Dr. Julia Amorós López obtained her degree in Telecommunications Engineering, as well as her Master's and Doctorate degrees in Electronic Engineering from the University of Valencia in 2000, 2002, and 2012, respectively. Since 2003, she has been part of the Department of Electronic Engineering at the University of Valencia, where she is currently a tenured professor. She teaches courses on industrial automation, time series analysis, image processing, machine learning, deep learning, and classification and change detection in remote sensing data. She is also a researcher at the Image Processing Laboratory at the University of Valencia, which is made up of a multidisciplinary team of physicists, mathematicians, and engineers. Her work is mainly related to pattern recognition and machine learning applied to multispectral remote sensing images. Specifically, her doctoral thesis focused on image fusion, developing methods to improve spatial resolution by applying multitemporal image fusion techniques and change detection with improved spatio-temporal resolutions.

In addition, she has participated in the development of ESA's Cal/Val database and in various field campaigns (SPARC, SEN2FLEX, CEFLES2), helping to organize and manage different types of vegetation parameter measurements from in situ, aerial, and satellite data. Her research in machine learning and pattern recognition has also been carried out within the framework of several national and international projects. She has been involved in several national transfer projects (Valencian Cartographic Agency - ICV; National Geographic Institute - IGN), and in numerous international projects funded by the European Space Agency (ESA), the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), and the European Union (Sentinels Synergy Framework SenSyF project of the FP7-Space program).

She has mainly developed algorithms in classification, change detection, and image fusion applications using different optical sensors for Earth observation, including aerial and satellite data (Proba/CHRIS, Landsat, SPOT, MERIS, MODIS, Sentinel-2, among others). She has also participated in the development of algorithms for cloud removal in ESA projects and in multitemporal analysis for crop monitoring. Currently, his research focuses on obtaining biophysical parameters and vegetation properties using satellite data, multitemporal image fusion, and change detection. She also works with the Department of Geography and History at the University of Valencia on estimating ocean water parameters using hyperspectral remote sensing images, as well as classifying different optical water types (OWT) using Sentinel-3 images, UAVs, and in-situ measurements.

Dr. J. Amorós López has a Hirsch h-index of h=21 according to Google Scholar.

[Biography, english version]

Prof. José D. Martín-Guerrero received a B.Sc degree in Theoretical Physics (1997), a M.Eng. degree in Electronics (1999) and a Ph.D. degree in Machine Learning (2004), all from the University of Valencia, Spain. He is currently a Full Professor at the Department of Electronic Engineering, University of Valencia. His research interests include Machine Learning and Computational Intelligence, with special emphasis in Quantum Machine Learning. He is Co-Chair and founder member of the Medical Data Analysis Task Force (Data Mining Technical Committee, IEEE Computational Intelligence Society). He is also founder member of the Task Force on Explainable Machine Learning, also belonging to the same committee, and theTask Force on Randomization-Based Neural Networks and Learning Systems (Neural Networks Technical Committee, IEEE Computational Intelligence Society). He has organized more than 30 special sessions and workshops in the major conferences of his research field. 

Dr. Adrián Suárez is an Assistant Professor at the Electronic Engineering Department of the University of Valencia (UVEG), Spain, since 2022. He developed his research as a member of the Communications and Digital Systems Design Group - DSDC at the UVEG. Dr. Suarez received the B.S. and M.S. degrees in electronics engineering from the University of Valencia, Valencia, Spain, in 2013 and the Ph.D. degree in electronics engineering from the University of Valencia, Valencia, in 2021. From 2013 to 2015, he was a Research Assistant with the Design of Communication and Digital Systems Research Group (DSDC), University of Valencia. Since 2015, he is working as Research Engineer within the Cátedra EMC, a collaboration agreement between the University of Valencia and the German and multinational company Würth Elektronik eiSos. Since 2017, he has worked as an Adjunct Professor with the Electronics Engineering Department, University of Valencia.

His research interests include the advanced characterization of electromagnetic shielding materials for 5G technologies and board-level shielding solutions. Dr. Suarez became a Member (M) of IEEE in 2012. He collaborates with the IEEE EMC Society through the Technical Committee 4 for EMI Control, specifically, in the workgroups focused on the Characterization of Shielding Effectiveness Planar Materials (P2715) and Characterization of Shielding Effectiveness of Printed Circuit Board Level Shielding (P2716).