Degree in Physics, PhD from the University of Göttingen (Germany) in 2008. Postdoctoral positions in Germany and Portugal in the following years. Since 2010, part of the IPL in the Universitat de València.

Associate teacher at UV since 2021 in the Department of Electronics Engineering at the ETSE.

Main research activity in the aerospace instrumentation area, in scientific definition and analysis of data, and in simulations of development and performance of observation instruments. Involved since 2010 in several research projects, mainly in the international missions SUNRISE, Solar Orbiter and VIGIL.

Research engineer at the Instituto de Física Corpuscular of Valencia. He received his Ph.D. degree in Physics from the University of Valencia in 2021, an M.S. in Computing in 2006 from Jaume I University, an M.S. in Electronics in 2009 from the University of Valencia, and an M.S. in Electronic Systems Design in 2012 from the Polytechnic University of Valencia. His research interests focus on digital electronics, synchronization, and readout acquisition systems. He is the author of several publications on electronics.

Gustau Camps-Valls (born in 1972 in València) is a Physicist and Full Professor in Electrical Engineering at the Universitat de València, Spain, where lectures on machine learning, remote sensing, and signal processing. He is the Head of the Image and Signal Processing (ISP) group, an interdisciplinary group of 50 researchers working at the intersection of AI for Earth and Climate sciences.

Prof. Camps-Valls published over 200+ peer-reviewed international journal papers, 300+ international conference papers, 25 book chapters, and 6 international books on remote sensing, image processing, and machine learning. He has an h-index of 95 with 43000+ citations in Google Scholar. He was listed as a Highly Cited Researcher in 2011, 2019-2023 (1% top-cited researcher in the area of Geosciences), and currently has 13 «Highly Cited Papers» and 1 «Hot Paper» Thomson Reuters ScienceWatch identified his activities as a Fast Moving Front research (2011) and the most-cited paper in the area of Engineering in 2011, received the Google Classic paper award (2019), and Stanford Metrics includes him in the top 2% most cited researchers of 2017-2020. He publishes in both technical and scientific journals, from IEEE and PLOS One to Nature, Nature Communications, Science Advances, and PNAS.

He has been Program Committee member of international conferences (IEEE, SPIE, EGU, AGU), and Technical Program Chair at IEEE IGARSS 2018 (2400+ attendees). He served in technical committees of the IEEE GRSS & IEEE SPS, as Associate Editor of 5 top IEEE journals, and in the prestigious IEEE Distinguished Lecturer program of the GRSS (2017-2019) to promote «AI in Earth sciences» globally. He has given 100+ talks, was a keynote speaker at 20+ conferences, and (co)advised 20+ PhD theses.

He coordinated/participated in 60+ research projects involving industry and academia at national and European levels. He assisted the aerospace industry in Advisory Boards; he is a Fellow Consultant of the ESA PhiLab (2019) and a member of the EUMETSAT MTG-IRS Science Team. He is committed to open source/access in Science and is a habitual panel evaluator for H2020 (ERC, FET), NSF, China, and Swiss Science Foundations.

He coordinates the ‘Machine Learning for Earth and Climate Sciences' research program of ELLIS, the top network of excellence on AI in Europe. He was elevated to IEEE Fellow member (2018) in two Societies (Geosciences and Signal Processing) and to ELLIS Fellow (2019). Prof. Camps-Valls is the only researcher receiving two European Research Council (ERC) grants in two different areas: an ERC Consolidator (2015, Computer Science) and ERC Synergy (2019, Physical Sciences) grants to advance AI for Earth and Climate Sciences.

Juan Bautista Ejea-Martí holds a Bachelor’s degree in Physical Sciences, specializing in Electricity, Electronics, and Computer Science (1993), and a PhD in Electronics Engineering (2000) from the University of Valencia. He currently works as an Associate Professor (2002) in the Department of Electronic Engineering (DIE) at the School of Engineering (ETSE) of the University of Valencia. He is a member of the research group “Industrial Electronics and Instrumentation Laboratory” (LEII) within the DIE. His research focuses on the application of power electronics in the aerospace field. He has collaborated on numerous industry projects that have strengthened relationships with various companies in the power electronics sector, as well as on projects funded by the National Plan and the Valencian Regional Government. He has been actively involved in academic management, having served as Secretary of the Department of Electronic Engineering from November 2008 to November 2011, Secretary of the School of Engineering (ETSE-UV) from March 2015 to March 2018, and Coordinator of the Bachelor’s Degree in Industrial Engineering from June 2018 to June 2021.

