Researcher at the University of Valladolid, specialized in Privacy Engineering. I studied the Double Degree in Computer Science and Statistics (INDat), obtaining two degrees, one in Statistics and the other in Computer Engineering, both in 2023 by the University of Valladolid. I was awarded with the Extraordinary End of Degree Award in both degrees. I have presented research at Cybersecurity and Privacy conferences in Spain, such as JNIC 2024 and RECSI 2024, and I have been the recipient of competitive grants, including the Collaboration Grant to perform research tasks in university departments awarded by the Ministry of Education, Vocational Training and Sports in the 2022-2023 academic year, and the Banco Santander Grant for Master’s students in 2024. I have a B2 level of English.
Currently, I am a researcher in the Strategic Cybersecurity Project “App-PI (App Privacy Impact)”, funded by INCIBE with PRTR and NextGen EU funds, where I focus my work on Privacy and Security research in mobile applications. In addition, I collaborate in training and outreach activities in Cybersecurity and Privacy, giving workshops for users and developers in the framework of the App-PI project.
Publications
Año 2024
Pérez-Fuente, Alejandro; Martínez-González, M. Mercedes; Aparicio, Amador and Moro, Quiliano Isaac. Un Data Warehouse para el Estudio de la Privacidad y Seguridad de Aplicaciones Móviles. Actas de las IX Jornadas Nacionales de Investigación en Ciberseguridad, JNIC 2024, Sevilla, 27 a 29 de mayo de 2024, Antonia M. Reina Quintero, Rafael Ceballos Guerrero, Ángel J. Varela Vaca (eds.), pp. 624-631. ISBN 978-84-09-62140-8 https://idus.us.es/items/508e612b-3df5-458a-98be-2d5f7c3fb7d2
Martínez-González, M. Mercedes; Aparicio, Amador; Pérez-Fuente, Alejandro; Criado, Pablo Abel; Gonzalo Tasis, Margarita and Moro, Quiliano Isaac. Marco para una autoprotección eficaz de la privacidad en entornos móviles. XVIII Reunión Española de Criptología y Seguridad de la Información, RECSI 2024. León, 23-25 de octubre de 2024. https://buleria.unileon.es/handle/10612/24657
Martínez-González, M. Mercedes; Pérez-Fuente, Alejandro; Aparicio, Amador; Criado Lozano, Pablo. (2024). Using the Metadata-Based App-PI Ecosystem to Assess the Privacy Impact of Health Apps. 10.1007/978-3-031-77571-0_50. Using the metadata-based App-PI ecosystem to assess the privacy impact of Health apps. 16th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2024. November 27th to November 29th, 2024 – Ulster University – Belfast (Northern Ireland, United Kingdom). https://link.springer.com/chapter/10.1007/978-3-031-77571-0_50