36 publications
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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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A Review of Adaptive Power Control Methods in Broadband NetworksBy Kazi Kutubuddin Sayyad Liyakat
Abstract: Broadband communication networks have experienced rapid growth due to the increasing demand for high-speed wireless connectivity, multimedia services, cloud computing, and Internet-based applications. As network traffic and user density continue to rise, efficient power management has become an essential requirement for maintaining communication quality, improving spectrum utilization, and reducing overall energy consumption. Adaptive power control methods play a critical role in optimizing transmission performance by dynamically adjusting signal power according …
Published in International Journal of Broadband Cellular Communication · Vol. 12, Issue 1, 2026 · pp. 17–28 Read article →
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A study AI-Driven IoT in Self-Healing Grid Power SystemsBy Kazi Kutubuddin Sayyad Liyakat
Abstract: Modern electricity infrastructure is undergoing a transformation thanks to the combination of artificial intelligence (AI) and the Internet of Things (IoT), especially in the development of self- healing grid systems. In the context of smart grid automation and resilience, this article provides a thorough review of AI-driven IoT infrastructures. By leveraging distributed sensor networks, real-time data acquisition, and advanced KSK Approach, and machine learning algorithms—includes ANN, DT and K-NN—the proposed …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 15–24 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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A Survey on Hydrogen Storage System using AlloysBy Heena T. Shaikhbn, Kazi Kutubuddin Sayyad Liyakat
Abstract: The transition to a carbon-neutral energy landscape hinges on the ability to store hydrogen safely, densely, and reversibly. While high-pressure tanks and cryogenic vessels dominate today’s infrastructure, solid-state storage in metallic alloys offers a compelling alternative by marrying high gravimetric capacity with intrinsic safety. This work presents a systematic investigation of a family of reversible hydrogen-absorbing alloys—principally Mg-based intermetallics (Mg₂Ni, Mg-Fe-Mn) and Ti-V-based Laves phases (TiFe, Ti₁₋ₓMnₓV₂) – engineered through …
Published in International Journal of Energetic Materials · Vol. 12, Issue 1, 2026 · pp. 13–19 Read article →
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Intelligent Trajectories: Harnessing Artificial Intelligence for Next Generation Missile and Propellant DesignBy Kazi Kutubuddin Sayyad Liyakat
Abstract: The rapid evolution of artificial intelligence (AI) has unlocked transformative pathways for high-performance aerospace engineering, yet its integration into missile and propellant design remains nascent. This study investigates a hybrid AI-driven framework that unites physics-based modeling, data-centric learning, and multi-objective optimization to accelerate the conception, validation, and refinement of missile airframes and solid-propellant formulations. First, a physics-informed neural network (PINN) is trained on a curated database of historic missile geometries, …
Published in International Journal of Energetic Materials · Vol. 12, Issue 1, 2026 · pp. 20–26 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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An Overview on Nanomaterial-Enabled Electronic Skin for Physiological Sensing and Biomedical UseBy Kazi Kutubuddin Sayyad Liyakat
Abstract: Imagining a world in which prosthetics have the ability to feel, robots are able to detect even the faintest touch, and wearable health monitors are able to track your well-being in a seamless manner. Electronic skin, often known as e-skin, is a revolutionary technology that is set to alter the way in which we interact with the world. This vision has become a reality thanks to their development. What is …
Published in International journal of Nanobiotechnology · Vol. 12, Issue 1, 2026 · pp. 53–62 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 of Self-Healing Polymer Nanocomposites with Filler EffectBy Kazi Kutubuddin Sayyad Liyakat
Abstract: Considering their versatility, polymers sometimes lack the barrier properties, mechanical strength, and thermal stability required for high-performance applications. The creation of polymer nanocomposites is an advanced solution to this restriction. To make these materials, nanoscale fillers like carbon nanotubes, graphene, silica, clay, and metal oxide nanoparticles are added to a polymer matrix in small amounts (typically 1–5% weight percentage). The nanoparticles’ incredibly high surface area-to-volume ratio, as well as their …
Published in International Journal of Applied Nanotechnology · Vol. 12, Issue 1, 2026 · pp. 26–35 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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Cloud Security Using Machine Learning: A StudyBy Kazi Kutubuddin Sayyad Liyakat, Heena T. Shaikhbn, Kazi S. S. Liyakat
