Area: Computer Architecture and Technology

Research group: Ingeniería Computacional Aplicada


Personal web:

Doctor by the Universidad de Granada with the thesis Scatter Search para el registrado de imágenes 3D: aplicación en antropología forense 2006. Supervised by Dr. Óscar Cordón García, Dr. Sergio Damas Arroyo.

He holds a PhD in Computer Science and his research interest is mainly focused on Computer Vision, High Performance Computing, and Deep Learning. He has dedicated more than two decades to teaching and research on the above topics. He has held different positions as researcher and teaching staff at the universities of Cádiz, Granada, and Jaén. He is Associate Professor at the department of Computer science of the University of Jaén (Spain), and he is in charge of the "Applied Computational Engineering" research group. He has successfully supervised several master degree and PhD students. Moreover, he has participated as principal researcher and team member in several research projects funded at regional, national and European level (e.g. FP7 Programme). In the last two decades, he has published more than 70 scientific contributions, with more than fourty papers being published by international journals indexed in the JCR database, most of them ranked first quartile (Q1). According to the Scopus platform, his scientific production has accumulated more than 2000 citations (H-index = 20, April 2023) and several of his contributions are considered highly cited papers with more than 1K citations in some cases. He is co-inventor of a patent with international coverage (US20120182294A1) and he has been recognized with awards such as the International Fuzzy Systems Association (IFSA) Award for Outstanding Applications of Fuzzy Technology. Additionally, he actively performs professional tasks as reviewer, guest editor, and editorial board member for several international journals (e.g. Computer Methods and Programs in Biomedicine, ISSN 0169-2607) of world-leading providers of scientific information (e.g. IEEE, Nature, and Elsevier).