Business Management

AAP Advances in Materials, Manufacturing and Computational Intelligence Techniques

Next-Generation Human Digital Twins
AI, Behavioral Analytics, and Smart Workforce Governance

Editors: Dr. Varuna Gupta
Dr. Lata Bajpai Singh
Dr. Mukesh Kumar Awasthi

Not for sale at this time
Next-Generation Human Digital Twins

CALL FOR BOOK CHAPTERS
Pub Date: 
Hardback Price:
Hard ISBN: 
Pages: 
Binding Type: 
Series: AAP Advances in Materials, Manufacturing and Computational Intelligence Techniques

CALL FOR BOOK CHAPTERS

Short description about the volume:

This forthcoming book, Next-Generation Human Digital Twins: AI, Behavioral Analytics, and Smart Workforce Governance, will provide a comprehensive exploration of human resource digital twins in intelligent organizations, focusing on technological frameworks, behavioral analytics, ethical considerations, and real-world applications across sectors such as healthcare, education, social media platforms, and digital enterprises. The book aims to bring together researchers, academicians, industry practitioners, and policymakers to examine how HRDT systems can be responsibly designed and deployed to enhance workforce intelligence while ensuring ethical and transparent digital workplaces. Through interdisciplinary contributions, this volume will highlight how AI-driven digital twin systems can support workforce planning, leadership development, organizational agility, and smart decision-making in future workplaces.

Next-Generation Human Resource Digital Twins: AI, Behavioral Analytics, and Smart Workforce Governance will offer significant benefits to students, particularly those studying management, human resources, organizational psychology, information technology and engineering, ethics, and related fields. Most notably, the central theme of this publication aligns with the United Nations’ Sustainable Development Goals, with particular emphasis on SDG 8 (Decent Work and Economic Growth), SDG 9 (Industry, Innovation, and Infrastructure), and SDG 12 (Responsible Consumption and Production). Consequently, the content of this volume constitutes a meaningful contribution to global development by promoting ethical innovation, responsible AI adoption, and human-centered digital transformation.

COVERAGE

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

Section I: Foundations and Technological Frameworks of Human Digital Twins
1. Modeling Human Behavior: From IoT Sensors to Predictive AI
2. Architectures and System Design of Human Digital Twins
3. Digital Twins and Smart Systems: Transforming Patient Care through AI Integration
4. Revolutionizing Classroom Engagement through Digital Twins with AI in Indian Higher Educational Institutions

Section II: Socio-Ethical and Psychological Perspectives of Digital Twins
5. Understanding and Addressing the Socio-Ethical Implications of Digital Twin Technology in Healthcare
6. Care or Surveillance? Human Digital Twins and the Ethics of Mental Health Monitoring in the Workplace
7. The Adolescent Mind in the Algorithmic Age: A Psychosocial Enquiry into Vulnerability to Political Misinformation

Section III: AI Fairness, Bias, and Responsible Digital Intelligence
8. Evaluation of AI Fairness and Bias in Social Platforms: Sources, Impacts, and Alternative Strategies
9. Bias and Fairness in Behaviour-Based Artificial Intelligence Models
10. Trust and Transparency in AI-Driven Workplace Systems: A Bibliometric Analysis of Work–Life Balance

Section IV: Human Resource Digital Twins and Organizational Transformation
11. Managerial Support and Career Advancement in Remote AI-Enabled Workplaces: A Multi-Sectoral Analysis
12. AI-Augmented Leadership and Emotional Intelligence Modeling in Industrial Settings
13. Embedding the Sustainable Development Goals into Brand Strategy: The Strategic Role of Human Resource Practices in Enabling Sustainable Marketing
14. Organizational Agility as a Key Driver of Innovative Performance in IT-Enabled Service Organizations
15. Future Directions of Human Digital Twins in Smart and Hybrid Work Environments

Important Dates:
Abstract Submission (200 – 300 words) Deadline: April 30th, 2026
Notification of Acceptance: June 25th, 2026
Full Chapter (5,000 – 6,000 words) Submission Due: On or before July 30th, 2026


