Smart Healthcare 2.0

Dr. Ramesh Chandra Poonia is a Professor at the Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India. Recently completed his Postdoctoral Fellowship from CPS Lab, Department of ICT and Natural Sciences, Norwegian University of Science and Technology, Ålesund, Norway. He has received his Ph.D. degree in Computer Science from Banasthali University, Banasthali, India in July 2013. His research interests are Cyber-Physical Systems, Network Protocol Evaluation and Artificial Intelligence. He is Chief Editor of TARU Journal of Sustainable Technologies and Computing (TJSTC) and Associate Editor of the Journal of Sustainable Computing: Informatics and Systems, Elsevier. He also serves in the editorial boards of a few international journals. He is main author and co-author of 06 books and an editor of more than 25 special issue of journals and books including Springer, CRC Press – Taylor and Francis, IGI Global and Elsevier, edited books and Springer conference proceedings and has authored/co-authored over 65 research publications in peer-reviewed reputed journals, book chapters and conference proceedings. Dr. Kamal Upreti is an Associate Professor of Computer Science at CHRIST (Deemed to be University), Ghaziabad. He holds , a Ph.D. in Computer Science & Engineering, and a postdoctoral fellowship at National Taipei University of Business, Taiwan, funded by MHRD.With teaching, research, and industry exposure, he has produced numerous patents and publications. His interests span modern physics, data analytics, cybersecurity, ML, healthcare, embedded systems, and cloud computing. Notable projects include Hydrastore in Japan, IPDS in India, and an ICMR-funded cardiovascular-prediction project with GB Pant and AIIMS Delhi. Dr. Upreti serves as session chair, keynote speaker, trainer, and faculty developer, and has been honored as Best Teacher, Best Researcher, and an M.Tech Gold Medalist.

• 1. Digital Twins in Precision Health: From Static Models to Adaptive Virtual Patients2. Ubiquitous Healthcare 3.0: Principles, Paradigms, and Proactive System Design3. Smart Sensing in Digital Health: Wearable and Implantable Technologies4. Architecture 3.0 for Digital Twin-Driven U-Healthcare Systems5. Predictive Analytics in Health: Models and AI-Powered Applications6. Edge-Fog-Cloud Continuum for Scalable Digital Twin Computation7. Data Fusion and Context Awareness in Digital Twin Systems8. Secure Communication 3.0 and Blockchain for Trustworthy Digital Health9. Simulation Platforms for Virtual Patients: Modeling, Testing, and Visualization10. Chronic Disease Management 3.0: Twin-Based Continuous Monitoring and Intervention11. Emergency Response Systems Powered by Predictive Digital Twins12. Integration with EHR and Smart Hospital Systems13. Ethical AI in Healthcare Twins: Privacy, Regulation, and Fairness14. Evaluation and Validation Metrics for Healthcare Digital Twins15. Interoperability Standards and Open Frameworks for Digital Health Ecosystems16. Global Case Studies: Twin Deployments Across HealthTech Ecosystems17. Future Horizons 4.0: Cognitive Twins, Federated Intelligence, and Quantum Simulation18. Healthcare Workforce Readiness and Training19. Eco-Sustainability and Green Computing in Smart Healthcare20. Legal and Regulatory Compliance in Digital Twin-Enabled Healthcare

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