20 publications
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4 X 4 Multi-band MIMO Antenna: A StudyBy Heena T Shaikh, Kazi Kutubuddin Sayyad Liyakat
Abstract: The insatiable demand for higher data rates and improved connectivity in modern wireless communication systems critically relies on Multiple Input Multiple Output (MIMO) technology. However, the effective realization of MIMO's benefits, particularly in compact devices, is fundamentally constrained by the physical limitations of antenna design, primarily mutual coupling between radiating elements and high spatial correlation. This paper presents the design, analysis, and optimization of a novel 4x4 multi-band MIMO antenna …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 2, 2025 · pp. 19–29 Read article →
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A Overview on Reimagining MOSFET as Precision Thermal SensorBy Kazi Kutubuddin Sayyad Liyakat, Heena T Shaikh
Abstract: In the landscape of modern microelectronics, the transition from discrete sensing components to fully integrated silicon solutions have become a necessity for the advancement of the Internet of Things (IoT) and high-performance computing. This design explores the utilization of the MOSFET as a primary temperature-sensing transducer, leveraging its inherent thermal sensitivity rather than treating heat as a parasitic interference. By operating the MOSFET in the subthreshold (weak inversion) or saturation …
Published in International Journal of Analog Integrated Circuits · Vol. 12, Issue 1, 2026 · pp. 8–13 Read article →
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A Study on AI in 7G Mobile CommunicationBy Kazi Kutubuddin Sayyad Liyakat, Heena T Shaikh
Abstract: The imminent transition from 5G to the seventhgeneration (7G) mobile ecosystem promises to redefine connectivity through unprecedented data rates, pervasive ultralow latency, and holistic integration of terrestrial, aerial, and spaceborne networks. Central to this evolution is Artificial Intelligence (AI), which is poised to become the nervous system that orchestrates, optimizes, and secures the hyperdynamic 7G fabric. This paper surveys the emerging AIdriven paradigms that will underpin 7G, focusing on three …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 29–39 Read article →
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An Overview on Harmonic Intelligence: BridgingMicrowave Sensing and AI-Driven IoT for Autonomous Decision-MakingBy Heena T Shaikh, Kazi Kutubuddin Kazi Kutubuddin
Abstract: As the Internet of Things (IoT) ecosystem expands into complex industrial and urban environments, the demand for high-fidelity data acquisition and near-instantaneous edge processing has reached a critical juncture. Traditional optical and infrared sensors often falter under adverse conditions, such as dense smoke, occlusions, or low-light environments. This paper explores the transformative potential of microwave signals—leveraging their unique ability to penetrate non-metallic materials and operate independently of ambient lighting—as the …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 1, 2026 · pp. 1–8 Read article →
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Integrated Telecommunication Systems: Networking,Security, and Emerging Technologies inNext-Generation Communication NetworksBy Heena T Shaikh, IR. Dr. Kazi Kutubuddin Sayyad Liyakat
Abstract: Integrated telecommunication systems play a crucial role in enabling reliable, high-speed, and scalablecommunication across modern digital infrastructures. This paper presents a comprehensive review ofintegrated telecommunication systems with a focus on networking architectures, security mechanisms,and emerging technologies in next-generation communication networks. It examines the fundamentalcomponents of communication systems, including transmission media, communication channels, andstandardized networking protocols, highlighting their contribution to efficient data exchange andsystem interoperability. The study explores both wired and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 36–45 Read article →
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An Overview on AI in Thermal Behaviour of PolymersBy Heena T Shaikh, Kazi Kutubuddin Sayyad Liyakat
Abstract: The integration of Artificial Intelligence (AI) and Machine Learning (ML) into the thermalanalysis of polymers and composite materials has transitioned from experimental curiosity to acornerstone of material science. By replacing costly and time-consuming trial-and-errorlaboratory testing with predictive modeling, AI is accelerating the development of advancedthermal interface materials, fire-retardant polymers, and aerospace-grade composites. Theprediction and optimization of the thermal behavior of polymers and composite materialsrepresent a cornerstone of modern materials science, …
Published in International Journal of Composite and Constituent Materials · Vol. 12, Issue 1, 2026 · pp. 12–16 Read article →
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An investigation into the use of nanotechnology in medical-military applicationsBy Heena T Shaikh, Kazi Kutubuddin Sayyad Liyakat
