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.

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.

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.