Javier Escudero, PhD profile page

Dr. Javier Escudero is a reader in biomedical signal processing at the Institute for Imaging, Data and Communications in the School of Engineering of the University of Edinburgh, UK. He received a MEng (2005) and a PhD (2010) in telecommunications engineering from the University of Valladolid, Spain. His research interests are in the development and application of signal processing and machine learning algorithms for physiological signals. He has authored over 100 journal articles and over 65 conference proceedings. He has recently contributed new methods in nonlinear dynamical analysis (graph theory, network analysis and graph signal processing) and machine learning techniques for biomedical data. Recent areas of application of his work include the characterization of early Alzheimer’s disease, the detection and prediction of seizures and the monitoring of patients in intensive care units. He is a senior member of the IEEE and has recently co-organized special sessions about biomedical data analysis in several international conferences.