Actualmente soy Profesor Titular de Universidad adscrito al Dpto. de Ingeniería Electrónica en la Escuela Técnica Superior de Ingeniería de la Universitat de València donde he desarrollado mi actividad docente e investigadora desde el curso académico 1993/94. Tengo concedidos 5 quinquenios docentes y 5 tramos de investigación (sexenios) de los cuales uno es de transferencia.
En 1986 entré a formar parte del departamento de Investigación y Desarrollo de la empresa GH Electrotermia S.A. de reconocido prestigio internacional como fabricante de equipos industriales para aplicaciones de calentamiento por inducción. En este departamento ocupé el cargo de subdirector desde el año 1990 al año 2000 participando en multitud de proyectos como investigador principal, realizando publicaciones en revistas y congresos, redactando patentes de invención, participando en un gran número de cursos profesionales y manteniendo un estrecho contacto con la universidad que culminó al integrarme a su actividad docente e investigadora siendo profesor asociado desde 1993.
Al finalizar mi etapa como investigador en la empresa privada, siendo ya doctor ingeniero, continué mi actividad universitaria a tiempo completo como profesor ayudante en el año 2000 alcanzando dos años después la titularidad. En este periodo fui responsable de organizar la docencia de varias asignaturas y participé a la vez en múltiples proyectos con empresas, tanto como colaborador como investigador principal algunos de ellos incluidos en el Plan Estatal de Investigación Científica y Técnica y de Innovación.
He publicado 72 artículos en publicaciones científicas indexadas 57 de ellas de acuerdo con un índice de calidad relativo, 141 ponencias de congreso y 3 libros de investigación. He participado como IP de proyectos de gran duración acumulada (23,5 años en proyectos subvencionados en convocatorias competitivas) con gran número de investigadores a su cargo (media superior a 7 investigadores por proyecto) y una gran cuantía de fondos captados (2.853.297 euros de financiación en convocatorias competitivas). He sido IP en 17 proyectos de convocatorias nacionales con una duración total aproximada de 17 años y una captación de fondos de 2.596.372 euros, y 6 proyectos de convocatorias de la Generalitat Valenciana con una duración total de 6,5 años y una captación de fondos de 256.925 euros. He participado como investigador colaborador en 17 proyectos con financiación europea y 32 proyectos nacionales y de la Generalitat Valenciana.
También he realizado un total de 58 proyectos y contratos de I+D+i no competitivos, 29 de ellos como IP.
He dirigido o codirigido 3 tesis doctorales con mención “doctorado industrial” y dirigido un total de 62 trabajos fin de estudios, de los cuales 2 son TFM y 19 son PFC de titulación de nivel 7 MECU (segundo ciclo universitario equivalentes a master). He tutorizado a 282 alumnos en diferentes programas de prácticas externas más de 110 empresas cuya duración total asciende a 126.089 horas. También he dirigido 4 trabajos de tesis doctoral en empresa durante mi estancia en la GH Electrotermia S.A.
La transferencia al sector productivo se ha mantenido en paralelo con la redacción de 12 patentes de invención, 4 de protección nacional, 6 europeas, y 2 del Tratado de Cooperación de Patentes, habiendo participado en 60 contratos de I+D+i al amparo del artículo 83 de los cuales en 29 he actuado como IP. Actualmente soy miembro fundador y accionista de la empresa tecnológica SiCtech Induction creada como spin-off en 2017 sita en el Parc Cientific de la Universidad de Valencia cuya actividad es el diseño, fabricación y comercialización de inversores de alta frecuencia para calentamiento por inducción y también realiza trabajos de asesoría tecnológica, diseño y ensayos de productos de terceras empresas. En su todavía corta existencia, la empresa ha conseguido importantes logros tecnológicos y comerciales.
Mi experiencia docente universitaria abarca 31 cursos académicos en 8 titulaciones y 30 asignaturas con un total de 5.773 horas impartidas con evaluaciones positivas en toda mi actividad docente acreditada por el programa de calidad docente Docentia con 2 periodos evaluados entre 2011 y 2021 con una calificación de EXCELENTE en ambos.
He ocupado diversos cargos unipersonales de responsabilidad estatutarios en la universidad durante más de 8 años, he sido miembro de la CEPE de GIEI, he sido miembro de la CAT de GIEI mientras se obtuvo el sello EUR-ACE y he participado en diversas comisiones del departamento DIE siendo miembro de su junta permanente. Actualmente soy director de grupo de investigación LEII formado por 13 investigadores. En mi actividad profesional he realizado funciones de gestión y administración de grupos de investigación como subdirector del departamento de I+D+i compuesto por 10 investigadores participando como IP en numerosos desarrollos industriales y proyectos competitivos subvencionados.

