Connected Health Insights for Sustainable Development: Integrating Iot, Ai and Data-driven Solutions

This book offers a comprehensive look at how emerging technologies like IoT, Data Science, and AI can drive significant advancements in healthcare, particularly in alignment with Sustainable Development Goal 3 (SDG 3) - Good Health and Well-Being. By bridging technological innovation with the critical need for improved healthcare systems, this book explores how these technologies are revolutionizing both personal and population health management. Readers will gain insights into how IoT-enabled devices, AI-powered analytics, and data-driven decision-making tools enhance everything from continuous patient monitoring to personalized medicine and resource optimization for governments. The initial chapters provide a foundational understanding of IoT, AI, and Data Science, followed by in-depth discussions on their integration into healthcare applications. Key topics include continuous health monitoring through wearable technologies, the role of mobile health (m-Health) in making healthcare more accessible, and the use of advanced analytics in diagnosing diseases early. Personalized medicine is explored as a pivotal breakthrough in improving patient outcomes by leveraging data from IoT devices and AI-driven models to tailor treatment plans. Further, the book also covers the advancements in medical imaging and how it supports real-time diagnosis and treatment. Towards the latter part, the book delves into population health surveillance and healthcare resource management through the combined power of these technologies. It presents how governments and healthcare providers can optimize their resources, predict disease outbreaks, and manage pandemics more effectively. Additionally, ethical concerns surrounding the use of these technologies in healthcare are discussed, providing readers with a holistic view of both the opportunities and challenges posed by the IoT-Data Science-AI nexus in achieving SDG 3.

Shama Siddiqui is an Associate Professor with the Department of Computer Science, DHA Suffa University (DSU), Karachi Pakistan. She acquired her PhD (Computer Science) with specialization in Wireless Sensor Networks (WSNs) from Faculty of Computer Science, Institute of Business Administration in 2018. She works in the areas of Media Access Control Protocols design and optimization for WSNs, and applications of Internet of Things (IoT), Internet of Medical Things (IoMT), Industrial IoT and other emerging applications of IoT. She has been actively supervising undergraduate projects and MS/PhD dissertations and also serves as a program manager for Masters and PhD programs at DSU. She is a regular reviewer of various prestigious conferences and journals including IEEE Sensors Journal, IEEE Transactions of Vehicular Technology, IEEE Transactions on Network Science and Engineering, Physical Communication, Mobile Information Systems, Journal of Ambient Intelligence and Humanized Computing, Sustainable Computing: Informatics and Systems, NUST Journal of Engineering Sciences and IEEE Sensors Conference. Additionally, she has established numerous international collaborations, with one of the most prominent being an EU-funded staff exchange project, focused on the Joint Optimization of Data and Energy Networks aimed at advancing the digitization of sustainable communities.

Anwar Ahmed Khan is an Associate Professor with the Department of Computer Science, Millennium Institute of Technology and Entrepreneurship (MiTE), Karachi, Pakistan. He holds a PhD (Computer Science) with specialization in Wireless Sensor Networks (WSNs) from Faculty of Computer Science, Institute of Business Administration, completed in 2020. Earlier he did Master in Electronics from NED University, Karachi and Bachelor of Engineering in Electronics from Hamdard University. Anwar's areas of interest include MAC protocol design, design and development of IoT solutions with a special focus on achieving Sustainable Development Goals (SDGs). Due to his interest in electronic circuit design and optimization, he serves as advisor to various final year project groups at MiTE and other universities. He has international collaborations with researchers from across the globe including Qatar, Ireland, Saudi Arabia and the USA. He is associated with EU-funded staff exchange project focused on the Joint Optimization of Data and Energy Networks for sustainable communities.

Prof. Muazzam Ali Khan Khattak (SM IEEE, PAS) is serving as Director Science and Technology at Quaid-i-Azam University (QAU), Islamabad, Pakistan. He has a joint PhD in Wireless networks from IIUI and (UMKC), USA. He is also an adjunct professor with University of Missouri Kansas City, USA and USAK University, Turkey. Besides other academic activities he is also leading the ICESCO Chair Data Analytics and Edge Computing. He has over 17 years of experience in the fields of ICT both at national and international level; he is a member of Prime Minister Advisory Committee for Establishment of IT Center of Excellence in Pakistan, member of Higher Education Commission, member of Asian Council of Science Editors and Member International advisory board of Usak University Türkiye. He has been granted $350M for research projects from different bodies such as OIC, ICESCO and from various agencies at Pakistan, China and USA. His research interests include IoT, IoMT, Information & Network Security, Multimedia encryption and compression and block chain and IoTA. To date, He has 210+ international publications with total citations of 4610+ and H-index 40.

Raazia Sosan is an Assistant Professor in the Department of Computer Science at DHA Suffa University (DSU), Karachi, Pakistan. She received her PhD in Computer Science with a specialization in Computer Graphics and Visualization using High-Performance Computing from DSU in 2023. During her PhD, she was awarded the Association for Computing Machinery's Women in Computing (ACM-W) Scholarship, recognizing her potential and contributions in the field. Her research interests include computer graphics, image processing, machine learning, and high-performance computing using Compute Unified Device Architecture (CUDA). She has also contributed to a national Research and Development (R&D) project with Space & Upper Atmosphere Research Commission (SUPARCO).