Sushil Awale

Sushil Awale is a Research Associate at the Visual Analytics Research Group, TIB Hannover, Germany, and a PhD candidate at Leibniz Universität Hannover, supervised by Prof. Dr. Ralph Ewerth. His research focuses on Multimodal Information Retrieval, Question Answering, and Knowledge Graphs. Previously, he worked as a Student Assistant in the Language Technology Group at Universität Hamburg, developing NLP-driven scholarly systems.

• M.Sc. in Intelligent Adaptive Systems (2020–2023), Universität Hamburg
• B.Sc. in Computer Science (2015–2020), Tribhuwan University, Nepal

His research interests span patent domain analysis, multimodal systems, and language resources for under-resourced languages. Recent work includes visual patent search interfaces and large vision-language models for classification tasks.

Publications highlight contributions to scholarly knowledge graphs (e.g., DBLP-QuAD dataset) and AI-enhanced research advisory systems (ARDIAS). He also contributed to preprocessing Nepali language corpora and enriching Hindi WordNet via knowledge graph techniques.

Currently affiliated with TIB’s Visual Analytics Group, he actively organizes events like the Scholarly Question Answering over Linked Data workshop at ISWC 2023.