Internet of Medical Things for Smart Healthcare: Covid-19 Pandemic: 80 (Studies in Big Data) - Softcover

Über die Autorin bzw. den Autor

Dr. Chinmay Chakraborty is an Assistant Professor (Sr.) in the Department of Electronics and Communication Engineering, BIT Mesra, India. His primary areas of research include Wireless body area network, Internet of Medical Things, point-of-care diagnosis, Wireless Networks, Telemedicine, m-Health/e-health, and Medical imaging. Dr. Chakraborty is co-editing Eight books on Smart IoMT, Healthcare Technology, and Sensor Data Analytics with CRC Press, IET, Pan Stanford, and Springer. He received a Young Research Excellence Award, Global Peer Review Award, Young Faculty Award, and Outstanding Researcher Award.

Dr. Amit Banerjee joined the Advanced Device Research Division, Research Institute of Electronics, Shizuoka University, National University Corporation, Japan as a Scientific Researcher in 2016 and was also part of the Innovative Photonics Evolution Research Center at Hamamatsu, Japan. He later joined the Microelectronic Technologies & Devices, Department of Electrical and Computer Engineering of the prestigious National University of Singapore, as Scientist in 2017. Currently Amit is member of 30+ international advisory boards, including Ocuro Science  and Technology (biomed-startup); Ominar Innovations (biomed-startup); EDGE196, EntrepreneursFace, Digivalley Innovations; ULVAC Technologies Inc, ISF Analytica & Informatica; Asentrex Global, Arohan Educan Ltd. London, UK; Ambassador, Bentham Science Publishers, among others. Amit holds Ph.D. degree in Semiconductor Technology and has co-authored several scientific papers, presented in several international conferences as plenary and keynote speakers, received several national/international awards, edited seven books. His current work is on THz detectors, compatible with the state-of-the-art medium-scale semiconductor device fabrication processes, with commercial viability as on-chip integrable detector arrays for terahertz imaging.

Dr. Lalit Garg is a Senior Lecturer in Computer Information Systems at the University of Malta, Malta. He is also an Honorary Lecturer at the University of Liverpool, UK. His research interests are missing data handling, machine learning, data mining, mathematical and stochastic modeling, operational research, and their applications, especially in the healthcare domain. He has published over 80 technical papers in refereed high impact journals, conferences, and books and has more than 500 citation count to his publications. He has organized many conferences and also delivered keynotes in many other conferences.

Prof. Joel J. P. C. Rodrigues [S’01, M’06, SM’06, F’20] is a professor at the Federal University of Piauí, Brazil; senior researcher at the Instituto de Telecomunicações, Portugal; and collaborator of the Post-Graduation Program on Teleinformatics Engineering at the Federal University of Ceará (UFC), Brazil. He is theleader of the Next Generation Networks and Applications (NetGNA) research group (CNPq), an IEEE Distinguished Lecturer, Member Representative of the IEEE Communications Society on the IEEE Biometrics Council. He was Director for Conference Development - IEEE ComSoc Board of Governors, a Past-Chair of the IEEE ComSoc TCs on eHealth and on Communications Software. He is the editor-in-chief of the International Journal of E-Health and Medical Communications. He has authored or coauthored over 900 papers in refereed international journals and conferences, 3 books, 2 patents, and 1 ITU-T Recommendation. Senior member of ACM and Fellow of IEEE. 

Von der hinteren Coverseite

This book&nbsp;covers COVID-19 related research works and focuses on recent advances in the Internet of Things (IoT) in smart healthcare technologies. It includes reviews and original works on COVID-19 in terms of e-healthcare, medicine technology, life support systems, fast detection,&nbsp;diagnoses, developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, solutions for monitoring and control of the spread of COVID-19, among other topics. The book covers comprehensive studies from bioelectronics and biomedical engineering, artificial intelligence, and big data with a prime focus on COVID-19 pandemic.<br>