Carlos D. Barranco

Carlos D. Barranco is a Professor at Universidad Pablo de Olavide, Spain, with over two decades of experience in Computational Intelligence, Fuzzy Logic, and Soft Computing. His work focuses on applying these techniques to Big Data, Flexible Querying, and Imperfect Information Management in databases. He teaches courses in Computer Science at both bachelor's and master's levels, including Advanced Programming, Big Data, and Data Analysis in Digital Humanities.

Research interests include:

• Fuzzy Database Systems: Developing indexing strategies for possibilistic and fuzzy numerical/temporal data to improve query efficiency in traditional RDBMS.
• Big Data Applications: Leveraging fuzzy logic in bioinformatics, energy consumption forecasting, and medical image retrieval.
• Interdisciplinary Work: Bridging computational methods with Digital Humanities (e.g., medieval charter databases) and Medical Imaging.

Collaborations span institutions across Spain and Europe, with publications in journals like Applied Soft Computing, International Journal of Intelligent Systems, and IEEE Transactions on Fuzzy Systems. His work has been presented at major conferences including IWBBIO, FUZZ-IEEE, and Flexible Query Answering Systems.

Contact: cdbargon@upo.es