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 April 30th, 2026. Please include the chapter title and author details within the proposal. Authors will be notified regarding the acceptance of their proposals by May 25th, 2026. Accepted authors will be required to submit completed chapters of 18 to 22 pages by July 30th, 2026. 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: call4chaptershrdt@gmail.com


Authors must refer to the following link for detailed guidelines for chapter preparation:


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. Varuna Gupta

Dr. Varuna Gupta is an Associate Professor in the School of Sciences at CHRIST (Deemed to be University), Delhi NCR Campus, with over 18 years of teaching and research experience. She has published 30+ research papers in reputed national and international journals, including 26+ Scopus-indexed publications and several articles in Q1 and Q2 journals. Along with guiding PhD scholars, Dr. Gupta has demonstrated strong research supervision and mentoring expertise in machine learning and artificial intelligence for postgraduate and undergraduate students. Her current research interests include Machine Learning and Artificial Intelligence applications in wireless networks.

Dr. Lata Bajpai Singh

Dr. Lata Bajpai Singh is an Assistant Professor in the Department of Management Studies at Babasaheb Bhimrao Ambedkar University (A Central University), Lucknow, India. With over 19 years of experience in teaching, research, and consultancy, she has established herself as an accomplished academic in Human Resource Management, Entrepreneurship Development, and Qualitative Research Methods. She has 30 SCOPUS-indexed publications, including 7 in ABDC “A”- ranked journals such as the International Journal of Human Resource Management, Knowledge Management Research & Practice, Journal of Consumer Marketing, and the International Journal of Conflict Management. She received the Emerald Literati Award (2022) and the Research & Academic Excellence Award from BBAU in 2020, 2022, and 2023. Her research activities include funded projects, such as the ICSSR Empirical Research Grant (2023) and the AICTE-sponsored Faculty Development Programme (2021), as well as consultancy projects. Additionally, she is actively engaged in training and outreach, delivering numerous FDPs, MDPs, and workshops. Her academic philosophy is centered on integrating research-driven insights into pedagogy, promoting entrepreneurial thinking among students, and advancing inclusive social and economic development through research and consultancy.

Dr. Mukesh Kumar Awasthi

Dr. Mukesh Kumar Awasthi has done his PhD on the topic “Viscous Correction for the Potential Flow Analysis of Capillary and Kelvin-Helmholtz instability”. He is working as an Assistant Professor in the Department of Mathematics at Babasaheb Bhimrao Ambedkar University, Lucknow. Dr. Awasthi is specialized in the mathematical modeling of flow problems. He has taught courses of Fluid Mechanics, Discrete Mathematics, Partial differential equations, Abstract Algebra, Mathematical Methods, and Measure theory to postgraduate students. He has acquired excellent knowledge in the mathematical modeling of flow problems and he can solve these problems analytically as well as numerically. He has a good grasp of the subjects like viscous potential flow, electro-hydrodynamics, magneto-hydrodynamics, heat, and mass transfer. He has excellent communication skills and leadership qualities. He is self-motivated and responds to suggestions in a more convincing manner. Dr. Awasthi has qualified National Eligibility Test (NET) conducted on all India level in the year 2008 by the Council of Scientific and Industrial Research (CSIR) and got Junior Research Fellowship (JRF) and Senior Research Fellowship (SRF) for doing research. He has published 150 plus research publications (journal articles/books/book chapters/conference articles) in Elsevier, Taylor & Francis, Springer, Emerald, World Scientific, and many other national and international journals and conferences. Also, he has published 26 books. He has attended many symposia, workshops, and conferences in mathematics as well as fluid mechanics. He has got the “Research Awards” consecutively four times from 2013-2016 by the University of Petroleum and Energy Studies, Dehradun, India. He has also received the start-up research fund for his project “Nonlinear study of the interface in multilayer fluid system” from UGC, New Delhi. He is also listed in the top 2% influential researchers in the World prepared by Stanford University based on Scopus data in 2023-25. His Orcid is 0000-0002-6706-5226, Google Scholar web link is https://scholar.google.co.in/citations?user=Dj3ktGAAAAAJ and research gate web link ishttps://www.researchgate.net/profile/Mukesh-Awasthi-2.




Follow us for the latest from Apple Academic Press:
Copyright © 2026 Apple Academic Press Inc. All Rights Reserved.