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Investigador
Javier Prieto
Universidad
UNIVERSIDAD DE SALAMANCA
Trabajos
136 trabajos publicados.
Último trabajo publicado(2024-01-11): An overview of machine learning and deep learning techniques for predicting epileptic seizures
Último trabajo publicado(2024-01-11): An overview of machine learning and deep learning techniques for predicting epileptic seizures
Tecnologías
Artificial Intelligence
Indoor localization
Bayesian inference
Machine learning
Inertial navigation
Blockchain
Blockchain
Descripcion
Javier Prieto earned the PhD in Information and Communication Technologies and the Extraordinary Performance Award for Doctorate Studies from the University of Valladolid in 2012. At this University, he also received the Telecommunication Engineer degree (2008) and the Marketing Research and Techniques degree (2010). Since 2007, he has worked in different public and private research centers, such as: the Foundation Center for the Development of Telecommunications of Castilla y León (CEDETEL), for the development of localization systems for residencial environments; the University of Valladolid (Spain), as a researcher and lecturer at the Department of Signal Theory and Communications and Telematics Engineering; and the Massachusetts Institute of Technology (MIT), as a visiting researcher in Bayesian estimation techniques and navigation systems at the Laboratory for Information & Decision Systems (LIDS). He has also served as a distinguished researcher at the Department of Computer Science and Automation of the University of Salamanca under the Talent Attraction Program of the Salamanca Ciudad de Cultura y Saberes Foundation. Currently, he is an Associate Professor at the Bioinformatics, Intelligent Systems and Educational Technology Research Group (BISITE) of the University of Salamanca. He is also member of the Institute of Biomedical Research of Salamanca (IBSAL).Javier Prieto is or has been also a member of the teaching personnel of several masters: the University Master in Industry 4.0 of the International University of La Rioja; the Master in Big Data Science at the University of Valladolid; the Master in the Internet of Things and the Master in Urban Regeneration, Rehabilitation and Design of the University of Salamanca; and of the Master in Digital Marketing of the University of Santiago de Compostela. His teaching activities also include invited talks at the University of Aveiro, University of Alcalá, and at the University of Valladolid.Javier Prieto has published more than 150 papers in international journals, books and conferences, participated in more than 120 research projects, and been author of 2 Spanish patents. Moreover, he serves as the Editor-in-Chief for the Smart Cities journal in the Internet of Things Section, as an editor for the IEEE Communications Letters and for the Wireless Communications and Mobile Computing journals, as a guest editor for numerous journals and as a member of the scientific committee of the Advances in distributed Computing and Artificial Intelligence Journal. Senior Member of the IEEE, he is the Coordinator of the IEEE Blockchain Initiative in Spain, and a member of the Technical Committees on Cognitive Networks (TCCN) of the IEEE ComSoc and on RFID Technologies (MTT-24) of the IEEE MTT-S. General Chair of the BLOCKCHAIN congress, he has been the Operations Chair of the IEEE GLOBECOM 2021 conference, the TPC Chair of the IEEE ICUWB 2017 conference, and a member of the TPC of prestigious international conferences (such as IEEE GLOBECOM or IEEE ICC).Founder of the Quantum Artificial Intelligence Initiative (https://qtai.eu), his research interests include the explainable artificial intelligence and blockchain, to develop smarter and secure cities, the IoT and Edge Computing technologies, to improve social welfare and environmental sustainability, and the Quantum Machine Learning, to trigger the next revolution of the Artificial Intelligence.