Metaverse Technologies in Healthcare

1st Edition - July 11, 2024
Editors: Rajesh Kumar Dhanaraj, Sristhi Vashishtha, Malathy Sathyamoorthy, Balamurugan Balusamy, Korhan Cengiz
Language: English
Paperback ISBN:
9 7 8 - 0 - 4 4 3 - 1 3 5 6 5 - 1
eBook ISBN:
9 7 8 - 0 - 4 4 3 - 1 3 5 6 6 - 8

Metaverse Technologies in Healthcare focuses on data analysis, utilizing the possibilities of data to increase the effectiveness of healthcare organizations. As healthcar… Read more

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Metaverse Technologies in Healthcare focuses on data analysis, utilizing the possibilities of data to increase the effectiveness of healthcare organizations. As healthcare services aim to maintain the physical, mental, social and emotional well-being of human lives while the Metaverse is a blend of technological trends- Artificial Intelligence (AI), Augmented Reality (AR) and Virtual Reality (VR), collectively, they can deliver treatments and medicines, lower costs, and substantially enhance patient outcomes. The book redefines the digital health experience and describes the advantages of the Metaverse-based NFT technology in the healthcare sector, facilitating NFT avatars to interact with targeted audiences, and more.

Rajesh Kumar Dhanaraj

Dr. Rajesh Kumar Dhanaraj holds a PhD in Information and Communication Engineering by Anna University, Chennai, India. His research and publication interests include cyber-physical systems, wireless sensor networks, and cloud computing. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), a member of the Computer Science Teacher Association (CSTA) and of the International Association of Engineers (IAENG). He is an Expert Advisory Panel Member of Texas Instruments Inc. (USA), and an Associate Editor of International Journal of Pervasive Computing and Communications (Emerald Publishing).

Affiliations and expertise

Professor, Symbiosis Institute of Computer Studies and Research (SICSR), Symbiosis International (Deemed University), Pune, Maharashtra, India

Sristhi Vashishtha

Dr. Srishti Vashishtha is currently working at Bharti Vidyapeeth’s College of Engineering, GGIPU as an Assistant Professor in the CSE Department. She received her Ph.D. degree in Sentiment Analysis and Social Media domain from Delhi Technological University. She has received the B.Tech. degree in information technology from the Maharaja Surajmal Institute of Technology, GGSIPU, New Delhi, India, and the M.Tech. degree in Computer Science from the University School of Information, Communication, and Technology, GGSIPU. Her current area of interest includes Machine Learning, Deep Learning, Data Mining, Natural language Processing, Sentiment Analysis, Speech Emotion Recognition, and Fuzzy logic. She has about 7+ years of teaching experience in esteemed institutions. Qualified GATE and UGC-NET. Published 10 research papers in Peer-reviewed/ Scopus/Web of Science indexed international journals, among which 6 are SCIE and 8 IEEE/ Springer international conferences. Dr. Srishti has a current h-index: of 8. She is a reviewer in various SCIE and Peer-reviewed journals. Dr. Srishti has received DTU Research Excellence awards for commendable research 4 times consecutively in the years 2020- 2023. She has delivered many sessions on Machine Learning and Computer vision at various institutes.

Affiliations and expertise

Assistant Professor, Department of CSE, Bharati Vidhyapeeth’s College of Engineering, GGSIPU, Delhi, India

Malathy Sathyamoorthy

Dr. Malathy holds a PhD in Information and Communication Engineering by Anna University, Chennai, India. Her research areas include wireless sensor networks, Internet of Things, and applied machine learning. She is a life member of the Indian Society for Technical Education (ISTE) and the International Association of Engineers (IAENG). She is an active author/editor for Springer, CRC Press, and Elsevier. She is also a reviewer for Wireless Networks (Springer) and on the editorial board at many international conferences.

Affiliations and expertise

Assistant Professor, Dept. of Information Technology, KPR Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India

Balamurugan Balusamy

Dr. Balamurugan Balusamy is currently working as an Associate Dean Student in Shiv Nadar Institution of Eminence, Delhi-NCR. He is part of the Top 2% Scientists Worldwide 2023 by Stanford University in the area of Data Science/AI/ML. He is also an Adjunct Professor, Department of Computer Science and Information Engineering, Taylor University, Malaysia. His contributions focus on engineering education, block chain, and data sciences.

Affiliations and expertise

Shiv Nadar University, Delhi-NCR, India

Korhan Cengiz

Assoc. Prof. Dr. Korhan Cengiz was born in Edirne, Turkey, in 1986. He received the BSc degrees in Electronics and Communication Engineering from Kocaeli University and Business Administration from Anadolu University, Turkey in 2008 and 2009 respectively. He took his MSc degree in Electronics and Communication Engineering from Namik Kemal University, Turkey in 2011, and the PhD degree in Electronics Engineering from Kadir Has University, Turkey in 2016. Since March 2023, He has been a Senior Researcher in the department of Information Technologies, University of Hradec Kralove, Kralove, Czech Republic. Since September 2022, He has been an Associate Professor in the department of Computer Engineering, Istinye University, Istanbul, Turkey. Since April 2022, he has been the chair of the research committee of University of Fujairah, United Arab Emirates. Since August 2021, he has been an Assistant Professor at the College of Information Technology in University of Fujairah, UAE. Dr. Cengiz is the author of more than 40 SCI / SCI-E articles including IEEE Internet of Things Journal, IEEE Access, Expert Systems with Applications, Knowledge Based Systems and ACM Transactions on Sensor Networks, 5 international patents, more than 10 book chapters, and 1 book in Turkish. He is editor of more than 20 books. His research interests include wireless sensor networks, wireless communications, statistical signal processing, indoor positioning systems, internet of things, power electronics and 5G. He is the Associate Editor of IEEE Transactions on Intelligent Transportation Systems, IEEE Potentials Magazine, Handling Editor of Microprocessors and Microsystems, Elsevier, Associate Editor of IET Electronics Letters, and IET Networks. He serves several reviewer positions for IEEE Internet of Things Journal, IEEE Sensors Journal and IEEE Access. He serves several book editor positions in IEEE, Springer, Elsevier, Wiley and CRC. He presented 40+ keynote talks in reputed IEEE and Springer Conferences about WSNs, IoT and 5G. He is Senior Member, IEEE and Professional Member of ACM. Dr. Cengiz’ s awards and honors include the Tubitak Priority Areas PhD Scholarship, the Kadir Has University PhD Student Scholarship, best presentation award in ICAT 2016 Conference and best paper award in ICAT 2018 Conference.

Affiliations and expertise

University Research Committee Chair, University of Fujairah, United Arab Emirates