1.Brief Profile
Li DING, Associate Professor, School of Optical-Electrical and Computer Engineering
Dr. DING Li is currently in the School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology (USST). She received her Bachelor and Master degrees from the University of Electronic Science and Technology of China in 2008 and 2011, respectively. She received her Ph. D degree from the University of Science and Technology of China in 2014.
Her primary research is focused on MMW/THz imaging and image processing. Comprehensive theoretical simulations, novel experimental processes and implementation of imaging/image technology are being carried out to investigate in detail how MMW/THz imagers can see well the concealed objects. Research activities include high-resolution imaging technology to improve the performance of original images and the image processing to enhance the image quality and to recognize and classify the objects from those 3-D images.
So far, her researches have been supported by the National key R&D Program of China (2018YFF01013003), the National Natural Science Foundation of China (61731020, 61605113), and the Natural Science Foundation of Shanghai (16ZR1423100).
2. Research Area
Current Projects
- Research on Terahertz safety inspection imaging of non-cooperative target with high frame rate and spatial resolution.
- Research on MMW/THz image restoration and automatic target recognition based on machine learning, deep learning, etc.
- Research on the solutions of sparse recovery techniques with application to Terahertz distributed imaging.
- Research on the key front-end modules of Terahertz imagery for wide-view scanning.
Publications (2018-2020)
「1」S. Wu, L. Ding*, P. Li, etc., “Millimeter Wave SAR Sparse Imaging with 2-D Spatially Pseudo-random Spiral-sampling Pattern”, IEEE Trans. on Microwave Theory and Techniques, doi: 10.1109/TMTT.2020.3003033.
「2」G. Ye, Z. Zhang, L. Ding*, etc., “GAN-based Focusing-enhancement Method for Monochromatic Synthetic Aperture Imaging”, IEEE Sensors Journal, doi: 10.1109/JSEN.2020.2996656.
「3」L. Ding, S. Wu, P. Li, Y. Zhu, “Millimeter-wave Sparse Imaging for Concealed Objects Based on Sparse Range Migration Algorithm”, IEEE Sensors Journal, 2019, 16(19):6721-6728.
「4」L. Ding, Y. Ye, G. Ye, Y. Zhu, “Bistatic Synthetic Aperture Radar with Undersampling for Terahertz 2-D Near-Field Imaging”, IEEE Trans. on Terahertz Science and Technology, 2018, 8(2):174-182.
「5」L. Ding, S. Wu, X. Ding, Y. Zhu, “Off-the-Grid Sparse Imaging by One Dimensional Sparse MIMO Array”, IEEE Sensors Journal, 2018:1-1.
「6」L. Ding, Y. Ye, G. Ye, Y. Zhu, “ Terahertz Bistatic Synthetic Aperture Radar for 1-D Near-Field High-resolution Imaging”, Journal of Infrared, Millimeter and Terahertz Waves, 2018, 39(11):1162-1173.
3. Contact Information
Email: sunnylding@usst.edu.cn
