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