10-15 July 2022 • Denver, Colorado, USA

IEEE AP-S/URSI 2022

10-15 July 2022 • Denver, Colorado, USA

MO-SP.1P.7

Inverse GRIN Lens Design Using Artificial Neural Network and Geometrical Optics

Wei Wang, Jiahao Huang, Hassna Ouassal, Jonathan Chisum, University of Notre Dame, United States
Session:
Design and Optimization of Antennas using Machine Learning
Track:
Special Sessions
Location:
Centennial A/B/C (HR)
Presentation Time:
Mon, 11 Jul, 15:40 - 16:00 Denver Time (UTC -7)
Session Co-Chairs:
Peiqin Liu, National University of Singapore and Zhi Ning Chen, National University of Singapore
Presentation
Discussion
Session MO-SP.1P
MO-SP.1P.1: A Beam-Splitting Metasurface Designed by Optimization & Machine-Learning
Parinaz Naseri, Stewart Pearson, Sean V. Hum, University of Toronto, Canada
MO-SP.1P.2: Array Control Via Convolutional Neural Networks
Garrett Harris, Michael A. Saville, Wright State University, United States
MO-SP.1P.3: Beam-Scanning Metalens Antenna using Prior-Knowledge-Guided Machine-Learning-Based Synthesis
Peiqin Liu, Zhi Ning Chen, National University of Singapore, Singapore
MO-SP.1P.4: Machine Learning Application For Antenna Design
Mohsen Farmahini Farahani, Allen Tran, Qualcomm, United States
MO-SP.1P.5: Wideband Millimeter-Wave Horizontally Polarized Omnidirectional Antenna Using Machine-Learning-Assisted Optimization Method
Yajie Gong, Qi Wu, Chen Yu, Haiming Wang, Wei Hong, State Key Laboratory (SKL) of Millimeter Waves, Southeast University, China; Weishuang Yin, State Key Laboratory of Mobile Network and Mobile Multimedia Technology,ZTE Corporation, China
MO-SP.1P.6: Hyperparameters Tuning of Prior Knowledge-Driven Multilayer Perceptron Model Using Particle Swarm Optimization for Inverse Modeling
Debanjali Sarkar, Taimoor Khan, Fazal Ahmed Talukdar, NIT Silchar, India; Sembiam R. Rengarajan, California State University, United States
MO-SP.1P.7: Inverse GRIN Lens Design Using Artificial Neural Network and Geometrical Optics
Wei Wang, Jiahao Huang, Hassna Ouassal, Jonathan Chisum, University of Notre Dame, United States
MO-SP.1P.8: Convolutional Neural Network Based Antenna Beam Coefficient Generation for Planar Arrays
Glendyn King, Md Asaduzzaman Towfiq, i5 Technologies, Inc., United States; Ali Gurbuz, Mississippi State University, United States; Bedri Cetiner, Utah State University, United States
MO-SP.1P.9: An Angularly Stable Triple-band Reflective Polarizing Surface Using a Generative Adversarial Network
Parinaz Naseri, Sean V. Hum, University of Toronto, Canada; George Goussetis, Heriot-Watt University, United Kingdom; Nelson J. G. Fonseca, European Space Agency, Netherlands
MO-SP.1P.10: Hardware-friendly Unsupervised Coding Scheme for Reconfigurable Intelligent Surface Based on Binary Neural Networks
Tao Shan, Maokun Li, Fan Yang, Shenheng Xu, Tsinghua University, China
Resources
No resources available.