Bachelor of Science in Physics and PhD in Electronic Engineering. Assistant Professor from 1994 to 2002, and Full Professor at the University since 2002. My research focuses on power electronics for satellite power supplies. Among more than 15 projects, I would highlight my contributions to the PHI instrument on the Solar Orbiter satellite, IMAX, and VIGIL.

Rafael García Gil holds a Bachelor’s degree in Physics, specializing in Electricity, Electronics and Computer Science (1993), a Degree in Electronic Engineering (1995), and a PhD in Electronic Engineering (2002) from the University of Valencia (UV). He has worked as an engineer in a private company in the aerospace sector (1996-1998) and completed a two-year research stay (2000-2002) at CERN (Switzerland) through a FPI scholarship from the Spanish Ministry of Education. He is currently (2009) an Associate Professor in the area of Electronic Technology within the Department of Electronic Engineering (DIE) at the same university. In this institution he has taught since 1998 in different subjects of both core, compulsory and optional nature, and his teaching is currently focused on the field of renewable energies and their conditioning.

He is a member of the Research Group "Laboratory of Industrial Electronics and Instrumentation" (LEII) within the DIE. His research has focused on four-quadrant power converters with high-frequency galvanic isolation, power inverters for grid connection, analog signal processing and, currently, the characterization of sensors and electronic instrumentation. As a summary of his scientific production, it should be noted that he is author of more than 40 publications in international journals, of which more than 35 are indexed with an impact index in the JCR(ISI). In addition, he is the author of more than 80 articles in national and international conferences. He has participated in several publicly funded research projects and industry research contracts, as well as in several funded educational innovation projects.

He has five accredited five-year teaching periods and four recognized research activity periods. He has been actively engaged in academic management, having been Secretary of the School of Engineering of the UV (ETSE-UV) between March 2018 and March 2021.

Prof. Dr. Luis Gómez-Chova is Full Professor at the Department of Electronics Engineering, University of Valencia, Spain, and Senior Researcher with the Image and Signal Processing Group at the Imaging Processing Laboratory (IPL). He received the B.Sc. (with first-class honors), M.Sc., and Ph.D. (summa cum laude) degrees in electronic engineering from the University of Valencia, Spain, in 2000, 2002 and 2008, respectively. He was the recipient of the National Award for Electronic Engineering by the Spanish Ministry of Education. He has completed different doctoral and postdoctoral stays at prestigious research centers (ESA, DLR, DTU).

He is a senior researcher of the Image and Signal Processing (ISP, isp.uv.es) group at the Image Processing Laboratory (IPL), where his research focuses on machine learning and image processing, particularly in the application domains of remote sensing data analysis and multispectral image processing. He conducts and supervises research on these topics within the framework of many national and international projects. He has been involved in many national projects with public funds, many international projects funded by the European Space Agency (ESA), and by the EU. In particular, he has leaded the development of the cloud detection algorithms for PROBA/CHRIS, ENVISAT MERIS & AATSR, Proba-V, SPOT-VGT, Landsat-8/9, and Sentinel-2, instruments in the frame of several projects. He was the recipient of the Google Earth Engine Award 2015, which was used to fund the 'Cloud detection in the Cloud' project. He is member of the ESA Proba-V Quality Working Group and he has developed the operational cloud detection algorithms implemented in the SPOT-VGT archive reprocessing and Proba-V ground segment.

He is the author (or coauthor) of more than 75 international journal papers (JCR), more than 160 international conference papers, and several international book chapters. He holds a Hirsch's h index h=50 (Google Scholar). He is referee of many international journals and conferences such as IEEE Trans. on Geoscience and Remote Sensing, International Journal of Remote Sensing, Pattern Analysis & Applications, Computers & Geo-sciences, etc.

Visit http://www.uv.es/chovago and http://isp.uv.es for more information.

