Journals

  • Journal of Integrated Science, AI and Engineering

    Journal of Integrated Science, AI and Engineering (JISAE) is a peer-reviewed, multidisciplinary international journal dedicated to advancing innovative research at the intersection of science, artificial intelligence, and engineering. The journal provides a high-quality scholarly platform for researchers, academicians, industry professionals, and policymakers to publish original research articles, review papers, case studies, and technical communications that address emerging challenges and transformative technologies.

    JISAE emphasizes integrative and cross-disciplinary research that bridges fundamental scientific discoveries with practical engineering solutions powered by intelligent systems. The journal welcomes contributions in areas including Artificial Intelligence and Machine Learning, Data Science, Computational Modeling, Smart Systems, Robotics, IoT, Cybersecurity, Sustainable Engineering, Biomedical Technologies, Advanced Materials, and Digital Transformation.

    With a rigorous double-blind peer review process and a strong commitment to research integrity, innovation, and global collaboration, the Journal of Integrated Science, AI and Engineering aims to foster impactful knowledge dissemination and support technological advancements that contribute to sustainable and intelligent development worldwide.

  • Journal of Sustainable Science and Digital Transformation

    Journal of Sustainable Science and Digital Transformation (JSSDT) is an international, peer-reviewed multidisciplinary journal committed to advancing research that integrates sustainability principles with emerging digital technologies. The journal serves as a global platform for scholars, scientists, engineers, policymakers, and industry leaders to publish high-quality research addressing environmental responsibility, technological innovation, and sustainable development in the digital era.

    JSSDT focuses on transformative solutions that combine scientific discovery with digital innovation to create resilient, efficient, and future-ready systems. The journal welcomes original research articles, systematic reviews, case studies, technical reports, and policy analyses in areas such as Sustainable Engineering, Green Computing, Artificial Intelligence for Sustainability, Climate Technology, Renewable Energy Systems, Smart Cities, Circular Economy, Digital Governance, ESG Analytics, Blockchain for Transparency, and Industry 4.0 for Sustainable Manufacturing.

    Through a rigorous double-blind peer review process and adherence to the highest standards of research ethics, JSSDT aims to bridge the gap between science, technology, and sustainable practice. The journal aspires to become a leading forum for interdisciplinary collaboration, driving digital transformation that supports long-term environmental stewardship, social responsibility, and economic resilience worldwide.

     
     

  • Journal of Interdisciplinary Research in Science and Technology

    Journal of Interdisciplinary Research in Science and Technology (JIRST) is a peer-reviewed, international scholarly journal dedicated to publishing high-quality research that bridges diverse domains within science and technology. The journal provides an inclusive platform for researchers, academicians, innovators, and industry experts to present original contributions that integrate theoretical insights with practical technological applications.

    JIRST emphasizes cross-disciplinary collaboration and encourages research that transcends traditional boundaries between scientific discovery and engineering implementation. The journal welcomes original research articles, review papers, technical notes, and case studies in areas such as Artificial Intelligence and Data Science, Advanced Materials, Sustainable Energy Systems, Biomedical Engineering, Computational Sciences, Cybersecurity, Internet of Things, Robotics, Environmental Technologies, and Emerging Digital Innovations.

    With a strong commitment to academic rigor, transparency, and global impact, the Journal of Interdisciplinary Research in Science and Technology follows a structured double-blind peer review process to ensure excellence and integrity in published work. The journal aims to foster innovation, promote knowledge exchange, and contribute to technological advancement that addresses complex global challenges.

     
     

  • Global Transactions on Science and Advanced Technologies

    Global Transactions on Science and Advanced Technologies (GTSAT) is an international, peer-reviewed multidisciplinary journal dedicated to publishing impactful research that advances scientific knowledge and cutting-edge technological innovation. The journal serves as a global forum for researchers, academicians, engineers, and industry professionals to disseminate transformative findings that address contemporary challenges and drive next-generation solutions.

    GTSAT focuses on high-quality original research articles, comprehensive review papers, technical communications, and applied case studies spanning core and emerging domains of science and technology. Key areas include Artificial Intelligence and Machine Learning, Advanced Computing Systems, Smart Infrastructure, Renewable and Sustainable Technologies, Nanotechnology, Robotics and Automation, Cybersecurity, Biomedical Innovations, Materials Science, and Digital Engineering.

    With a rigorous double-blind peer review process and adherence to international publication ethics, Global Transactions on Science and Advanced Technologies promotes interdisciplinary collaboration and knowledge exchange across global research communities. The journal aspires to become a distinguished platform for scientific excellence, technological leadership, and innovation-driven progress worldwide.

  • International Journal of Sustainable Digital and Computing Systems

    International Journal of Sustainable Digital and Computing Systems is a peer-reviewed, multidisciplinary journal dedicated to advancing research at the intersection of sustainability, digital transformation, and advanced computing technologies. The journal provides a global platform for scholars, researchers, engineers, and industry professionals to publish innovative work that promotes environmentally responsible and socially impactful technological development.

    IJSDCS welcomes original research articles, review papers, technical notes, and case studies in areas such as Sustainable Computing, Green AI, Cloud and Edge Computing, Smart Infrastructure, Renewable Energy Informatics, Cybersecurity, Internet of Things, Data Analytics for Sustainability, Digital Governance, and Industry 4.0. The journal encourages integrative research that combines computational intelligence with sustainable engineering practices to build resilient and future-ready systems.

    Through a rigorous double-blind peer review process and strict adherence to international publication ethics, IJSDCS aims to foster global collaboration, accelerate responsible digital innovation, and contribute meaningfully to sustainable scientific and technological advancement.

