Armin Moghimi Editor

Kishore Chandra Swain received his master's and PhD from the Asian Institute of Technology (AIT), Thailand. His postdoctoral experience includes 2 years in Denmark and 1 year at Dalhousie University, Canada. He has published six books and nearly 100 journal and conference proceedings papers. He has sound computer programming knowledge in C, C++, MATLAB, AutoCAD, ArcView, ArcGIS, ENVI, and SNAP/GEE. Four students have been awarded PhDs under his supervision. His major areas of research have been precision agriculture, computer vision, machine learning, and flood and drought monitoring. Chiranjit Singha received his PhD in agricultural engineering from Visva-Bharati University, West Bengal, India, in 2019. His primary research focuses on applying precision agriculture (PA), geographic information systems (GIS), and remote sensing (RS) integrated with machine learning (ML) and deep learning (DL) to ecological environments and disaster management. His work aims to deepen the understanding of Earth observation system science, particularly in the context of geo-environmental and hydrometeorological climate change dynamics. He has received several accolades, including the UGC Junior Research Fellowship (2013–15) in India and the Best Research Paper Award at various international seminars. Additionally, he has reviewed articles for numerous prestigious international journals. Satiprasad Sahoo is the founder and director of Prajukti Research Pvt. Ltd. in Baruipur, Kolkata, India. He also worked as a water resource engineer at the International Centre for Agricultural Research in Dry Areas (ICARDA), Egypt. He received a BSc in geography from the University of Calcutta, Kolkata, India, in 2009, an MSc in remote sensing and GIS from Vidyasagar University, Midnapore, India, in 2011, and an MSc in geography from Chhatrapati Shahu Ji Maharaj University, Kanpur, India, in 2013. Furthermore, he received an MS (by research) in water management from the School of Water Resources at the Indian Institute of Technology Kharagpur, West Bengal, India, in 2016. He completed a PhD in hydro-environmental modeling from Jadavpur University, West Bengal, India, in 2019. He worked on postdoctoral research at the Indian Institute of Technology, Guwahati, Assam, India, and Nalanda University, Bihar, India. He has worked as a project officer, water resource engineer, assistant professor, and guest faculty at several institutions. Armin Moghimi received his MS and PhD degrees in civil photogrammetry and remote sensing engineering from K. N. Toosi University of Technology, Tehran, Iran, in 2015 and 2022, respectively. Since 2023, he has been a postdoctoral research associate at the Ludwig Franzius Institute for Hydraulic, Estuarine, and Coastal Engineering, Hannover, Germany, part of the Faculty of Civil Engineering and Geodesy at Leibniz University Hannover, Germany. Dr. Moghimi’s research interests encompass a wide range of topics, including computer vision, explainable artificial intelligence, agricultural crop yield prediction and classification, remote sensing, photogrammetry, deep learning, change detection, image registration, machine learning, SAR image processing, and LiDAR data processing. He serves as an associate editor for The Photogrammetric Record, published by Wiley Online Library. Dr. Moghimi has authored over 50 publications and reviewed more than 250 peer-reviewed journal papers. He actively collaborates on multidisciplinary research projects, contributing to the design and execution of innovative programs. Quoc Bao Pham obtained his PhD from the Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan, Taiwan. He has more than 12 years of research experience in hydrology, GIS, remote sensing, and applied soft computing. His research interests are water resources engineering, applied machine learning, climate change, statistical downscaling, hydrology, remote sensing, GIS, and spatial analysis. He has collaborated actively with many international researchers in several other disciplines of engineering. He has published more than 80 SCI/SCIE research papers and is a reviewer for more than 20 SCI/SCIE journals. He is also a guest editor of some SCI/SCIE journals in the fields of water resources, remote sensing, and machine learning. Biswajeet Pradhan is a distinguished professor at the School of Civil and Environmental Engineering, University of Technology Sydney, Australia. He is an international expert in data-driven modeling and a pioneer in combining spatial modeling with statistical and machine learning models for natural hazard predictions, including landslides. He has a strong research record, with more than 600 journal articles. He is an interdisciplinary researcher whose publications span multiple research areas, including geological and geo-environmental engineering.