Machine Learning in Electromagnetics: A Review and Some Perspectives for Future Research Danilo Erricolo Pai-Yen Chen Anastasiia Rozhkova Elahesadat Torabi Hakan Bagci Atif Shamim Xianglian Zhang 10.25417/uic.12404360.v1 https://indigo.uic.edu/articles/conference_contribution/Machine_Learning_in_Electromagnetics_A_Review_and_Some_Perspectives_for_Future_Research/12404360 We review machine learning and its applications in<br>a wide range of electromagnetic problems, including radar,<br>communication, imaging and sensing. We extensively discuss some recent progress in development and use of intelligent algorithms for antenna design, synthesis, and characterization. We also provide some perspectives for future research directions in this emerging field of study. 2020-06-18 01:00:51 Keywords—Electromagnetics, Artificial Neural Network, Machine Learning, Deep Learning Electrical and Electronic Engineering not elsewhere classified