The team

DENIS@home is developed and maintained by the CoMBA research group at University San Jorge.

The members of the research group participating in this project are:

Jesús Carro

M.Sc. degree in Telecommunication Engineering (2009) from the University of Oviedo, and M.Sc. degree in Biomedical Engineering (2010) and Ph.D. in Biomedical Engineering (2019) from the University of Zaragoza. Since 2011, he is working at the University San Jorge (Zaragoza, Spain). He is currently an Associate Professor, and the Vicedean for the Degree in Bioinformatics.

His research interests are focused on the mathematical modeling of the electrical activity of the cardiac cells. In particular, he is working in a new electrophysiological model of the human ventricular cells.

Violeta Monasterio

Telecommunications Engineer (2005) and PhD in Biomedical Engineering (2011) from the University of Zaragoza. Since 2013 she has been working at the Universidad San Jorge, currently as a Associate Professor. Previously she worked as a researcher at the Center for Biomedical Research Network (CIBER-BBN), at the Institute of Biomedical Engineering of the University of Oxford (UK) and at the Aragon Institute for Engineering Researc.

Her research interests are focused on the application of computational techniques for cellular electrical modeling and for the processing of biomedical signals.

Alejandro Alcaine

Telecommunication Engineer (BSc and MSc) and Biomedical Engineer (MSc and PhD). He was part of the BCN-MedTech Unit at Universitat Pompeu Fabra (Barcelona, Spain) during two years. He spent half year in the Hospital Clìnic (Barcelona, Spain) and one year at CIBER-BBN (Zaragoza, Spain). Nowadays, He is Associate Professor (Profesor Contratado Doctor) in Bioinformatics at Universidad San Jorge (Zaragoza, Spain).

His research interests involve signal processing techniques applied to biological signals namely focused on its application to time-based detection and characterization of invasive intracardiac (EGM) signals for helping the guidance of ablation procedures for arrhythmia treatment as atrial fibrillation (AF) or ventricular tachycardia (VT) as well as machine learning-related applications to cardiology.

Marta Gómez

Graduated in Mathematics (2014), Master's Degree in Mathematical Modeling and Research, Statistics and Computing (2016) and PhD student in Biomedical Engineering (since September 2020) at the University of Zaragoza. Since 2016 she works as Lecturer at the Universidad San Jorge

Her research interests are focused on the study of the contribution of SK channels in the human ventricle in hearts with heart failure using elcardiac electrophysiological modeling.