ALIN ACHIM
Professor Alin Achim received the B.Sc. and M.Sc. degrees in electrical engineering from “Politechnica” University of Bucharest, Romania, in 1995 and 1996, respectively, and the Ph.D. degree in biomedical engineering from the University of Patras, Greece, in 2003. He then obtained an European Research Consortium for Informatics and Mathematics (ERCIM) Post-doctoral Fellowship, which he spent with the Institute of Information Science and Technologies (ISTI-CNR), Pisa, Italy, and the French National Institute for Research in Computer Science and Control (INRIA) Sophia Antipolis, France. In October 2004, he joined the Department of Electrical and Electronic Engineering, University of Bristol, Bristol, U.K., as a Lecturer, where he became a Senior Lecturer (Associate Professor) in 2010 and a Reader in biomedical image computing in 2015. Since August 2018, he holds the Chair of Computational Imaging, at the University of Bristol. From 2019 to 2020, he was a Leverhulme Trust Research Fellow with the Laboratoire I3S, Université Cote d’Azur. He was awarded a Chair of Excellence by the University of the Code d’Azur in 2020.Alin has coauthored over 200 scientific publications, including 69 journal articles. His research interests include statistical signal, image, and video processing and machine learning, with applications in both biomedical imaging and Earth Observation. He was/is an Elected Member of the Bio Imaging and Signal Processing Technical Committee of the IEEE Signal Processing Society, an Affiliated Member (invited) of the Signal Processing Theory and Methods Technical Committee, and a member of the IEEE Geoscience and Remote Sensing Society’s Image Analysis and Data Fusion Technical Committee. He was/is an Associate Editor / Senior Area Editor of the IEEE Transactions on Image Processing, and of the IEEE Transactions on Computational Imaging.
GONZALO ARCE
Dr. Gonzalo R. Arce is the Charles Black Evans Professor in the Electrical and Computer Engineering Department at the University of Delaware. He is a JPMorgan-Chase Senior Faculty Fellow with the Institute of Financial Services Analytics at University of Delaware. He held twice the Nokia-Fulbright Distinguished Chair in Information and Communications Technologies at Aalto University in Helsinki, Finland. His research interests lie in computational imaging, signal processing, and machine learning. Dr. Arce is a Fellow of the IEEE, OPTICA, the SPIE and was elected to the National Academy of Inventors. He is Editor-in-Chief of the IEEE Transactions on Computational Imaging.
Adriano camps
Adriano Camps joined the Dept. of Signal Theory and Communications, Universitat Politècnica de Catalunya (UPC), as an Assistant Professor in 1993, Associate Professor in 1997, and Full Professor since 2007. In 1999, he was on sabbatical leave at the Microwave Remote Sensing Lab., of the Univ. of Massachusetts, Amherst. Since September 2022 he has been an ASPIRE Visiting International Professor at the UAE University, Al Ain, Abu Dhabi.
His research interests are focused on: 1) microwave remote sensing, with special emphasis on microwave radiometry by aperture synthesis (Ph.D. Thesis about the MIRAS instrument, which became the single payload of ESA’s SMOS mission), 2) remote sensing using signals of opportunity (GNSS-R), 3) radio frequency interference detection and mitigation, 4) ionospheric propagation, and 5) nanosatellites as a tool to test innovative remote sensors.
His publication record includes over 268 papers in peer-reviewed journals, 9 book chapters, and the book Emery and Camps, “Introduction to Satellite Remote Sensing. Atmosphere, Ocean, Land and Cryosphere Applications,” Elsevier, 2017, 860 pages), and more than 541 conference presentations. According to Google Scholar/Scopus, his h-index is 63/48, and his publications have received more than 15.665/10.817 citations. According to the October 2023 Stanford ranking, he is among the top 2% of researchers in all categories.
Prof. Camps holds 12 patents and has advised 30 Ph. D. Thesis students (+ 10 ongoing), and more than 150 B.Eng. final degree and M.Eng. Theses. These Ph.D. students have now responsibility positions at universities, companies, and research centers, including NASA/JPL, ESA, and Airbus, and two have started their own companies with Prof. Camps’ participation, having transferred a total of five patents to these.
