Gustau Camps-Valls (born 1972 in València) is a Physicist and Full Professor in Electrical Engineering in 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 40 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 5 international books on remote sensing, image processing and machine learning. He has an h-index of 75 with 23000+ citations in Google Scholar. He was listed as a Highly Cited Researcher since 2011, 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, keynote speaker in 10+ conferences, and (co)advised 10+ 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; Fellow Consultant of the ESA PhiLab (2019) and member of the EUMETSAT MTG-IRS Science Team. He is compromised with open source/access in Science, and is 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.

Raimundo García-Olcina has both a degree in Physical Sciences (1998) and in Electronics Engineering (2000) from the University of Valencia, as well as a PhD in Telecommunications (2008) from the Polytechnical University of Valencia. Until 2011 he was linked to the latter university, where he investigated in the Optical and Quantum Communications Group on topics such as Bragg diffraction grating in fiber and applications, optical sensors and integrated photonic circuits. Since 2011 he has been professor in the Department of Electronic Engineering of the UV, (associated professor since 2017), and member of the Group for the Design of Digital and Communications Systems (DSDC). His research work is mainly focused on the group's research lines that encompass areas such as environmental intelligence, sensor networks, radiation sensors, reconfigurable logic systems, image processing and electromagnetic compatibility. He is (co)author of more than 40 indexed international publications and has participated in many conferences and projects in these areas.

I have a doctorate in Electronic Engineering from Universitat Politècnica de Valencia (UPV), Master in Electronic Systems Engineering and Technical Telecommunications Engineer from the same university. My doctoral thesis “Mathematical modeling approaches for the diagnosis and treatment of reentrant atrial tachyarrhythmias” was developed within the FPU program (Spanish Ministry of Education) and, during my PhD, I completed a research stay at the University of Oxford (United Kingdom). I carried out postdoctoral research periods at the ITACA Institute (UPV) and the Cardiology Service of the Gregorio Marañón Hospital, obtaining a competitive postdoctoral scholarship from Generalitat Valenciana.

My research has focused on increasing knowledge of the mechanisms of triggering and maintening cardiac arrhythmias, developing diagnostic tools and instrumentation based on this knowledge, and introducing these techniques into experimental and clinical practice. As a result of this translational research work, I was co-founder of Corify Health Care S.L.

I am currently a professor at the Dept. of Electronic Engineering at the Universitat de València and I develop my research at COMMLAB.

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. 

[Biography, english version]