Computer Science & Information Management

AAP Advances in Materials, Manufacturing and Computational Intelligence Techniques

Quantum Intelligence for Adaptive Smart Environments Using AI and IoT
Editors: Dr. Mudassir Khan
Dr. Rajesh Dey
Dr. Vanita Kshirsagar

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Quantum Intelligence for Adaptive Smart Environments Using AI and IoT

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Series: AAP Advances in Materials, Manufacturing and Computational Intelligence Techniques

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Quantum Intelligence is a next-generation product of the interfacing of AI and the Internet of Things to create adaptive smart environments. These adaptive environments cut across sectors—healthcare, urban infrastructure, industries, and so on—and need next-generation computational frameworks to ensure real-time decision-making, efficiency, and sustainability. Quantum computing-based massive parallelism enhances and accelerates complex data analysis for AI, thereby opening new horizons in pattern recognition, optimization, and prediction, while on the other hand, integrated with IoT, these systems become capable of sensing, communicating, and adapting in real-time, in smart homes, autonomous vehicles, or intelligent healthcare settings.

Thus, this integrated approach forms dynamic ecosystems that self-regulate, learn, and evolve with almost no human interference. Prepared for researchers, engineers, collegiate-level academics, and technology innovators, the forthcoming book, Quantum Intelligence for Adaptive Smart Environments Using AI and IoT, will provide a fairly complete overview of the fundamental concepts, major methodologies, and case studies. It will introduce readers to quantum machine learning for smart infrastructure, edge AI based on quantum-secure IoT, context-aware ambient intelligence, and quantum cryptography for data privacy. Furthermore, in-depth discussions on ethical frameworks, cybersecurity issues, and models for the sustainable deployment of adaptive environments will also be presented. The book will exhibit how quantum-enabled AI and IoT could transform such applications as smart healthcare, environmental monitoring, urban planning, and industrial automation with cross-disciplinary insight and futuristic vision.

Tying quantum concepts with practical applications, Quantum Intelligence for Adaptive Smart Environments using AI and IoT unfolds as a guidepost into the complex landscape filled with opportunities that next-generation intelligent systems promise to offer.

COVERAGE

Submission of book chapters should be focused on the following key highlights:

• Introduction to Quantum Intelligence for Adaptive Smart Environments
• Fundamentals of Quantum Computing and Quantum Machine Learning
• Artificial Intelligence in Adaptive and Context-Aware Systems
• Internet of Things (IoT) and Edge Computing in Smart Environments
• Integration of Quantum Computing, AI, and IoT for Intelligent Ecosystems
• Quantum-Enhanced Data Analytics and Predictive Decision-Making
• Real-Time Sensing and Actuation with Edge AI and IoT Devices
• Quantum Cryptography and Secure Communication in Adaptive Systems
• Intelligent Infrastructure: Smart Cities, Buildings, and Transport
• Quantum Intelligence in Healthcare and Personalized Wellbeing
• Industrial Automation and Environmental Monitoring with Quantum-AI-IoT
• Ethical, Privacy, and Governance Challenges in Quantum-Driven Systems
• Case Studies: Applications in Healthcare, Urban Planning, and Industry 4.0
• Future Directions and Emerging Trends in Quantum-Enabled Smart Environments

Important Dates:
Abstract Submission (200 – 300 words) Deadline: September 20th, 2025
Notification of Acceptance: September 25th, 2025
Full Chapter (4,000 – 6,000 words) Submission Due: On or before Nov15th, 2025

Submission procedure:
We invite researchers and practitioners to contribute original chapters to this book. Prospective authors are encouraged to submit a one-page chapter proposal or abstract outlining the proposed chapter’s content, objectives, and methodology by September 20th, 2025. Please include the chapter title and author details within the proposal. Authors will be notified regarding the acceptance of their proposals by September 25th, 2025. Accepted authors will be required to submit completed chapters of 15 to 20 pages by Nov 15th, 2025. All submitted chapters will undergo a rigorous peer-review process.

To submit your proposal or full-length chapter, please send a Word document attachment to editors: rrm2025@gmail.com

Authors must refer to the following link for detailed guidelines for chapter preparation: http://www.appleacademicpress.com/publishwithus

Note: Authors submitting manuscripts to this book do not incur any publication fees. To ensure the originality and quality of the content, all submissions must be previously unpublished and not under consideration for publication in any other venue.


About the Authors / Editors:
Editors: Dr. Mudassir Khan

An accomplished academic, researcher, author, and consultant with expertise in computer science and data analytics. He holds an MCA and a PhD in Big Data Analytics using Deep Learning. Dr. Khan has contributed significantly to the field as an Assistant Professor at King Khalid University. His expertise includes Big Data, Deep Learning, Machine Learning, Data Science, IoT, and AI, with a focus on medical imaging in healthcare.

Dr. Rajesh Dey

A distinguished researcher, educator, and industry expert specializing in artificial intelligence (AI), machine learning (ML), and financial technology (FinTech). Currently a Postdoctoral Fellow at IIUM, Malaysia, his research focuses on AI and ML applications in FinTech, with expertise in computer simulations and signal processing.

Dr. Vanita Kshirsagar

An accomplished academic with over 18 years of experience in teaching and research in the field of computer science and engineering. She holds a PhD from Amity University and a Master of Engineering (ME) in Computer Engineering from MIT College of Engineering, Pune.




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