Dr. Shivi Sharma is an accomplished academician, researcher, and consultant currently serving as Associate Professor of Artificial Intelligence and Machine Learning at RV University, Bangalore. With a Ph.D. in Computer Science and Engineering and over a decade of multifaceted experience across academia, research, and industry, her work bridges the domains of AI, machine learning, natural language processing, and large language model (LLM) optimization. Dr. Sharma’s research focuses on cutting-edge areas such as retrieval-augmented generation (RAG), reinforcement learning, autonomous systems, and predictive analytics. She has published over 30 papers in prestigious SCI and Scopus-indexed journals, contributed to internationally recognized book chapters, and holds multiple patents in AI-driven solutions for healthcare, agriculture, and smart systems. In addition to her academic roles, Dr. Sharma has led AI research initiatives at NeoGenomics Labs (USA) and CDAC Mumbai, contributing to intelligent diagnostic models and public sector digital transformation. She is a frequent speaker at institutions like IIT Bombay and IIT Mandi, a reviewer for reputed journals including Elsevier and Springer, and an invited chair at major AI conferences. A passionate mentor, she has supervised Ph.D., M.Tech, and undergraduate research scholars, and remains dedicated to building scalable, ethical, and socially impactful AI technologies. Arvind Sharma is an Associate Professor in Shoolini University, India. His research interests span Cryptography, Computer Networks, Cloud Computing, Internet of Things, and Interdisciplinary research in healthcare.Kapil Sharma is working as Associate Professor in the prestigious All India Institute of Medical Science Bilaspur, and also serving as doctor in General Medicine and Surgery. He has M.D and M.B.B.S. degrees from Government Institutes in India. His research interests are in General Medicine, Internal Medicine, and Smart Healthcare. Prof. Bal S. Virdee holds a BSc (Engineering) Honours in Communication Engineering and an MPhil from Leeds University, UK, along with a PhD from the University of North London. He has served as an academic at both Open University and Leeds University. Before his academic career, he worked as a research and development Electronic Engineer at Teledyne Defence and PYE TVT (Philips) in Cambridge. Throughout his tenure at the university, Prof. Virdee has taken on various roles, including Health and Safety Officer, Postgraduate Tutor, Examination’s Officer, Admission’s Tutor, and Course Leader for MSc/MEng Satellite Communications, BSc Communications Systems, and BSc Electronics. In 2010, he became the Academic Leader for Undergraduate Recruitment. He is also an active member of the ethical committee, the school's research committee, and the research degrees committee, contributing significantly to the academic community.

• 1. Foundations of Smart, Sustainable and Resilient Healthcare2. Intelligent Decision Support Systems for Sustainable Healthcare3. Artificial Intelligence in Clinical Pathways for Healthcare4. AI and Machine Learning Algorithms for Clinical Decision Support5. Internet of Medical Things (IoT) and Wearable in Digital-Health6. Real-Time Intelligent Telehealth Workspace in Patient Monitoring7. Secure and Personalized EMR Systems8. Eco friendly innovations and development for sustainable Telehealth9. Telemedicine and Remote Healthcare Solutions10. Smart Hospital Infrastructure. IoT, Sensors, and Automation11. Exploring Telemedicine’s Potential in Sleep Apnea Patient Management. A Novel Opportunity12. Intelligent and Sustainable Healthcare Systems13. Integrating Deep Learning Techniques for Accurate Brain Tumor Classification in MRI14. Data Analytics for Predictive Healthcare15. Computational Methods for Skin Disease Diagnosis and Prediction16. Automation in Clinical, Diagnostics and Treatment Processes17. The Future of Healthcare 4.0. Trends and Innovations

Dr. Shivi Sharma is an accomplished academician, researcher, and consultant currently serving as Associate Professor of Artificial Intelligence and Machine Learning at RV University, Bangalore. With a Ph.D. in Computer Science and Engineering and over a decade of multifaceted experience across academia, research, and industry, her work bridges the domains of AI, machine learning, natural language processing, and large language model (LLM) optimization. Dr. Sharma’s research focuses on cutting-edge areas such as retrieval-augmented generation (RAG), reinforcement learning, autonomous systems, and predictive analytics. She has published over 30 papers in prestigious SCI and Scopus-indexed journals, contributed to internationally recognized book chapters, and holds multiple patents in AI-driven solutions for healthcare, agriculture, and smart systems. In addition to her academic roles, Dr. Sharma has led AI research initiatives at NeoGenomics Labs (USA) and CDAC Mumbai, contributing to intelligent diagnostic models and public sector digital transformation. She is a frequent speaker at institutions like IIT Bombay and IIT Mandi, a reviewer for reputed journals including Elsevier and Springer, and an invited chair at major AI conferences. A passionate mentor, she has supervised Ph.D., M.Tech, and undergraduate research scholars, and remains dedicated to building scalable, ethical, and socially impactful AI technologies. Arvind Sharma is an Associate Professor in Shoolini University, India. His research interests span Cryptography, Computer Networks, Cloud Computing, Internet of Things, and Interdisciplinary research in healthcare.Kapil Sharma is working as Associate Professor in the prestigious All India Institute of Medical Science Bilaspur, and also serving as doctor in General Medicine and Surgery. He has M.D and M.B.B.S. degrees from Government Institutes in India. His research interests are in General Medicine, Internal Medicine, and Smart Healthcare. Prof. Bal S. Virdee holds a BSc (Engineering) Honours in Communication Engineering and an MPhil from Leeds University, UK, along with a PhD from the University of North London. He has served as an academic at both Open University and Leeds University. Before his academic career, he worked as a research and development Electronic Engineer at Teledyne Defence and PYE TVT (Philips) in Cambridge. Throughout his tenure at the university, Prof. Virdee has taken on various roles, including Health and Safety Officer, Postgraduate Tutor, Examination’s Officer, Admission’s Tutor, and Course Leader for MSc/MEng Satellite Communications, BSc Communications Systems, and BSc Electronics. In 2010, he became the Academic Leader for Undergraduate Recruitment. He is also an active member of the ethical committee, the school's research committee, and the research degrees committee, contributing significantly to the academic community.

