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<p>Introduction.- Engineering an AI-driven IoT platform.- Smart and connected IoT devices.- Engineering IoT networks.- IoT cloud architecture and design.- End-to-end security.- Machine learning fundamentals.- Big Data and advanced analytics.- AI-driven IoT for smart health.- Biomedical engineering fundamentals.- Biosensors and connected wearable eHealth devices.- Applications of machine learning & IoT in healthcare.- AI-driven IoT eHealth prototyping lab.- Conclusion.</p>

<p><b>Farshad Firouzi </b>is an&nbsp;Adjunct&nbsp;Assistant Professor at the Electrical and Computer Engineering department&nbsp;of Duke University. Dr. Firouzi is a top-producing expert and technical leader with 10+ years’ experience offering strong performance in all aspects of AI/ML, Smart Data, Computer Architecture, VLSI, and IoT including R&D, consulting services, strategic planning, and technology solutions, across vertical industries, e.g., Semiconductor, Automotive, Finance, Manufacturing, Logistics, and eHealth. Dr. Firouzi authored 45+ Conference/Journal papers and served as Guest/Associate Editor of several well-known Journals (e.g., IEEE TVLSI, IEEE TCAD, Elsevier FGCS, and Elsevier MICPRO) as well as chair of 10+ international conferences/workshops on AI/IoT/eHealth, e.g., in the USA, Portugal, Greece, Czech Republic, Spain, and Germany. Dr. Firouzi received his M.S., Ph.D., and Postdoctoral degrees in Computer Engineering from University of Tehran, Karlsruhe Institute of Technology, and KU Leuven (IMEC), respectively.</p><p><b>Krishnendu Chakrabarty</b> is the John Cocke Distinguished Professor and Department Chair of Electrical and Computer Engineering at Duke University.&nbsp;Prof. Chakrabarty has received numerous awards for his research, including the Humboldt Research Award from the Alexander von Humboldt Foundation, Germany, the IEEE Computer Society Technical Achievement Award, the IEEE Circuits and Systems Society Charles A. Desoer Technical Achievement Award, the Semiconductor Research Corporation Technical Excellence Award, and the Japan Society for the Promotion of Science (JSPS) Fellowship in the “Short Term S: Nobel Prize Level” category.&nbsp;His&nbsp;current research projects include: microfluidic biochips; testing and design-for-testability of integrated circuits and systems; hardware security; machine learning for fault diagnosis and failure prediction; neuromorphic computing systems. He holds over a dozen US patents and his research on microfluidic biochips has been licensed by Advanced Liquid Logic, Illumina, GenMark and Baebies, Inc. He is a Fellow of AAAS, a Fellow of ACM, a Fellow of IEEE, and a Golden Core Member of the IEEE Computer Society. He was a Distinguished Visitor of the IEEE Computer Society (2005-2007, 2010-2012), a Distinguished Lecturer of the IEEE Circuits and Systems Society (2006-2007, 2012-2013), and an ACM Distinguished Speaker (2008-2016). Prof. Chakrabarty served as the Editor-in-Chief of IEEE Design & Test of Computers during 2010-2012, ACM Journal on Emerging Technologies in Computing Systems during 2010-2015, and IEEE Transactions on VLSI Systems during 2015-2018. Prof.&nbsp;Chakrabarty received his M.S. and Ph.D. degrees in Computer Science and Engineering from the University of Michigan.&nbsp;<br></p><p><b>Sani Nassif</b>&nbsp;has 28 years of research and development experience at Bell Labsand IBM Research where he led teams working on various aspects of integrated circuit modeling, simulation, statistical analysis, and optimization. In 2014 he formed Radyalis, a company focused on applying engineering techniques to the discipline of cancer radiation therapy. He is a widely published and world-renowned expert on simulation, optimization, and statistics. Dr. Nassif has collaborated with key medical research institutions, including: Massachusetts General Hospital, Mayo Clinic, M.D. Anderson Cancer Research Center, and St. Jude Children’s Research Hospital, among others. He was a member of the IBM Academy, an IBM Master Inventor with 75 patents, and is an IEEE Fellow. Dr. Nassif received his M.S. and Ph.D. in Electrical Engineering from Carnegie Mellon University.<br></p><p></p>

<p>This holistic book is an invaluable reference for addressing various practical challenges in architecting and engineering Intelligent IoT and eHealth solutions for industry practitioners, academic and researchers, as well as for engineers involved in product development. The first part provides a comprehensive guide to fundamentals, applications, challenges, technical and economic benefits, and promises of the Internet of Things using examples of real-world applications. It also addresses all&nbsp;important aspects of designing and engineering cutting-edge IoT solutions using a cross-layer approach from device to fog, and cloud covering standards, protocols, design principles, reference architectures, as well as all the underlying technologies, pillars, and components&nbsp;such as embedded systems, network, cloud computing, data storage, data processing, big data analytics, machine learning, distributed ledger technologies, and security. In addition, it discusses the effects of Intelligent IoT, which are reflected in new business models and digital transformation. The second part provides an insightful guide to the design and deployment of IoT solutions for smart healthcare as one of the most important applications of IoT. Therefore, the second part targets smart healthcare-wearable sensors, body area sensors, advanced pervasive healthcare systems, and big data analytics that are aimed at providing connected health interventions to individuals for healthier lifestyles.</p><p></p><ul><li>Presents an efficient method to understand the most appropriate positioning of a business against its competitors by digitally transforming into an agile and profitable business based on AI-driven IoT solutions;</li><li>Breaks down the IoT ecosystem into smaller components, from device, to connectivity and to cloud. We will explain the intersection of these components and discuss how to decide on the right mix of technology given the constraints of each application;</li><li>Tailored to bridge the gap between IoT, Artificial Intelligence, Big Data Analytics, Distributed Ledger Technologies, Cyber-physical Systems, and Security. This book will show readers how organizations can exploit, design, and utilize scalable intelligent IoT solutions to improve the levels of security, success of the services, ROI, revenue, and customer engagement;</li><li>Discusses real case studies (e.g., from IBM Watson and Robert Bosch) and practical applications, highlighting the importance of intelligent IoT in several vertical & horizontal markets;</li><li>Addresses all these important aspects of novel IoT technologies for smart healthcare - wearable sensors, body area sensors, advanced pervasive healthcare systems, collaborative machine learning, and Big Data analytics.</li></ul><p></p>







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Presents an efficient method to understand the most appropriate positioning of a business against its competitors by digitally transforming into an agile and profitable business based on AI-driven IoT solutions Breaks down the IoT ecosystem into smaller components, from device, to connectivity and to cloud. We will explain the intersection of these components and discuss how to decide on the right mix of technology given the constraints of each application Tailored to bridge the gap between IoT and AI technologies and healthcare, this book will show readers how organizations can exploit, design, and utilize scalable AI-driven solutions to improve the levels of security, success of the services, ROI, revenue, and customer engagement Discusses real case studies (e.g., from IBM Watson) and practical applications, highlighting the importance of AI and IoT in several vertical & horizontal markets