Explore Lethbridge: Strategic Engagement of Tourists with Community Enterprises via App Technology

The “Explore Lethbridge” initiative aims to develop a Progressive Web App (PWA) that functions as an innovative platform for tourists to explore and interact with local businesses in Lethbridge. With an intuitive interface, the app will provide tourists with up-to-date information, offer incentives such as prizes, and feature interactive elements to highlight local attractions and […]

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Supply Chain Efficiency Enhancement through Digital Contract Management

??Judge and Associates currently face challenges in managing contracts efficiently within their real estate operations. The manual process of contract management using paper documents and spreadsheets is labor-intensive and prone to errors. There is a need for automation to streamline the contract lifecycle from creation to renewal while ensuring compliance and accuracy. This project aims […]

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Development of a generative adversarial neural network for synthetic data generation to enhance AI-based OCT image analysis.

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.

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From Data to Decisions: Developing a Prototype Dashboard for Real-Time Business Analytics

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 […]

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Climate-related Physical Risk Solution – Heat Islands & Flood

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.

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Climate-related Physical Risk Solution – Heat Islands & Flood #2

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.

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Leak detection technology

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, […]

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Comprehensive evaluation of data-driven mode decomposition techniques for the analysis of separating and reattaching flows

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 […]

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Integrating AI with 4D Flow MRI for Advanced Cardiovascular Diagnostics

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 […]

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Unveiling the Structure of Science: An Information-Theoretic Approach to Co-citation Analysis

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 […]

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Coal Derived Humic Products As Novel Adsorbents For Water Remediation

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 […]

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Computational Analysis of Main Group Complexes Containing Cyclopentadienyl-Carbene Ligands

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 […]

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