Dr. Rajendra Kumar is presently working as Associate Professor in CSE Department at Sharda University, India. He holds PhD, M.Tech. and B.E. (all in Computer Science). He has 24 years of teaching and research experience at various accredited institutes and universities like Chandigarh University (NAAC A+). His field of interest includes IoT, Deep Learning, HCI, Pattern recognition, and Theoretical Computer Science. He is author of 05 textbooks (one for McGraw-Hill Education), editor of 07 conference proceedings, chaired 03 sessions in international conferences, published more than 30 papers, 02 book chapters, 03 patents and 02 monographs. He is vice president of Society for research Developemnt and member of many technical organizations like IEEE, IACSIT, IAENG, etc. He is the reviewer of Medical & Biological Engineering & Computing (Springer), Expert Systems with Applications (Elsevier), and some more.
Dr. Vishal Jain is presently working as an Associate Professor at Sharda University, Greater Noida, U.P. He has also worked at Bharati Vidyapeeths Institute of Computer Applications and Management, New Delhi. He has more than 16 years of teaching and research experience. He is Ph.D (CSE), M.Tech (CSE), MBA (HR), MCA, MCP and CCNA. He has more than 600 citation (h-index score 13 and i-10 index 20). He has authored more than 90 research papers, authored and edited more than 25 books with various reputed publishers like Springer, Apple Academic Press, Taylor and Francis Group, Scrivener, Wiley, Emerald and IGI-Global. His research areas include information retrieval, semantic web, ontology engineering, data mining, ad-hoc & sensor networks.
Dr. Ahmed A. Elngar
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This book focuses on the design, development, and analysis of augmented and virtual reality (AR/VR)-based systems, along with the technological impacts and challenges in social learning. Social Learning provides a comprehensive approach to researching methods in the emerging fields of AR/VR. The contributors of this book outline the state-of-the-art implementation of AR/VR for the Internet of Things, Blockchains, Big Data, and 5G within AR/VR systems.
Augmented and Virtual Reality (AR/VR) technologies lie at the intersection of multiple crucial areas of technological, industrial, educational, and health development. This book series covers the connections and applications of AR/VR to the main focal point of the Technology portfolio at De Gruyter: Artificial Intelligence (AI), Internet of Things (IoT), Machine Learning (ML), Human-Machine Interaction.
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This book focuses on the design, development, and analysis of augmented and virtual reality (AR/VR)-based systems, along with the technological impacts and challenges in social learning. Social Learning provides a comprehensive approach to researching methods in the emerging fields of AR/VR. The contributors of this book outline the state-of-the-art implementation of AR/VR for the Internet of Things, Blockchains, Big Data, and 5G within AR/VR systems.