Vicente González Millán, Telecommunications Engineer from the Polytechnic University of Valencia (1993), PhD in Telecommunications Engineering from the University of Valencia (1998), Graduate in Physics (2019).

Professor of Electronic Technology in the Department of Electronic Engineering of the University of Valencia since 2016.

He is a member of the i2N research group (Electronic Instrumentation in Medical and Nuclear Physics) and responsible for the nuclear instrumentation research line, a member of IRIMED (UVEG-LaFe Joint Research Unit), a member of GFTENA (Consolidated Research Unit of the Junta de Castilla y León), a member of the TC-10 committee on Signal Integrity of the IEEE Electromagnetic Compatibility Society and a member of the IEEE Consultants Network.

His doctoral thesis on the evaluation of hierarchical and parallel architectures for data acquisition systems applied to particle physics experiments was published in the books 'Handbook of Sensor Networks: compact wireless and wired sensing systems' and 'Smart Dust: sensor network applications, architecture and design' published by CRC Press.

From 1995 to 2013 he worked on the realization of the Read Out Driver system for the TileCal hadronic calorimeter of the ATLAS/LHC experiment at CERN.

Since 2012 he has been participating in the AGATA collaboration in the development of the experiment's backend electronics. He also participates in the NEDA and GRIT experiments.

He is the author of more than 50 international publications in the first third or fourth of their categories. He has supervised 10 doctoral theses related to the development of electronics for data acquisition in high-energy experiments or nuclear physics and transfer to ICT companies.

He has participated in several research projects, 14 of them funded by the CICYT (6 of them as principal investigator), 2 by the European Union (one as an external advisor) and 5 by the Generalitat Valenciana (including several PROMETEO projects).

He is co-inventor of two patents in operation by the company FERMAX, S.A.U.

The scientific objectives pursued by his line of research are the establishment of a strong participation in international experiments both in the technical and scientific areas thanks to collaboration with other groups. In this sense, the medium-term objective is to consolidate the presence and importance of the pole formed by the AGATA-IFIC group of the Institute of Corpuscular Physics and the i2N group in the AGATA experiment.

Alejandro José Laguna Sanz holds a PhD in Industrial Engineering from the Universitat Politècnica de València and is an Assistant Professor (Professor Ajudant Doctor) at the ETSE of the Universitat de València. His pre-doctoral training focused on the modeling, identification, and control of dynamic and biological systems, with an emphasis on Biomedical Engineering, specializing in the analysis of uncertainty and intra-patient variability using continuous monitoring data. This experience also established him as an international researcher through contracts and projects at centers such as Harvard University, University of California Santa Barbara and the CIBER, where he applied his expertise to develop prediction and control systems (e.g., artificial pancreas, glucagon dosing algorithms). His current role at the ETSE is as an expert in Biomedical Engineering and Computational Analysis with a solid research progression, recognized with two Research Six-Year Periods (Sexenios de Investigación) by ANECA.

Valero Laparra Pérez-Muelas is an Associate Professor in the Department of Electronic Engineering at the University of Valencia (UV). He is a researcher at the Image Processing Laboratory (IPL) and a member of the Image and Signal Processing (ISP) group.

He received his PhD in Computer Science from the University of Valencia in 2011. His career includes research positions at international institutions such as the University of Tübingen (Germany) and New York University (USA). His research focuses on the development of machine learning and image processing methods, with a special emphasis on statistics, vision science, and applications for Earth observation.

Jesús López has a PhD in Information Technology, Communications, and Computing from the University of Valencia. He works as an Assistant Professor at the Higher Technical School of Engineering at the aforementioned university. He graduated with a degree in Technical Engineering in Telecommunications from the University of Valencia in 2010. He was awarded the Extraordinary End of Degree Prize for the best academic record by the Official Association of Telecommunications Engineers of the Valencian Community. Obtained a Master's Degree in Telecommunications Engineering in 2018, and his PhD in 2022.

Dr. López initially worked on various engineering projects related to communications in the fields of healthcare, industry, and architecture. During this stage, he developed customized communications infrastructures and implemented telemedicine protocols and systems in the field of early care for heart disorders. He then pursued his professional career at the Institute of Robotics and Information and Communication Technologies (IRTIC), within the Simulation and Modeling Laboratory (LSyM) group and the Signal Processing & Acoustic Technology (SPAT) group, of which he is still a member today. During this stage, he focused his professional work on the development of advanced simulator physics, communications protocols for collaborative systems, and spatial audio acquisition, processing, and reproduction systems.

