Iván García-Magariño is a lecturer and a contributor to the GRASIA research group at the Complutense University of Madrid. Prior to commencing this position in 2018, he was a PhD assistant professor in University of Zaragoza (2014-2018). Before this role, he was a lecturer at the Madrid Open University (2010-2014). Iván was awarded his Ph.D. in Computer Science Engineering from the Complutense University of Madrid in 2009, and he was a recipient of an FPI scholarship from 2006 to 2010. His main research interests include artificial intelligence (AI), explainable AI, agent-based simulators, multi-agent systems, and financials, as well as when some of these interests are also applied to different fields such as IoT, security, and health. Among journals, book chapters, conferences and workshops, he has over 140 publications (over 64 in journals with ISI Thomson JCR). He actively collaborates with City University of London (UK) on Human-centric AI and security–privacy projects, the EduQTech research group from the University of Zaragoza on m-health projects, the HCI Lab from the University of Udine (Italy) on human–computer interaction projects, Technological University Dublin (Ireland) on data mining projects, and the Multicultural Alzheimer Prevention Program (MAPP) of Massachusetts General Hospital and Harvard University (US) on m-health projects. He has been the guest editor in several special issues with impact factors.

Dr. Javier Bravo-Agapito is an Associate Professor in the Department of Software Engineering and Artificial Intelligence at the Faculty of Computer Science, Universidad Complutense de Madrid (UCM). He earned his PhD in Computer Science from Universidad Autónoma de Madrid in 2010. Previously, he served as an Associate Professor at Madrid Open University (MOU) and as an Assistant Professor at UCM. Dr. Bravo-Agapito has published 20 peer-reviewed journal articles and presented at 12 international conferences. His teaching encompasses artificial intelligence, machine learning, and web applications, with research interests focused on machine learning and education.

Raquel Lacuesta received her degree in Computer Science Engineering and her Ph.D. (Dr.-Ing.) in Computer Science Engineering from the Polytechnic University of Valencia in 1999 and 2008, respectively. She has been a Lecturer in Computer Science at the University of Zaragoza for over 22 years. Currently, she teaches subjects related to human–computer interaction, information systems, and Security. She has authored or co-authored more than 100 scientific papers presented at national and international conferences and journals with JCR impact, as well as over 30 education-related papers published in similar venues. Her main research interests include security and auto-configuration in ad hoc and spontaneous networks, human–computer interaction, social interactive agents, and education.