This book provides a groundbreaking exploration of satellite remote sensing's role in tracking the mobility and spread of COVID-19, focusing on its origin in Wuhan City. It addresses the gap in research by employing advanced techniques like quantum image processing to analyze satellite data and differentiate between COVID-19-related deaths and other causes. Additionally, it explores conspiracy theories, vaccine development through quantum mechanics, and the use of quantum computing for detecting pandemic patterns. The book also delves into the economic impact of COVID-19, offering a scientific response to geopolitical tensions and media accusations surrounding the pandemic's origins.
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Distinguished 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 four consecutive years―2020, 2021, 2023, 2024 by Stanford University. Furthermore, his profound impact is reflected in the recognition of two of his books, acknowledged 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 achieved the remarkable distinction of being ranked first among oil spill scientists in a global list spanning the last 50 years, compiled by the prestigious Universidade Estadual de Feira de Santana in Brazil. He was also a prominent visiting professor at Syiah Kuala University in Indonesia.
In previous roles, Dr. Marghany directed the Institute of Geospatial Applications at the University of Geomatica College. 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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