His academic and professional development led him to win a scholarship in the form of a Doctoral Training Contract (formerly FPI), through which he developed his doctoral thesis, focused on the monitoring and acoustic characterization of soundscapes with IoT technology, using deep learning. His studies in the field of acoustic parameterization and related signal processing have enabled him to develop his research focused on predictive maintenance using multiple sensors, particularly low-power acoustic sensors on IoT devices focused on Industry 5.0.

He is currently an Assistant Professor in the Department of Electronic Engineering within the Digital Systems and Communications Design (DSDC) group, also collaborating with the Signal Processing & Acoustic Technology (SPAT) group at the University of Valencia.

His research interests are related to the IoT, predictive maintenance, Industry 5.0, artificial intelligence, signal processing, technology applied to medicine, and communications.

He has participated in numerous projects with European and national funding. He also carries out various transfer, consulting, and research activities with different companies in the aforementioned areas, disseminating research results through press releases and presentations at conferences and the publication of scientific articles in indexed journals.

José Rafael Magdalena Benedito (B.Sc. Physics 1991, Ph.D. Physics 2000) holds a Ph.D. in Physics from the University of Valencia. Lecturer at the University of Valencia since 1994, he is currently a full professor in the Department of Electronic Engineering, attached to the School of Engineering of the University of Valencia. He teaches in Physical Sciences, Telecommunications Engineering and in three university master's degrees. He was an intern at AIDO (Technological Park, 1992), responsible for Medical Physics at Dextromédica (1993), web developer at the Fundación Universidad Empresa de Valencia (1996-1997) and associate professor in the Department of Computer Systems and Computing at the Universidad Politécnica de Valencia (1998). He has been Director of the Department of Electrical Engineering of the UV, member of the Senate, the Consell de Govern and the Economic Commission of the UV. He has also been a founding partner of three technological companies, and mayor of the town of Segorbe in Castellón.

His research work began in biomedical engineering and telemedicine, and since 2003 he is conducting his research in the area of Machine Learning. He has 43 international publications, 97 communications to conferences and 23 books and book chapters. He has also been principal investigator in four projects and has participated as a researcher in 30 European and national projects. He has been a member of IEEE and INNS (International Neural Network Society). His areas of interest are advanced data visualization, optimization problems and quantum machine learning.

Translated with www.DeepL.com/Translator (free 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 theoretical methods and their application to different fields, especially Physics, with special emphasis in Quantum Computing. 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. 

Marcelino Martínez-Sober obtained his Bachelor’s and PhD degrees in Physics from the University of Valencia in 1992 and 2000, respectively. He is currently a Full Professor in the Department of Electronic Engineering at the School of Engineering (ETSE-UV) of the University of Valencia, where he teaches courses on Data Analysis within the Master’s Degree in Data Science and the Bachelor’s Degree in Data Science, for which he also serves as coordinator. His research activity is carried out within the IDAL research group (http://idal.uv.es). He has participated in more than 25 publicly funded research projects and over 40 research transfer contracts with the productive sector, in areas such as industrial control, real-time digital signal processing, data mining, and anomaly detection. His main research interests include digital signal processing and exploratory data analysis as the first stage in knowledge discovery from data, as well as anomaly detection techniques, which have resulted in numerous publications in specialized journals and conference proceedings.

Fernando Mateo graduated as a Telecommunication Engineer from the Polytechnic University of Valencia (UPV), Spain, in 2005, and earned his PhD in Electrical Engineering from the same university in 2012. His research interests include feature selection, machine learning algorithms, deep learning, anomaly detection, and data visualization. He has carried out research on learning algorithms applied to multidisciplinary problems in fields such as industry, medicine, microbiology, cybersecurity, and bioengineering. He is currently an Associate Professor in the Department of Electronic Engineering at the University of Valencia (UV), a member of the Intelligent Data Analysis Laboratory (IDAL) research group, and Coordinator of the Bachelor's Degree in Electronic Engineering in Telecommunications (GIET). He has published numerous journal articles, book chapters, and conference contributions.

B.Sc. degree in Physics by Universitat de València in 1993, and B.Sc. degree in Electronics Engineering in 1996 in the same University In 2003 he obtains the PhD degree in Electronics Engineering.

