9 citations · 15 across the 6 of their papers we have counts for
10 papers
A deep learning approach for inverse design of the metasurface for dual-polarized waves
Fardin Ghorbani, Javad Shabanpour, Sina Beyraghi +3
Compared to the conventional metasurface design, machine learning-based methods have recently created an inspiring platform for an inverse realization of the metasurfaces. Here, we…
Deep neural network-based automatic metasurface design with a wide frequency range
Fardin Ghorbani, Sina Beyraghi, Javad Shabanpour +3
Beyond the scope of conventional metasurface which necessitates plenty of computational resources and time, an inverse design approach using machine learning algorithms promises an…
Implementation of conformal digital metasurfaces for THz polarimetric sensing
Javad Shabanpour, Sina Beyraghi, Fardin Ghorbani +1
Monitoring and controlling the state of polarization of electromagnetic waves is of significant interest for various basic and practical applications such as linear position sensin…
EEGsig: an open-source machine learning-based toolbox for EEG signal processing
Fardin Ghorbani, Javad Shabanpour, Sepideh Monjezi +3
In the quest to realize a comprehensive EEG signal processing framework, in this paper, we demonstrate a toolbox and graphic user interface, EEGsig, for the full process of EEG sig…
Fully manipulate the power intensity pattern in a large space-time digital metasurface: from arbitrary multibeam generation to harmonic beam steering scheme
Javad Shabanpour
Beyond the scope of space-coding metasurfaces, space-time digital metasurfaces can substantially expand the application scope of digital metamaterials in which simultaneous manipul…
Reconfigurable honeycomb metamaterial absorber having incident angular stability
Javad Shabanpour, Sina Beyraghi, Homayoon Oraizi
Ultrawide-angle electromagnetic wave absorbers with excellent mechanical properties are required in many diverse applications such as sensing, and stealth technologies. Here, a nov…