Dr. Rajeev Ranjan

Expert in disaster risk mitigation using remote sensing and AI

location_on Germany

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Research Scholar GIS Specialist AI Developer Hydrology Expert Mentor Industry Contributor

Hydraulic Engineering Machine Learning Neural Networks Regional Planning & Development Civil Engineering System Dynamics Deep Learning Remote Sensing Artificial Intelligence Environmental Engineering and Technology

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Doctorate confirmed

Doctoral Specialization: Water Resources Engineering · Indian Institute of Technology Delhi

Affiliation confirmed

Guest Researcher-AROP Fellow · RWTH Aachen University

Publication record confirmed

37 published works

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About Rajeev

Rajeev Ranjan is an accomplished researcher specializing in the application of remote sensing and AI models for disaster risk mitigation amidst climate change. With a deep expertise in hydrology and water resources management, his work transcends theoretical approaches, focusing on practical, data-driven solutions applicable worldwide. As a seasoned mentor, Rajeev brings invaluable insights to the intersection of climate, land conditions, and water dynamics, making significant contributions in data-limited regions. He continues to pioneer innovative methods to advance the understanding and integration of geospatial data across diverse interdisciplinary challenges.

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Data & AI

Support with contracts, intellectual property, risk assessment, and legal strategy—non-litigation advisory services.

Predictive Modeling

Building models that forecast future outcomes using historical data, machine learning, or statistical approaches.

Data & AI

Harness the power of data and artificial intelligence to solve complex problems and enhance decision-making. Our data-driven solutions include predictive analytics, machine learning, and AI development to help you unlock new opportunities, optimize operations, and gain a competitive edge.

Research

Gain insights and make informed decisions with our expert research services. We offer in-depth market research, data analysis, and academic studies to support your strategic goals. Whether you're exploring trends, evaluating competitors, or understanding customer needs, we provide the knowledge you need to move forward.

Feasibility Study

Comprehensive assessment of the practicality, risks, and potential outcomes of a proposed project, idea, or product.

Expertise

check_circle Hydraulic Engineering

check_circle Machine Learning

check_circle Neural Networks

check_circle Regional Planning & Development

check_circle Civil Engineering

check_circle System Dynamics

check_circle Deep Learning

check_circle Remote Sensing

check_circle Artificial Intelligence

check_circle Environmental Engineering and Technology

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Profile Details

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Member since

2026
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Location

Germany
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Languages

English, Hindi
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Available
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$100

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Dr. Rajeev Ranjan

About Rajeev

Services Offered

Data & AI

Predictive Modeling

Data & AI

Research

Feasibility Study

Expertise

Professional Summary

Work History

Guest Researcher-AROP Fellow

Teaching Assistant

Senior Research Fellow Cum Teaching Assistant – Doctoral

External GIS Consultant

External GIS Consultant

Junior Research Fellow Cum Teaching Assistant – Doctoral

Junior Research Fellow Cum Teaching Assistant

Teaching Assistant

Teaching Assistant

Education Summary

Education History

Doctoral Specialization: Water Resources Engineering

Master in Technology in Remote Sensing

Bachelors in Technology

Publications Summary

Published Works

Integrating Remote Sensing and Artificial Intelligence based Techniques for Investigating Regional Flood Susceptibility to Improve Flood Mitigation Planning

Modeling Snow Avalanche Flow Dynamics Using RAMMS: A Case Study of Solang Valley and Alaknanda Basin

Dynamic Flood Risk Assessment Under Climate Change Scenarios: Integrating Socioeconomic Exposure, Adaptive Capacity, and Non-Stationary Hazard Projection

Comparative Performance of Random Forest and Convolutional Neural Networks Using Normalized Inputs and Weak Supervision Against Expert-Based AHP Benchmarks for Improved Regional Flood Susceptibility Under Climate Change

Bridging Data Scarcity and Sparsity: Integrating Process-based hydrological modeling with Percentile based Dam Outflow for Reservoir Operation and Extreme Hydrological Prediction Under Climate Change

