MO-SS.1P: Machine-Learning as Applied to EM - Trends, Advances, and Applications
Mon, 15 Jul, 13:40 - 17:20
Location: Room 1
Session Type: Oral
Session Co-Chairs: Marco Salucci, and Zhi Ning Chen,
Track: Special Sessions
Mon, 15 Jul, 13:40 - 14:00

MO-SS.1P.1: Target Classification Using Physics-Assisted Machine Learning in 77 GHz Automotive Radar

Tiantian Yin, National University of Singapore, Singapore; Kai Tan, Fudan University, China; Xudong Chen, National University of Singapore, Singapore
Mon, 15 Jul, 14:00 - 14:20

MO-SS.1P.2: Feasibility of Alzheimer’s Disease Early Detection through Machine Learning Applied to Microwave Sensing Data Collected from a Realistic Phantom

Leonardo Cardinali, Valeria Mariano, Jorge Alberto Tobon-Vasquez, Politecnico di Torino, Italy; Lorenzo Crocco, Consiglio Nazionale delle Ricerche, Italy; Francesca Vipiana, Politecnico di Torino, Italy
Mon, 15 Jul, 14:20 - 14:40

MO-SS.1P.3: Optimization and Machine Learning for Antenna Array Healing

Jacob T. Young, Ryan J. Chaky, Ronald P. Jenkins, Sawyer D. Campbell, Pingjuan L. Werner, Douglas H. Werner, The Pennsylvania State University, United States
Mon, 15 Jul, 14:40 - 15:00

MO-SS.1P.4: Dual-Beam Forming Based on Physics-Driven Deep Learning Method for Programmable Metasurface

Jianghan Bao, Qiang Xiao, Che Liu, Tie Jun Cui, Southeast University, China
Mon, 15 Jul, 15:00 - 15:20

MO-SS.1P.5: Machine Learning-Enabled Wide-Beam Metasurface Antenna for Wide-Angle Scanning Antenna Array

Yanhe Lyu, Xinyu Wang, Zhi Ning Chen, National University of Singapore, Singapore
Coffee Break
Mon, 15 Jul, 15:40 - 16:00

MO-SS.1P.6: Machine Learning as Applied to EM - Trends, Advances, and Applications

Parvathy Chittur Subramanianprasad, Yang Hao, Queen Mary University of London, United Kingdom
Mon, 15 Jul, 16:00 - 16:20

MO-SS.1P.7: A Machine Learning-based Inverse Scattering Method for Biomedical Imaging Segmentation

Naike Du, Xiuzhu Ye, Beijing Institute of Technology, China
Mon, 15 Jul, 16:20 - 16:40

MO-SS.1P.8: Solving Combined Field Integral Equations of Electrically Large Targets Based on Physics-informed Graph Residual Learning

Tao Shan, Beihang University, China; Maokun LI, Fan Yang, Shenheng Xu, Tsinghua University, China
Mon, 15 Jul, 16:40 - 17:00

MO-SS.1P.9: Some Advances of Machine Learning as Applied to Computational EM, Remote Sensing, and Medical Diagnostics

Branislav Notaroš, Cam Key, Hein Thant, Stephen Kasdorf, Colorado State University, United States
Mon, 15 Jul, 17:00 - 17:20

MO-SS.1P.10: Deep Learning Assisted Design of EM Skin Meta-Atoms within the System-by-Design

Federico Albi, Marco Salucci, ELEDIA@UniTN - University of Trento, Italy; Zhichao Lin, ELEDIA@TSINGHUA - Tsinghua University, China; Giacomo Oliveri, Andrea Massa, ELEDIA@UniTN - University of Trento, Italy