Ratan Sebastian

Ratan Sebastian is a Researcher at the Technische Informationsbibliothek (TIB), working within the Visual Analytics research group. He holds a position as a scientific Assistant and focuses on domain-specific information retrieval, particularly for educational contexts.

His research interests include:

• Educational search for K-12 teachers
• Metadata quality and enrichment
• Natural language processing
• Entity linking methods
• Learning analytics
• Historical document analysis

Ratan's recent publications demonstrate a strong focus on applying AI and information retrieval techniques to educational contexts. His work examines how teachers search for and use educational resources, with particular attention to metadata quality and how AI can augment the search process. He has also conducted research on learning analytics using Universal Design for Learning frameworks and has applied natural language processing techniques to historical archives, particularly focusing on refugee policies from the 1970s.

His scientific contributions include publications in venues such as the International Conference on Artificial Intelligence in Education (AIED), the International Conference on Theory and Practice of Digital Libraries (TPDL), and the Conference on User Modeling, Adaptation and Personalization (UMAP).