Area

Signal Theory and Communications

Short Bio

Inmaculada Mora received the Telecommunication Engineering degree from the Universidad Politécnica de Valencia, Valencia, Spain, in 1998, and the Ph.D. degree from the Universidad Carlos III de Madrid, Madrid, Spain, in 2004. She is currently an Associate Professor in the Department of Signal Theory and Communications, Universidad Rey Juan Carlos, Madrid. Her main research interests include statistical learning theory, neural networks, and their applications to image processing, bioengineering, and communications.

ResearchGate

Research lines

Machine learning, digital image processing, biomedical engineering, wireless communications.

Address

Office D214. Departamental III
Universidad Rey Juan carlos
Camino del Molino s/n.
Fuenlabrada, 28943, Madrid, Spain

Email

inmaculada.mora@urjc.es

Personal web

Selected publications

.Albiol, A., Mora, I., & Naranjo, V. (2001). Real-time high density people counter using morphological tools. IEEE Transactions on Intelligent Transportation Systems, 2(4), 204-218.

.Mora-Jiménez, I., & Cid-Sueiro, J. (2005). A universal learning rule that minimizes well-formed cost functions. IEEE transactions on neural networks, 16(4), 810-820.

.Soguero-Ruiz, C., Gimeno-Blanes, F. J., Mora-Jiménez, I., del Pilar Martínez-Ruiz, M., & Rojo-Álvarez, J. L. (2014). Statistical nonlinear analysis for reliable promotion decision-making. Digital Signal Processing, 33, 156-168.