PIER Journals
PhotonIcs and Electromagnetics Research Symposium, also known as Progress In Electromagnetics Research Symposium
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PIERS —— A global symposium committed to
advancing photonics and electromagnetics for the benefit of humanity.

Electromagnetic Quantitative Imaging via Machine Learning

Session Organizers

Xudong Chen
National University of Singapore
Tiantian Yin
National University of Singapore

Session Chairs

Xudong Chen
National University of Singapore
Tiantian Yin
National University of Singapore

Session Infomation

The session welcomes all papers that are related to learning methods to electromagnetic quantitative imaging problems. The session aims at presenting frontier research in the theories, computations, and applications of machine learning for solving electromagnetic quantitative imaging problems. Traditional electromagnetic quantitative imaging approaches include FFT-based, linear equation-based, and full-wave solvers. Different combinations of machine learning techniques and traditional quantitative imaging approaches are welcomed. Applications include but not limited to microwave imaging, through-wall-imaging, subsurface detection, electric impedance or capacitance tomography, biomedical imaging, non-destructive testing/evaluation, remote sensing, phaseless imaging, and millimetre-wave short-range imaging.

Submitted Articles

Note: The following submitted articles are not guaranteed to be scheduled in the final program at this stage. The final presentation type and arranged session will be decided by Technical Program Committee.
Note: +: Presenting Author, *: Corresponding Author
Presenting Author Talk Time Paper Title | Authors | Abstract Session Date / Room
15:00
Onsite
Invited
Machine Learning-based Imaging through Scattering Media
+*Wen Chen (The Hong Kong Polytechnic University)
1P_13b
2024-04-22
PM
Room: 13 - Siji 2
15:20
Onsite
Invited
Effects of Physics-guided Loss Functions Ondeep Learning Performance in Inverse Scattering
+*Zicheng Liu (Northwestern Polytechnical University), Dilip K. Prasad (UiT --- The Arctic University of Norway), Krishna Agarwal (UiT The Arctic University of Norway)
1P_13b
2024-04-22
PM
Room: 13 - Siji 2
15:40Coffee Break
16:00
Onsite
A Kalman Filtering Framework of Dynamic Microwave Tomographic Imaging
+Yahui Ding (University of Electronic Science and Technology of China), *Yifan Chen (University of Electronic Science and Technology of China)
1P_13b
2024-04-22
PM
Room: 13 - Siji 2
16:15
Onsite
Invited
Microwave Vision and the Intelligent Perception of Radar Imagery
+*Feng Xu (Fudan University), Ya-Qiu Jin (Fudan University)
1P_13b
2024-04-22
PM
Room: 13 - Siji 2
16:35
Onsite
Invited
A Comparative Study on Deep Learning Accelerated Computational Electromagnetic Solvers
+*Xiao-Min Pan (Beijing Institute of Technology), Xinyue Lou (Beijing Institute of Technology), Jiyuan Wang (Beijing Institute of Technology), Junbo Zhang (Beijing Institute of Technology)
1P_13b
2024-04-22
PM
Room: 13 - Siji 2
16:55
Onsite
Invited
Physics-informed Neural Network-based Inverse Scattering Method and Its Application in Antenna
Yi-Di Hu (University of Electronic Science and Technology of China), Hui Zhou (University of Electronic Science and Technology of China), +*Xiao-Hua Wang (University of Electronic Science and Technology of China)
1P_13b
2024-04-22
PM
Room: 13 - Siji 2
17:15
Onsite
Invited
A Learning Method based on Far-field Approximation for Radar Imaging
+*Xudong Chen (National University of Singapore), Tiantian Yin (National University of Singapore)
1P_13b
2024-04-22
PM
Room: 13 - Siji 2
17:35
Onsite
Analysis of Defocusing Effect due to Array Deformation for Millimeter Wave Near-field Multistatic Imaging
+*Xianzhong Tian (National University of Singapore), Yongxin Guo (National University of Singapore)
1P_13b
2024-04-22
PM
Room: 13 - Siji 2

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