Special Issue: Sensing and Imaging with Electromagnetic Waves

Guest Editor

Dr. Reza K. Amineh
Department of Electrical and Computer Engineering, New York Institute of Technology, NY 10023, USA
Email: rkhalaja@nyit.edu

Manuscript Topics

Sensing and imaging with electromagnetic waves has grown rapidly in the past few decades thanks to the significant progress in the hardware components and processing algorithms. On the hardware side, the emergence of new and cost-effective sensors and their associated data acquisition boards has paved the way toward numerous novel applications. On the processing side, the development of faster computing machines has allowed for realization of more sophisticated algorithms that facilitate real-time or quasi real-time imaging and sensing of the media. The range of applications is very broad and encompass frequencies from fractions of Hertz to tera-Hertz and beyond, including but not limited to: Eddy current inspections, inductive sensing of conductive objects, capacitive sensing of dielectric objects, microwave imaging for biomedical and nondestructive testing applications, microwave sensing for material identification, radar imaging and remote sensing, tera-Hertz imaging and sensing, and optical imaging and sensing. The objective of this Special Issue is to provide an overview of the current research on methods and applications of electromagnetic waves in imaging and sensing of media, highlighting the latest developments and innovations in modern applications in terms of sensors, data acquisition circuits, sampling methods, algorithms, and so on. We will also try to identify new challenges and opportunities for new applications.


Instructions for authors
http://www.aimspress.com/electreng/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/

Paper Submission

All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is 15 May 2022

Published Papers()