Shalli Rani completed her Post-doc from Manchester Metropolitan University, UK in June , 2023. She is Professor at Chitkara University Institute of Engineering and Technology, India . She has 2 decades of teaching experience. She received Ph.D. degree in Computer Applications from Punjab Technical University, Jalandhar. Her main area of interest, Machine Learning and Internet of Things. She has published/accepted/presented more than 100+ papers in international journals /conferences (SCI+Scopus) and edited/authored several books with international publishers. She is serving as the associate editor of IEEE Future Directions Letters.. She received a young scientist award in Feb. 2014 from Punjab Science Congress, Lifetime Achievement Award and Supervisor of the year award from Global Innovation and Excellence, 2021.

• Chapter 1: Blockchain technology and the metaverse: revolutionizing healthcare data security and efficiencyChapter 2: MedTech Fusion in the Metaverse using business intelligence through AIoTBc: artificial intelligence, Internet of Things, blockchainChapter 3: Intelligent medical report extraction and generation model for smart healthcare servicesChapter 4: Blockchain aware game theory-based medical data sharing schemeChapter 5: Real-time brain monitoring: application of wearable neurotech in healthcareChapter 6: Predictive analytics and diagnostics in personalized medicine using machine learning modelsChapter 7: Ethical research: the role of robotics in healthcare and metaverse’s legal considerationsChapter 8: Metaverse-enhanced deep neural network approach for detecting and classifying catheters in chest X-raysChapter 9: Case study, future scope, and vision of Metaverse in diagnosing brain tumor diseaseChapter 10: Robotic revolution: ethical and legal frontiers in healthcare metaverse researchChapter 11: Adaptive virtual reality exposure therapy and motor rehabilitation from Hebbian learning rule in metaverse: (Δ W/ij) for psychoanalysisChapter 12: Implementing virtual patient simulation and surgical training in medical school: finding Data-S and Learning-RChapter 13: Healthcare frontiers in the metaverse: innovations and impactsChapter 14: Vision of the metaverse in healthcareChapter 15: Case study, future scope and vision of metaverse in healthcareChapter 16: The role of robotics: deep Q-network-based fusion for healthcare metaverse applicationsChapter 17: Transforming healthcare in the metaverse with impact of wearable technologyChapter 18: Developers’ engineering of metaverse and healthcare procurements

Shalli Rani completed her Post-doc from Manchester Metropolitan University, UK in June , 2023. She is Professor at Chitkara University Institute of Engineering and Technology, India . She has 2 decades of teaching experience. She received Ph.D. degree in Computer Applications from Punjab Technical University, Jalandhar. Her main area of interest, Machine Learning and Internet of Things. She has published/accepted/presented more than 100+ papers in international journals /conferences (SCI+Scopus) and edited/authored several books with international publishers. She is serving as the associate editor of IEEE Future Directions Letters.. She received a young scientist award in Feb. 2014 from Punjab Science Congress, Lifetime Achievement Award and Supervisor of the year award from Global Innovation and Excellence, 2021.

• Chapter 1: Blockchain technology and the metaverse: revolutionizing healthcare data security and efficiencyChapter 2: MedTech Fusion in the Metaverse using business intelligence through AIoTBc: artificial intelligence, Internet of Things, blockchainChapter 3: Intelligent medical report extraction and generation model for smart healthcare servicesChapter 4: Blockchain aware game theory-based medical data sharing schemeChapter 5: Real-time brain monitoring: application of wearable neurotech in healthcareChapter 6: Predictive analytics and diagnostics in personalized medicine using machine learning modelsChapter 7: Ethical research: the role of robotics in healthcare and metaverse’s legal considerationsChapter 8: Metaverse-enhanced deep neural network approach for detecting and classifying catheters in chest X-raysChapter 9: Case study, future scope, and vision of Metaverse in diagnosing brain tumor diseaseChapter 10: Robotic revolution: ethical and legal frontiers in healthcare metaverse researchChapter 11: Adaptive virtual reality exposure therapy and motor rehabilitation from Hebbian learning rule in metaverse: (Δ W/ij) for psychoanalysisChapter 12: Implementing virtual patient simulation and surgical training in medical school: finding Data-S and Learning-RChapter 13: Healthcare frontiers in the metaverse: innovations and impactsChapter 14: Vision of the metaverse in healthcareChapter 15: Case study, future scope and vision of metaverse in healthcareChapter 16: The role of robotics: deep Q-network-based fusion for healthcare metaverse applicationsChapter 17: Transforming healthcare in the metaverse with impact of wearable technologyChapter 18: Developers’ engineering of metaverse and healthcare procurements

Shalli Rani completed her Post-doc from Manchester Metropolitan University, UK in June , 2023. She is Professor at Chitkara University Institute of Engineering and Technology, India . She has 2 decades of teaching experience. She received Ph.D. degree in Computer Applications from Punjab Technical University, Jalandhar. Her main area of interest, Machine Learning and Internet of Things. She has published/accepted/presented more than 100+ papers in international journals /conferences (SCI+Scopus) and edited/authored several books with international publishers. She is serving as the associate editor of IEEE Future Directions Letters.. She received a young scientist award in Feb. 2014 from Punjab Science Congress, Lifetime Achievement Award and Supervisor of the year award from Global Innovation and Excellence, 2021.

• Chapter 1: Blockchain technology and the metaverse: revolutionizing healthcare data security and efficiencyChapter 2: MedTech Fusion in the Metaverse using business intelligence through AIoTBc: artificial intelligence, Internet of Things, blockchainChapter 3: Intelligent medical report extraction and generation model for smart healthcare servicesChapter 4: Blockchain aware game theory-based medical data sharing schemeChapter 5: Real-time brain monitoring: application of wearable neurotech in healthcareChapter 6: Predictive analytics and diagnostics in personalized medicine using machine learning modelsChapter 7: Ethical research: the role of robotics in healthcare and metaverse’s legal considerationsChapter 8: Metaverse-enhanced deep neural network approach for detecting and classifying catheters in chest X-raysChapter 9: Case study, future scope, and vision of Metaverse in diagnosing brain tumor diseaseChapter 10: Robotic revolution: ethical and legal frontiers in healthcare metaverse researchChapter 11: Adaptive virtual reality exposure therapy and motor rehabilitation from Hebbian learning rule in metaverse: (Δ W/ij) for psychoanalysisChapter 12: Implementing virtual patient simulation and surgical training in medical school: finding Data-S and Learning-RChapter 13: Healthcare frontiers in the metaverse: innovations and impactsChapter 14: Vision of the metaverse in healthcareChapter 15: Case study, future scope and vision of metaverse in healthcareChapter 16: The role of robotics: deep Q-network-based fusion for healthcare metaverse applicationsChapter 17: Transforming healthcare in the metaverse with impact of wearable technologyChapter 18: Developers’ engineering of metaverse and healthcare procurements