His research interests are digital signal processing and statistical models for learning and prediction, applied mainly to remote sensing problems.
 

Jorge Parra is an Assistant Professor (2025) in the Electronics Department at the University of Valencia (UV). He received his PhD (2022, extraordinary prize), Master’s (2020), and Bachelor’s (2016) in Telecommunication Engineering from the Polytechnical University of Valencia (UPV). Since 2016, he has been involved in the design, simulation, and characterization of integrated photonic devices combined with functional materials. His research interests include materials with unconventional optoelectronic properties, next-gen electronic and optical devices offering new functionalities such as “memdevices” (devices with in-memory response) and neuromimetic devices, and disruptive communications and computing paradigms (e.g. neuromorphic computing), among others. His work has been recognized with several awards, including the National Award for Best Academic Record from the Spanish Association of Telecommunication Engineers (2021) and the National AtlanTTic Award for the best doctoral thesis in telecommunication technologies from the University of Vigo (2024).

Joaquín Pérez is a Senior Lecturer on electronics technology of the Department of Electronic Engineering of the Universitat de València, Estudi General, since 2023. In 2018, he joined the University of Valencia as an adjunct lecturer of the Department of Computer Science of the University of Valencia, General Study, in 2019 he was appointed as Lecturer of the department of Electronic Engineering of the University of Valencia. Meanwhile,  he was a computing professor for high school degrees until 2019. As a researcher he collaborates with international research institutions and companies such as Universitat Politècnica de València, Czech Technical University of Prague, Chalmers University, Northumbria University at Newcastle, HHI, Anritsu, Ericsson AB and others. He received his M.Sc. and Ph.D. degrees in Telecommunications engineering from Universitat Politècnica de València, Spain, in 2004 and 2009, respectively. Moreover, he has participated in several international research projects, e.g. OWIN6G, IST-UROOF, ICT-UCELLS, EU COST action IC0802, IC1101 and published more than 60 works in recognized international journals and conferences. He also participates in projects of educational innovation and awareness-raising and scientific dissemination such as GIRLS4STEM, led by the UV. His research interests include electronic for communications systems, microwave photonics,  5G communications, IoT, heterogeneous communications networks, quantum optics, wireless secure systems, optical wireless communications, photonics integrated systems and optical access networks. He is open also for collaboration on any interesting research topic on telecom, optics physics, and others.

José Manuel Piqueras Ruiz holds a degree in Automation and Industrial Electronics Engineering from the Universitat Politècnica de València and a Technical Industrial Engineering degree in Industrial Electronics from the University of Jaén. He completed his Final Degree Project at the University of Ulm (Germany), in the area of Measurement, Control and Microtechnology.

Since 2002, he has been working as a Vocational Education and Training teacher for the Generalitat Valenciana, teaching modules within the Electricity and Electronics field and serving as Head of the Electricity‑Electronics Department. From 2019 to 2021, he worked as a visiting teacher at San Antonio ISD (Texas), within the CTE Advanced Manufacturing program.

Since 2022, he has also been a part‑time lecturer at the University of Valencia, teaching in areas such as electrical machines, industrial automation, graphical expression, and electronics.

Professionally, he has worked as an engineer in automation and machine vision, developing automatic inspection systems, robotic guidance solutions and industrial quality control, as well as electrical installation projects. His areas of interest include automation, electrical systems, machine vision, and educational innovation in technological teaching.

I have successfully led the design and development of the KM3NeT acquisition electronics, serving as the KM3NeT electronics group coordinator and a member of the Technical Steering Committee from 2013 to 2025.

The electronics feature 31 TDC channels with a resolution of 1 ns. Given that maintenance is not feasible in the depths of the Mediterranean Sea, we conducted a thorough theoretical and practical evaluation of the electronics' reliability. We achieved the necessary synchronization by integrating the White Rabbit protocol, allowing for 1-ns synchronization and 1 Gbps data transfer over optic fiber lengths of up to 100 km. To date, electronics boards for more than 1,200 DOMs have been produced, with 51 lines already deployed and taking data. I have also led the upgrade of the acquisition electronics.

The neutrino telescope represents one of the world’s most complex and extensive synchronization networks.

My Ph.D. dissertation received the biennial prize for the best thesis on Instrumentation, Computation, and Technological Development from the Spanish Astronomical Society in 2021, and I was honored with the Nikola Tesla Award from the COGITI-Valencia for best career achievement in 2023.

