Muzakirruddin Ahmed Mohammed
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.
Researcher
Graduate Student Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Muzakirruddin Ahmed Mohammed's research focuses on the intersection of artificial intelligence, data governance, and knowledge management. He has published work on engineering queryable industrial product knowledge bases from technical documents, exploring the data, knowledge, and retrieval pipelines necessary for such systems. Additionally, his research addresses secure data governance architectures, specifically investigating a positive data control framework for Large Language Model (LLM)-mediated data governance.
Mohammed collaborates with researchers at the University of Arkansas at Little Rock, including Mert Can Çakmak, Shames Al Mandalawi, and John R. Talburt, with whom he has co-authored multiple publications. His scholarly output includes one publication as of 2026, indicating recent activity in his field.
Metrics
- Publications: 1
Selected Publications
-
Multilingual Customer Record Linkage: A Novel Approach Using LLMs for Cross-Lingual Entity Resolution (2026)
-
Engineering Queryable Industrial Product Knowledge Bases from Technical Documents: A Survey of Data, Knowledge, and Retrieval Pipelines (2026)
-
Positive Data Control: A Secure Architecture for LLM-Mediated Data Governance (2026)
Collaboration Network
Top Collaborators
- Positive Data Control: A Secure Architecture for LLM-Mediated Data Governance
- Positive Data Control: A Secure Architecture for LLM-Mediated Data Governance
- Positive Data Control: A Secure Architecture for LLM-Mediated Data Governance
- Engineering Queryable Industrial Product Knowledge Bases from Technical Documents: A Survey of Data, Knowledge, and Retrieval Pipelines
- Engineering Queryable Industrial Product Knowledge Bases from Technical Documents: A Survey of Data, Knowledge, and Retrieval Pipelines
Similar Researchers
Based on overlapping research topics