PhotonIcs and Electromagnetics Research Symposium, also known as Progress In Electromagnetics Research Symposium
Focus & Special Sessions
5_FocusSession.SC5: Machine Learning for Electromagnetic Inverse Problems 1
National University of Singapore
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.
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.
|08:00||Advances in Artificial Neural Network Techniques for Inverse Modeling of Microwave Components|
|Keynote||Jing Jin(Tianjin University), Qi-Jun Zhang(Carleton University)|
Sun Yat-Sen University
|09:55||Focus Shaping Using Untrained Artificial Neural Network|
|Ze-Yang Chen(Sun Yat-sen University), Zhun Wei(Zhejiang University), Rui Chen(Sun Yat-Sen University)|
|09:40||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)|
University of Manitoba
University of Southern California
|09:10||Latest Advances in Learning-assisted Information Retrieval from Microwave Observations in Biomedical Inverse Scattering and Environmental Sensing|
|Keynote||Mahta Moghaddam(University of Southern California)|
|08:40||Scalable Semiconductor Classical and Quantum Photonic Systems|
|Keynote||Jelena Vuckovic(Stanford University)|
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