Session Title
5_FocusSession.SC5: Machine Learning for Electromagnetic Inverse Problems 1
Session Organizers
Zhun Wei
Prof.
Zhejiang University
Session Information
Submitted Articles
Presenting Author
Talk Time | Paper Title | Authors | Abstract
Qi-Jun Zhang
Prof.
Carleton University
08:00 | Advances in Artificial Neural Network Techniques for Inverse Modeling of Microwave Components |
Keynote | Jing Jin(Tianjin University), Qi-Jun Zhang(Carleton University) |
Rui Chen
Dr.
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) |
Feng Han
Dr.
Xiamen 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) |
Keeley Edwards
Miss
University of Manitoba
08:30 | 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) |
Mahta Moghaddam
Prof.
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) |
Jelena Vuckovic
Prof.
Stanford University
08:40 | Scalable Semiconductor Classical and Quantum Photonic Systems |
Keynote | Jelena Vuckovic(Stanford University) |
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