The healthcare sector generates an enormous amount of sensitive data, ranging from patient medical records to billing information. The mishandling or unauthorized access to such data can lead to significant legal, financial, and ethical consequences. Despite increasing awareness of the importance of data security, healthcare institutions often still employ outdated or inadequate encryption methods, posing […]

This project aims to enhance the work with technical drawings in manufacturing is done by using advanced computer techniques to automatically identify and read text within these drawings. This means turning detailed plans and sketches into digital data quickly and accurately, without manual input. For the partner organization, this innovation promises to greatly speed up […]

This project makes it possible for Canadian researchers to share secure and traceable datasets between large computing systems in Canada. These traceable datasets can be used to further reproducible science by allowing everyone in the scientific community to know where the dataset used for experiments is from and that it has not been altered. Traceable […]

Computational electromagnetics (CEM) is a field of research devoted to simulating the complicated electromagnetic systems foundational in our technology, security, and exploration. Historically, problems have been solved by breaking them into many small pieces that can be solved by a computer; an approach that makes it difficult to solve very complicated problems. Today, a new […]

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This research project investigates the design of an all-digital transmitter that is suitable for low earth orbit satellite (LEO) networks. Important requirements for the satellite application include a transmit system that has a software reconfigurable hardware platform that is power efficient and can generate modulated output signals at the carrier frequency. The architecture also needs […]

This project develops and benchmarks novel offline training algorithms for AI navigation in gaming environments. As such, it is intended to be a self-contained project. Traditional video game navigation heavily relies on navigation meshes (navmeshes) for pathfinding. Navmeshes offer a simplified representation of complex environments but face limitations in portraying nuanced navigation abilities, such as […]

The First Nations Health Atlas aims to comprehensively analyze diverse administrative datasets from Alberta Health and Alberta Health Services to produce holistic analytics for First Nations health in the province. The initiative’s core objectives include establishing a comprehensive roster of First Nations individuals from Bigstone, Siksika, and Maskwacis nations, analyzing disease incidence and prevalence, scrutinizing […]

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Physical activity and dairy intake during growth and development are each known to improve peak bone mass. Peak bone mass, the maximum amount of bone a person will have in their lifetime, is typically reached in the early 20’s in females and late 20’s in males. However, evidence suggests that young people do not consume […]

This internship aims to implement an advanced system for automatic keyword extraction from textual web contents. Keyword extraction not only provides a concise and salient representation of a document, but also can be used in web-based applications such as efficient indexing, intelligent tag recommendation, and contextual advertising. In this research project, a hybrid keyword extraction […]

The project seeks to optimize the performance of a Language Model (LLM) specifically tailored for patent drafting. Through meticulous fine-tuning, our objective is to elevate the LLM’s capabilities, thereby enhancing the efficiency and precision in the generation of patent documents.