DSpace at AUK
Welcome to the digital archives and open access resources at the American University of Kuwait. DSpace is a digital service that collects, preserves, and distributes digital material. Repositories are important tools for preserving an organization's legacy; they facilitate digital preservation and scholarly communication. For more information, please check the FAQ
AUK account users please click on "Log in with AUK account"
Recent Submissions
Item Dual Function Metasurface(Institute of Electrical and Electronics Engineers Inc., 2026-03-04)With the advent of 6G, Antenna-on-Chip (AoC) is becoming more relevant than ever. However, due to the lossy nature of silicon (Si) in standard chip fabrication processes, these antennas suffer from poor gains and radiation efficiencies. An elegant solution is to incorporate an Artificial Magnetic Conductor (AMC) structure beneath the AoC to isolate the Si substrate. This solution works well for mm-Wave frequencies, however, the AMC is typically a large structure, as compared to the AoC, and is limited to a single function of isolating the Si substrate. Enhancing the functionality of the AMC can optimize the performance of such compact designs, where efficient use of space as well as integration of multiple functionalities is of paramount importance. Therefore, this work explores the potential of employing the AMC as a metasurface (MTS) antenna within the framework of AoC systems. The key focus of this work is to design a dual-functional MTS, which works as an AMC to enhance the gain and radiation efficiency of an AoC at one frequency, and as an independent radiator at another frequency. As a proof of concept, we have shown that an on-chip monopole antenna’s gain and radiation efficiency is enhanced by 5.5 dBi and 20% respectively at 79 GHz through an integrated AMC structure. It is shown that this AMC can be optimized to radiate as an independent MTS antenna through Characteristic Mode Analysis (CMA) with a variety of radiation patterns for various modes. The fabricated prototype demonstrates one of these modes, where the MTS antenna shows a measured peak gain of 4.0 dBi at 94 GHz with a broad boresight radiation pattern.Item Dual-Wideband Metasurface for Polarization Conversion Targetting Integrated 5G and 6G MIMO Communication(2026-02-18)This paper presents the concept of polarization conversion for an integrated 5G and 6G Multiple-Input Multiple-Output (MIMO) antenna system. The design consists of a compact high-gain shared-aperture Vivaldi antenna with a meta-surface for linear-to-circular polarization (LP-to-CP) conversion, enabling operation at 40 GHz (5G) and 105 GHz (6G) bands. The metasurface supports both left-hand circular polarization (LHCP) and right-hand circular polarization (RHCP), achieving AR < 3 dB in the ranges of 38.8-44 (GHz) and 93-107 (GHz), respectively. The proposed configuration provides both dual wideband polarization conversion and spatial diversity (30° incidence angle) in a compact form factor. The initial results show satisfactory performance, making it a strong candidate for future integrated mm-Wave (5G) and sub-THz (6G) communication systems.Item Integrated Antenna Design for 4G-Microwave & 5G-Millimeter wave Mobile Communications(2026-02-18)Integrated antenna solutions capable of supporting multiple frequency bands are essential for future compact wireless communication devices. This paper presents a multiband antenna design with a wide frequency ratio, optimized for both low and high bands, to meet the requirements of 4G and 5G applications. The proposed antenna consists of a tapered slot, which operates as a high-gain antenna at 28 GHz (5G mm-wave) and as a resonant open-ended slot at 3.5 GHz (sub-6 GHz). To enhance the impedance bandwidth, the slot geometry is modified by introducing multi-sections within the slot. For lower-frequency bands, a multiband folded monopole antenna is integrated with the tapered slot on the same PCB using a single feed, covering 4G bands alongside the primary 5G bands. The final design operates effectively at 0.9 GHz, 2 GHz, 3.5 GHz, 5.5 GHz, and 28 GHz. The proposed design is experimentally validated and has good performance.Item Strategic Management of Technology and Organizational Innovation for Sustainability(Rotherham Academic Press Ltd, 2026-01-06)The shift to sustainable economic systems has made the strategic management of technology and organizational innovation more necessary in order to balance economic performance with environmental and social goals. Although companies make more investments in digital and green technologies, long-term sustainability will be determined by innovation capabilities, mechanisms of governance and alignment of policies. This paper is policy-focused research that studies the role of strategic technology management and organizational innovation capabilities in creating sustainable values in various forms of governance. Using the literature on innovation systems theory, dynamic capabilities, and sustainability governance, the research finds an integrative framework of analytical responses to the relationship between technological capabilities, organizational innovation processes, and multi-level governance mechanisms. The results indicate that the sustainable innovation results do not occur as a result of isolated technological investments, but as a result of coordinated capability advancement and system alignment at both the organizational and policy levels. The paper also proposes a strategic and policy recommendation to promote the transition of long-term value creation and sustainability.Item High-Dimensional Cancer Genomic Data Modeling Using Distributed Machine Learning Algorithms for Genetic and Transcriptomic Pattern Discovery(Fundacao de Pesquisas Cientificas de Ribeirao Preto, 2026-01-06)There has been a surge in the development of large-scale cancer genomic and transcriptomic datasets as a result of the rapid development of high-throughput sequencing technologies, posing serious analytic problems, as this data is high-dimensional, has a lot of noise, and multiple nonlinear interactions. The classic statistical methods might not be able to discern patterns of biologic significance of such data thus constraining their application in extensive cancer genomics. In this paper, we introduce a distributed machine learning-based modelling system that is proposed to analyse high-dimensional cancer genomic and transcriptomic data to yield genetic and transcriptomic patterns related to cancer-related biological processes. Cancer datasets with gene expression and transcriptomic profiles in a publicly available format were used and they were processed systematically by preprocessing data, normalising and dimensionality reduction based on the need to reduce redundancy and noise to an acceptable extent. The algorithms of machine learning were then implemented in a distributed computing framework to effectively manage extensive spaces of features as well as supporting scalable pattern discovery. The proposed system was effective in determining clear gene expression patterns and transcriptomic signatures, which showed significant correlation with the well-known cancer-associated pathways, together with the cell proliferation, apoptotic, and signal transduction pathways. The identified features were also found to be biologically relevant using the functional enrichment and statistical validation techniques. On the whole, the findings demonstrate that distributed machine learning methods can be successfully used to conduct comprehensive cancer genomic analysis without sacrificing biological interpretability. It is an economical, high-quality analytical strategy to reveal meaningful genetic and transcriptomic patterns, which has a potential use value in cancer research and precision medicine implementation.
Communities in AUK
Select a community to browse its collections.