Carlos Badenes-Olmedo

Carlos Badenes-Olmedo is a Post-Doctoral Researcher at the Polytechnic University of Madrid’s Faculty of Informatics, part of the Ontology Engineering Group (OEG). He holds a Master’s in Artificial Intelligence (2015) and a Computer Science Engineering degree (2006) from the same institution. Previously, he worked in industry for 8+ years as a software architect specializing in real-time data and M2M communications. He collaborates with the TEDECO group on data mining using Call Detail Records (CDRs).

Research Focus: Ontology Engineering, Machine Learning, Information Retrieval, Exploratory Search, Recommender Systems, Multilingual Document Similarity, Public Procurement Analysis, and Clinical Data Mining (e.g., polypharmacy studies). His work includes developing cross-lingual search engines, knowledge graphs for public procurement (e.g., EU Contract Hub), and health-related ontologies (e.g., Drugs4Covid).

Key Projects: Led development of the Corpus Viewer platform for analyzing research documents, created the FarolApp for light pollution monitoring using Linked Data, and contributed to the librAIry framework for distributed text mining. Active in public procurement transparency initiatives and biomedical knowledge graph construction.

Skills: Natural Language Processing, Topic Modeling, REST APIs, Docker, Linked Data, and open-source tool development (e.g., TBFY Harvester). Collaborates internationally on EU-funded projects and publishes extensively in top venues like K-CAP, ISWC, and IEEE conferences.

Teaching: Delivers tutorials on hybrid NLP techniques, cross-lingual document exploration, and semantic search. Involves in educational experiments like LEGO® Serious Play in software engineering education.