Overview

The recent advancements in the field of the internet of things (IoT), AI, big data, blockchain, augmented reality (AR)/virtual reality (VR), cloud platforms, quantum computing, cybersecurity, and telecommunication technology enabled the promotion of conventional computer-aided industry to the metaverse ecosystem that is powered by AR/VR-driven technologies. In this paradigm shift, the integrated technologies of IoT and AI play a vital role to connect the cyberspace of computing systems and virtual environments. AR/VR supports a huge range of industrial applications such as logistics, the food industry, and manufacturing utilities. AI-Based Technologies and Applications in the Era of the Metaverse discusses essential components of the metaverse ecosystem such as concepts, methodologies, technologies, modeling, designs, statistics, implementation, and maintenance. Covering key topics such as machine learning, deep learning, quantum computing, and blockchain, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

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9781668488515

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Alex Khang is Professor of Information Technology, VUST, SEFIX, EDXOPS, Universities of Science and Technology in Vietnam, and United States; CTO, AI Specialist and Data Scientist, Global Research Institute of Technology and Engineering, North Carolina, United States. He has 28+ years of working experience, teaching experience, and research experience in Information Technology (Software Development, Database Technology, AI Engineering, Data Engineering, Data Science, Data Analytics, IoT-based Technologies, and Cloud Computing) at the Universities of Technology and Science in USA, EU, India, and Vietnam. He has published 52 authored books (in Computer science year 2000-2010 in Vietnamese), 02 authored books (Software development), 10 book chapters, 04 edited books, and 04 edited books (calling for book chapters) in the field of AI Ecosystem (AI, ML, DL, Robotics, Data Science, Big Data, and IoT), Smart City Ecosystem, Healthcare Ecosystem, Fintech technology, and Blockchain technology (since year 2020). Vrushank Shah, Assistant Professor, Department of Electronics & Communication, Engineering, IITE, Indus University, India. He has more than 13 years of continuous teaching and research experience in Electronics Engineering, Communication Engineering, Cyber Security, Data Mining, Machine Learning, and the Internet of Things. He has advised over 12 Postgraduate students and over 30 Undergraduate students on their dissertation/project work. He has around 11 peer-reviewed research articles in the domains of cybersecurity, IoT, and communication systems, and he has served as a session chair for several national and international conferences. He has served as a reviewer for over ten SCI/Scopus journals. He is coeditor of 04 edited books (calling for book chapters for IGI Global, Taylor and Francis Group) in the fields of AI Ecosystem (AI, Robotics, Data Science, Big Data, and IoT). ORCID: 0000-0002-5619-7100. Sita Rani is a Faculty of Computer Science and Engineering at Guru Nanak Dev Engineering College, Ludhiana. Earlier, she has served as Deputy Dean (Research) at Gulzar Group of Institutions, Khanna (Punjab). She is Post-Doctoral Research Fellow at South Ural State University, Russia since May, 2022. She has more than 20 years of teaching experience. She is an active member of ISTE, IEEE and IAEngg. She is the receiver of ISTE Section Best Teacher Award- 2020, and International Young Scientist Award-2021. She has contributed to the various research activities while publishing articles in the renowned journals and conference proceedings. She has published seven international patents also. She has delivered many expert talks in A.I.C.T.E. sponsored Faculty Development Programs and organized many International Conferences during her 20 years of teaching experience. She is the member of Editorial Board and reviewer of many international journals of repute. Her research interest includes Parallel and Distributed Computing, Data Science, Machine Learning, Blockchain, Internet of Things (IoT), and Healthcare. ORCID: 0000-0003-2778-0214.

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