Stable
KNUST Research Atlas
An AI-powered map of KNUST research expertise, publications, and collaboration networks.
Problem
Research activity at KNUST Computer Science is fragmented across staff pages, journals, and external platforms, making it difficult for students, collaborators, and leadership to understand who is working on what and where expertise truly lies.
Approach
Aggregating institutional staff data with global publication metadata and applying structured analysis to build a unified, searchable research knowledge graph focused on discovery, collaboration, and strategic insight.
Status
Project Outputs
Research Knowledge Graph
Structured mapping of researchers, publications, and collaborations
AI-Powered Discovery Interface
Search and match researchers by interests, topics, and research goals
Collaboration & Capability Maps
Visual insight into research clusters and collaboration patterns
Institutional Intelligence Reports
Data-driven analysis of departmental research capacity and strengths