Home > Ficha docente
Mikel Ferrero Jaurrieta holds a degree in Computer Engineering from the Public University of Navarra (2018), a degree in the Interuniversity Master in Mathematical Modeling and Research, Statistics and Computing from the Public University of Navarra, University of Zaragoza and University of the Basque Country (2020) and a PhD from the Public University of Navarra (2024) under the thesis entitled “Multivalued and non-symmetric operators for sequential information processing”.
During his career at the Public University of Navarra, he has held the positions of Associate Professor Type 2 (2022-2024), Substitute Professor (2024-2025) and currently, Assistant Professor, PhD (2025-) in the Department of Statistics, Computer Science and Mathematics (Area of knowledge of Computer Science and Artificial Intelligence) of the Public University of Navarra. He has taught the subjects of Knowledge Engineering and Computation (Degree in Computer Engineering), Databases I (Degree in Data Science, Double Degree in Data Science+ADE and Data Science+Biotechnology), Computer Science (Degree in Mechanical Engineering, Agricultural, Food and Rural Engineering (IAMR), Degree in Innovation on Food Processes and Products (IPPA) and Double Degree IAMR+IPPA) and Artificial Intelligence in Biomedical Engineering (Master's Degree in Biomedical Engineering).
He has professional experience in Tesicnor S.L., Hiberus Tecnología, Centro Nacional de Tecnología y Seguridad Alimentaria (CNTA), Universidad Pública de Navarra (Fondo Documental de Memoria Histórica) and Tracasa Instrumental.
He is a member of the Artificial Intelligence and Approximate Reasoning Research Group (GIARA) led by Humberto Bustince. He is a member of the European Society for Fuzzy Logic and Technology (EUSFLAT), Sociedad Científica Informática de España (SCIE) and Asociación Española para la Inteligencia Artificial (AEPIA). He received the second prize for the best paper presented by students at the International Conference on Fuzzy Set Theory and Applications (FSTA 2024) and is co-author of the paper that received the best paper award at the IEEE International Conference on Fuzzy Systems 2022 in the framework of the IEEE World Congress on Computational Intelligence. The main lines of research are sequential models, aggregation functions and fuzzy logic