Overview

A groundbreaking synthesis of science, technology, and geopolitics, this book delivers an unprecedented analysis of the Grand Ethiopian Renaissance Dam (GERD). Leveraging advanced quantum computing, radar interferometry, and remote sensing—including Sentinel-1, ICEYE, and TerraSAR-X—this work reveals hidden structural vulnerabilities in GERD and models catastrophic breach scenarios. Featuring the original Marghany Hologram-TomoSAR algorithm and new quantum phase unwrapping methods, it offers critical insights into environmental, engineering, and military dimensions. From sediment saturation to seismic risk, and from biblical prophecy to regional diplomacy, this book challenges conventional narratives and opens new frontiers in monitoring, forecasting, and strategic response to GERD's evolving dynamics.

Full Product Details

Author:   Maged Marghany
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.630kg
ISBN:  

9781032355344

ISBN 10:   1032355344
Pages:   420
Publication Date:   21 October 2025
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Preface. Fundamental Principles of Dam Construction and Their Environmental and Societal Impacts. Grand Ethiopian Renaissance Dam Construction Plans and Surrounding Geological Environment. Utilizing Quantized Maxwell’s Equations for Remote Sensing and Imaging of the Grand Ethiopian Renaissance Dam (GERD). Quantum Spectral Signature of the Grand Ethiopian Renaissance Dam Construction and its Surrounding Geological Features. Quantum Support Vector Machine for Simulating Sedimentation Concentration in the GERD Reservoir. Advanced Quantum Image Processing for Automatic Lineament and Fault Detection along GERD Using Multispectral Remote Sensing Data. Fundamentals of Microwave Altimetry: Analyzing Satellite Data. Modeling Water Height Level Variations in Lake Millennium Using Advanced Interferometry Altimeter Satellite Data. Unveiling Dam Turbulence and Efficiency Using Marghany’s Quantum-Optimized Multi-Objective Algorithm in SAR Imaging. Quantum Along-Track Interferometry: Modeling Downstream Flows and Water Discharge Using TanDEM-X Data. Quantum Convolutional Neural Network for Monitoring Deformation of the Grand Ethiopian Renaissance Dam Using Persistent Scatterer Interferometry Technique. Four-Dimensional Marghany Hologram-TomoSAR Algorithm and Quantum Machine Learning for Monitoring and Forecasting Dam Failures. Index. About the Author.

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Author Information

Professor Dr. Maged Marghany, the visionary behind the innovative theory titled “Quantized Marghany’s Front”, is the Director at Safanad Information Technology in Malaysia. Dr. Marghany has been listed among the top 2% of scientists for five consecutive years—2020, 2021, 2022, 2023, and 2024 by Stanford University. Furthermore, his profound impact is reflected in the recognition of two of his books, acknowledged as being among the best genetic algorithm books of all time. Dr. Marghany's ongoing commitment continues to shape the landscape of scientific thought and geoinformation expertise. Additionally, Dr. Maged Marghany has achieved the remarkable distinction of being ranked first among oil spill scientists in a global list in the last fifty years. The list spanning the last fifty years was compiled by the prestigious Universidade Estadual de Feira de Santana in Brazil. He is also a distinguished visiting professor at Malikussaleh University and other universities in Indonesia. In previous roles, Dr. Marghany has directed some institutions in Malaysia. His educational journey includes a post-doctoral degree in radar remote sensing, a PhD in environmental remote sensing, and a Master of Science in physical oceanography. With over 250 papers and influential books like “Advanced Remote Sensing Technology for Tsunami Modeling and Forecasting”, Dr. Marghany's significant contributions shape global perspectives in remote sensing, geospatial applications, and environmental science.

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