MetaConstructs: The Evolution of Digital Twins in the Metaverse Era - Softcover

Softcover

ISBN 10: 0443406782 ISBN 13: 9780443406782

Publisher: Elsevier, 2026

Synopsis

MetaConstructs: The Evolution of Digital Twins in the Metaverse Era provides information on emerging fields of next-generation digital twins, with a special emphasis on developments and applications in IoT, artificial intelligence, deep learning techniques, virtual reality, augmented reality, internet of medical things (IoMT), optimization techniques, decision-making, and cloud computing. The book provides a conceptual framework and roadmap for decision-makers for this transformation. The metaverse technology represents a comprehensive virtual world where everything and everyone interacts similarly to what we would do in the real world. The concept of the metaverse has gained a lot of prominence after several cryptocurrency networks adopted the technology.

With the metaverse technology, virtual reality becomes a persistent virtual environment that exists even when you are not engaging with it. The digital twin in IoT (Internet of things) and the metaverse are the next big step in our technological evolution as these two technologies continue to shorten the gap between humans and the digital world.

• Provides a holistic discussion of digital twin and metaverse technologies, including AI, VR, AR, IoT, and IoMT.
• Offers insights about how DL and ML, computational intelligence, computer vision (CV), federated learning, and digital tools have numerous potential applications in the digital twin space, starting, of course, with the development of tools.
• Explains how to enable digital twin–based techniques and tools, and explores the real-world usage of the products they designed with all the benefits that bring.

About this title

About the Authors

Dr. Chiranji Lal Chowdhary is an Associate Professor at the School of Computer Science Engineering and Information Systems, within the
Vellore Institute of Technology, Vellore in India.

Dr. Abhishek Ranjan is Deputy Vice Chancellor at Botho University, Gaborone in Botswana.

Jyotir Moy Chatterjee is currently an Assistant Professor in Department of Computer Science and Engineering at Graphic Era (Deemed to be University), in Dehradun, India. He also serves as a Visiting Faculty member in Information Technology at Lord Buddha Education Foundation, which is affiliated with the Asia Pacific University of Technology & Innovation in Kathmandu, Nepal. His research interests focus on advancements in Machine Learning and Deep Learning.

Dr. Pawan Lingras, is a Professor in the Department of Math and Computing Science, Saint Mary's University, Halifax, Nova Scotia, in Canada.

From the Back Cover

Digital twins integrate the Internet of Things (IoT), artificial intelligence (AI), machine learning (ML), and analytics with a graphic and/or spatial representation to make animate digital simulation models that can change and develop as their physical counterpart does. A digital twin learns and updates itself continuously using real-time data from sensors on the physical asset to represent operating, environmental, and working conditions in near real time.

The metaverse technology represents a comprehensive virtual world, where everything and everyone interacts similarly to what we would do in the real world.

The digital twins in IoT and the metaverse are the next big steps in our technological evolution as these two technologies continue to shorten the gap between the human and the digital world. This book provides information on the emerging fields of next-generation digital twins with a special emphasis on emerging developments and applications of the metaverse, IoT, AI, virtual reality (VR), augmented reality (AR), Internet of Medical Things (IoMT), optimization techniques, decision-making, and cloud computing.

This book will be useful for students to develop and deploy their skills to achieve a thorough knowledge of analytics and an in-depth educational experience to focus on their unique interests. Acknowledging the huge demands of professionals in the industry today, this book has been designed to create trained computer science graduates to fulfill the requirements of the industry.

Edition details

• Publisher: Elsevier
• Publication date: 2026
• Language: English
• ISBN 10: 0443406782
• ISBN 13: 9780443406782
• Binding: Paperback
• Edition number: 1
• Number of pages: 306
• Editor: Chowdhary PhD Chiranji Lal, Ranjan Dr Abhishek, Moy Chatterjee PhD Jyotir, Lingras PhD Pawan