Assoc. Prof. Dr. Sha Huan , supervisor , guangzhou university, China.
Dr. Sha Huan is an accomplished Associate Professor at the School of Electronics and Communication Engineering, Guangzhou University. She earned her Ph.D. in Electromagnetic Field and Microwave Technique from Beijing Institute of Technology and has established herself as a leader in radar signal processing and machine learning applications. Prior to joining academia, she served as a Senior Engineer at the Beijing Institute of Radio Measurement. With a profound commitment to innovation, she has authored numerous high-impact publications and holds over 50 patents. Her research excellence and collaborative engagements reflect her dedication to advancing intelligent perception and anti-jamming radar technologies.
Publication Profile
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🎓 Education Background
Sha Huan received her B.Eng. degree in Information Engineering in 2006 and her Ph.D. in Electromagnetic Field and Microwave Technique in 2012 from the prestigious Beijing Institute of Technology, China. Her academic training laid a solid foundation in radar signal processing, high-resolution imaging, and microwave techniques. These academic achievements were instrumental in shaping her expertise in complex signal environments and laid the groundwork for her successful transition from engineering to academic leadership. Her continued involvement in interdisciplinary research showcases her commitment to learning and pushing boundaries within radar technology and intelligent systems.
🏢 Professional Experience
From 2012 to 2017, Dr. Sha Huan served as a Senior Engineer at the Beijing Institute of Radio Measurement, where she gained extensive industry experience in radar system design and interference suppression. She later transitioned into academia and is now an Associate Professor at Guangzhou University. At the university, she leads cutting-edge research in the School of Electronics and Communication Engineering, mentoring students and collaborating with institutions such as Sun Yat-sen University and Foshan University. Her diverse experience bridges both academic and industrial domains, enhancing her credibility in innovation and applied research.
🏆 Awards and Honors
Dr. Sha Huan’s contributions to radar imaging and machine learning have been recognized through numerous published patents and high citation indices. Although specific award titles are not listed, her recognition stems from her outstanding patent portfolio (55 patents), significant publication output (18 journal articles), and impactful collaborations. Her work has earned citations across the global research community, reflecting its relevance and influence. Her recent advancements in intelligent jamming countermeasures position her as a leading figure in radar signal research, potentially qualifying her for prestigious recognitions such as the Best Researcher Award.
🔬 Research Focus
Dr. Sha Huan’s research spans intelligent perception, machine learning, high-resolution radar imaging, and radar anti-jamming processing. She has pioneered the development of a Complex-Valued Encoder-Decoder Network for counteracting interrupted sampling repeater jamming (ISRJ), showcasing innovations in complex signal processing. Her work integrates deep learning architectures with physical signal models to maintain amplitude and phase integrity while enhancing target detection capabilities. Her collaborative efforts and high-quality publications emphasize multi-domain feature extraction and signal fidelity, marking significant advancements in radar intelligence and secure communication systems.
📌 Conclusion
Dr. Sha Huan is a forward-thinking radar scientist who has seamlessly merged academic excellence with real-world impact. Her pioneering contributions to jamming suppression, robust imaging, and intelligent systems have set new benchmarks in electromagnetic research. With a robust background in engineering, a strong academic career, and significant contributions to the scientific community, she is a prime candidate for the Best Researcher Award. Her dedication, innovation, and collaborative spirit highlight her as a role model in advanced radar and communication technologies.
📚 Top Publications with Details
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Radar human activity recognition with an attention-based deep learning network
Published in: Sensors, 2023
Cited by: 28 articles
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A lightweight hybrid vision transformer network for radar-based human activity recognition
Published in: Scientific Reports, 2023
Cited by: 25 articles
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Bayesian compress sensing based countermeasure scheme against the interrupted sampling repeater jamming
Published in: Sensors, 2019
Cited by: 24 articles
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Orthogonal chirp division multiplexing waveform for mmWave joint radar and communication
Published in: IET International Radar Conference, 2020
Cited by: 12 articles
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A compact LTCC Transmit Receive module at Ku-band
Published in: 2010 IEEE International Conference on Microwave and Millimeter Wave Technology
Cited by: 10 articles
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Random stepped-frequency SAR imagery with full cell Doppler coherent processing
Published in: IEEE Geoscience and Remote Sensing Letters, 2021
Cited by: 9 articles
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Structure-guaranteed SAR imagery via spatially-variant morphology regularization in ADMM manner
Published in: IEEE Transactions on Geoscience and Remote Sensing, 2022
Cited by: 7 articles
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Low elevation angle estimation with range super-resolution in wideband radar
Published in: Sensors, 2020
Cited by: 7 articles