XX Conference of the Spanish Association for Artificial Intelligence
Abstract
The Conference of the Spanish Association of Artificial Intelligence (CAEPIA) is a biennial forum open to researchers from all over the world to present and discuss their latest scientific and technological advances in Artificial Intelligence (A.I.). Authors are kindly requested to submit unpublished original papers describing relevant research on A.I. issues from all points of view: formal, methodological, technical, or applied..
The Conference of the Spanish Association of Artificial Intelligence (CAEPIA) is a biennial forum open to researchers from all over the world to present and discuss their latest scientific and technological advances in Artificial Intelligence (A.I.). Authors are kindly requested to submit unpublished original papers describing relevant research on A.I. issues from all points of view: formal, methodological, technical, or applied.
Within CAEPIA, the Doctoral Consortium is organized, a forum for doctoral students to interact with other researchers by discussing their thesis project. We encourage students to participate!
CAEPIA does its best to endorse quality by giving special publicity to works that have been highlighted by the reviewers. For this, there will be several awards in all the events we organize, so that the works and researchers (emerging or consolidated ones) can transmit to the rest of the participants their special effort in making an impact investigation. These awards will be granted according to purely scientific criteria, and will consist of an accrediting diploma plus an economic bonus that may vary according to the event in question.
With the aim of highlighting the practical importance of A.I., a new edition of the competition on mobile Apps with A.I. techniques is being held as well as a video competition: it is a unique opportunity to have a greater impact for your research!
Nicolás Rodríguez Uribe
Phd in Artificial Intelligence
Nicolás Rodríguez Uribe graduated with a degree in Computer Engineering from Universidad Rey Juan Carlos in 2015. Subsequently, he completed a Master’s Degree in Decision Systems Engineering in 2018 and obtained his Doctorate in Artificial Intelligence from the same university in 2022. His main research interests focus on heuristics and metaheuristics, combinatorial optimization, trajectory algorithms, genetic algorithms, and multi-objective problems. He is a member of the high-performance research group in optimization algorithms (GRAFO) at Universidad Rey Juan Carlos. Most of his publications deal with the development of heuristic and metaheuristic procedures to solve complex optimization problems.