In the development of AI-assisted imaging tools, Perimeter faces the challenge of enhancing the accuracy and efficiency of tumor margin assessments. This research investigates whether generative AI can be used to synthesize supplemental data, alongside automated data annotation techniques can drive measurable improvements in the performance of Perimeter’s AI tools.

This project aims to enhance the decision-making processes at Select People Solutions by upgrading their data reporting capabilities. Specifically, we plan to integrate data with Microsoft Power BI dashboards. By doing so, we will create dynamic dashboards that display important business metrics in real-time. These dashboards will help the company’s management quickly understand current trends […]

The project aims to develop an AI/ML model that forecasts future climate-related physical risks exposure, enabling the quantification of the financial impact of climate change. This initiative is part of a pilot project involving municipalities. The model will empower businesses, governments, and organizations to effectively build climate adaptation plans.

The project aims to develop an AI/ML model that forecasts future climate-related physical risks exposure, enabling the quantification of the financial impact of climate change. This initiative is part of a pilot project involving municipalities. The model will empower businesses, governments, and organizations to effectively build climate adaptation plans.

The partner organization, Sensyn, is addressing the pressing issue of pipeline leaks in Canada, driven by aging infrastructure. Incidents of leaks have surged in the last decade, leading to environmental harm and significant cleanup expenses. Conventional leak detection systems are struggling to cope, underscoring the urgent need for better solutions. Sensyn’s groundbreaking sensing cable technology, […]

This research project will systematically evaluate data-driven mode decomposition techniques (POD, Spectral POD (SPOD), finite impulse response SPOD (FIR-SPOD) and a machine-learning (ML) based nonlinear method) for separating and reattaching flows using existing experimental and numerical databases of a laminar boundary layer approaching an FFS. There will provide three significant results: (1) critical insight as […]

This project is dedicated to enhancing the safety and reliability of cardiovascular disease diagnosis through the innovative integration of Artificial Intelligence (AI) with 4D Flow MRI technology. By applying advanced machine learning algorithms, we aim to improve the precision and dependability of 4D Flow MRI analyses, ensuring more accurate assessments of complex heart blood flow […]

The project “Unveiling the Structure of Science: An Information-Theoretic Approach to Co-citation Analysis” aims to advance our understanding of the interconnected landscape of scientific research by applying principles of information theory to co-citation networks. By identifying significant intellectual linkages across disciplines, countries, and institutions, this research seeks to illuminate the underlying patterns and dynamics that […]

WestMET Group Canada operates four coal mines in Alberta. Humalite, naturally occurring from organic matter decomposition, is produced in large quantities during mining. Humic products from coal wastes may be more suitable than other sources due to high humic content, rawmaterial availability, low cost, application ease, and reduced coal waste accumulation and environmental impact. Westmoreland […]

The upcoming research internship will explore how a specific class of ligands incorporating cyclopentadienyl and carbene moieties can stabilize less common, low oxidation states of certain heavier elements like germanium, tin, antimony, and bismuth. This computational study aims to understand the unique bonding and reactivity patterns of these compounds. By simulating these reactions computationally, the […]

Representation and accountability are essential for the proper functioning of democracy. Through a close examination of Brazil since the 1990’s, this project investigates the conditions that make a country move toward stronger representation and accountability. Like many Latin American countries, Brazil was neither an institutionalized nor a representative democracy in the 1990s. Although the president […]

Communicating with peers online is an increasingly popular activity for children and teenagers, which has led to growing concerns about bullying and other forms of malicious behaviour in online chat rooms and virtual worlds. Although some online forums are patrolled by human moderators, the amount of text being generated is typically too large even for […]