María Carmen Cámara Núñez
Professor María Carmen Cámara Núñez
Carmen Cámara is an Associate Professor in the Department of Computer Science at
Universidad Carlos III de Madrid (UC3M). She holds a degree in Computer Engineering from
UC3M and completed a Master’s degree in Computer Science and Technology with a
specialization in Artificial Intelligence at the same university, as well as a Master’s degree in
Biomedical Engineering from Universidad Politécnica de Madrid (UPM). She holds two PhDs:
the first in Computer Science from UC3M and the second in Biomedical Engineering from
UPM (ETSIT-UPM) and the European Institute of Innovation & Technology (EIT Digital). Both
were recognized with several excellence awards, including the UC3M Extraordinary
Doctorate Award, the Francisco del Pozo Award for the best doctoral thesis from the
Biomedical Technology Centre (CTB-UPM), and the RENIC Award for the best doctoral
thesis in cybersecurity at the national level.
Throughout her career, she has consolidated an interdisciplinary research line focused on
cybersecurity in e-health, biomedical signal analysis and processing, brain–computer
interfaces (BCI), and the application of Artificial Intelligence. She has collaborated with
internationally renowned researchers and has carried out research stays at Aalto University
(Finland) and the Oxford University (United Kingdom).
In terms of scientific output, she has numerous publications in international indexed journals,
around 90% of which are ranked in the first or second quartile of the Journal Citation Reports
(JCR). Her work addresses topics such as the security of implantable medical devices,
biometric authentication based on physiological signals, and the use of machine learning and
deep learning techniques for the analysis of neurological and cardiac signals for diagnostic
and clinical monitoring purposes.
She has participated in several competitive research projects, both at the national and
European levels, in areas related to cybersecurity in medical infrastructures, early diagnosis
of neurodegenerative diseases using artificial intelligence, and the development of intelligent
biomedical devices. She has also led technology transfer contracts with international entities
and holds registered software in the field of applied cryptography and random number
generation.
She combines her research activity with teaching at undergraduate and postgraduate
engineering programs, as well as the training of doctoral researchers, and serves as an
associate editor for indexed scientific journals. Her career integrates research and
technology transfer with international activity in the field of cybersecurity in digital health and
the application of artificial intelligence in bioengineering and healthcare.