Carlos David Barranco González

Carlos David Barranco González is a Professor at Universidad Pablo de Olavide in Seville, Spain. He is affiliated with the Department of Sports and Information Technology, working within the School of Engineering. His primary research group is DATAi (Intelligent Data Analysis), and he previously was part of the DASE (Data Analytics Science & Engineering) research group. He contributes to PhD programs in Engineering, Data Science, and Bioinformatics.

• Department: Sports and Information Technology
• Research Groups: DATAi Intelligent Data Analysis, formerly DASE Data Analytics Science & Engineering
• PAIDI Areas: Information and Communication Technologies

Dr. Barranco's research focuses on database systems with a specialization in fuzzy logic applications. His work centers on developing efficient indexing techniques for fuzzy and possibilistic data, particularly using B+ tree structures to optimize query performance in fuzzy relational database management systems. His research bridges theoretical database concepts with practical implementation challenges in handling uncertain and imprecise information.

His publication history shows a consistent research trajectory since 2008, with his most recent work in 2021 focusing on interval B+ trees for possibilistic numerical data. His research consistently addresses the challenge of implementing fuzzy query processing using traditional database indexing techniques, demonstrating how classical RDBMS structures can be adapted for fuzzy data handling. His work has primarily appeared in top-tier fuzzy systems journals like Fuzzy Sets and Systems.

Throughout his career, Dr. Barranco has maintained strong collaborative relationships, particularly with Juan Miguel Medina Rodríguez (his PhD supervisor), Jesús Roque Campaña, and international collaborators like Guy De Tré and Robin de Mol. His research has been cited multiple times, indicating its relevance to the database and fuzzy systems communities.

As an academic advisor, he supervises doctoral research within the Engineering, Data Science, and Bioinformatics PhD programs at Universidad Pablo de Olavide. His expertise in fuzzy database systems provides valuable guidance for students working on advanced database technologies and information retrieval systems.