Professor Dr. Salah I. Yahya, working in the Department of Software Engineering at Koya University, published two research papers in the Electronics journal and the Neural Computing and Applications journal. The two research papers' works were achived in collaboration with other researchers from (1) Islamic Azad University, Kermanshah, Iran, (2) Kermanshah University of Technology, Kermanshah, Iran and (3) Shiraz University of Technology, Shiraz, Iran, and (4) Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia. The first journal is published by MDPI and indexed by Calrivate Analytics (Wos: IF = 2.397, Q2), whereas the second journal is published by Springer and indexed by Calrivate Analytics (Wos: IF = 5.606, Q1),
About the author:
Name: Salah I. Yahya
Qualification: Ph.D.
Academic rank: Professor
Affiiliation: Department of Software Enginering, Faculty of Engineering, Koya University
TAP: https://sites.google.com/koyauniversity.org/salah-ismaeel/
Google Scholar account: https://scholar.google.com/citations?user=jXO8SZkAAAAJ&hl=en
ORCID account: https://orcid.org/0000-0002-2724-5118
Publons account: https://researcherid.com/rid/A-9661-2017
Journals Coverage
(1) Electronices
Clarivate Analytics (Wos: IF = 2.397)
Science Citation Index
Science Citation Index Expanded
SCOPUS: Q2
Publisher: MDPI
About the paper
Title: Design and Fabrication of a Compact Branch-Line Coupler Using Resonators with Wide Harmonics Suppression Band
DOI: https://doi.org/10.3390/electronics11050793
Abstract
The branch-line coupler (BLC) is an important device in radio frequency (RF) and microwave (MW) circuits. The main drawbacks of the conventional BLC are as follows: first, the four long quarter-wavelength (λ/4) transmission line sections occupy a large size, especially at the low frequencies, and second, the presence of unwanted harmonics. This research paper presents a compact 750 MHz BLC with harmonics suppression using resonators. The typical BLC consists of four λ/4 branches, two series arms of 35 Ω and two shunt arms of 50 Ω impedances. In the proposed BLC, these long branches are replaced with two types of compact resonators. The proposed resonators have the same responses at the operating frequency of 750 MHz and suppress higher frequencies. The designed BLC is simulated, fabricated and measured. The results show that the proposed BLC has good performance at 750 MHz with a bandwidth of 200 MHz, which provides more than 26% fractional bandwidth (FBW). It has a very compact size, about 84% size reduction, as compared with the typical BLC. Moreover, the fabricated BLC suppresses the 2nd up to 7th unwanted harmonics with a high suppression level.
(2) Neural Computing and Applications
Clarivate Analytics (Wos: IF = 5.606)
Science Citation Index
Science Citation Index Expanded
SCOPUS: Q1
Publisher: Springer
About the paper
Title: Designing high-performance microstrip quad-band bandpass filters (for multi-service communication systems): a novel method based on artificial neural networks
DOI: https://doi.org/10.1007/s00521-021-06879-7
Abstract
Recently, high-performance multi-channel microstrip filters are widely demanded by modern multi-service communication systems. Designing these filters with both compact size and low loss is a challenge for the researchers. In this paper and for the first time, we have proposed a novel method based on artificial neural network to design and simulate multichannel microstrip bandpass filters. For this purpose, the frequency, physical dimensions, and substrate parameters, i.e., type and thickness, of the BPF are selected as the inputs and the S-parameters, i.e. S11 and S21, are selected as the outputs of the proposed model. Using an accurate multilayer perceptron neural network trained with back-propagation technique, a high-performance microstrip quad-band bandpass filter (QB-BPF) is designed which has a novel compact structure consisting of meandrous spirals, coupled lines, and patch feeds. The proposed method can be easily used for designing other microstrip devices such as filters, couplers, and diplexers. The designed filter occupies a very small area of 0.0012 λg2, which is the smallest size in comparison with previously published works. It operates at 0.7, 2.2, 3.8, and 5.6 GHz for communication systems. The low insertion loss, high return losses, low group delay, and good frequency selectivity are obtained. To verify the design method and simulation results, the introduced filter is fabricated and measured. The results show an agreement between the simulation and measurement.
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Koya University (KOU) is located in the city of Koya (Koy Sanjaq) which is 1.0 hr drive to the East of the Kurdistan Region capital Erbil (Arbil, Hewlér) in Kurdistan Region of F.R. Iraq. It is on the foothills of beautiful high mountain. Its campus has been carefully laid out to embrace the beautiful mountainous nature. . There are 4 Faculties and 2 Schools in KOU; Faculty of Engineering (FENG), Faculty of Science and Health (FSCH), Faculty of Education (FEDU), Faculty of Humanities and Social Silences (FHSS), Shcool of Physical Education (SPHE) and School of Medicine (SMED). Also, there are two research centers; Genome Center and Malai Gawra Center. Moreover, at KOU there is an English Language Center (BELC) at KOU has been opened with the sponsorship of IREX and American embassy in Baghdad as well as with the support of Spring International Language Center of The University of Arkansas. KOU has two Scientific Journals; ARO-The Scientific Journal of Koya University, which is indexed by Clarivate Analytics (ESCI), and Koya University Journal of Humanities and Social Sciences (KUJHSS). KOU is a proactive member of Erasmus/ Marhaba Project and Erasmus+. KOU signed many Memorandum of Understandings (MoU) with many International Universities, e.g., The University of Arkansas (June 2015). The Lulea University in Sweden (April 2014), The University of Nottingham in the UK, The University of Buckingham in the UK (Oct 2008), Belkin University in Turkey (Sep 2009) The University of Greenwich in the UK, Cihan University-Erbil (2021) and Tishk International University (2021).
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