Personal profile
ShortBio
Idoia Gamiz Ugarte holds a PhD in Mobile Network Information and Communication Technologies (2025), with a distinction in industrial doctorate. She also holds a Master’s degree in Mathematical Modelling, Research, Statistics, and Computing (2021) and a Bachelor's degree in Mathematics (2020), all awarded by the University of the Basque Country (EHU). She is part of the research team of Core Cybersecurity & DLTs within the DIGITAL unit at the TECNALIA research center. Her main research areas include cybersecurity, advanced cryptography, secure data exploitation, and federated learning. She participates in several projects, including TRUSTEE, APRENDE, and COMPASS-NMD, among others. She also has experience teaching the course “Algorithms and Advanced Cryptographic Techniques” in the Master's program on Cybersecurity in Industry 4.0 offered by EHU.
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 9 Industry, Innovation, and Infrastructure
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Collaborations and top research areas from the last five years
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Challenges and future research directions in secure multi-party computation for resource-constrained devices and large-scale computations
Gamiz, I., Regueiro, C., Lage, O., Jacob, E. & Astorga, J., Feb 2025, In: International Journal of Information Security. 24, 1, 27.Research output: Contribution to journal › Article › peer-review
Open AccessFile12 Citations (Scopus)1 Downloads (Pure) -
PRoT-FL: A privacy-preserving and robust Training Manager for Federated Learning
Gamiz, I., Regueiro, C., Jacob, E., Lage, O. & Higuero, M., Jan 2025, In: Information Processing and Management. 62, 1, 103929.Research output: Contribution to journal › Article › peer-review
Open AccessFile11 Citations (Scopus)45 Downloads (Pure) -
Blockchain-Based Random Selection Among a Private Number of Candidates
Gamiz, I., Regueiro, C., Jacob, E., Lage, O. & Unzilla, J., 2024, International Joint Conferences - 17th International Conference on Computational Intelligence in Security for Information Systems CISIS 2024 and 15th International Conference on European Transnational Education ICEUTE 2024. Quintián, H., Jove, E., Corchado, E., Troncoso Lora, A., Martínez Álvarez, F., Pérez García, H., Calvo Rolle, J. L., Martínez de Pisón, F. J., García Bringas, P., Herrero Cosío, Á. & Fosci, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-14 12 p. (Lecture Notes in Networks and Systems; vol. 957 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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SECURE MULTIPARTY COMPUTATION FOR PREDICTIVE MAINTENANCE: VALIDATION OF SCALE-MAMBA IN TERMS OF ACCURACY AND EFFICIENCY
Gamiz-Ugarte, I., Lage-Serrano, O., Legarreta-Solaguren, L., Regueiro-Senderos, C., Jacob-Taquet, E. & Seco-Aguirre, I., Nov 2022, In: Dyna (Spain). 97, 6, p. 613-619 7 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile15 Downloads (Pure)
Thesis
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Aprendizaje Federado con PRoT-FL: Privacidad, Robustez y Confiabilidad en el Entrenamiento de Modelos de Inteligencia Artificial
Gamiz Ugarte, I. (Author), Jacob Tuquet (Supervisor) & Regueiro Senderos (Supervisor), 2025Doctoral thesis: Doctoral Thesis