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Auburn University Subject Matter Experts


About AUSME
What is AUSME?

AUSME utilizes advanced semantic AI tools to identify researchers whose expertise matches specified keywords. By inputting these keywords, AUSME identifies researchers whose academic focus aligns closely with the designated areas of interest.

What are the AUSME Researcher Profiles?

AUSME creates detailed researcher profiles by analyzing a repository of over 100 papers per researcher sourced from Google Scholar. These profiles include comprehensive data such as paper titles, abstracts, authors, and citation metrics. Utilizing semantic analysis, the system extracts key keywords from these papers, providing a nuanced understanding of each researcher’s expertise based on their scholarly contributions.

How does AUSME Work?

Upon receiving a set of query keywords (e.g., 'machine learning', 'cybersecurity'), AUSME employs semantic algorithms to filter out researchers whose work is less relevant. By evaluating the semantic context of keywords within papers, it excludes those falling below a predefined relevance threshold. Subsequently, AUSME computes a weighted average score for all pertinent keywords, aggregating these scores to produce a comprehensive ranking for each researcher. This approach ensures AUSME delivers a curated list of top-ranked researchers whose expertise best aligns with the query keywords.


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