Metaverse Technologies in Healthcare

1. Introduction to digital literacy and data security in healthcare industry: Issues and challenges
2. AI based Augmented reality and Virtual reality Models for HealthCare Industry
3. Design, Implementation and Evaluation of Metaverse Technology for Health Education
4. Metaverse as a vehicle for current Digital Medicine
5. IoT based Telemedicine framework for Human lives
6. Blockchain Strategies for Medicine and Health Science
7. Development of Metaverse Techniques during and post COVID-19 era
8. Machine Learning based Models for implementing Digital Twins in HealthCare Industry
9. Enhanced machine Learning models for Mental Health care based on Metaverse technology
10. Deep Learning Models for e-Health and Medical Care services
11. Algorithms for developing Virtual Hospitals in HealthCare Industry
12. Distinctive Telepresence Technologies for Telemedicine HealthCare Industry
13. Methods, Tools and Techniques for Cancer Detection and Treatment integrated with Metaverse Technology
14. Metaverse Methodologies for Prevention of Obesity and Chronic Diseases
15. HealthCare Metaverse Applications in Medical Informatics
16. Tools and Applications for Telesurgery in HealthCare Industry
17. Gamification Applications based on Metaverse for HealthCare Industry
18. Mixed Reality Applications for HealthCare Industry
19. Human-Computer Interactive Applications based on Metaverse for Medical Ecosystem
20. Awareness on legal and ethical issues in healthcare: A metaverse perspective

Dr. 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).
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.

Dr. Malathy holds a PhD in Information and Communication Engineering