Adeeba Tarannum
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
Adeeba Tarannum's research focuses on the application of artificial intelligence and data analysis techniques to complex systems. Her work has explored the development of AI-powered multi-stakeholder ecosystems for global development, with a specific study on the GSI D-Hub Proof-of-Concept Platform. Tarannum has also investigated methods for improving entity resolution quality through cascade approaches and developed pattern-based methods for name and address parsing that incorporate active learning. Her research interests extend to graph-based methods for understanding group membership, as seen in her work on household discovery. Tarannum collaborates with researchers at the University of Arkansas at Little Rock, including John R. Talburt, Marla Johnson, and Eileen Devereux Dailey.
Metrics
- h-index: 1
- Publications: 3
- Citations: 1
Selected Publications
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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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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
- 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
- Household Discovery with Group Membership Graphs
- 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 Pattern-Based Approach to Name and Address Parsing with Active Learning
- 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
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