Evolving Role of AI and IoMT in the Healthcare Market

Prof. Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen's University, Kingston, Ontario, Canada, in 2011. He is a full professor and a research center director at Near East University, Nicosia, Cyprus. Prof. Al-Turjman is a leading authority in the areas of smart/intelligent, wireless, and mobile networks' architectures, protocols, deployments, Multimedia analysis and performance evaluation. His publication history spans over 250 publications in journals, conferences, patents, books, and book chapters, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 25 books about cognition, security, and wireless sensor networks' deployments in smart environments, published by Taylor and Francis, Elsevier, and Springer. He has received several recognitions and best papers' awards at top international conferences. He also received the prestigious Best Research Paper Award from Elsevier Computer Communications Journal for the period 2015-2018, in addition to the Top ResearcherAward for 2018 at Antalya Bilim University, Turkey. Prof. Al-Turjman has led a number of international symposia and workshops in flagship communication society conferences. Currently, he serves as an associate editor and the lead guest/associate editorfor several well reputed journals, including the IEEE Communications Surveys and Tutorials (IF 22.9) and the Elsevier Sustainable Cities and Society(IF 4.7).

 

Dr. Manoj Kumar obtained his Ph.D. Computer Science from The Northcap University, Gurugram. He did his B. Tech in computer science from Kurukshetra University. He obtained M. Sc. (Information Security and Forensics) degree from ITB, Dublin in and M. Tech from ITM University. Mr. Kumar has 9.5+ years of experience in research and academics. He published over 29 publications in reputed journals and conferences. He published 2 books and 5 patents with his team. Presently, Mr. Kumar is working on the post of assistant professor (SG), (SoCS) in university of petroleum and energy studies, Dehradun. He is a member of various professional bodies and reviewed for many reputed journals. He is Editorial Board Member in The International Arab Journal of Information Technology (IAJIT), Jordon and Journal of Computer Science Research, Singapore. He is recognized as Quarterly Franklin Member (QFM) by London Journal Press from March 2019 onwards and Bentham Ambassador (India) on behalf of Bentham Science Publisher. He delivered various key speech and talks in national and international forums.

 

Dr. Thompson Stephan is currently holding the position of Assistant Professor in the Department of Computer Science and Engineering from Amity University, Noida, India. He received his B.E in Computer Science and Engineering and M.E in Computer Science and Engineering from Anna University, India. He received the Ph.D. degree in Computer Science and Engineering from Pondicherry University, India. His research interests include the application of artificial intelligence and machine learning techniques in the areas of wireless communication. He has authored many technical research papers published in leading journals and conferences from the IEEE, Elsevier, Springer, etc. He is an active reviewer in many international reputed journals.

 

Dr. Akashdeep Bhardwaj received his Ph.D. in Computer Science and is currently working as Professor (Cybersecurity & Digital Forensics) in the School of Computer Science at the University of Petroleum and Energy Studies (UPES), Dehradun. Dr. Bhardwaj has over 25 years of IT industry experience in Cybersecurity, Digital Forensics and IT Management Operations, having worked with several global multi nationals such as British Telecom, Fiserv, Cvent, Motricity, SafeNet (Gemalto) and HP. His publication experience spans several research publications in highly referred journals, conferences, patents, books, and book chapters

Introduction.- Insights on Cognitive Neuroscience Based on Deep Neural Networks.- Robot Assisted Treatment for Children with Learning Disabilities.- Machine learning based approaches for detecting COVID-19 using clinical data in an IoMT environment.- COVID-19 Epidemic Analysis using Deep Learning Approaches.- A Cancer Diagnosis System for Detection of Lung Cancers in an IOMT Environment.- An IOMT-Based Diagnosis System for COVID-19.- Prediction of COVID-19 Epidemic Curve of India: A Machine Learning Approach.- Internet of Medical Things (IoMT) services during COVID-19 pandemic: Roles, challenges, and applications.- Tackling Security and Privacy in Internet of Medical Things (IoMT).- Lightweight AI-Based Security Solutions in IoMT.- Conclusion.

Erscheinungsdatum	08.01.2022
Zusatzinfo	X, 281 p. 1 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	595 g
Themenwelt	Technik ► Elektrotechnik / Energietechnik
	Technik ► Nachrichtentechnik
Schlagworte	AI and social scientists • Artificial Intelligence • behavior science • Big Data Analytics • Commerce and Trade • IOT and their critical Applications • machine learning • Managing IOT Applications • Media & Mass communication • pattern recognition • ware house management
ISBN-10	3-030-82078-5 / 3030820785
ISBN-13	978-3-030-82078-7 / 9783030820787
Zustand	Neuware

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