STM Journals Peer-reviewed research from Consortium e-Learning Network

43 publications

  • Published Subscription Review Article

    AI Driven IoT Based Decision Making System for Brain wave study: KSK approach for Brain wave study

    By Kazi Kutubuddin Sayyad Liyakat, Kaustubh Subhash Mangrulkar

    Abstract: The rapid convergence of Internet of Things (IoT) architectures and deep learning has unlocked unprecedented potential for real-time neuro-diagnostic monitoring. This paper presents a novel framework for an AI-driven IoT ecosystem designed to capture, transmit, and interpret human electroencephalography (EEG) signals with minimal latency. Traditional brain-computer interface (BCI) studies are often constrained by localized computing power and the high dimensionality of neural data. Our proposed architecture integrates low-power EEG sensors …

    Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article

  • Published Subscription Review Article

    An Overview on AI-Driven IoT Based Decision Making in Climate change Study: KSK approach in Climate Change Study

    By Kazi Kutubuddin Sayyad Liyakat

    Abstract: As the Earth’s climate enters a state of unprecedented volatility, the traditional methods of ecological observation—characterized by delayed reporting and fragmented data—are no longer sufficient. This study investigates the paradigm shift toward AI-driven IoT (KSK Approach)-based decision-making frameworks as the primary frontier in climate science. By deploying a "planetary nervous system" of interconnected sensors—measuring everything from soil moisture in the Sahel to glacial melt rates in the Arctic—we generate a …

    Published in International Journal of Climate Conditions · Vol. 3, Issue 1, 2026 · pp. 1–10 Read article

  • Published Subscription Review Article

    An Overview on Intelligent Operating Systems (iOS)

    By Heena T Shaikh, Kazi Kutubuddin Sayyad Liyakat

    Abstract: The rapid convergence of artificial intelligence techniques with core operating system services is ushering in a new class of platforms—Intelligent Operating Systems (Intelligent OS)—that can anticipate, adapt, and optimize on behalf of both applications and users. This paper surveys the architectural shifts required to embed learning, reasoning, and self healing capabilities into the kernel, scheduler, memory manager, and I/O subsystems. We present a prototype framework, NeuroKernel, that augments traditional OS …

    Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 1, 2026 Read article

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    Nano-Chemical Revolution in Vaccinology: A Study

    By Kazi Kutubuddin Sayyad Liyakat

    Abstract: The development of traditional vaccines, reliant on attenuated pathogens or purified proteins, has historically been limited by slow development timelines, poor stability, and low immunogenicity requiring potent, often non-specific, adjuvants. This synthesis argues that the convergence of nano-material science and meticulous chemical engineering represents the next major paradigm shift in preventative medicine. Nano-materials, particularly Lipid Nanoparticles (LNPs) and various polymeric or inorganic scaffolds, have transitioned from theoretical constructs to essential …

    Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 1, 2026 Read article

  • Published Subscription Review Article

    Multi-Layered AI-Driven Paradigm Shift in IoT Ecosystem Security

    By Kazi Kutubuddin Sayyad Liyakat, Heena T Shaikh

    Abstract: As the Internet of Things (IoT) continues to weave itself into the fabric of modern life – from smart homes and industrial automation to healthcare and urban infrastructure – the associated security vulnerabilities have become increasingly apparent. Traditional security mechanisms, often built on static rules and perimeter-based defenses, struggle to keep pace with the scale, heterogeneity, and dynamic nature of IoT ecosystems. In response, artificial intelligence (AI) has emerged as …

    Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 1, 2026 · pp. 13–21 Read article

  • Published Subscription Review Article

    Optimization of Pesticide Requirement Calculations for IoT-Operated Hexacopter Delivery Systems

    By Heena T. Shaikh*, Kazi Kutubuddin Sayyad Liyakat

    Abstract: The integration of Internet of Things (IoT) technology into precision agriculture has transformed pesticide application strategies, enabling resource-efficient and environmentally sustainable practices. This study presents a computational methodology for optimizing pesticide requirements in an IoT-operated hexacopter system, designed for dynamic, data-driven pesticide delivery. Leveraging a fusion of real-time telemetric data from onboard LiDAR, multispectral imaging sensors, and environmental monitoring modules, the system employs predictive analytics and edge computing to calculate …

    Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 08–14 Read article

  • Published Subscription Review Article

    Hybrid Intelligence in Cyber Security: A Study

    By Kazi Kutubuddin Sayyad Liyakat

    Abstract: The digital landscape is a battlefield of escalating complexity, where the volume, velocity, and sophistication of cyber threats have exponentially outpaced human-centric defense models. Traditional rule-based security systems and siloed artificial intelligence (AI) solutions, while valuable, are increasingly brittle, overwhelmed by zero-day exploits, polymorphic malware, and coordinated, state-sponsored campaigns that operate in the shadows of big data. This paper posits that the paradigm of cybersecurity must fundamentally shift from one …

    Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 01–09 Read article

  • Published Subscription Review Article

    Analysis of Machine Learning in Metal Processing: A Novel Prospect

    By Heena T. Shaikh, Kazi Kutubuddin Sayyad Liyakat

    Abstract: Metal is processed by a wide range of procedures, from forming and casting to machining and riveting. Metal processing is a crucial part of modern manufacturing. The application of machine learning (ML) is driving a significant change in the sector, which has historically depended on empirical knowledge and trial-and-error techniques. Increased production, improved product quality, and resource optimization are expected outcomes of this action. This study aims to explore the …

    Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 1, 2026 · pp. 40–51 Read article

  • Published Subscription Review Article

    Exploring the Intersection of Blockchain and Cybersecurity

    By Kazi Kutubuddin Sayyad Liyakat, Muskan Pathan

    Abstract: The digital landscape is an increasingly contested battleground, where the escalating sophistication of cyber threats consistently challenges the efficacy of traditional, centralized security architectures. Pervasive data breaches, identity theft, and vulnerabilities stemming from single points of failure underscore an urgent need for a paradigm shift in cybersecurity. This study posits that blockchain technology, with its foundational principles of decentralization, immutability, cryptographic security, and transparent distributed consensus, offers a transformative framework …

    Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 32–42 Read article

  • Published Subscription Review Article

    Satellite sensing in Aero-plan guidance and radar tracking system

    By Shaikh Heena T, Kazi Kutubuddin Sayyad Liyakat

    Abstract: Satellite sensing, far from being a mere auxiliary tool, is rapidly becoming the indispensable spinal cord of modern aeroplane guidance and radar tracking systems, promising a future of unparalleled precision, efficiency, and safety. The relentless demand for safer, more efficient, and globally integrated air traffic management necessitates a continuous evolution of aeroplane guidance and radar tracking systems. This paper outlines the transformative role and study of satellite sensing, specifically Global …

    Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 37–45 Read article

  • Published Subscription Review Article

    A Study on Insect Journey using Sensor

    By Kazi Kutubuddin Sayyad Liyakat, Heena T. Shaikh

    Abstract: The orthodox entomologist’s toolkit – the net, the vial, the killing jar – has long rendered its subject’s mute. We have cataloged insects by their form, their pinned and static beauty, but have been largely deaf to the living, breathing reality of their existence. This study proposes a paradigm shift: to listen. By deploying a suite of miniaturized, non-invasive sensors – from accelerometers that trace the micro-vibrations of a beetle’s …

    Published in International Journal of Insects · Vol. 2, Issue 2, 2025 Read article

  • Published Subscription Review Article

    Collaborative Approaches in Using Satellite Data for Climate Action: A study

    By Shaikh Heena, Kazi Kutubuddin Sayyad Liyakat

    Abstract: As climate change continues to threaten coastal towns in many ways, satellite sensing has become an increasingly important tool for assessing and managing risk. This technology could help ecological scientists, legislators, and urban planners make better decisions, which could lead to safer and greater resilient coastal communities in the end. The use of satellite data in urban development and emergency preparedness programs has helped a lot in reducing the consequences …

    Published in International Journal of Atmosphere · Vol. 2, Issue 2, 2025 · pp. 1–9 Read article

  • Published Subscription Review Article

    The Intersection of Technology and Environmental Science: A Study of Satellite Sensing

    By Shaikh Heena, Kazi Kutubuddin Sayyad Liyakat

    Abstract: As coastal communities continue to deal with the many threats that climate change brings, satellite sensing is becoming an increasingly vital tool for assessing and managing risk. By using this technology, environmental scientists, lawmakers, and city planners can make better choices that will make coastal cities safer and stronger in the long run. Using satellite data in city planning and disaster preparedness has made a big difference in lessening the …

    Published in International Journal of Atmosphere · Vol. 2, Issue 2, 2025 · pp. 10–17 Read article

