The ultra-secure and immutable ledgers, strong, consensus mechanisms, decentralization, and self-sovereign identity of AI and IoT technologies have tremendous potential to rebalance and improve machine learning algorithms. This book discusses the possibility of using AI, IoT and machine learning for the enhancement of healthcare systems.

Prof. (Dr.) P Suresh is currently serving as Academic Coordinator and Professor in the Department of Mechanical Engineering at Galgotias University, Greater Noida. He received his Ph.D. degree in the Faculty of Mechanical Engineering, from Anna University, Tamilnadu, in 2014. He completed Master of Engineering in Engineering Design from Bharathiar University, Coimbatore, Tamilnadu in 2001 and a Bachelor of Engineering in University of Madras, Chennai, Tamilnadu in 2000. He has about 21 years of working experience in academics and research. He has published more than 55 publications in various International Journals, Conferences, and Book chapters in Elsevier, Springer, IET, etc. Dr. P. Suresh is also associated with various professional bodies such as The Institution of Engineers of India (IEI), IAENG, International Association of Engineers, Life member of ISTE (Indian Society for Technical Education), and he is the Senior Member of IRED.

Prof. (Dr.) T Poongodi is a Professor in the Department of Computer Science and Engineering at the Galgotias University, Delhi - NCR, India. She received her Ph.D. degree in Information Technology (Information and Communication Engineering) from Anna University, Tamil Nadu, India. She has more than 15 years of experience working in teaching and research. Her current research interests include Network Security, Wireless Ad Hoc and Sensor Networks, Internet of Things (IoT), Computer Networks, and Blockchain Technology for emerging communication networks. Dr. T. Poongodi is the author of over 40+ book chapters including some reputed publishers such as Springer, Elsevier, Wiley, De-Gruyter, CRC Press, IGI global and 30+ international journals and conferences. She has published 10+ books in the areas of Internet of Things, Data Analytics, Blockchain Technology, Artificial Intelligence, Machine Learning, and Healthcare Informatics, published by reputed publishers such as Springer, IET, Wiley, CRC Taylor & Francis, and Apple Academic Press.

Prof. (Dr.) B Balamurugan is currently working as Associate Dean-Student Engagement, Shiv Nadar University, Delhi-National Capital Region (NCR), India. His contributions focus on Engineering Education, Blockchain, and Data Sciences. His Academic degrees and twelve years of experience working as a faculty in a global University like VIT University, Vellore have made him more receptive and prominent in his domain. He does have 200 plus high impact factor papers in Springer, Elsevier, and IEEE. He has done more than 50 Edited and authored books and collaborated with eminent professors across the world from top QS ranked universities. Prof. Balamurugan Balusamy has served up to the position of Associate Professor in his stint of 12 years of experience with VIT University, Vellore. He had completed his Bachelors, Master and PhD Degrees from Top premier institutions in India. His passion is teaching and adapting different design thinking principles while delivering his lectures. He has published 30+ books on various technologies and visited 15 plus countries for his technical course. He has several top-notch conferences in his resume and has published over 200 quality journal, conferences and book chapters combined. He serves on the advisory committee for several start-ups and forums and does consultancy work for the industry on Industrial IoT. He has given over 175 talks at various events and symposiums. He is currently working as a professor and chief research coordinator at Galgotias University and teaches faculty and students about research, does research on Blockchain and IoT.

Dr. Meenakshi Sharma, Professor Dean R&D in Galgotias University, Greater Noida. M.Tech in Computer Science and Engineering from Kurukshetra University in 2006. She has been awarded Ph.D. in Computer Science, from Kurukshetra University in 2011. She has 15+ Years of Experience in Teaching and Research. Her research interests are Machine Learning, Image Processing, Big Data Analytics, Data compression, and Digital and data warehousing. She has a total of 50+ Research publications in IEEE transaction, SCIE, SCI, and Scopus. She got the Best Research and Teacher award in 2017 and 2018. She attended as Session Chair in Many International Conferences and gave Guest Lecturer on Machine Learning, and Big Data in Many Engineering Colleges. She works as a Reviewer in many SCI and Scopus Indexed Journals. She is the GUEST editor (SCOPUS JOURNAL). She is also Guest Editor, (CRC Press) Taylor Francis. She had guided 02 Ph.D. Candidate, 01 Thesis Submitted, and 05 are under Guidance.

1. Machine Learning Techniques and Big Data Analytics for Smart Manufacturing

Nirdhum Narayan, Aradhna Saini, Janarthanan.S

2. Data-Driven Paradigm for Smart Manufacturing In The Context of Big Data Analytics

Dr. Satish Chinchorkar

3. Data-Driven Models in Machine Learning- An Enabler of Smart Manufacturing

Mukti Chaturvedi, Arungalai Vendan S

4. Local Time Invariant Learning from Industrial Big Data for Predictive Maintenance in Smart Manufacturing

Sharanya S, Karthikeyan S

5. Integration of Industrial IoT and Big data Analytics for Smart Manufacturing Industries: Perspectives and Challenges

K.Udayakumar, S.Ramamoorthy, R.Poorvadevi

6. Multimodal Architecture for Emotion Prediction in Videos using Ensemble Learning

Dr Santhi Venkatraman, Puja Saha

7. Deep PHM: IOT based Deep Learning approach on Prediction of Prognostics and Health Management of an Aircraft Engine

R Mohammed Harun Babu, Mr. P Sivaprakash, Mr. K Arun Kumar, Ms. M Shebana, Ms. S Gnana Sowndharya S

8. A Comprehensive Study on Accelerating Smart Manufacturers using Ubiquitous Robotic Technology

Divyansh Singhal, Roohi Sille

9. Machine Learning Techniques and Big Data Tools in Design and Manufacturing

Vishwanadham Mandala, C.D Premkumar, K. Nivitha, R. Satheesh Kumar

10. Principles of Comprehension of IoT and Smart Manufacturing System

Maya Shankar Jha, Arjun K P, Sreenarayanan N M