INFORMS Open Forum

This Springer book series investigates the transformative influence of data analytics and artificial intelligence (AI) on modern smart systems. Driven by the convergence of big data, AI, the Internet of Things (IoT), cloud computing, and Web 3.0, these technologies are revolutionizing industries and reshaping societal structures. The series critically examines how these innovations optimize processes, enhance decision-making, and drive cross-sector innovation.

Beyond core themes like AI/IoT integration and interdisciplinary applications (e.g., healthcare, finance, smart cities), the series prioritizes emerging trends, including Generative AI, Artificial General Intelligence (AGI), blockchain, quantum computing, and the decentralized potential of Web 3.0. Crucially, it also highlights ethical and governance considerations, fostering research on responsible AI development, data security and privacy, and bias mitigation in algorithmic decision-making.

Potential book topics include:

• Foundations of AI and Data Analytics: Fundamental principles applied to smart systems, covering machine learning, deep learning, predictive analytics, IoT, and edge computing.
• Designing and Developing Smart Systems: System architecture, AI integration strategies, human-centered design, real-time decision-making, automation, and optimization.
• Industry-Specific Applications: AI applications across sectors, including healthcare diagnostics, financial fraud detection, smart city solutions, and retail customer insights.
• Ethics, Governance, and Security: Ethical considerations in AI, data governance frameworks, privacy-preserving techniques, secure data sharing, and bias mitigation.
• Emerging Technologies and Future Trends: Impact of Generative AI, AGI, humanoid robotics, intelligent automation, blockchain, quantum computing, and sustainable AI applications.
• Case Studies and Real-World Implementations: Analyses of successful AI-powered smart systems, detailing lessons learned, impacts, and best practices.

Bridging theory and practice through research and case studies, this series is a vital resource for researchers, practitioners, and policymakers. Its distinct emphasis on ethics and emerging technologies, including Web 3.0's transformative potential, positions it as a leading guide for shaping responsible and sustainable AI-driven smart systems.

Contribute to the Series:

If you are interested in contributing to this series, please contact Robin Qiu at robinqiu@psu.edu.

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Robin Qiu
Professor
Penn State
United States
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Hello:

I am interested in contributing a chapter for a book in this series under "Industry-Specific Applications". My topic will focus around AI in security applications, particularly biometrics. Please let me know how to proceed here. 

Thank you,

Sinjini

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Sinjini Mitra
Professor
California State University, Fullerton
Fullerton CA
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Original Message:
Sent: 04-06-2025 08:37
From: Robin Qiu
Subject: Authoring a book for the Book Series: Advances in Data Analytics, AI, and Smart Systems

This Springer book series investigates the transformative influence of data analytics and artificial intelligence (AI) on modern smart systems. Driven by the convergence of big data, AI, the Internet of Things (IoT), cloud computing, and Web 3.0, these technologies are revolutionizing industries and reshaping societal structures. The series critically examines how these innovations optimize processes, enhance decision-making, and drive cross-sector innovation.

Beyond core themes like AI/IoT integration and interdisciplinary applications (e.g., healthcare, finance, smart cities), the series prioritizes emerging trends, including Generative AI, Artificial General Intelligence (AGI), blockchain, quantum computing, and the decentralized potential of Web 3.0. Crucially, it also highlights ethical and governance considerations, fostering research on responsible AI development, data security and privacy, and bias mitigation in algorithmic decision-making.

Potential book topics include:

• Foundations of AI and Data Analytics: Fundamental principles applied to smart systems, covering machine learning, deep learning, predictive analytics, IoT, and edge computing.
• Designing and Developing Smart Systems: System architecture, AI integration strategies, human-centered design, real-time decision-making, automation, and optimization.
• Industry-Specific Applications: AI applications across sectors, including healthcare diagnostics, financial fraud detection, smart city solutions, and retail customer insights.
• Ethics, Governance, and Security: Ethical considerations in AI, data governance frameworks, privacy-preserving techniques, secure data sharing, and bias mitigation.
• Emerging Technologies and Future Trends: Impact of Generative AI, AGI, humanoid robotics, intelligent automation, blockchain, quantum computing, and sustainable AI applications.
• Case Studies and Real-World Implementations: Analyses of successful AI-powered smart systems, detailing lessons learned, impacts, and best practices.

Bridging theory and practice through research and case studies, this series is a vital resource for researchers, practitioners, and policymakers. Its distinct emphasis on ethics and emerging technologies, including Web 3.0's transformative potential, positions it as a leading guide for shaping responsible and sustainable AI-driven smart systems.

Contribute to the Series:

If you are interested in contributing to this series, please contact Robin Qiu at robinqiu@psu.edu.

------------------------------
Robin Qiu
Professor
Penn State
United States
------------------------------