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Khaled Issa

Researcher at King Saud University

Publications -  27
Citations -  215

Khaled Issa is an academic researcher from King Saud University. The author has contributed to research in topics: Antenna (radio) & Frequency band. The author has an hindex of 7, co-authored 27 publications receiving 128 citations. Previous affiliations of Khaled Issa include University of Monastir & King Abdulaziz City for Science and Technology.

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Theoretical study of the electronic structure of LiX and NaX (X = Rb, Cs) molecules

TL;DR: In this paper, the lowest electronic states of alkali dimers LiX and NaX (X = Rb, Cs) were computed using an ab initio approach with core-potential potentials and full-valence configuration.
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Broadband High-Gain Antenna for Millimetre-Wave 60-GHz Band

TL;DR: In this paper, a double-layer log-periodic antenna with a reduced size and a limited number of elements is proposed for the 60 GHz band, which achieves a maximum realized gain of 11.8 dBi with an estimated radiation efficiency of 91.2%.
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Design and Analysis of Multi-Resonators Loaded Broadband Antipodal Tapered Slot Antenna for Chipless RFID Applications

TL;DR: This work proposes a novel scheme of broadband chipless RFID tagging that is based on slot coupled tapered slot antenna (TSA) loaded with a set of resonators, referred to as multi-resonators filters (MRF), which can enable development of robust chiplessRFID systems with the promising features of low cost, compact, and lightweight.
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Ab initio study of Ba+Arn (n = 1–4) clusters: spectroscopic constants and vibrational energy levels

TL;DR: In this paper, the electronic structures of Ba+Arn (n = 1-4) clusters were calculated using [Ba2+] and [Ar] non-empirical core pseudo-potentials complemented by the core polarisation operators for both atoms, which allowed the consideration of core valence correlation effects.
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Inverse-raised-cosine fibers for next-generation orbital angular momentum systems

TL;DR: In this paper, a few-mode fiber for OAM transmission, based on the inverse-raised cosine (IRC) function, is designed and numerically analyzed in terms of effective index separation among modes, differential group delay, and chromatic dispersion.