Abstract: The concept of Nanotechnology's Impact on Battlefield Welfare highlights the field's significant implications for troop safety, health, and recuperation while providing a fresh and innovative perspective on military medical applications. This abstract captures the essence of the profound changes in military medicine that have been made possible by recent advances in nanotechnology. This review examines the wide-ranging and intricate effects on battlefield wellbeing of improved medical treatments utilising nanotechnology. Additionally, …
Published in International journal of Nanobiotechnology · Vol. 12, Issue 1, 2026 · pp. 43–52 Read article →
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A Technical Overview of Nanorobots Using NanotechnologyBy Heena T Shaikh, Kazi Kutubuddin Sayyad Liyakat
Abstract: Nanorobots are tiny machines that can interact with biological structures and environment with previously unheard-of accuracy thanks to nanotechnology, the deception of matter on the atomic and molecular scale. The design, operation, and use of nanorobots in materials research, environmental remediation, and medicine are examined in this work. Nanorobots are designed to carry out tasks including targeted medicine delivery, microsurgical treatments, and pollution neutralization by combining concepts from materials engineering, …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 12, Issue 1, 2026 · pp. 31–38 Read article →
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A Study on Machine-Learning-Driven Insight into theThermal Behavior of Polymers and Composite MaterialsBy Heena T Shaikh, Dr. Kazi Kutubuddin Sayyad Liyakat
Abstract: The thermal performance of polymeric and composite systems underpins their suitability for aerospace, electronics, and energy‑storage applications, yet reliable prediction of temperature‑dependent properties remains a formidable challenge. In this work we present a data‑driven framework that harnesses modern machine‑learning (ML) techniques to forecast key thermal metrics – glass‑transition temperature (Tg), melting point (Tm), thermal conductivity (k), and decomposition onset (Td) – from a chemically informed descriptor space. A curated database …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 1, 2026 · pp. 1–11 Read article →
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Chemical Processing in the E-Kidney Filtration RevolutionBy Heena T Shaikh, IR. Dr. Kazi Kutubuddin Sayyad Liyakat
Abstract: The convergence of bioengineering and advanced materials science has catalyzed groundbreaking innovations in renal replacement therapies, most notably in the development of the electronic kidney (e-kidney). Central to the functionality of this compact, wearable filtration system is the integration of in situ chemical processing mechanisms that emulate the nuanced biochemical regulation of the human nephron. Unlike conventional dialysis, which relies on passive diffusion and ultrafiltration, the e-kidney employs microfluidic arrays …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article →
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A Study on CNN-Based Image MosaicingBy Kazi Kutubuddin Sayyad Liyakat, Heena T Shaikh
Abstract: The intricate tapestry of image mosaicing, while a cornerstone of computer vision, has long been constrained by the rigidity of classical, geometry-driven pipelines. Hand-crafted feature detectors and homography estimators, while effective in controlled environments, prove brittle when confronted with the challenges of real-world scenes: significant parallax, dynamic moving objects, repetitive textures, and illumination variance. This work introduces a fundamental paradigm shift, proposing a deep convolutional neural network (CNN) architecture designed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article →
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Innovating IoT Security: VHDL as a Solution for Bootloader VulnerabilitiesBy Heena T Shaikh, Dr. Kazi Kutubuddin Sayyad Liyakat
Abstract: Unmatched connectivity and convenience have been made possible by the growth of Internet ofThings (IoT) devices. However, there is a higher chance of security flaws as a result of thisincreasing connectedness. The bootloader, the software that loads the operating system andinitializes the device, is one of the most important components for IoT device security. Maliciousactors may target the device since a hacked bootloader can result in a total takeover. Based …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 2, 2025 Read article →
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The Versatility of the IC 741 in Electronic Sensor System DesignBy Heena T Shaikh, Dr. Kazi Kutubuddin Sayyad Liyakat
Abstract: In the vast and intricate realm of electronics, few components have had as profound an impact onthe development of sensor systems as the humble IC 741. This groundbreaking device wasdesigned to provide a high degree of flexibility and reliability, making it an ideal choice for awide range of applications. The IC 741 is characterized by its high input impedance, low outputimpedance, and high gain, which allow it to amplify weak …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 2, 2025 Read article →
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Polymer-Based Composites in Orthopedic Applications: A StudyBy Heena T Shaikh
Abstract: The pursuit of ideal biomaterials in the field of orthopaedics is an ongoing process that is drivenby the requirement for improved biocompatibility, mechanical congruence with natural tissues,and long-term stability in vivo. Polymer-based composites, also known as PBCs, have emergedas highly attractive options. These composites offer a one-of-a-kind combination of features thatcan be customised, which addresses many of the constraints that are associated with standardceramic and metallic implants. The purpose of …
