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Dr. Stefano Vignudelli is a senior scientist employed at the Consiglio Nazionale delle Ricerche (National Research Council) in Pisa, Italy. He has over 25 years of scientific experience in the area of satellite remote sensing (radar altimetry, in particular) for studying coastal and inland environments (water level variability, in particular). Most significant accomplishment include leading development of satellite radar altimetry in the coastal zone to provide improved measurements for sea level research and applications. He is actively involved in international cooperation through joint projects, exchange visits, attendance at workshops and capacity building. He is also co-author of five chapters of books and around 100 publications (41 in peer-reviewed journals). He is coordinator/partner/evaluator of scientific projects. He is member of organizing/scientific committees and international societies. He is also an associate editor for Elsevier Advances in Space Research Journal in the area of satellite oceanography and vice-president elect of PORSEC association. Dr. Nurul Hazrina Idris is currently a Senior Lecturer of Department of Geoinformation, Faculty of Build Environment and Surveying, Universiti Teknologi Malaysia (UTM); a Leader of Tropical Resource Mapping Research Group, UTM; and Associate Fellow of the Geoscience and Digital Earth Centre (INSTeG), UTM. She held several positions as Honorary Staff at the Climate Change Research Centre of Excellent, the University of New South Wales, Australia (2014); and the University of Newcastle, Australia (2018-2019). She received the prestigious award of Endeavour Fellowship 2018 from the Ministry of Education and Training Australia to conduct a post-doctorate study at Newcastle University for 6 month. She has led several national and international collaborative research in the past 18 years in remote sensing and its related technology applications. Her research interest is on coastal altimetry, physical oceanography, sea level rise and climate change, ocean renewable energy, and artificial intelligence in remote sensing.

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