Integrating SAR-Based Band-Ratio Indices and Terrain Attributes with Geometric Boundary Refinement Approach in a Random Forest Framework for Improved Flood Inundation Mapping

Assimilating Multi-Source Remote Sensing Observations into Hydraulic Model for Basin-Scale Extreme Flood Prediction

Leveraging Advanced Remote Sensing with Machine Learning and Geospatial Techniques for Spatio-Temporal Monitoring of Lake Water Dynamics in Inaccessible and Data-Scarce Catchments

Improving Flood Inundation Mapping in Label-Scarce Environments: A Comparative Study of Supervised and Self-Supervised CNN-UNet Deep Learning Approach

A Comprehensive Assessment of Floodwater Depth Models During Extreme Flood Events in Channel Country River System

Dynamic Flood Inundation Mapping in Data-Scarce Regions Using Synthetic Rating Curve, HAND Terrain Analysis, and Sentinel-1 SAR Data Assimilation

AHP-Based Snow Avalanche Susceptibility Mapping in Himalayan Terrain Using Remote Sensing-Derived Static Parameters and Hydrological Model-Based Dynamic Parameters: In-Situ Validation and Runout Prediction Using RAMMS

Integrating Hydrological and Hydraulic Modeling with Unsupervised Clustering for Objective Flood Hazard Index Classification in Dam-Downstream Floodplains under Climate Change

Simulation of Streamflow in a Snow-fed River Basin Using Coupled Snowmelt–Hydrological Modelling: Assessing the Impact of Snow Hydrology on Lean-Period Streamflow Dynamics

Integrating Remote Sensing, GIS and Machine Learning Techniques for Assessing Groundwater Availability

Integrating Remote Sensing, GIS and Machine Learning Techniques for Assessing Groundwater Availability

Integrating Remote Sensing, GIS and Machine Learning Techniques for Assessing Groundwater Availability

Feature Extraction at Pixel Level from UAV Data using Artificial Intelligence for Improved Flood Management

SAR Scattering Mechanism-Sensitive Indices: An Approach Beyond Binary Flood Maps in Heterogeneous Landscapes for Improved Confidence Flood Probability Mapping

Integrating Remote Sensing and Artificial Intelligence based Techniques for Investigating Regional Flood Susceptibility to Improve Flood Mitigation Planning

Analysis of Backscatter Response Using Traditional C-Band SAR Data: Integration with Optical and Unconventional SAR data For Rapid Flood Mapping

Investigating Terrain-based Approaches for Flood Extent Delineation Using Remote Sensing for Data-Scarce Regions

Investigating Terrain-based Approaches for Flood Extent Delineation Using Remote Sensing for Data-Scarce Regions

Pixel level features extraction from UAV data for improved flood management

Process-based Hydrological Modeling to Analyse Sub-basin Response Under Extreme Rainfall Events in Koyna River Basin, Maharashtra

Flood Monitoring Using Google Earth Engine Cloud-based Geospatial Platform: A Case Study of 2019. Flood Event in Lower Ganga River Basin, Bihar

Ethiopia basin scale hydrological assessment

Investigation of basin characteristics: Implications for sub-basin- level vulnerability to flood peak generation

Synergistic analysis of satellite unmanned aerial vehicle, terrestrial laser scanner data and process- based modelling for understanding the dynamics and morphological changes around the snout of Gangotri Glacier, India

Ethiopia’s Water Resources: An Assessment Based on Geospatial Data-Driven Distributed Hydrological Modeling Approach

Landslide susceptibility mapping using integrated approach of multi-criteria and geospatial techniques at Nilgiris district of India

Flood vulnerability assessment using an integrated approach of multi-criteria decision-making model and geospatial techniques

Integrated Hydrological Study of August 2018 Kerala Floods using Remote Sensing and Hydrological Modelling

Synergistic Use of Remote Sensing, and GIS and Hydrological Models for Study of August 2018 Kerala Floods

Kerala 2018 flood event

Flood Simulation and Inundation Modelling Using Hydrological Model and HAND Tool for Jhelum River Basin

Detection of Drought and Flood like Condition in Brahmani & Baitarani River basins

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