Prof. Camps was the Scientific Coordinator of the CommSensLab Research Center (María de Maeztu Excellence Research Unit 2016-2020) at the Dept of Signal Theory and Communications, UPC. Within CommSensLab, he co-led the Remote Sensing Lab (prs.upc.edu/ ), and leads the UPC NanoSat Lab (nanosatlab.upc.edu/en ). He is the PI of the first four UPC nano-satellites: 1) Cat-1: 1U CubeSat with 7 tech demos, 2) Cat-2, a 6U CubeSat with an innovative dual-frequency dual-polarization GNSS-R payload, 3) Cat-4, a 1U Cubesat with an SDR implementing a microwave radiometer, a GNSS-Reflectomer, and AIS receiver, 4) FSSCAT, a tandem mission formed by two 6U CubeSats (Cat-5/A and /B), and 5) the IEEE/GRSS Open PocketQube Kit (Cat-1, -2, -3). FFSCAT was the winner of the 2017 Copernicus Masters Competition, and it is the first mission contributing to the Copernicus System based on CubeSats. FSSCAT was produced for the first time using CubeSats, scientific quality soil moisture, sea ice extent, concentration and thickness, and sea salinity maps in the Arctic.
Prof. Camps was Chair of uCal 2001, Technical Program Committee (TPC) Co-chair of IGARSS 2007, co-chair of GNSS-R ’10, general co-chair of IGARSS 2020, co-chair of the 6th Fractionated and Federated Satellite Systems Workshop, member of the organizing committee of the ESA 4th Symposium on Space Educational Activities (SSEA), and has participated in all TPCs of the International Geoscience and Remote Sensing Symposium (IGARSS) since 2000, and in the TPCs of other conferences such as MicroRad, M2GARSS, Congreso de la AET, Asamblea Nacional de la URSI (Spain) etc.
Prof. Camps was Associate Editor of Radio Science, IEEE Geoscience and Remote Sensing Letters, and IEEE Transactions on Geoscience and Remote Sensing, and has been guest editor of several special issues in IEEE and MDPI. He was the President-Founder of the IEEE Geoscience and Remote Sensing Society (GRSS) Chapter in Spain, he is the Counselor of the IEEE Student Branch at UPC-BarcelonaTech, and in 2017-2018 he was the President of the IEEE Geoscience and Remote Sensing Society.
Prof. Camps has received several awards for his contributions to:• Research: 1) 2nd National Award of University Studies (1993); 2) INDRA award of the COIT to the best PhD in Remote Sensing (1997); 3) UPC extraordinary Ph.D. Award (1999); 4) Research Distinction of the Generalitat de Catalunya (2002); 5) the European Young Investigator Award (2004), 6) the ICREA Academia award (2009, 2015), and 7) the elevation to the grade of Fellow of the IEEE (2011).• Technology transfer: As a member of the Microwave Radiometry Group, he received 1) the 1st Duran Farell Award (2000) 2) the Ciutat de Barcelona award (2001) for Technology Transfer, and 3) the “Salvà i Campillo” Award of the COETC for the most innovative research project for MIRAS/SMOS activities (2004), and 4) the 7th Duran Farell award for Technological Research for the work on GNSS-R instrumentation and applications (2010), 5) the 13th Duran Farell award for Technological Research for the work on the FSSCAT mission (2022), the 6) with Dr. Querol, the ESNC Award-Barcelona Challenge for the FENIX system to detect and mitigate RFI in GNSS receivers (2015), and 7) the 2017 ESA Sentinel Small Satellite Challenge and the Overall Winner of 2017 Copernicus Masters Competition.• Education: collective awards together with Profs. R. Bragós, E. Alarcón, E. Sayrol, A. Oliveras, and J. Pegueroles: 1) Jaume Vicens Vives award 2012 (17/9/2012) from the Generalitat de Catalunya for the Project “Concepció, Disseny, Implementació i Operació de l’itinerari d’assignatures de projectes d’acord amb la iniciativa International CDIO” at Telecom Barcelona, and 2) UPC award to the Teaching Quality at the University 2012 from the Social Council of the Universitat Politècnica de Catalunya, and individual award: 3) IEEE Geoscience and Remote Sensing Society – Education Award 2021
mujdat cetin
Mujdat Cetin is a Professor of Electrical and Computer Engineering and of Computer Science, and the Robin and Tim Wentworth Director of the Goergen Institute for Data Science and Artificial Intelligence at the University of Rochester. He is also serving as the Director of the New York State Center of Excellence in Data Science and Artificial Intelligence. Previously he served as a faculty member at Sabanci University, Istanbul, Turkey, and as a Research Scientist at MIT. He also held visiting faculty positions at MIT, Northeastern University, and Boston University. He received his PhD from Boston University.