Published in International Journal of Composite and Constituent Materials · Vol. 11, Issue 2, 2025 Read article →
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The Enduring Impact and Future Trajectory of Semiconductor Temperature Sensing: A StudyBy MaratheVikas Ramchandra, Heena T Shaikh, Dr. Kazi Kutubuddin Sayyad Liyakat
Abstract: We live in a world obsessed with measurement, and temperature is its most intimate metric. It isthe difference between a thriving processor and a melted core, between a stable chemicalreaction and a catastrophic one, between a comfortable home and an inhospitable one. Fordecades, this measurement was the domain of mercury columns and bimetallic strips—physical,analog, and stubbornly limited. Then came the silent revolution: the semiconductor temperaturesensor. Semiconductor technology has revolutionized the …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 2, 2025 Read article →
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The Future of Radar Antenna Design: A StudyBy Pathan Muskan Ibrahim, Shaikh A. Hakim A. Razzaque, Heena T Shaikh, Dr. Kazi Kutubuddin Sayyad Liyakat
Abstract: Radar antennas are the critical interface between the electronic heart of a radar system and theelectromagnetic waves that probe the environment, acting as the system's "eyes and ears." Theirdesign is a multi-faceted engineering challenge, inherently balancing often-conflictingrequirements to optimize performance across incredibly diverse applications – from long-rangesurveillance and air traffic control to autonomous vehicle sensing and precise weatherforecasting. This abstract introduces the fundamental principles and intricate considerationsgoverning radar antenna design, …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 43–51 Read article →
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Improved Programming Model Using AI: Shifting from Imperative Coding to Declarative IntentBy Heena T Shaikh, Kazi Kutubuddin Sayyad Liyakat
Abstract: The contemporary software development lifecycle is burdened by significant cognitive friction, characterized by high demands for syntax recall, boilerplate management, and painstaking manual debugging. This paper proposes and examines a novel programming model built upon deeply embedded artificial intelligence, moving beyond simple code completion tools to establish a truly intent-based, declarative development environment. The proposed model leverages specialized large language models and domain-specific generative agents (Cognitive Programming Assistants, or CPAs) …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 2, 2025 · pp. 1–9 Read article →
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e-Kidney Filtration System (EKS) Using Sensor: A StudyBy Dr. Kazi Kutubuddin Sayyad Liyakat, Heena T Shaikh
Abstract: This research presents the design and preliminary validation of an E-Kidney Filtration System (EKS), an innovative artificial kidney leveraging advanced sensor technology for precise and adaptable blood filtration. Traditional hemodialysis, while life-sustaining, is a passive process with inherent limitations in its ability to dynamically respond to individual patient needs and fluctuations in physiological parameters. EKS aims to overcome these limitations by integrating a suite of real-time biosensors and electrochemical sensors …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 31–40 Read article →
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Cognitive Metallurgy: A Study on Microstructure and Energy Efficiency in High-Temperature Alloying via Sensor Fusion and Deep Reinforcement LearningBy Kazi Sultanabanu Sayyad Liyakat, Heena T Shaikh, Dr. Kazi Kutubuddin Sayyad Liyakat
Abstract: Background Traditional high-temperature metallurgical processes, such as continuous casting and specialty alloy synthesis, are characterized by high energy consumption, stochastic variability, and reliance on post-process defect inspection. The inability to precisely monitor, model, and predict the real-time thermal, chemical, and mechanical state of molten metal and cooling substrates results in significant material waste and inconsistent microstructural integrity. Methodology This study introduces a novel framework for Cognitive Metallurgy utilizing an integrated …
Published in International Journal of Metallurgy and Alloys · Vol. 11, Issue 2, 2025 · pp. 27–36 Read article →
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Polymer-Based Composites in Orthopedic Applications: A StudyBy Heena T Shaikh, Kazi Kutubuddin Sayyad Liyakat
Abstract: The pursuit of ideal biomaterials in the field of orthopaedics is an ongoing process that is drivenby the requirement for improved biocompatibility, mechanical congruence with natural tissues,and long-term stability in vivo. Polymer-based composites, also known as PBCs, have emergedas highly attractive options. These composites offer a one-of-a-kind combination of features thatcan be customised, which addresses many of the constraints that are associated with standardceramic and metallic implants. The purpose of …
Published in International Journal of Composite and Constituent Materials · Vol. 11, Issue 2, 2025 Read article →