Professor, Nanjing University of Aeronautics and Astronautics, China
Professor Xinhua Mao is a leading expert in signal processing, currently serving as a Professor at Nanjing University of Aeronautics and Astronautics (NUAA), China. With over two decades of academic and research excellence, he has made substantial contributions in the areas of synthetic aperture radar (SAR) imaging and adaptive signal processing. Recognized for his innovation and technical depth, Prof. Mao continues to advance research in cutting-edge radar signal algorithms and imaging systems.
Publication Profile
Scopus
🎓 Education Background
Prof. Mao completed both his undergraduate (1999–2003) and doctoral (2004–2009) studies at Nanjing University of Aeronautics and Astronautics, earning his Ph.D. in Signal Processing. His deep-rooted academic training laid the foundation for a remarkable career in radar systems and array signal processing.
👨🏫 Professional Experience
Prof. Mao began his academic career at NUAA as a Lecturer and Postdoctoral researcher (2009–2011), later becoming an Associate Professor (2011–2020), and was promoted to Professor in 2020. In 2013, he was a Visiting Scholar at Villanova University in the United States, further enriching his international academic exposure.
🏆 Awards and Honors
Professor Mao has been honored with numerous prestigious awards, including the National Science and Technology Progress Award (2nd Class) in 2019 and the National Defense Science and Technology Invention Award (2nd Class) in 2015. He also won the Best Paper Award at AP-SAR 2015 and was a Best Paper Finalist at ISAP 2017. Additionally, he was recognized as an Excellent Young Teacher of Jiangsu Province and received the Science Fund for Excellent Young Scholars.
🔬 Research Focus
His research primarily focuses on synthetic aperture imaging (SAR), space-time adaptive processing, and array signal processing. Specific interests include SAR image formation algorithms, motion compensation, and 2D autofocus techniques. His work has contributed to significant advancements in radar imaging under complex motion conditions.
🧩 Conclusion
Through his innovative contributions, extensive research funding, and high-impact publications, Professor Xinhua Mao stands as a key figure in signal processing and radar imaging. His academic and scientific endeavors continue to push boundaries, establishing him as a thought leader in the global radar research community.
📚 Top Publications by Prof. Xinhua Mao
Modified Time-domain Backprojection Algorithm for SAR Frequency-domain Autofocus
IEEE Transactions on Geoscience and Remote Sensing, 2025
➤ Cited by: 3 articles
Wavenumber Domain 2-D Separable Data Reformatting Algorithm for High Squint Spotlight SAR
IEEE Transactions on Computational Imaging, Vol.11, 2025
➤ Cited by: 2 articles
Two-Stage Correction for Wavefront Curvature Effects of PFA in Focusing Nonideal Circular SAR Data
IEEE Transactions on Aerospace and Electronic Systems, Vol.61(1), 2025
➤ Cited by: 4 articles
Spherical Geometry Algorithm for Spaceborne Synthetic Aperture Radar Imaging
IEEE Transactions on Geoscience and Remote Sensing, Vol.62, 2024
➤ Cited by: 6 articles
Sub-Aperture Polar Format Algorithm for Curved Trajectory Millimeter Wave Radar Imaging
IEEE Transactions on Radar Systems, Vol.2, 2024
➤ Cited by: 5 articles
Efficient BiSAR PFA Wavefront Curvature Compensation for Arbitrary Radar Flight Trajectories
IEEE Transactions on Geoscience and Remote Sensing, Vol.61, 2023
➤ Cited by: 12 articles
Parametric Model-Based 2-D Autofocus Approach for General BiSAR Filtered Backprojection Imagery
IEEE Transactions on Geoscience and Remote Sensing, Vol.60, 2022
➤ Cited by: 19 articles
Structure-aided 2-D Autofocus for Airborne Bistatic Synthetic Aperture Radar
IEEE Transactions on Geoscience and Remote Sensing, Vol.59(9), 2021
➤ Cited by: 22 articles
Knowledge-aided 2-D Autofocus for Spotlight SAR Filtered Backprojection Imagery
IEEE Transactions on Geoscience and Remote Sensing, Vol.57(11), 2019
➤ Cited by: 55 articles
Knowledge-aided 2-D Autofocus for Spotlight SAR Range Migration Algorithm Imagery
IEEE Transactions on Geoscience and Remote Sensing, Vol. 56, No. 9, 201
➤ Cited by: 29 articles