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.
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.