     
     

  • Architecting the Intelligent Future

    The rapid convergence of data analytics, artificial intelligence, cloud-native systems, and secure digital technologies is redefining how modern enterprises operate, innovate, and compete. Organizations today are no longer driven solely by scale or automation; they are shaped by intelligence, agility, trust, and responsible use of technology. This book, Architecting the Intelligent Future, is conceived to serve as a comprehensive guide to this transformation, bringing together foundational concepts, advanced architectures, and real-world applications that collectively define intelligent digital enterprises.

    The journey begins with an exploration of how technology convergence is reshaping enterprises, highlighting the integration of data, AI, cloud platforms, and security as a unified strategic capability rather than isolated technical domains. As data becomes the backbone of decision-making, the book delves into modern data analytics and architectures, addressing how organizations can design scalable, resilient, and insight-driven data ecosystems. Emphasis is placed on real-time and big data systems that enable timely, intelligent insights critical for dynamic business environments.

    Artificial intelligence and machine learning form a central pillar of this work. Readers are introduced to core AI and ML principles before progressing to advanced systems such as deep learning, natural language processing, and intelligent automation. These chapters bridge theory and practice, helping readers understand not only how AI works but how it can be effectively embedded into enterprise systems to drive innovation and efficiency.

    Cloud computing and cloud-native architectures are presented as enablers of scalability, flexibility, and rapid innovation. The book discusses modern architectural paradigms including microservices, containers, and platform engineering, illustrating how enterprises can build systems that are modular, resilient, and ready for continuous evolution. Alongside this, DevOps and agile delivery models are examined as essential practices for achieving speed, quality, and scalability in software and system development.

    Security, trust, and compliance are treated as first-class concerns throughout the enterprise architecture. Dedicated discussions on cybersecurity architecture, data privacy, governance, and regulatory compliance reflect the growing importance of protecting digital assets, ensuring ethical data usage, and maintaining stakeholder trust in an increasingly regulated and threat-prone digital landscape.

    The book also highlights sector-specific applications, demonstrating how AI and analytics are transforming domains such as finance, fintech, and healthcare. These examples showcase the tangible impact of intelligent systems on operational efficiency, risk management, personalization, and societal outcomes. The concluding perspective looks toward ethical AI, responsible innovation, and the future trajectory of intelligent enterprises, emphasizing the need to balance technological advancement with transparency, fairness, and human values.

    Architecting the Intelligent Future is intended for researchers, industry professionals, architects, policymakers, and advanced students who seek a holistic understanding of intelligent enterprise systems. By combining conceptual clarity with architectural insights and practical relevance, this book aims to equip readers to design, build, and govern digital enterprises that are intelligent, secure, and sustainable in the years to come.

  • Agentic Intelligence and the Future of Autonomous Digital Ecosystems

    The rapid evolution of Artificial Intelligence (AI) is reshaping the foundations of modern society, transforming how individuals, organizations, and governments interact with technology. Among the most significant developments in this transformative journey is the emergence of Agentic Intelligence—a paradigm that empowers AI systems to act autonomously, make context-aware decisions, collaborate with other intelligent agents, and continuously adapt to dynamic environments. As digital ecosystems become increasingly interconnected, the convergence of autonomous agents, advanced machine learning, distributed computing, and intelligent automation is paving the way for a new era of self-organizing and self-evolving digital infrastructures.

    Agentic Intelligence and the Future of Autonomous Digital Ecosystems explores this groundbreaking frontier, bringing together diverse perspectives from researchers, academicians, industry practitioners, and technology innovators. The chapters in this volume examine the theoretical foundations, technological advancements, practical applications, ethical considerations, and future trajectories of agentic systems that are redefining the digital landscape.

    The concept of Agentic Intelligence extends beyond conventional AI models by emphasizing autonomy, goal-oriented behavior, adaptability, collaboration, and proactive decision-making. These intelligent agents possess the ability to perceive their environment, reason about complex situations, learn from experiences, and interact with humans and machines to achieve desired outcomes. Such capabilities are becoming increasingly essential in domains including smart cities, healthcare, cybersecurity, finance, education, industrial automation, digital governance, and autonomous transportation.

    This book highlights how autonomous digital ecosystems are emerging as interconnected networks of intelligent agents capable of coordinating activities, optimizing resources, and responding to real-time challenges with minimal human intervention. These ecosystems represent a significant shift from static digital systems toward adaptive environments that can continuously evolve, innovate, and self-regulate.

    While the opportunities presented by Agentic Intelligence are immense, they also raise critical questions regarding trust, transparency, accountability, privacy, security, and ethical governance. Several chapters in this volume address these challenges, offering frameworks and strategies to ensure that autonomous systems remain aligned with human values and societal goals. The discussions presented herein emphasize the importance of responsible innovation and multidisciplinary collaboration in shaping the future of intelligent digital ecosystems.

    This book would not have been possible without the valuable contributions of the authors, reviewers, and scholars who generously shared their expertise and insights. We extend our sincere gratitude to all contributors whose research and dedication have enriched this volume. We also thank the publishing team for their support and commitment throughout the development of this work.

    We hope that this book serves as a valuable resource for researchers, educators, students, policymakers, technology professionals, and anyone interested in understanding the transformative potential of Agentic Intelligence. As we stand at the threshold of a future where autonomous digital ecosystems become integral to everyday life, it is our aspiration that the ideas presented in this book will inspire further research, innovation, and thoughtful dialogue.

    The future of intelligent systems is not merely about automation—it is about creating adaptive, collaborative, and trustworthy digital ecosystems that augment human capabilities and contribute to a more connected, efficient, and sustainable world.

    Editors