معرفی
Habib Ullah is an active researcher in computer science with a focus on artificial intelligence, machine learning, and knowledge graph technologies. His recent work explores applications of large language models for scientific knowledge organization, systematic literature reviews, and scholarly question-answering systems.
Research interests include:
- Deep learning and semi-supervised learning for computer vision tasks
- Zero-shot learning methodologies
- Scientific knowledge graph construction
- FAIR data principles implementation
- Ontology development for research domains
Notable article trends demonstrate expertise in:
- Advancing LLM capabilities for academic text processing
- Developing hybrid question-answering datasets (Hybrid-SQuAD)
- Creating reputation systems for scientific contributions
- Improving research data management workflows
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