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Intelligent Systems of Computing and Informatics

About the Book Series

Intelligent Systems of Computing and Informatics (ISCI) is a CRC Press series advancing the science and application of intelligent computing for Industrial Revolution 4.0 (IR4.0), Society 5.0, and delivery of the United Nations Sustainable Development Goals (SDGs), including pathways toward carbon net-zero through energy computing. The rapid adoption of AI-enabled automation—such as predictive maintenance across manufacturing, oil and gas pipelines, chemical processing, and smart infrastructure—alongside growth in fintech, IoT ecosystems, and data-intensive decision-making, underscores the need for trusted, high-impact references that connect theory with deployment.

The series publishes innovative contributions spanning artificial and machine intelligence, advanced machine learning, big data analytics, IoT, natural language processing, Education 4.0, cybersecurity and safety, smart decision systems, software engineering, business analytics, fintech, and emerging techniques in computing and informatics. The series prioritizes work that demonstrates measurable societal and industrial value, including reproducible methods, scalable architectures, and evidence-based case studies.

Suitable submissions include research monographs, reference and handbook-style volumes, state-of-the-art surveys and reviews, and edited collections featuring in-depth applications and lessons learned. The series aligns strongly with SDG 2 (Zero Hunger/Agriculture), SDG 4 (Quality Education), and SDG 9 (Industry, Innovation & Infrastructure).

1 Series Title


The Future of Learning AI, Ethics, and Sustainability in Higher Education

The Future of Learning: AI, Ethics, and Sustainability in Higher Education

1st Edition

Forthcoming

Edited By Mazni Omar, Samsul Ariffin Abdul Karim, Yuto Lim
November 02, 2026

This book examines AI's transformative impact on higher education, from enhancing teaching and learning to raising ethical challenges like academic integrity and bias. It provides a balanced exploration of AI-driven tools, policies, and governance, aligning with SDG 4: Quality Education, to ensure ...

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