I did a Telecomunications Engineering Degree and a Master in Biomedical Engineering, by Universitat Politécnica de Valencia and Universitat de Valencia. My PhD program was on Technologies of Health and Welfare with the title "Non-invasive identification of atrial fibrillation drivers". I focused my research career on mapping and therapeutical technologies for cardiac arrhythmias, from experimental, clinical and computational aspects. During my pre-doctoral training, I did a research stay at the Center for Arhythmia Research at University of Michigan under the guidance of Dr. O. Berenfeld. On my postdoctoral track, I did a 12-months research period at the Cardiovascular Department of the Stanford University, under the guidance of Dr. S.M. Narayan, and a second 18--months research period at the Hospital Gregorio Marañón, Madrid, under the guidance of Dr. F. Atienza. I am founder of two technology-based companies: Corify Health Care S.L. and Proteu Tecnología Aplicada Coop. V. and I usually participate in cardiology and biomedical engineering conferences such as Heart Rhythm, Computer in Cardiology, ACC, AHA, CASEIB, WIICT, etc.

Awards and fellowhips: Best Academic Career prize by the Education Minister, first of my promotion, Best PhD by UPV, Excellence Scholar by Universitat Politecnica de Valencia (1 year), Predoctoral Generalitat Valenciana grant (3 years), Predoctoral Research Stay grant (3 months), Postdoctoral GVA grant (2 years),  Eric N. Prystowsky Early Career Researcher Award by the Heart Rhythm Society, twice finalist of the Young Investigation Award by Computing in Cardiology Conference, Best Short Talk by CNIC conference, Premio Sanitaria 2000 Salud de la Comunidad de Madrid, HealthStart price by Madri+d, finalist of the ACC Young Investigator Award.

Principal Investigator of Research projects: Smart tools for personalized medicine and in-silico trials in cardiology (iTools4Cardio), PID2023-148702OB-I00; Personalized medicine for cardiovascular diseases using digital twins, Generalitat Valenciana, CIAICO/2024/247; In-silico models for the personalization of atrial fibrillation therapies, Generalitat Valenciana, GV/2018/103; Persistent atrial fibrillation: substrate targeted strategy (PERSUADE) PCI2024-15344

He is a member of IFAC (International Federation of Automatic Control) and CEA (Comité Español de Automática). His research is related to digital computer architectures for efficient data processing and computing. Currently, his main work is related to artificial intelligence algorithm hardware implementation, especially neural networks in different types: Feed Forward, Spiking, Convolutional, Deep Neural Networks, etc. His research is oriented to biomedical and industrial applications, including their control systems and automation. He holds 4 six-year state recognized research activity periods (sexenio investigación) and 1 technology transfer state recognized period (sexenio transferencia).

He has published more than 60 research papers in international scientific journals, presented more than 80 congress works and collaborated in several book chapters. He has been on sabbatical leave in Germany, Finland, Argentina, Mexico and India, and participated in different research projects under regional, national and European consortia. He has collaborated with numerous private companies for technology transfer projects related to automation, industry 4.0 and IoT.

He has supervised 7 PhD Theses (two of them with dual international program) and has participated in the evaluation of research projects (Spain, France, Mexico, etc.). He has also participated as a member of several PhD thesis examination committees in Doctoral Programs in Electronic Engineering and Computer Science. He holds one patent and two software Intellectual property programs. He has participated in invited talks and seminars in Spain, Morocco, India, Finland, Ecuador, and Kazakhstan.

Regarding teaching activity, he has been continuously teaching in the Department of Electronic Engineering at the Universitat de València since the 1995, in undergraduate, master, and PhD levels, in subjects related to digital electronic design, industrial automation, and signal acquisition and processing.

He has supervised more than 20 master’s Theses and 90 bachelor’s Theses. She has participated in 2 teaching innovation projects (one of them as principal investigator) and multiple teaching training workshops, with some teaching-related publications in international conferences.

He was Rector’s delegate for International Relations (7 years), Faculty vice-dean (3 years) and participated in multiple management committees in departmental, faculty, and university levels.

I am an Associate Professor in the Department of Electronic Engineering at the University of Valencia. I hold degrees in Mathematical Sciences and Physical Sciences, and a PhD in Electronic Engineering.

