Machine Learning in Electromagnetics: A Review and Some Perspectives for Future Research

Danilo Erricolo, Pai-Yen Chen, Anastasiia Rozhkova, Elahehsadat Torabi, Hakan Bagci, Atif Shamim, Xianglian Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

We review machine learning and its applications in a wide range of electromagnetic problems, including radar, 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.
Original languageEnglish (US)
Title of host publication2019 International Conference on Electromagnetics in Advanced Applications (ICEAA)
PublisherIEEE
Pages1377-1380
Number of pages4
ISBN (Print)9781728105635
DOIs
StatePublished - Oct 24 2019

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