Adeeba Tarannum
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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Also affiliated: University of Arkansas System (2026)
Research Areas
Biography and Research Information
OverviewAI-generated summary
Adeeba Tarannum's research focuses on the application of artificial intelligence, particularly large language models (LLMs), to address challenges in data governance, knowledge extraction, and multi-stakeholder ecosystems. Her work investigates methods for privacy-preserving structured knowledge extraction from census-style records and explores coordinated multi-agent architectures for automated data governance. Tarannum also studies AI-powered multi-stakeholder ecosystems designed for global development, including a proof-of-concept platform for the GSI D-Hub. Her research further extends to developing systems for name and address parsing using LLMs and improving entity resolution through cascade approaches and active learning. She has co-authored publications with collaborators from the University of Arkansas at Little Rock, including John R. Talburt, Marla Johnson, Eileen Devereux Dailey, and Onais Mohammed.
Metrics
- h-index: 1
- Publications: 7
- Citations: 2
Selected Publications
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A Coordinated Multi-agent Architecture for Automated Data Governance Using Large Language Models (2026)
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AI-Powered Multi-Stakeholder Ecosystems for Global Development: A Design Research Study on the GSI D-Hub Proof-of-Concept Platform (2026)arXiv (Cornell University) OpenAlex
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AI-Powered Multi-stakeholder Ecosystems for Global Development: A Design Research Study on the GSI D-Hub Proof-of-Concept Platform (2026)
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A System for Name and Address Parsing with Large Language Models (2026)
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Improving Quality of Entity Resolution Using a Cascade Approach (2025)
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A Pattern-Based Approach to Name and Address Parsing with Active Learning (2025)
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Household Discovery with Group Membership Graphs (2024)
Collaboration Network
Top Collaborators
- Household Discovery with Group Membership Graphs
- A Pattern-Based Approach to Name and Address Parsing with Active Learning
- Improving Quality of Entity Resolution Using a Cascade Approach
- AI-Powered Multi-stakeholder Ecosystems for Global Development: A Design Research Study on the GSI D-Hub Proof-of-Concept Platform
- AI-Powered Multi-Stakeholder Ecosystems for Global Development: A Design Research Study on the GSI D-Hub Proof-of-Concept Platform
- Household Discovery with Group Membership Graphs
- A Pattern-Based Approach to Name and Address Parsing with Active Learning
- Improving Quality of Entity Resolution Using a Cascade Approach
- AI-Powered Multi-stakeholder Ecosystems for Global Development: A Design Research Study on the GSI D-Hub Proof-of-Concept Platform
- AI-Powered Multi-Stakeholder Ecosystems for Global Development: A Design Research Study on the GSI D-Hub Proof-of-Concept Platform
- A Coordinated Multi-agent Architecture for Automated Data Governance Using Large Language Models
- Household Discovery with Group Membership Graphs
- A Pattern-Based Approach to Name and Address Parsing with Active Learning
- A System for Name and Address Parsing with Large Language Models
- A Coordinated Multi-agent Architecture for Automated Data Governance Using Large Language Models
- AI-Powered Multi-stakeholder Ecosystems for Global Development: A Design Research Study on the GSI D-Hub Proof-of-Concept Platform
- AI-Powered Multi-Stakeholder Ecosystems for Global Development: A Design Research Study on the GSI D-Hub Proof-of-Concept Platform
- AI-Powered Multi-stakeholder Ecosystems for Global Development: A Design Research Study on the GSI D-Hub Proof-of-Concept Platform
- AI-Powered Multi-Stakeholder Ecosystems for Global Development: A Design Research Study on the GSI D-Hub Proof-of-Concept Platform
- Household Discovery with Group Membership Graphs
- A Pattern-Based Approach to Name and Address Parsing with Active Learning
- A Pattern-Based Approach to Name and Address Parsing with Active Learning
- A Pattern-Based Approach to Name and Address Parsing with Active Learning
- A System for Name and Address Parsing with Large Language Models
- A System for Name and Address Parsing with Large Language Models
- A System for Name and Address Parsing with Large Language Models
- AI-Powered Multi-stakeholder Ecosystems for Global Development: A Design Research Study on the GSI D-Hub Proof-of-Concept Platform
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