Mujdat Cetin’s research interests are within the area of data, signal, and imaging sciences, and include computational imaging, bioimage analysis, and brain-computer interfaces. Mujdat Cetin served as the Editor-in-Chief of the IEEE Transactions on Computational Imaging, as the Chair of the IEEE Computational Imaging Technical Committee, and as the Technical Program Co-chair for five conferences. He received several awards including the IEEE Signal Processing Society Best Paper Award; the EURASIP/Elsevier Signal Processing Best Paper Award; the IET Radar, Sonar and Navigation Premium Award; and the Turkish Academy of Sciences Distinguished Young Scientist Award. He is a Fellow of IEEE.
Mujdat Cetin’s research interests are within the area of data, signal, and imaging sciences, and include computational imaging, bioimage analysis, and brain-computer interfaces. Mujdat Cetin served as the Editor-in-Chief of the IEEE Transactions on Computational Imaging, as the Chair of the IEEE Computational Imaging Technical Committee, and as the Technical Program Co-chair for five conferences. He received several awards including the IEEE Signal Processing Society Best Paper Award; the EURASIP/Elsevier Signal Processing Best Paper Award; the IET Radar, Sonar and Navigation Premium Award; and the Turkish Academy of Sciences Distinguished Young Scientist Award. He is a Fellow of IEEE.
JIAXI HU
Dr. Jiaxi Hu was born in China, in June 1990. He received the B.S. degree in atmospheric science from the Florida State University, Tallahassee, FL, USA, in 2013, and Ph.D. degrees in atmospheric science from the Texas A&M University, College Station, TX, USA, in 2018. From 2018 to 2025, he was a Research Scientist with the NOAA National Severe Storms Laboratory (NSSL) and the Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO). He is currently a Research Faculty (tenure-track) with the Atmospheric Sciences Research Center, Albany, NY, USA. He works on novel radar and satellite processing algorithms to improve the understanding of atmospheric processes, especially on extreme weather events. He also works on aerosol cloud interactions and their implication to climate change.
David Schvartzman
David Schvartzman (Senior Member, IEEE) was born in Piracicaba, SP, Brazil, on March 17, 1988. He received the M.S. and Ph.D. degrees in electrical and computer engineering from the University of Oklahoma, Norman, OK, USA, in 2015 and 2020, respectively, with a focus on polarimetric phased array radar. Dr. Schvartzman has held research positions supporting the NOAA National Severe Storms Laboratory (NSSL) and the Advanced Radar Research Center (ARRC) at the University of Oklahoma. At NSSL, he gained key insights into observational needs for improving weather warnings and forecasts and developed signal processing algorithms to enhance meteorological products for the operational US Weather Surveillance Radar (WSR-88D). He is currently an Assistant Professor with joint appointments in the School of Meteorology and the School of Electrical and Computer Engineering at the University of Oklahoma, affiliated with the ARRC. His work spans signal and array processing, radar calibration, and the development of advanced radar techniques for weather observation and severe weather detection.
Dr. Schvartzman is the recipient of several awards, including the 2023 IEEE R5 Outstanding Young Professional Award, the 2024 Research Excellence Award from the College of Atmospheric and Geographic Sciences at the University of Oklahoma, and the 2019 American Meteorological Society’s Spiros G. Geotis Prize. He is a Senior Member of the IEEE and a member of the American Meteorological Society (AMS) and its Scientific and Technological Activities Commission (STAC) on Radar Meteorology.