10.25417/uic.12404360.v1 Danilo Erricolo Danilo Erricolo Pai-Yen Chen Pai-Yen Chen Anastasiia Rozhkova Anastasiia Rozhkova Elahesadat Torabi Elahesadat Torabi Hakan Bagci Hakan Bagci Atif Shamim Atif Shamim Xianglian Zhang Xianglian Zhang Machine Learning in Electromagnetics: A Review and Some Perspectives for Future Research University of Illinois at Chicago 2020 Keywords—Electromagnetics, Artificial Neural Network, Machine Learning, Deep Learning Electrical and Electronic Engineering not elsewhere classified 2020-06-18 01:00:51 Conference contribution 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.