Engineering the Metaverse: Enabling technologies, platforms and use cases

by Pethuru Raj (Editor), Prasanna Kumar (Editor), D.P. Sharma (Editor), Kavita Saini (Editor), B. Narendra Kumar Rao (Editor)

Overview

The metaverse offers a new way of interacting with the world via immersive and interactive technologies. It has the potential to change the way we learn, work and play. 3D modelling, artificial intelligence, virtual, augmented, extended and mixed reality (VR/AR/XR/MR), the Internet of Things (IoT), Web 3.0, 5G and 6G communication, digital twins and simulation technologies, edge and cloud computing, blockchain and cybersecurity are seen as the key enabling and supporting technologies and tools for establishing the next generation metaverse environments. Industrial verticals are keen to embrace the flexible paradigm of the metaverse to be more resilient and relevant to their customers and consumers.

This book focuses on the contributing and enabling technologies and use cases for the metaverse including engineering techniques, deployment environments and integrated platforms for designing and developing metaverse applications.

Engineering the Metaverse: Enabling technologies, platforms and use cases is aimed at industry and academic researchers, scientists, engineers, architects and programmers working in the fields of information and communication technologies, 5G and 6G communication, AI, data science, IoT, edge and cloud computing, cybersecurity and automation with a focus on immersive technologies. It will also be a useful reference for lecturers and advanced students, and product and project managers as well as developers in the field of the metaverse.

Product Details

ISBN-13:	9781839538803
Publisher:	The Institution of Engineering and Technology
Publication date:	03/15/2025
Series:	Computing and Networks
Pages:	438
Product dimensions:	6.14(w) x 9.21(h) x (d)

About the Author

Pethuru Raj is chief architect in the Edge AI division of Reliance Jio Platforms Ltd., Bangalore, India. He focuses on emerging technologies such as the metaverse, Internet of Things (IoT), artificial intelligence (AI) model optimization, big and streaming data analytics, blockchain, digital twins, cloud-native and edge computing, and 5G/6G. He has authored and edited 40+ books and contributed 40+ book chapters. He is a professional member of ACM.

Prasanna Kumar is senior VP (cloud ops) and chief data scientist (AI & data platform) at Business Optima, USA. His AI & ML technology solutions have been deployed in companies such as Apple, Tesla, Microsoft, Amazon and Johnson & Johnson. He is the co-creator of the Pulse Engine and was the first to introduce multi-sentiment classification more than a decade ago, which is now prevalent in the industry. He is a member of the IET.

D.P. Sharma is a computer scientist and research adviser at the Department of Computer Science of MAISM, Rajasthan Technical UniversityKota, India. He has been on lien leave to serve foreign assignments since 2008. He is a disability rights activist involved in designing policies for inclusive internet access. He has actively participated in the United Nations Internet Governance Forum (IGF) and presided over the sessions of Govt of India's IGF.

Kavita Saini is an associate professor at the School of Computing Science and Engineering, Galgotias University, India. Her research interests include web-based instructional system (WBIs), software engineering, blockchain and database. She has published several academic books. She is a member of the IEEE. She holds a PhD in web-based instructional systems from Banasthali Vidyapeeth, Rajasthan, India.

B. Narendra Kumar Rao is a professor in the School of Computing, Mohan Babu University, Tirupat, India. His research interests include software testing, embedded systems and machine learning. He was the convener for the International Conference on Data Analytics, and Intelligent Computing and Cyber Security. He has edited two conference proceedings. He received his PhD degree in CSE from Jawarharlal Nehru Technological University, Hyderabad, India.

Harshavardhan Kosuri is CTO and co-founder of Aautiverse, Hyderabad, India. He is a metaverse, AI & ML leader who has created Deep Tech platforms with metaverse and AI technologies for Metaverse Real-estate, Edutech, eSports, digital payments, recruitment platforms and eCommerce industries. He is a research schooler in Metaverse. He is skilled in software development life cycle (SDLC), requirements analysis, agile methodologies, software development, infrastructure and software project management.

Nagendra Panini Challa is an associate professor in the School of Computer Science and Engineering (SCOPE) at VIT-AP University, India. His research interests include Computer Vision, Ontology and Machine Learning. He is the IET Hyderabad Region Young Professional Chair in India. He has initiated the IET student chapter at VIT-AP with 150+ student and professional members in this region. He is an active reviewer for several SCI-indexed journals and conferences.

R. Ranjana is an associate professor in the Department of Artificial Intelligence and Data Science, Dr. Mahalingam College of Engineering and Technology. Her research interests include deep learning and its applications. She is actively involved in organizing IEEE conferences. She has served as a journal editorial member and reviewer. She is a member of the IEEE and a life member of CSI. She received her PhD on energy aware resource management in cloud data centers from Anna University, India.

Table of Contents

• Chapter 1: Demystifying metaverse system engineering
• Chapter 2: Metaverse enabling technologies and industry use cases
• Chapter 3: Virtual, augmented, mixed, and extended reality for the metaverse
• Chapter 4: Immersive technologies for the metaverse
• Chapter 5: 3D modeling for the metaverse
• Chapter 6: Generative AI for the enterprise metaverse system engineering
• Chapter 7: Digital twin and metaverse
• Chapter 8: Metaverse world and seven layers
• Chapter 9: The convergence of spatial computing, edge computing, neuromorphic computing, HPC, quantum computing, and data analytics for the metaverse
• Chapter 10: The convergence of Web 3.0 with AR, VR, IoT, and AI for shaping metaverse engineering
• Chapter 11: Detailing the unique power of the blockchain technology for the metaverse world
• Chapter 12: Metaverse use cases (individual and industrial) and application domains
• Chapter 13: Application domains for the metaverse
• Chapter 14: Illustrating metaverse-driven smart manufacturing
• Chapter 15: The metaverse as an educational tool: enhancing learning with blockchain technology
• Chapter 16: IoT, AI, and metaverse in smart healthcare systems: a review of recent advances and future trends
• Chapter 17: Application of metaverse in regenerative medicine: applications and challenges
• Chapter 18: Metaverse for heart illness prediction and analysis
• Chapter 19: Metaverse for Indian palm leaf manuscripts
• The conclusion and the future of the metaverse