Role of Internet of Things and Machine Learning in Smart Healthcare

Suyel Namasudra has received PhD from the National Institute of Technology Silchar, Assam, India. He was a Postdoctorate Fellow at the International University of La Rioja (UNIR), Spain. Currently, Dr. Namasudra is working as an Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology Agartala, Tripura, India. Before joining the National Institute of Technology Agartala, Dr. Namasudra was an Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology Patna, Bihar, India. His research interests include blockchain technology, cloud computing, IoT, AI, and DNA computing. Dr. Namasudra has edited 4 books, 5 patents, and 75 publications in conference proceedings, book chapters, and refereed journals like IEEE TII, IEEE T-ITS, IEEE TSC, IEEE TCSS, IEEE TCBB, ACM TOMM, ACM TOSN, ACM TALLIP, FGCS, CAEE, and many more. He has served as a Lead Guest Editor/Guest Editor in many reputed journals like ACM TOMM (ACM, IF: 3.144), MONE (Springer, IF: 3.426), CAEE (Elsevier, IF: 3.818), CAIS (Springer, IF: 4.927), CMC (Tech Science Press, IF: 3.772), Sensors (MDPI, IF: 3.576), and many more. Dr. Namasudra is the Editor-in-Chief of the Cloud Computing and Data Science (ISSN: 2737-4092 (online)) journal, and he has participated in many international conferences as an organizer and session Chair. He is a member of IEEE, ACM, and IEI. Dr. Namasudra has been featured in the list of the top 2% scientists in the world in 2021 and 2022, and his h-index is 29.

1. Introducing the Internet of Things: Fundamentals, Challenges, and Applications
2. Introduction to Machine Learning: Fundamentals, Algorithms, Challenges, and Applications
3. Revolutionizing Patient Care: The Synergy of IoT and Machine Learning in Smart Healthcare
4. Security, Privacy, and Trust Management of IoT and Machine Learning-based Smart Healthcare Systems
5. Machine Learning-enabled IoT Applications for Smart Healthcare Systems
6. A Smart Healthcare System Using IoT and Machine Learning
7. Predicting and Diagnosis of COVID-19 based on IoT and Machine Learning Algorithm
8. A Novel Scheme for Managing e-Healthcare Data Using IoT and Cloud Computing
9. Improving Security of e-Healthcare Data by Using Machine Learning
10. Research Challenges and Future Work Directions in Smart Healthcare Using IoT and Machine Learning​​​​​​​