Dr. Sangeeta Kumari is an Assistant Professor at Bennett University, holding a Ph.D. from NIT Raipur. With 24 publications, her research focuses on wireless sensor networks (WSNs), artificial intelligence (AI), and blockchain applications. She has organized special sessions at international conferences in Vietnam, the Czech Republic, and the UK, and has delivered keynotes on underwater wireless sensor networks and the Internet of Things (IoT). Dr. Kumari's work includes developing AI-driven healthcare solutions and ensuring IoMT data security using Hyperledger Fabric for smart cities. Her contributions have been published in high-impact journals, including those by Springer, Elsevier, and IEEE. Currently, she is leading collaborative research projects with the Indian Institute of Technology Delhi on underwater network modeling and drone security applications. Additionally, Dr. Kumari is an Associate Member of IEEE, an Ambassador and Advisor for Women in Data Science (WiDS) 2024, and actively participates in various scientific gatherings as a conference organizer and keynote speaker. Ashish Khanna is Professor in Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, India, and is also a Visiting Professor at the University of Valladolid, Spain. His research interests include distributed systems, MANET, FANET, VANET, Internet of Things, and machine learning.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. Dr. Samiya Khan is Assistant Professor of Computer Science at the University of Southampton Delhi and a Fellow of the Higher Education Academy (HEA). Her research focuses on data science, ethical artificial intelligence, and the application of AI in Internet of Things (IoT) environments. Her work spans digital health, green computing, responsible AI, and interdisciplinary approaches to emerging technologies. In addition to her research and teaching activities, she serves as a Women in Data Science (WiDS) Ambassador, supporting initiatives that promote diversity and inclusion in technology.

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• 1. Introduction to AI in Healthcare and 6G Networks2. Fundamentals of 6G Networks for Healthcare3. AI-Driven Medical Diagnostics4. 6G-Enabled Remote Patient Monitoring5. Edge AI and Distributed Diagnostics6. Real-Time Imaging Diagnostics with 6G7. AI Models for Disease Prediction8. Integrating IoT and Wearable Devices with 6G9. Smart Hospitals Powered by 6G and AI10. Blockchain for Secure 6G-Driven Diagnostics11. Ethical and Regulatory Challenges in 6G Healthcare12. AI and 6G in Personalized Medicine13. Robotics and 6G-Enabled Surgical Systems14. Case Studies of 6G-AI Diagnostics in Practice15. Future Trends and Emerging Technologies

Dr. Sangeeta Kumari is an Assistant Professor at Bennett University, holding a Ph.D. from NIT Raipur. With 24 publications, her research focuses on wireless sensor networks (WSNs), artificial intelligence (AI), and blockchain applications. She has organized special sessions at international conferences in Vietnam, the Czech Republic, and the UK, and has delivered keynotes on underwater wireless sensor networks and the Internet of Things (IoT). Dr. Kumari's work includes developing AI-driven healthcare solutions and ensuring IoMT data security using Hyperledger Fabric for smart cities. Her contributions have been published in high-impact journals, including those by Springer, Elsevier, and IEEE. Currently, she is leading collaborative research projects with the Indian Institute of Technology Delhi on underwater network modeling and drone security applications. Additionally, Dr. Kumari is an Associate Member of IEEE, an Ambassador and Advisor for Women in Data Science (WiDS) 2024, and actively participates in various scientific gatherings as a conference organizer and keynote speaker. Ashish Khanna is Professor in Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, India, and is also a Visiting Professor at the University of Valladolid, Spain. His research interests include distributed systems, MANET, FANET, VANET, Internet of Things, and machine learning.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. Dr. Samiya Khan is Assistant Professor of Computer Science at the University of Southampton Delhi and a Fellow of the Higher Education Academy (HEA). Her research focuses on data science, ethical artificial intelligence, and the application of AI in Internet of Things (IoT) environments. Her work spans digital health, green computing, responsible AI, and interdisciplinary approaches to emerging technologies. In addition to her research and teaching activities, she serves as a Women in Data Science (WiDS) Ambassador, supporting initiatives that promote diversity and inclusion in technology.

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• 1. Introduction to AI in Healthcare and 6G Networks2. Fundamentals of 6G Networks for Healthcare3. AI-Driven Medical Diagnostics4. 6G-Enabled Remote Patient Monitoring5. Edge AI and Distributed Diagnostics6. Real-Time Imaging Diagnostics with 6G7. AI Models for Disease Prediction8. Integrating IoT and Wearable Devices with 6G9. Smart Hospitals Powered by 6G and AI10. Blockchain for Secure 6G-Driven Diagnostics11. Ethical and Regulatory Challenges in 6G Healthcare12. AI and 6G in Personalized Medicine13. Robotics and 6G-Enabled Surgical Systems14. Case Studies of 6G-AI Diagnostics in Practice15. Future Trends and Emerging Technologies

Dr. Sangeeta Kumari is an Assistant Professor at Bennett University, holding a Ph.D. from NIT Raipur. With 24 publications, her research focuses on wireless sensor networks (WSNs), artificial intelligence (AI), and blockchain applications. She has organized special sessions at international conferences in Vietnam, the Czech Republic, and the UK, and has delivered keynotes on underwater wireless sensor networks and the Internet of Things (IoT). Dr. Kumari's work includes developing AI-driven healthcare solutions and ensuring IoMT data security using Hyperledger Fabric for smart cities. Her contributions have been published in high-impact journals, including those by Springer, Elsevier, and IEEE. Currently, she is leading collaborative research projects with the Indian Institute of Technology Delhi on underwater network modeling and drone security applications. Additionally, Dr. Kumari is an Associate Member of IEEE, an Ambassador and Advisor for Women in Data Science (WiDS) 2024, and actively participates in various scientific gatherings as a conference organizer and keynote speaker. Ashish Khanna is Professor in Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, India, and is also a Visiting Professor at the University of Valladolid, Spain. His research interests include distributed systems, MANET, FANET, VANET, Internet of Things, and machine learning.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. Dr. Samiya Khan is Assistant Professor of Computer Science at the University of Southampton Delhi and a Fellow of the Higher Education Academy (HEA). Her research focuses on data science, ethical artificial intelligence, and the application of AI in Internet of Things (IoT) environments. Her work spans digital health, green computing, responsible AI, and interdisciplinary approaches to emerging technologies. In addition to her research and teaching activities, she serves as a Women in Data Science (WiDS) Ambassador, supporting initiatives that promote diversity and inclusion in technology.

Select Guide Rating

• 1. Introduction to AI in Healthcare and 6G Networks2. Fundamentals of 6G Networks for Healthcare3. AI-Driven Medical Diagnostics4. 6G-Enabled Remote Patient Monitoring5. Edge AI and Distributed Diagnostics6. Real-Time Imaging Diagnostics with 6G7. AI Models for Disease Prediction8. Integrating IoT and Wearable Devices with 6G9. Smart Hospitals Powered by 6G and AI10. Blockchain for Secure 6G-Driven Diagnostics11. Ethical and Regulatory Challenges in 6G Healthcare12. AI and 6G in Personalized Medicine13. Robotics and 6G-Enabled Surgical Systems14. Case Studies of 6G-AI Diagnostics in Practice15. Future Trends and Emerging Technologies