PhotonIcs and Electromagnetics Research Symposium, also known as Progress In Electromagnetics Research Symposium
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5_FocusSession.SC5: Machine Learning for Electromagnetic Inverse Problems 1

Session Organizers

Zhun Wei
Zhejiang University
China
Xudong Chen
National University of Singapore
Singapore

Session Chairs

Zhun Wei
Zhejiang University
China
Xudong Chen
National University of Singapore
Singapore

Session Infomation

The session welcomes all papers that are related to learning approach to electromagnetic inverse problems. Both types of inverse problems are within the scope of the session, i.e., parameter identification and inverse design. The former usually presents unique ground truth, such as in inverse scattering, localization, and CT imaging. The latter usually admits multiple solutions, such as design of photonic crystal, antenna design, and array synthesis. The session aims at presenting frontier research in the theories, computations, and applications of machine learning for solving electromagnetic inverse problems. All types of learning algorithms are welcomed: supervised and semi-supervised learning, unsupervised learning, and reinforcement learning. Uncertainty quantification (UQ) analysis is also an important topic of this session. Applications include but not limited to microwave imaging, through-wall-imaging, non-line-of-sight imaging, subsurface detection, electric impedance or capacitance tomography, biomedical imaging, near-field optical imaging, non-destructive testing/evaluation, and remote sensing.

Submitted Articles

Kindly be aware that this is not the final version and the date/time of presentations may be slightly adjusted. The date for each talk will be finalized in Advance Program by 5 October, 2021. The time for each talk will be finalized in Final Program by 20 October, 2021.
Presenting Author Talk Time Paper Title | Authors | Abstract Session Date / Room
00:00
Web
Keynote
Advances in Artificial Neural Network Techniques for Inverse Modeling of Microwave Components
Jing Jin (Tianjin University) *Qi-Jun Zhang (Carleton University)
1A_12
2022-04-25
AM
Room: 12 - Mingdu Hall 2
00:00
Web
Machine-learning-accelerated Calibration of Electromagnetic Grain Monitoring Systems
*Keeley Edwards (University of Manitoba) Eungjoo Kim (University of Manitoba) Joe LoVetri (University of Manitoba) Ian Jeffrey (University of Manitoba) Colin Gilmore (University of Manitoba)
1A_12
2022-04-25
AM
Room: 12 - Mingdu Hall 2
00:00
Web
Keynote
Scalable Semiconductor Classical and Quantum Photonic Systems
*Jelena Vuckovic (Stanford University)
1A_12
2022-04-25
AM
Room: 12 - Mingdu Hall 2
00:00
Web
Keynote
Latest Advances in Learning-assisted Information Retrieval from Microwave Observations in Biomedical Inverse Scattering and Environmental Sensing
*Mahta Moghaddam (University of Southern California)
1A_12
2022-04-25
AM
Room: 12 - Mingdu Hall 2
00:00
Onsite
A Tailored Semi-physics-driven Artificial Neural Network for Electromagnetic Full-wave Inversion
*Feng Han (Xiamen University) Yanjin Chen (Xiamen University) Miao Zhong (Xiamen University) Zhen Guan (Xiamen University)
1A_12
2022-04-25
AM
Room: 12 - Mingdu Hall 2
00:00
Onsite
Focus Shaping Using Untrained Artificial Neural Network
Ze-Yang Chen (Sun Yat-sen University) Zhun Wei (Zhejiang University) *Rui Chen (Sun Yat-Sen University)
1A_12
2022-04-25
AM
Room: 12 - Mingdu Hall 2

Contact us

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