  • Published Subscription Review Article

    Modern Chemistry & Chemical Technology in Sensor Formation

    By Kazi Kutubuddin Sayyad Liyakat

    Abstract: The field of sensor formation stands at the vibrant intersection of modern chemistry and chemical technology, driven by an insatiable demand for precise, rapid, and sensitive detection across myriad applications. This paper explores the foundational and transformative role these disciplines play in engineering next-generation sensing platforms. Modern chemistry, through its atomic-level precision in synthesizing novel responsive materials – ranging from advanced polymers and supramolecular architectures to cutting-edge nanomaterials like graphene, …

    Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 1–9 Read article

  • Published Subscription Review Article

    Carbon-Based Supercapacitors Evolutionizing EVs

    By Shaikh Heena Tajoddin, Kazi Kutubuddin Sayyad Liyakat

    Abstract: The relentless pursuit of efficiency in transportation, particularly in electric and hybrid vehicles, hinges on sophisticated energy management systems. Regenerative braking, a technology that offers a significant opportunity for improving fuel economy and extending battery life. However, the effectiveness of regenerative braking is often hampered by limitations in energy storage systems. Traditional batteries, while excellent for sustained energy delivery, struggle with the rapid charge and discharge rates required by aggressive …

    Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 3, 2025 · pp. 66–76 Read article

  • Published Subscription Review Article

    AR Coatings in Solar Efficiency: A Study

    By Kazi Kutubuddin Sayyad Liyakat

    Abstract: In the global race toward renewable energy dominance, the focus often fixes upon the exotic materials within the photovoltaic cell: silicon type, junction structure, or emergent perovskites. Yet, the most immediate and profound efficiency gains are often secured by a layer so thin it is invisible, a film of optimized material applied directly to the glass interface: the Anti-Reflective (AR) coating. These coatings are not merely an expensive aesthetic choice; …

    Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 3, 2025 · pp. 26–35 Read article

  • Published Subscription Review Article

    Symmetry Principles in Digital Twin Systems: Modeling, Integration, and Applications

    By Heena T Shaikh, Kazi Kutubuddin Sayyad Liyakat

    Abstract: This systematic review comprehensively examines the burgeoning field of Digital Twin (DT) technology, analyzing its current state, diverse applications, and future trajectory. Through a rigorous methodology involving a systematic search of academic databases and relevant industry literature, this review synthesizes findings across a spectrum of disciplines. We identify the core components and underlying principles of DTs, distinguishing them from traditional simulation models by their dynamic, realtime data integration and bi-directional …

    Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 06–24 Read article

  • Published Subscription Review Article

    A Study on AI-Enhanced Environmental Toxicology: Sensor-Driven Predictive Framework

    By Shaikh A. Hakim A, Kazi Kutubuddin Sayyad Liyakat

    Abstract: Traditional environmental toxicology relies heavily on labor-intensive, often retrospective, sampling and analysis, limiting our understanding of dynamic pollutant behaviors and their real-time impact on ecosystems and human health. This study presents a novel, integrated framework leveraging advanced sensor networks and artificial intelligence (AI) to revolutionize the monitoring, assessment, and predictive modeling of environmental contaminants. We deployed a sophisticated array of multi-parameter sensors (e.g., electrochemical, optical, biosensors for heavy metals, organic …

    Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 3, 2025 Read article

  • Published Subscription Review Article

    Revolutionizing Petrology and Mineralogy: The Study of AI and Advanced Sensor Technologies

    By Kazi Kutubuddin Sayyad Liyakat

    Abstract: Petrology and mineralogy are fundamental to understanding Earth's intricate processes, from crustal evolution to economic resource formation. However, traditional methods, while precise, are often laborious, time-consuming, and occasionally subject to interpretive bias. This abstract explores the transformative potential of integrating cutting-edge Artificial Intelligence (AI) and advanced sensor technologies to revolutionize data acquisition, analysis, and interpretation in these critical geosciences. Advanced sensor technologies, including high-resolution spectral imaging (hyperspectral, Raman), automated X-ray …

    Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 1–11 Read article

  • Published Subscription Review Article

    E-Commerce Study Using AR/VR and Ethical Convergence of Commerce

    By Kazi Kutubuddin Sayyad Liyakat, Heena T. Shaikh

    Abstract: The landscape of E-commerce is undergoing a fundamental transformation, shifting from a platform-centric model of transactional exchange to an immersive, ecosystem-driven experience. This analysis examines the critical trends and disruptive forces that define the immediate and long-term trajectory of digital commerce. The study identifies three foundational pillars driving future growth: Hyper-Personalization via Generative AI, Spatial Commerce (AR/VR Integration), and Sustainable Supply Chain Resilience. Future E-commerce will be characterized by the …

    Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 20–26 Read article

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