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.

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.

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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. 

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.

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: Cardiac digital twins for stratification and planning of therapy in arrhythmias, Spanish Research National Agency, PID2020-114291RB-I00; Risk Stratification for Cardiac Arrhythmia based on Fibrosis and Scar-Specific Simulations, Generalitat Valenciana, AICO/2021/318; In-silico models for personalization of atrial fibrillation therapies, Generalitat Valenciana, GV/2018/103.

[Biography, english version]