Experiencia:
(2018-2020) Investigador No Doctor, Universidad Politécnica de Madrid, Departamento de Ingeniería Electrónica.
Habilidades:
Lenguajes de Programación: Python, C, MATLAB, R, Java, JavaScript, VHDL.
Experiencia con Sistemas Operativos Unix y Linux.
Experiencia con librerías de Data Science (Tensorflow, Pandas, Numpy, Scikit-Learn...).
Experiencia con sistemas IoT (Raspberry Pi, Arduino, MQTT).
Experiencia con bases de datos SQL y NoSQL.
Srum y métodos ágiles de desarrollo.
Idiomas: Español (nativo) e Inglés (B2-C1).
Intereses de investigación actuales:
Juegos Serios, Machine Learning, Deep Learning, Synthetic Data, Generative Adversarial Networks, Ciencia de Datos, Inteligencia Artificial Aplicada.
A. Baños Ramos, M. Reneses, J. Pérez, G. Valverde, E. Awad, G. López, M. Castro, "Enhancing social science research on cyberbullying through human machine collaboration", Scientific Reports, Vol. 15, pp. 32954, 2025. [Online: Septiembre 2025] doi: 10.1038/s41598-025-16149-4
JCR-JIF: 4,900 Q1 (2025); - SJR: 0,893 Q1 (2025); J. Pérez, M. Castro, E. Awad, G. López, "Generation of probabilistic synthetic data for serious games: a case study on cyberbullying", Knowledge-Based Systems, Vol. 286, pp. 111440, Febrero 2024. [Online: Enero 2024] doi: 10.1016/j.knosys.2024.111440
JCR-JIF: 7,600 Q1 (2024); 8,000 Q1 (2025) - SJR: 1,934 Q1 (2024); 1,753 Q1 (2025) C. Valero, J. Pérez, S. Solera-Cotanilla, M. Vega-Barbas, G. Suárez, M. Álvarez-Campana, G. López, "Analysis of security and data control in smart personal assistants from the user’s perspective", Future Generation Computer Systems, Vol. 144, pp. 12 - 23, Julio 2023. [Online: Febrero 2023] doi: 10.1016/j.future.2023.02.009
JCR-JIF: 6,200 Q1 (2023); 5,900 Q1 (2025) - SJR: 1,946 Q1 (2023); 1,484 Q1 (2025) J. Pérez, M. Castro, G. López, "Serious games and AI: challenges and opportunities for computational social science", IEEE Access, Vol. 11, pp. 62051 - 62061, 2023. [Online: Junio 2023] doi: 10.1109/ACCESS.2023.3286695
JCR-JIF: 3,400 Q2 (2023); 4,200 Q2 (2025) - SJR: 0,960 Q1 (2023); 0,884 Q1 (2025) J. Pérez, P. Arroba, J.M. Moya, "Data augmentation through multivariate scenario forecasting in data centers using generative adversarial networks", Applied Intelligence, Vol. 53, nº. 2, pp. 1469 - 1486, Enero 2023. [Online: Abril 2022] doi: 10.1007/s10489-022-03557-6
JCR-JIF: 3,400 Q2 (2023); 3,500 Q2 (2025) - SJR: 1,193 Q2 (2023); 0,889 Q2 (2025) A. Baños Ramos, M. Reneses, J. Pérez, G. Valverde, E. Awad, G. López, M. Castro, "Enhancing social science research on cyberbullying through human machine collaboration", Scientific Reports, Vol. 15, pp. 32954, 2025. [Online: Septiembre 2025] doi: 10.1038/s41598-025-16149-4
JCR-JIF: 4,900 Q1 (2025); - SJR: 0,893 Q1 (2025); J. Fúster de la Fuente, S. Solera-Cotanilla, J. Pérez, M. Vega-Barbas, R. Palacios, M. Álvarez-Campana, G. López, "Analysis of security and privacy issues in wearables for minors", Wireless Networks, Vol. 30, nº. 6, pp. 5437 - 5453, Agosto 2024. [Online: Marzo 2023] doi: 10.1007/s11276-022-03211-6
JCR-JIF: 2,100 Q3 (2024); 2,500 Q3 (2025) - SJR: 0,571 Q2 (2024); 0,529 Q2 (2025) J. Pérez, M. Castro, E. Awad, G. López, "Generation of probabilistic synthetic data for serious games: a case study on cyberbullying", Knowledge-Based Systems, Vol. 286, pp. 111440, Febrero 2024. [Online: Enero 2024] doi: 10.1016/j.knosys.2024.111440
JCR-JIF: 7,600 Q1 (2024); 8,000 Q1 (2025) - SJR: 1,934 Q1 (2024); 1,753 Q1 (2025) J. Pérez, M. Castro, G. López, "Serious games and AI: challenges and opportunities for computational social science", IEEE Access, Vol. 11, pp. 62051 - 62061, 2023. [Online: Junio 2023] doi: 10.1109/ACCESS.2023.3286695
JCR-JIF: 3,400 Q2 (2023); 4,200 Q2 (2025) - SJR: 0,960 Q1 (2023); 0,884 Q1 (2025) C. Valero, J. Pérez, S. Solera-Cotanilla, M. Vega-Barbas, G. Suárez, M. Álvarez-Campana, G. López, "Analysis of security and data control in smart personal assistants from the user’s perspective", Future Generation Computer Systems, Vol. 144, pp. 12 - 23, Julio 2023. [Online: Febrero 2023] doi: 10.1016/j.future.2023.02.009
JCR-JIF: 6,200 Q1 (2023); 5,900 Q1 (2025) - SJR: 1,946 Q1 (2023); 1,484 Q1 (2025) J. Pérez, P. Arroba, J.M. Moya, "Data augmentation through multivariate scenario forecasting in data centers using generative adversarial networks", Applied Intelligence, Vol. 53, nº. 2, pp. 1469 - 1486, Enero 2023. [Online: Abril 2022] doi: 10.1007/s10489-022-03557-6
JCR-JIF: 3,400 Q2 (2023); 3,500 Q2 (2025) - SJR: 1,193 Q2 (2023); 0,889 Q2 (2025) S. Solera-Cotanilla, M. Vega-Barbas, J. Pérez, G. López, J. Matanza, M. Álvarez-Campana, "Security and privacy analysis of youth-oriented connected devices", Sensors, Vol. 22, nº. 11, pp. 3967, Junio 2022. [Online: Mayo 2022] doi: 10.3390/s22113967
JCR-JIF: 3,900 Q2 (2022); 4,000 Q2 (2025) - SJR: 0,764 Q1 (2022); 0,802 Q1 (2025) 
