Synthetic Aperture Radar Imaging Mechanism for Oil Spills

Distinguished Professor Dr. Maged Marghany, the visionary behind the innovative theory titled "Quantized Marghany’s Front," currently holds the esteemed position of Director at Global Geoinformation in Malaysia. Acknowledged globally for his exceptional contributions, Dr. Marghany achieved recognition by Stanford University, USA, by being listed among the top 2% of scientists for four consecutive years - 2020, 2021, 2022, and 2023. Furthermore, his profound impact is reflected in the recognition of two of his books, which were acknowledged among the best genetic algorithm books of all time. Dr. Marghany's ongoing commitment to excellence 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. His expertise also extended to the role of 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," Dr. Marghany ‘s significant contributions shape global perspectives in remote sensing, geospatial applications, and environmental science.

1. Quantum of oil spill2. Principles of maxwell’s equations3. Quantization of maxwell’s equations4. Quantum description of twisted electromagnetic wave propagation5. Quantized of scattering theory6. Quantum description of sea surface7. Quantum of radar theory8. Principle theories of synthetic aperture radar9. Quantum theory for imaging oil spill from synthetic aperture radar10. Principles of genetic algorithm11. Automatic detection of oil spill from sar satellite data using genetic algorithm12. Multi-objective evolutionary algorithm for monitoring oil spill spreading level 13. Quantum immune fast spectral clustering for automatic detection of oil spill14. Four-dimensional hologram interferometry for oil spill automatic detection