• 1. Foundations of Smart, Sustainable and Resilient Healthcare2. Intelligent Decision Support Systems for Sustainable Healthcare3. Artificial Intelligence in Clinical Pathways for Healthcare4. AI and Machine Learning Algorithms for Clinical Decision Support5. Internet of Medical Things (IoT) and Wearable in Digital-Health6. Real-Time Intelligent Telehealth Workspace in Patient Monitoring7. Secure and Personalized EMR Systems8. Eco friendly innovations and development for sustainable Telehealth9. Telemedicine and Remote Healthcare Solutions10. Smart Hospital Infrastructure. IoT, Sensors, and Automation11. Exploring Telemedicine’s Potential in Sleep Apnea Patient Management. A Novel Opportunity12. Intelligent and Sustainable Healthcare Systems13. Integrating Deep Learning Techniques for Accurate Brain Tumor Classification in MRI14. Data Analytics for Predictive Healthcare15. Computational Methods for Skin Disease Diagnosis and Prediction16. Automation in Clinical, Diagnostics and Treatment Processes17. The Future of Healthcare 4.0. Trends and Innovations

Dr. Shivi Sharma is an accomplished academician, researcher, and consultant currently serving as Associate Professor of Artificial Intelligence and Machine Learning at RV University, Bangalore. With a Ph.D. in Computer Science and Engineering and over a decade of multifaceted experience across academia, research, and industry, her work bridges the domains of AI, machine learning, natural language processing, and large language model (LLM) optimization. Dr. Sharma’s research focuses on cutting-edge areas such as retrieval-augmented generation (RAG), reinforcement learning, autonomous systems, and predictive analytics. She has published over 30 papers in prestigious SCI and Scopus-indexed journals, contributed to internationally recognized book chapters, and holds multiple patents in AI-driven solutions for healthcare, agriculture, and smart systems. In addition to her academic roles, Dr. Sharma has led AI research initiatives at NeoGenomics Labs (USA) and CDAC Mumbai, contributing to intelligent diagnostic models and public sector digital transformation. She is a frequent speaker at institutions like IIT Bombay and IIT Mandi, a reviewer for reputed journals including Elsevier and Springer, and an invited chair at major AI conferences. A passionate mentor, she has supervised Ph.D., M.Tech, and undergraduate research scholars, and remains dedicated to building scalable, ethical, and socially impactful AI technologies. Arvind Sharma is an Associate Professor in Shoolini University, India. His research interests span Cryptography, Computer Networks, Cloud Computing, Internet of Things, and Interdisciplinary research in healthcare.Kapil Sharma is working as Associate Professor in the prestigious All India Institute of Medical Science Bilaspur, and also serving as doctor in General Medicine and Surgery. He has M.D and M.B.B.S. degrees from Government Institutes in India. His research interests are in General Medicine, Internal Medicine, and Smart Healthcare. Prof. Bal S. Virdee holds a BSc (Engineering) Honours in Communication Engineering and an MPhil from Leeds University, UK, along with a PhD from the University of North London. He has served as an academic at both Open University and Leeds University. Before his academic career, he worked as a research and development Electronic Engineer at Teledyne Defence and PYE TVT (Philips) in Cambridge. Throughout his tenure at the university, Prof. Virdee has taken on various roles, including Health and Safety Officer, Postgraduate Tutor, Examination’s Officer, Admission’s Tutor, and Course Leader for MSc/MEng Satellite Communications, BSc Communications Systems, and BSc Electronics. In 2010, he became the Academic Leader for Undergraduate Recruitment. He is also an active member of the ethical committee, the school's research committee, and the research degrees committee, contributing significantly to the academic community.

• 1. Foundations of Smart, Sustainable and Resilient Healthcare2. Intelligent Decision Support Systems for Sustainable Healthcare3. Artificial Intelligence in Clinical Pathways for Healthcare4. AI and Machine Learning Algorithms for Clinical Decision Support5. Internet of Medical Things (IoT) and Wearable in Digital-Health6. Real-Time Intelligent Telehealth Workspace in Patient Monitoring7. Secure and Personalized EMR Systems8. Eco friendly innovations and development for sustainable Telehealth9. Telemedicine and Remote Healthcare Solutions10. Smart Hospital Infrastructure. IoT, Sensors, and Automation11. Exploring Telemedicine’s Potential in Sleep Apnea Patient Management. A Novel Opportunity12. Intelligent and Sustainable Healthcare Systems13. Integrating Deep Learning Techniques for Accurate Brain Tumor Classification in MRI14. Data Analytics for Predictive Healthcare15. Computational Methods for Skin Disease Diagnosis and Prediction16. Automation in Clinical, Diagnostics and Treatment Processes17. The Future of Healthcare 4.0. Trends and Innovations