Drilling these wells is carried out using long slender pipes, and due to the destructive nature of the drilling operation, these pipes undergo torsional, lateral, […]

Stroke is a leading cause of adult disability. Stroke results in neural damage to the brain and subsequent physical, cognitive, and affective impairments. Motor impairment after stroke is common and affects around 80% of patients. A primary concern immediately after stroke for patients, their relatives, and their caregivers is the prospect of recovery in the […]