Organisation

Edurne Barrenechea Tartas (Pamplona, 1967) holds a second-cycle degree in Computer Science, specialising in Applications, from the University of the Basque Country (Gipuzkoa Campus, 1985-1990) and a PhD from the Public University of Navarre (2005).

She began her career in the IT Department (1990-2001) of KSB ITUR SA (Zarautz-Gipuzkoa), developing software applications for the company’s Sales, Financial and Production departments.

She joined the Public University of Navarre in 2001 as an Associate Professor and became Full University Professor in 2023. She works in the Computer Science and Artificial Intelligence area in the Department of Statistics, Computer Science and Mathematics. Edurne has mainly taught in the Computer Science Bachelor’s and Master’s degree programmes, in which she has focused on two distinct areas: modules on databases and project management; and artificial intelligence modules. She has supervised more than 50 End of Studies Projects and was rated as Excellent in the assessment conducted during her two latest periods of teaching.

She has formed part of the Artificial Intelligence and Approximate Reasoning Research Group (GIARA) since she joined the UPNA and the Institute of Smart Cities since its creation in 2014. Her lines of research chiefly centre on the theory of fuzzy sets, approximate reasoning, information fusion, classification, decision making and image processing. She has co-authored over 60 articles published in journals with impact factor (JCR), 20 book chapters and 70 conference papers (40 for international conferences). She has also co-edited 4 special volumes in JCR journals.

She has taken part in 21 publicly and privately funded research projects, and supervised 4 doctoral theses. She has sat on the Organising Committees of 4 international scientific conferences, 3 national scientific conferences and 10 special sessions. She has belonged to the Technical Committees set up for several international scientific conferences and has reviewed academic articles for scientific journals. She has also sat on the Editorial Boards of the journals "IEEE Transactions on Fuzzy Systems" and "Soft Computing", was on the Management Board of the European Society for Fuzzy Logic and Technology (EUSFLAT) from 2009 to 2015 and has been a member of the Spanish Association for Artificial Intelligence (AEPIA).

As for academic management, she was assistant director of the Computer Science degrees in the School of Industrial & ICT Engineering (ETSIIT) at the UPNA from 2011 to 2014 and secretary of the Department of Statistics, Computer Science and Mathematics from 2018 to 2019. She has also formed part of the Computer Science Accreditation Committee of the National Quality Assessment and Accreditation Agency of Spain’s National programme for university teaching staff admission since 2017.

Miguel Pagola Barrio
Tel: 948 16 8058
E-mail: area.digital@unavarra.es

Miguel Pagola (Caracas, 1976) graduated in Industrial Engineering and holds a PhD in Artificial Intelligence from the Public University of Navarre (2005).

His main lines of research address different applications of artificial intelligence, such as using deep learning techniques for image recognition, the application of machine learning to the predictive maintenance of wind turbines and the use of fuzzy sets and their extensions in approximate reasoning. He has published more than 30 papers in JCR-indexed journals, taken part in several research projects and supervised two PhD theses.

His experience in academic management includes being Deputy Head of the School of Industrial and ICT Engineering (ETSIIT), in which he was in charge of the Bachelor’s and Master’s degrees in Computer Science from 2015 to 2019.