CV
My complete CV is available here in English an in Spanish
Education
- Ph.D in Telecommunications and Information Technology, University of Vigo, (Oct 2020 - July 2024)
- M.S. in Cybersecurity, Carlos III University of Madrid, 2018
- B.S. in Computer Science, Carlos III University of Madrid, 2017
Work experience
January 2024 - July 2024: Associate Lecturer in the Statistics and O.R. Department (University of Vigo)
April 2022- Present: Technical Manager of Data Analytics and AI - Security and Privacy Department - GRADIANT
August 2021 - April 2022: Senior Researcher - Engineer - Security and Privacy Department - GRADIANT
March 2020 - August 2021: Researcher - Engineer - Security and Privacy Department - GRADIANT
October 2018 - March 2020: Software Engineer - Microsoft Canada Development Centre
Publications
Enhancing Privacy in Federated Learning: A Practical Assessment of Combined PETs in a Cross-Silo Setting
Loureiro-Acuña, J., Martínez-Luaña, X., Padín-Torrente, H., Jiménez-Balsa, G., García-Pagán, C., & Ortega-Fernandez, I. (2024). Enhancing Privacy in Federated Learning: A Practical Assessment of Combined PETs in a Cross-Silo Setting. Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security, 265–270. doi:10.1145/3658664.3659661
WhatTheFile, análisis forense basado en Inteligencia Artificial
Pintos, B., & Ortega-Fernandez, I. (2024). WhatTheFile, análisis forense basado en Inteligencia Artificial. In IX Jornadas Nacionales de Investigación En Ciberseguridad (pp. 600-605). Antonia M. Reina Quintero.
Development of a modular virtual Industrial Control System prototype for cybersecurity research
Carnero Ortega, D., Piñón Blanco, C., Pintos Castro, B., & Ortega Fernández, I. (2024). Development of a modular virtual Industrial Control System prototype for cybersecurity research. IX Jornadas Nacionales de Investigación En Ciberseguridad, 534-539.
neuralGAM: An R Package for fitting Generalized Additive Neural Networks
Ortega-Fernandez, I., & Sestelo, M. (2024). neuralGAM: An R Package for fitting Generalized Additive Neural Networks. Zenodo. https://doi.org/10.5281/zenodo.10998650
Explainable generalized additive neural networks with independent neural network training
Ortega-Fernandez, I., Sestelo, M. & Villanueva, N.M. Explainable generalized additive neural networks with independent neural network training. Stat Comput 34, 6 (2024). https://doi.org/10.1007/s11222-023-10320-5
Detecting Anomalies in Industrial Control Systems with LSTM Neural Networks and UEBA
C. Piñón-Blanco, F. Otero-Vázquez, I. Ortega-Fernandez and M. Sestelo, "Detecting Anomalies in Industrial Control Systems with LSTM Neural Networks and UEBA," 2023 JNIC Cybersecurity Conference (JNIC), Vigo, Spain, 2023, pp. 1-8, doi: 10.23919/JNIC58574.2023.10205609.
Detección de bots avanzados en comercio electrónico: un caso de uso real
Mauro Saavedra-Golán, Ines Ortega-Fernandez (2023, 22 de junio). Detección de bots avanzados en comercio electrónico: un caso de uso real. Jornadas Nacionales de Investigación en Ciberseguridad [Conferencia]. Vigo, España. ISBN 978-84-8158-970-2, págs. 229-235
Hexanonymity: a scalable geo-positioned data clustering algorithm for anonymisation purposes
J. Rodriguez-Viñas, I. Ortega-Fernandez and E. S. Martínez, "Hexanonymity: a scalable geo-positioned data clustering algorithm for anonymisation purposes," 2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), Delft, Netherlands, 2023, pp. 396-404, doi: 10.1109/EuroSPW59978.2023.00050.
Network intrusion detection system for DDoS attacks in ICS using deep autoencoders
Ortega-Fernandez, I., Sestelo, M., Burguillo, J.C. et al. Network intrusion detection system for DDoS attacks in ICS using deep autoencoders. Wireless Netw (2023). https://doi.org/10.1007/s11276-022-03214-3
A Review of Denial of Service Attack and Mitigation in the Smart Grid Using Reinforcement Learning
Ortega-Fernandez, Ines, and Francesco Liberati. 2023. "A Review of Denial of Service Attack and Mitigation in the Smart Grid Using Reinforcement Learning" Energies 16, no. 2: 635. https://www.mdpi.com/1996-1073/16/2/635
Large Scale Data Anonymisation for GDPR Compliance
Ortega-Fernandez, I., Martinez, S.E.K., Orellana, L.A. (2022). Large Scale Data Anonymisation for GDPR Compliance. In: Soldatos, J., Kyriazis, D. (eds) Big Data and Artificial Intelligence in Digital Finance. Springer, Cham. https://doi.org/10.1007/978-3-030-94590-9_19
How to implement EU data protection regulation for R&D in biometrics
[1] R. Sanchez-Reillo, I. Ortega-Fernandez, W. Ponce-Hernandez, and H. C. Quiros-Sandoval, “How to implement EU data protection regulation for R&D in biometrics,” Comput. Stand. Interfaces, vol. 61, 2019, doi: 10.1016/j.csi.2018.01.007.
How to implement EU data protection regulation for R&D on personal data
R. Sanchez-Reillo, I. Ortega-Fernandez, W. Ponce-Hernandez, and H. C. Quiros-Sandoval, “How to implement EU data protection regulation for R&D on personal data,” in Proceedings - International Carnahan Conference on Security Technology, 2017, vol. 2017-Octob, doi: 10.1109/CCST.2017.8167797.
R&D Projects
Software
Teaching
Talks
Detectando ciberataques y comportamientos anómalos mediante UEBA - Un caso de uso real en Abanca
Talk at XVI Jornadas STIC CCN-CERT | IV Jornadas de Ciberdefensa: ESPDEF-CERT, Madrid, Spain
Skills
- Large experience programming on Python, R, C, C++, Java
- Project management (Task and WP leader, project management).
- Funding acquisition. Experience preparing H2020 and Horizon Europe proposals.
- Knowledge of Git, Docker, Jenkins, CI/CD methodologies, Software design patterns, ELK stack, bash shell scripting
- SQL databases, data processing and management