Abstract: The rapid adoption of cloud computing has revolutionized IT infrastructure, offering unprecedented scalability, flexibility, and cost efficiency. However, this paradigm shift introduces a new spectrum of sophisticated security challenges that traditional, signature-based security mechanisms often struggle to address effectively given the dynamic, multi-tenant, and distributed nature of cloud environments. This paper explores the critical role of Machine Learning (ML) as a potent paradigm for strengthening cloud infrastructure. ML emerges as …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 21–30 Read article →
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Cloud Computing-Based Software TestingBy Kazi Kutubuddin Sayyad Liyakat
Abstract: For decades, the software testing laboratory was a bottleneck – a physical anchor holding back the velocity of digital innovation. Testers grappled with environment provisioning delays, infrastructure costs, and the ultimate frustration: lacking the muscle to simulate true production-level scale. The paradigm shift towards cloud computing has revolutionized software deployment and scalability, yet it introduces unique complexities for ensuring application quality and reliability. Traditional testing methodologies, often monolithic and resource-intensive, …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 2, 2025 · pp. 18–26 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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Fog Computing Architecture and Deployment in IoTBy Kazi Kutubuddin Sayyad Liyakat
Abstract: The relentless proliferation of Internet of Things maneuvers generates colossal volumes of data at the network edge, straining traditional cloud-centric paradigms with inherent limitations in latency, bandwidth, resilience, and privacy. This necessitates a paradigm shift towards distributed intelligence. Fog Computing arises as a pivotal architectural paradigm, extending computational, storage, and networking capabilities closer to the data source, thereby mitigating latency, reducing bandwidth consumption, and enhancing real-time processing capabilities for critical …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 31–39 Read article →
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Intelligent Rocket and Missile Propellants: A StudyBy Kazi Kutubuddin Sayyad Liyakat
Abstract: The pursuit of enhanced performance, increased safety, and unparalleled mission adaptability in aerospace and defence systems necessitate a paradigm shift in propulsive technologies. Traditional rocket and missile propellants, while highly effective, possess intrinsic limitations related to fixed energy release profiles, inherent handling risks, and susceptibility to environmental factors. This paper introduces the concept of Intelligent Rocket and Missile Propellants: advanced chemical or energetic materials endowed with intrinsic sensing, self-monitoring, and …
Published in International Journal of Energetic Materials · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article →
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A Study on Sensors in Metallurgy ApplicationsBy Kazi Kutubuddin Sayyad Liyakat
Abstract: The relentless pursuit of efficiency, quality, and sustainability within the metallurgical industry hinges on unprecedented control over its often extreme and dynamic processes. This control is progressively realized through the strategic deployment of advanced sensor technologies. This paper explores the pivotal role of sensors in modern metallurgy, spanning from the raw material stage to the final product. It highlights how sensors, by providing real-time, accurate, and often non-intrusive data, are …
Published in International Journal of Metallurgy and Alloys · Vol. 11, Issue 2, 2025 · pp. 14–26 Read article →
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A Study on the Future of Industrial WastewaterTreatment Plant: Trends and InnovationsBy Kazi Kutubuddin Sayyad Liyakat, Heena T. Shaikhbn, Pathan M. Ibrahim
Abstract: Industrial wastewater treatment plants (IWWTPs) stand at the critical intersection of economic productivity and environmental sustainability. Unlike municipal sources, industrial effluent is characterized by extreme heterogeneity, containing highly variable concentrations of toxic heavy metals, recalcitrant organic compounds, suspended solids, and emerging contaminants. This complexity necessitates bespoke, multistage treatment trains, often combining physical, chemical, and advanced biological methods (e.g., membrane bioreactors, electrochemical oxidation, and anaerobic digestion). This analysis examines the contemporary …
Published in International Journal of Chemical Engineering and Processing · Vol. 11, Issue 2, 2025 · pp. 1–13 Read article →
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Nanotechnology: Revolutionizing the World of SensorsBy Nikat Rajak Mulla, Bhakti Haridas Gavali, Ayesha Khalil Mulani, Vaibhavi Kishor Jadhav, Kazi Kutubuddin Sayyad Liyakat
Abstract: Sensors are ubiquitous in modern society, playing critical roles in fields ranging fromenvironmental monitoring and healthcare diagnostics to industrial automation and food safety.However, traditional sensor technologies often face limitations in response time, sensitivity, andspecificity, hindering their effectiveness in applications demanding rapid and precise detection.Nanotechnology offers a powerful toolbox to overcome these challenges, enabling thedevelopment of advanced sensors with unprecedented performance. This article explores thetransformative impact of nanotechnology on sensor technology, …
Published in International Journal of Applied Nanotechnology · Vol. 11, Issue 2, 2025 Read article →