Julián Arenas Guerrero

Julián Arenas Guerrero is an Assistant Professor at the Faculty of Computer Science, Universidad Politécnica de Madrid (UPM). He is affiliated with the Ontology Engineering Group (OEG) and participates in the ENTENTE project. His research focuses on Knowledge Graphs, Data Integration, and Semantic Web technologies, with contributions to RML-star mappings, virtual knowledge graph architectures, and scalable knowledge graph materialization frameworks like Morph-KGC.

Educational background includes a Computer Science Engineering degree from Universidad Complutense de Madrid (2019) and a Master's in Artificial Intelligence from UPM (2020). Prior to academia, he worked as a Data Scientist at GMV Innovating Solutions.

Research interests emphasize declarative data mapping, semantic data integration, and RDF-star technologies. His work addresses challenges in heterogeneous data transformation, ontology-driven systems, and federated query processing. Recent contributions include benchmarks for OBDA systems (LUBM4OBDA) and high-level ontology networks for ICT infrastructures.

Publications span 2020-2025 with a focus on advancing semantic web methodologies. No scientific awards explicitly mentioned, but active in international research collaborations through OEG.