My university work focuses on teaching laboratory courses in Digital Electronics and High-Speed Electronics, combining practical training with a solid theoretical foundation. My research interests include the design and development of electronic data acquisition devices and Machine Learning, with particular interest in their technological and educational applications.

I also teach in the University Master’s Degree in Secondary Education Teaching, where I contribute my experience as a Secondary Education Catedrático, supporting the pedagogical and didactic training of future teachers.

I earned a BSc in Physical Sciences from the University of Valencia in 1990 and a PhD in Electronic Engineering in 1997.
I entered the body of Associate Professors (Profesor TItular) at the university in 1999 and became a Full Professor (Catedrático) in 2016.
I would like to highlight that I benefited from a specialization grant for technologists awarded by the Spanish Ministry of Education and Science from 1992 to 1994, during which I carried out R&D work in the Power Conditioning Section of the European Space Agency at the European Space Technology Centre (ESTEC) in the Netherlands.

In terms of administrative duties, I served as Secretary of the ETSE‑UV (Faculty of Science and Technology) from 2003 to 2005 and as Deputy Director of the ETSE‑UV from 2005 to 2012. I have also acted as Delegate of the Rector for the FORTHEM alliance since 2019, having established and developed the participation of the University of Valencia in the European Universities FORTHEM alliance.

My research is primarily focused on the space sector, leading power‑system design projects for space instruments and also participating in other competitive European Space Agency research projects. These projects have always been part of consortia, notably the Spanish Space Solar Physics Consortium (BOE No. 228, 22 September 2022, p. 130300 et al.). The projects have led me to manage National Plan projects as an PI (Principal Investigator) from 2016 to the present. Since 2020, the PHI instrument aboard the Solar Orbiter satellite has been in orbit around the sun, and the power supply—under my team’s responsibility—has operated flawlessly with no failures since then.

Within the research group, I have also collaborated on the power‑device line, focusing on characterizing devices for space applications, and on the industrial‑applications line specialized in high‑power inverters mainly for induction heating. The application of SiC components has enabled new milestones with these inverters.

In all cases, I have also developed projects with industry, combining research with technology transfer.

All my research activities are carried out alongside my teaching duties and university administration responsibilities.

Ricardo Sanz is an Aeronautical Engineer and holds a PhD in Automation, Robotics, and Industrial Informatics from the Universitat Politècnica de València. His predoctoral research focused on the development of control strategies for systems with delays in sensors and/or actuators. He has undertaken training and research stays at Georgia Tech and the University of California San Diego (UCSD). In recent years, he has focused his research activities on the field of biomedical engineering. He is currently an Assistant Professor in the Department of Electronic Engineering at the Universitat de València, which he joined in October 2024, and conducts his research at the Intelligent Data Analysis Laboratory (IDAL).

Jesús Soret Medel (1968, Quart de Poblet, Valencia) obtained his BSc in Physics (1991), BSc in Electronic Engineering (1996), and PhD (2000) from the University of Valencia. From 1996 to 1998, he worked under an FPI fellowship in the R&D Department of Fermax Electrónica, where he led the design of a multimedia, multichannel inter-building intercommunication system. From 1998 onwards, he successively held several Assistant Professor positions. From 2006 to 2016, he was an Associate Professor (Contratado Doctor). He is currently a Senior Lecturer (Profesor Titular) at the University of Valencia. His research activity in the field of Electronic Technology is carried out within the research group "Digital and Communication Systems Design". Specifically, his work focuses on hardware/firmware for embedded computing, reconfigurable logic, and high-performance electronics for applications mainly in medicine, high-energy physics, and ambient intelligence (IoT). As a result of this work, he has contributed to more than 50 journal articles and 70 national and international conference papers, 3 patents, and 30 publicly and privately funded contracts and research projects. He has co-supervised three PhD theses. He has undertaken several research stays, notably in 2005 at UPC Barcelona Tech, Spain, and in 2007 at CERN, Geneva, Switzerland. He has received positive evaluations for six five-year teaching periods (quinquenios, 1996-2025) and four six-year research periods (sexenios, 1996-2019). He is actively involved in academic management and currently serves as Delegate of the Rector for Internships and Employment, Coordinator of Internship Programs at the School of Engineering (ETSE-UV), member of the Standing Committee of the Department of Electronic Engineering, member of the Academic Committee of the Bachelor's Degree in Telecommunication Electronic Engineering, and Secretary of the Academic Committee of the PhD Program "Electronic Engineering", among other responsibilities.