Carlos Badenes-Olmedo

Universidad Politécnica de Madrid

Assistant Professor


Carlos Badenes-Olmedo is an Assistant Professor in the Universidad Politécnica de Madrid, and researcher in the Ontology Engineering Group (OEG) focused on facilitating the extraction of knowledge through semantic technologies from documents. He is co-founder of a spin-off company,, that provides AI services based on natural language processing and knowledge management technologies. His PhD analyzed text similarity on a large scale drawing on his previous experience as a software engineer in real-time massive event processing systems in M2M environments. Carlos is certified as a ‘Scrum Manager Professional’ for agile software project management and has received various awards, such as the DAAD award for Postdoc Funding and Research Opportunities in AI, the scholarship Margarita Salas 2021 and the recognition of the Margarita Salas Research awards in 2022.

Talks and Events

DRUGS4COVID: Knowledge Graph about Drugs Used in the Clinical Control of the Coronavirus

Drugs4Covid is based on the preliminary work of 15 people from the Ontological Engineering Group of the Universidad Politécnica de Madrid (OEG-UPM) in two hackathons organized by the Community of Madrid and the European Commission (‘Vence al Virus’ and ‘EUvsVirus’). During the peak of the pandemic, the Madrid Health Service and some hospital pharmacies expressed drug shortages and the need to find available substitutes in their pharmacies. In addition, pharmaceutical companies needed to know the active ingredients used in clinical trials in order to be able to supply and manufacture different dosage forms of them in case of success. To meet these challenges, we had repositories of scientific documentation related to the coronavirus thanks to the fact that in March 2020 the White House Office of Science and Technology Policy called on the AI community to develop techniques and resources that could solve scientific questions about the COVID-19 from scientific texts.

Track: NLP

Session Topics:

  • Entity Resolution
  • Ontologies
  • Semantic Layer
  • Natural Language Processing and Understanding
  • Content Knowledge Graphs
  • Clinical Data