Rajkumar Guria
Centurion University of Technology and Management, Sambodhi Research and Communications Private Limited, Fakir Mohan University, Vidyasagar University
About
Rajkumar Guria is an Assistant Professor in the Department of Civil Engineering, School of Engineering and Technology, Centurion University of Technology and Management (CUTM), Bhubaneswar, Odisha, India. He is currently pursuing his Ph.D. in Geography at Fakir Mohan University, Odisha, where his research focuses on the application of geospatial technologies, remote sensing, GIS, artificial intelligence, and machine learning to environmental and climate-related challenges.
His research interests include drought assessment and prediction, forest fire susceptibility modeling, climate change impact assessment, shoreline dynamics, groundwater resource evaluation, lightning hazard mapping, land use and land cover change analysis, and disaster risk assessment. He has extensive experience in integrating satellite remote sensing, geospatial analytics, machine learning, and cloud-based platforms such as Google Earth Engine for environmental monitoring and decision support.
Rajkumar has authored more than 35 peer-reviewed research articles in leading international journals published by Elsevier, Springer Nature, Taylor & Francis, and other reputed publishers. His work has received over 600 citations, with an h-index of 16 and an i10-index of 21. His publications have appeared in journals including Science of the Total Environment, Physics and Chemistry of the Earth, Natural Hazards, Remote Sensing Applications: Society and Environment, Environmental Monitoring and Assessment, Marine Pollution Bulletin, and the Journal of Coastal Conservation.
His current research emphasizes GeoAI, climate resilience, Earth observation, explainable artificial intelligence (XAI), and geospatial decision-support systems for sustainable environmental management. He actively collaborates with national and international researchers on interdisciplinary projects related to climate adaptation, disaster risk reduction, and sustainable development.
In addition to his research, Rajkumar serves as a reviewer for several international peer-reviewed journals in environmental science, geoinformatics, remote sensing, climate change, and disaster management, contributing to the advancement of high-quality scientific research.
Employment
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Centurion University of Technology and Management Assistant Professor2026 - Present
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Sambodhi Research and Communications Private Limited Research Associate (Consultant)2026 - 2026
Education
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Fakir Mohan University Ph.D.2023 - Present
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Vidyasagar University M.sc2012 - 2014
Projects & Funding
Projects & funding information is unavailable.
Publications (40)
- Coastal futures at risk: Adaptive coastal management and policy insights from sea-level rise and shoreline change in West Bengal, India Save
- Multi-Model Geostatistical and Machine Learning-Based Framework for Landslide Susceptibility and Risk Assessment in the Upper Ravi Basin, North-Western Himalaya, India Save
- Mapping the global landscape of occupational noise hazards (ONH) in the mining industry: A systematic and metadata-driven review Save
- Integrated spatio-temporal analysis of historical and future projections precipitation variability alongside agricultural production trends in the North Western Himalayan Region Save
- Mapping Lightning Flash Density and Fatality Risk in Uttar Pradesh Using Satellite‐Based LIS Data and Geospatial Technology Save
- Geospatial analysis of Cyclone Remal's impact on the Sundarbans Biosphere Reserve: Insights into vegetation loss, shoreline changes, and flooding dynamics Save
- Spatiotemporal drought drivers in rainfed agroecosystems: A hybrid geospatial and machine learning approach for LULC-specific Vegetation Health Index (VHI) trends and yield loss assessment in the Eastern Ghats region (Odisha), India Save
- Machine Learning-Based Spatiotemporal Analysis for Landslide Susceptibility Mapping in the Hindu Kush Himalayan Region Save
- Charting the future of coastal resilience: A three-decade global exploration of coastal vulnerability science and strategic gaps Save
- Landslide susceptibility mapping using a machine learning approach and different environmental factors in the Western Ghats region (India) Save