Mario Muñoz-Organero received the M.Sc. degree in telecommunications engineering from the Polytechnic University of Catalonia, Barcelona, Spain, in 1996, and the Ph.D. degree in telecommunications engineering from the Carlos III University of Madrid, Leganes, Spain, in 2004.He is a full Professor in Telematics Engineering at the Carlos III University of Madrid. His main current research interests are in machine learning, deep learning, human activity recognition, health applications enhanced by machine learning, pervasive learning, personal recommender systems, mobile distributed and service oriented technologies and architectures, information systems, artificial intelligence, smart environments, adaptive systems and applications for the Internet of Things. He has participated as principal investigator in several regional, national and international funded research projects such as "ANALISIS EN TIEMPO REAL DE SENSORES SOCIALES Y ESTIMACION DE RECURSOS PARA TRANSPORTE MULTIMODAL BASADA EN APRENDIZAJE PROFUNDO" MaGIST-RALES), funded by the Spanish Agencia Estatal de Investigación (AEI, doi 10.13039/501100011033) under grant PID2019-105221RB-C44, "ANALYTICS USING SENSOR DATA FOR FLATCITY" TIN2016-77158-C4-1-R, HERMES-SMARTDRIVER - TIN2013-46801-C4-2-R, TUD COST Action TU1305 - Social networks and travel behaviourthe Spanish funded OSAMI project (TSI-020400-2009-92), the EU FP7 funded GEEWHEZ project (FP7/2007-2013) under grant agreement n° 286533, the Spanish funded project “HAUS. Hogar digital y contenidos Audiovisuales adaptados a los USuarios” IPT-2011-1049-430000 or the Spanish funded project “ARTEMISA Arquitectura para la eficiencia energética y sostenibilidad en ambientes inteligentes” TIN2009-14378-C02-02, inside the Carlos III University of Madrid. He has published over 100 articles in national and international conferences and journals.”
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