Assist. Prof. Dr. Ni Jiacheng | Radar Imaging Awards | Best Researcher Award

Assist. Prof. Dr. Ni Jiacheng, Air Force Engineering University, China

Jia-cheng Ni. He earned both his M.S. and Ph.D. degrees in electrical engineering from the Air Force Engineering University (AFEU) in Xi’an, China, in 2014 and 2018, respectively. Currently, he is affiliated with the Radar and Signal Processing Laboratory at the Institute of Information and Navigation, AFEU, as well as the Collaborative Innovation Center of Information Sensing and Understanding. His research interests focus on sparse signal processing, Synthetic Aperture Radar (SAR) imaging, and Automatic Target Recognition (ATR), contributing to advancements in radar technology and its applications in various fields.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Dr. Jia-cheng Ni

Profile: Dr. Jia-cheng Ni, born in Shaanxi, China, in 1990, is a prominent researcher in the field of electrical engineering. He holds both a Master’s degree and a Ph.D. from the Air Force Engineering University (AFEU), where he has established a robust academic and research foundation. Currently associated with the Radar and Signal Processing Laboratory at AFEU, Dr. Ni is also a member of the Collaborative Innovation Center of Information Sensing and Understanding.

Education and Work Experience

M.S. Degree in Electrical Engineering
- Institution: Air Force Engineering University (AFEU), Xi’an, China
- Year: 2014 🎓
Ph.D. Degree in Electrical Engineering
- Institution: Air Force Engineering University (AFEU), Xi’an, China
- Year: 2018 🎓
Current Position:
- Affiliation: Radar and Signal Processing Laboratory, Institute of Information and Navigation, AFEU
- Collaboration: Collaborative Innovation Center of Information Sensing and Understanding 🏢

Achievements, Awards and Honors

Research Focus:
- Sparse Signal Processing 📊
- Synthetic Aperture Radar (SAR) Imaging 🌌
- Automatic Target Recognition (ATR) 🎯
Awards and Honors:
- Received recognition for contributions to research in signal processing and imaging technology 🏆
- Published multiple papers in renowned journals and conferences, showcasing advancements in SAR imaging techniques 📚
- Honored for collaboration in innovative projects within the Collaborative Innovation Center of Information Sensing and Understanding 🤝

Publication Top Notes

Nonsparse SAR Scene Imaging Network Based on Sparse Representation and Approximate Observations

An ISAR Shape Deception Jamming Method Based on Template Multiplication and Time Delay

Correction of Range-Variant Motion Error and Residual RCM in Sparse Regularization SAR Imaging

Sparse SAR Imaging Method for Ground Moving Target via GMTSI-Net

Omega-KA-Net: A SAR Ground Moving Target Imaging Network Based on Trainable Omega-K Algorithm and Sparse Optimization

Prof. Han Zhai, China University of Geosciences, China

Han Zhai is an Associate Professor in the Department of Geography at the School of Geography and Information Engineering, China University of Geosciences, Wuhan, China. He earned his Ph.D. in Engineering from Wuhan University in June 2019, where he specialized in photogrammetry and remote sensing. Prior to this, he completed his Bachelor’s degree in Engineering with a major in remote sensing science and technology from Shandong University of Science and Technology in June 2014. Since joining the China University of Geosciences in July 2019, Dr. Zhai has focused his research on hyperspectral image processing, remote sensing image information extraction and application, cloud detection, urbanization, and land use and land cover monitoring and simulation. His work aims to advance the understanding and application of remote sensing technologies in various environmental and urban contexts.

Educational Background 🎓

Ph.D. in Engineering (2019)
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University
Major: Photogrammetry and Remote Sensing

Bachelor’s Degree in Engineering (2014)
College of Geodesy and Geomatics, Shandong University of Science and Technology
Major: Remote Sensing Science and Technology