Call for Chapters: Bio-Supercomputing in Secure Cyber-Physical Systems

Editors

BISWARANJAN SENAPATI, COEUSS LLC, United States
Satya Prakash Yadav, Madan Mohan Malaviya University of Technology, India

Call for Chapters

Proposals Submission Deadline: May 24, 2026
 Full Chapters Due: July 26, 2026
 Submission Date: July 26, 2026

Introduction

Bio-Supercomputing in Secure Cyber-Physical Systems presents an ambitious and progressive vision for integrating smart energy systems, quantum computing, and bio-supercomputing in secure cyber-physical systems. The book will hasten the transition to sustainable, energy-efficient, and secure computational ecosystems that will enable the world to achieve net-zero and digital transformation objectives. The need for sustainability and computational progress has necessitated the rapid development of energy systems in recent years. Hybridization of smart green energy systems with new paradigms in quantum computing and bio-inspired supercomputing has opened a new frontier of smart, energy-conscious, high-performance computing environments. Such systems aim to solve complex tasks such as climate change, energy optimization, and the safe processing of data. Smart green energy systems are based on artificial intelligence (AI), machine learning, and the latest control methods to manage energy generation, distribution, and consumption. These systems, together with quantum computing, provide a new level of computational power to address large-scale optimization problems, perform cryptography, and model energy. On the same note, bio-supercomputing proposes biologically inspired architectures and neuromorphic systems that are more adaptable, more parallel, and consume less energy. Cyber-physical systems (CPS) are important in bridging the gap between the physical infrastructure of energy and computational intelligence. Secure CPS models guarantee resiliency, dependability, and cybersecurity against cyber threats, which is critical in the highly interdependent energy and computing environments. The new technologies of digital twins, edge intelligence, blockchain, and secure communication protocols contribute to improved system performance and credibility.

Objective

The primary objectives of this book are: 1. To explore intelligent control strategies for integrating energy systems with quantum and bio-supercomputing platforms 2. To investigate AI-driven approaches for optimizing energy efficiency in advanced computing systems 3. To analyze secure cyber-physical architectures for energy-aware computing environments 4. To support the development of sustainable, net-zero computational infrastructures 5. To enable adaptive, autonomous, and resilient smart energy and computing systems 6. To promote secure and trustworthy data-driven decision-making in interconnected systems 7. To examine the role of quantum and bio-inspired computing in solving energy-related challenges Advanced AI techniques such as deep learning, reinforcement learning, and hybrid intelligence systems provide scalable solutions for optimizing both energy and computational efficiency in modern infrastructures.

Target Audience

This book is intended for: Researchers and academicians in energy systems, artificial intelligence, quantum computing, and computer science , Industry professionals and engineers working in smart grids, green computing, and cybersecurity, Policy makers and sustainability analysts focusing on net-zero and digital transformation strategies , Undergraduate, postgraduate, and PhD scholars in relevant disciplines It is also relevant to participants of leading conferences such as: IEEE Smart Grid and Energy Conferences IEEE Quantum Computing and Engineering (QCE) ACM SIGKDD and AI-driven data science forums International conferences on cyber-physical systems, sustainable computing, and energy informatics

Recommended Topics

1. Intelligent control in smart green energy and computing systems 2. Quantum computing for energy optimization and smart grids 3. Bio-supercomputing and neuromorphic architectures for sustainable systems 4. Cyber-physical systems and security in energy-computing integration 5. AI-driven energy management in quantum and high-performance computing 6. Renewable energy integration in data centers and computing infrastructures 7. Energy-efficient algorithms for quantum and bio-inspired systems 8. Digital twins for smart energy and computational environments 9. Edge computing and AI for real-time energy control 10. Blockchain and secure energy transactions in CPS 11. Optimization techniques for net-zero energy and computing systems 12. Predictive analytics for energy and computational workloads 13. Smart cities and intelligent infrastructure with integrated computing systems 14. Sustainable data centers and green computing technologies 15. Explainable AI and ethical considerations in intelligent systems 16. Secure communication and privacy in cyber-physical energy systems 17. Hybrid classical-quantum computing for energy applications 18. Intelligent transportation and energy-aware computing systems 19. Strategic Management of Bio-Supercomputing in Secure Cyber-Physical Systems 20. Management Frameworks for Bio-Supercomputing Integration in Secure Cyber-Physical Environments 21. Governance and Risk Management in Bio-Supercomputing for Secure Cyber-Physical Systems 22. Innovative Management Approaches for Bio-Supercomputing in Cyber-Physical System Security 23. Sustainable Management of Bio-Supercomputing Technologies in Secure Cyber-Physical Infrastructures

Submission Procedure

Researchers and practitioners are invited to submit on or before May 24, 2026, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by June 7, 2026 about the status of their proposals and sent chapter guidelines.Full chapters of a minimum of 10,000 words (word count includes references and related readings) are expected to be submitted by July 26, 2026, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Bio-Supercomputing in Secure Cyber-Physical Systems. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.

Publisher

This book is scheduled to be published by IGI Global Scientific Publishing, an international academic publisher of the "Information Science Reference", "Medical Information Science Reference", "Business Science Reference", and "Engineering Science Reference" imprints. IGI Global Scientific Publishing specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2027.

Indexing Information for Prospective Authors

IGI Global Scientific Publishing meets the criteria for inclusion in major indexing services such as Scopus; however, it is important to note that all indexing decisions are made independently by these services. IGI Global Scientific Publishing books are selectively indexed by the indexing organization after publication. Indexing cannot be guaranteed for any book prior to publication, and the indexing organization has complete control over the final selection and timeline.

Important Dates

May 24, 2026: Proposal Submission Deadline
June 7, 2026: Notification of Acceptance
July 26, 2026: Full Chapter Submission
August 30, 2026: Review Results Returned
September 27, 2026: Final Acceptance Notification
October 4, 2026: Final Chapter Submission

Inquiries

BISWARANJAN SENAPATI COEUSS LLC senapati97@gmail.com Satya Prakash Yadav Madan Mohan Malaviya University of Technology PRAKASHYADAV.SATYA@GMAIL.COM
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