Personal profile
ShortBio
Obtained my degree in Mathematics in 2013 from the Autonomous University of Barcelona (UAB) and a Master's degree in Computational Engineering and Intelligent Systems in 2015 from the University of the Basque Country (UPV/EHU). In 2016, I received a Global Training grant from the Basque Government that allowed me to work as a research technician at the PRALab at the University of Cagliari (Italy). In 2022 I obtained my PhD in artificial intelligence at the Basque Center for Applied Mathematics (BCAM), where I had the opportunity, among other things, to carry out an international stay in Rennes (France) for 3 months in 2020. I am currently working as a researcher in artificial intelligence at the Tecnalia research center, and my main interests include time series, supervised classification, meta-learning, and explainability.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy
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Collaborations and top research areas from the last five years
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A Self-Supervised Machine Learning Approach for the Estimation of Open-Circuit Voltage Degradation in Photovoltaic Systems
Riaño, S., Santos, J. D., Esteras, M., Abanda, A. & Del Ser, J., 2026, (Accepted/In press) In: Progress in Photovoltaics: Research and Applications.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure) -
A methodology for expert knowledge imbrication in mooring system design using Bayesian based optimization
Aristondo, A., Abanda, A., Esteras, M., Nava, V. & Penalba, M., 2025, Innovations in Renewable Energies Offshore - Proceedings of the 6th International Conference on Renewable Energies Offshore, RENEW 2024. Soares, C. G. & Wang, S. (eds.). CRC Press/Balkema, p. 361-367 7 p. (Innovations in Renewable Energies Offshore - Proceedings of the 6th International Conference on Renewable Energies Offshore, RENEW 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus) -
Combining physics-based and data-driven methods in metal stamping
Abanda, A., Arroyo, A., Boto, F. & Esteras, M., Apr 2025, In: Journal of Intelligent Manufacturing. 36, 4, p. 2583-2599 17 p.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
Reconstruction-Based Anomaly Detection in Wind Turbine Operation Time Series Using Generative Models
Abanda, A., Pujana, A. & Del Ser, J., 2024, Advances in Artificial Intelligence - 20th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2024, Proceedings. Alonso-Betanzos, A., Guijarro-Berdiñas, B., Bolón-Canedo, V., Hernández-Pereira, E., Fontenla-Romero, O., Rabuñal, J. R., Camacho, D., Ojeda-Aciego, M., Medina, J., Riquelme, J. C. & Troncoso, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 194-203 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14640 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Ad-hoc explanation for time series classification
Abanda, A., Mori, U. & Lozano, J. A., 27 Sept 2022, In: Knowledge-Based Systems. 252, 109366.Research output: Contribution to journal › Article › peer-review
8 Citations (Scopus)
Thesis
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Machin Learning-Time Series Classification
Abanda Elustondo, A. (Author), 2022Doctoral thesis: Doctoral Thesis