Match tier
Likely match
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-10-01
R
Rezwana Nasreen Meghla
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
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1 pubs
Research Areas
Biography and Research Information
OverviewAI-generated summary
Rezwana Nasreen Meghla's research focuses on artificial intelligence applications for fraud detection. Her recent work, published in 2026, introduces a semantic and behavioral AI framework designed to identify invoice fraud within automated accounts payable systems. This approach leverages AI to analyze both the content and the patterns of behavior associated with financial transactions.
Metrics
- Publications: 1
Selected Publications
-
A semantic and behavioral AI framework for detecting invoice fraud in automated accounts payable (2026)
Collaboration Network
Top Collaborators
Ishrak Alim
University of New Haven (US)
1 shared publication
- A semantic and behavioral AI framework for detecting invoice fraud in automated accounts payable
Tasnia Farzana Matin
Montclair State University (US)
1 shared publication
- A semantic and behavioral AI framework for detecting invoice fraud in automated accounts payable
Takib Md Masudul Hasan Prodhan
1 shared publication
- A semantic and behavioral AI framework for detecting invoice fraud in automated accounts payable
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