A Review of Applications, Security and Challenges of Internet of Medical Things.- Applications and Challenges of Cloud Integrated IoMT.- An Effective Fuzzy Logic Based Clustering Scheme for Edge-Computing Based Internet of Medical Things Systems.- An IOT Based Medical Tracking System (IMTS) and Prediction with Probability of Infection.
Dr. Aboul Ella Hassanien is Founder and Head of the Egyptian Scientific
Research Group (SRGE). He has more than 1000 scientific research papers pub-
lished in prestigious international journals and over 50 books covering diverse
topics such as data mining, medical images, intelligent systems, social networks and
smart environment. He won several awards including the Best Researcher of the
Youth Award of Astronomy and Geophysics of the National Research Institute,
Academy of Scientific Research (Egypt, 1990). He was also granted a Scientific
Excellence Award in Humanities from the University of Kuwait for the 2004
Award and received the superiority of scientific—University Award (Cairo
University, 2013). Also, he honored in Egypt as the best researcher in Cairo
University in 2013. He also received the Islamic Educational, Scientific and
Cultural Organization (ISESCO) prize on Technology (2014) and received the State
Award for Excellence in Engineering Sciences 2015. He was awarded the Medal of
Sciences and Arts of the first class by the President of the Arab Republic of Egypt,
2017. He was awarded the International Scopus Award for the meritorious research
contribution in the field of computer science (2019).
Dr. Aditya Khamparia has expertise in teaching, entrepreneurship and research
& development of 8 years. He received his Ph.D. degree from Lovely Professional
University, Punjab, in May 2018. He has completed his M.Tech. from VIT
University and B.Tech. from RGPV, Bhopal. He has completed his PDF from
UNIFOR, Brazil. He has around 65 research papers along with chapters including
more than 15 papers in SCI indexed journals with cumulative impact factor of
above 50 to his credit. Additionally, he has authored and edited five books.
Furthermore, he has served the research field as Keynote Speaker/Session
Chair/Reviewer/TPC Member/Guest Editor and many more positions in various
conferences and journals. His research interests include machine learning, deep
Dr. Deepak Gupta is an eminent academician and plays versatile roles and
responsibilities juggling between lectures, research, publications, consultancy,
community service, Ph.D. and postdoctorate supervision, etc. With 13 years of rich
expertise in teaching and two years in industry, he focuses on rational and practical
learning. He has contributed massive literature in the fields of human-computer
interaction, intelligent data analysis, nature-inspired computing, machine learning
and soft computing. He has served as Editor in Chief, Guest Editor and Associate
Editor in SCI and various other reputed journals. He has completed his postdoc
from Inatel, Brazil, and Ph.D. from Dr. A.P.J. Abdul Kalam Technical University.
He has authored/edited 37 books with national-/international-level publisher
(Elsevier, Springer, Wiley, Katson). He has published 132 scientific research
publications in reputed international journals and conferences including 62 SCI
indexed journals of IEEE, Elsevier, Springer, Wiley and many more. He is the
convener and organizer of ‘ICICC’ Springer conference series.
Dr. K. Shankar is currently Postdoc Fellow in the Alagappa University,
Karaikudi, India. Collectively, he authored/co-authored over 50+ ISI journal arti-
cles (with total impact factor 150+) and 100+ Scopus indexed articles. He has
guest-edited several special issues at many journals published by SAGE,
TechScience, Inderscience and MDPI. He has served as Guest Editor and Associate
Editor in SCI, Scopus indexed journals like Elsevier, Springer, IGI, Wiley & MDPI.
He has served as Chair (program, publications, Technical Committee and track) on
several international conferences. He has delivered several invited and keynote
talks, and reviewed the technology leading articles for journals like Scientific
Reports—Nature, the IEEE Journal of Biomedical and Health Informatics, IEEE
Transactions on Reliability, the IEEE Access, the IEEE Internet of Things, Big Data
Research, Human-centric Computing and Information Sciences, and the IEEE
Internet of Things. He authored/edited conference proceedings, chapters and two
books published by Springer. He has been a part of various seminars, paper pre-
sentations, research paper reviews, and convener and a session chair of the several
conferences. He displayed vast success in continuously acquiring new knowledge
and applying innovative pedagogies, has always aimed to be an effective educator
and has a global outlook. His current research interests include healthcare applications, secret image sharing scheme, digital image security, cryptography, Internet
of Things and optimization algorithms.
Adam Slowik (IEEE Member 2007; IEEE Senior Member 2012) received the
B.Sc. and M.Sc. degrees in computer engineering and electronics in 2001 and the
Ph.D. degree with distinction in 2007 from the Department of Electronics and
Computer Science, Koszalin University of Technology, Koszalin, Poland. He
received the Dr. Habil. degree in computer science (intelligent systems) in 2013
from the Department of Mechanical Engineering and Computer Science,
Czestochowa University of Technology, Czestochowa, Poland. Since October
2013, he has been Associate Professor in the Department of Electronics and
Computer Science, Koszalin University of Technology. His research interests include soft computing, computational intelligence and, particularly, bio-inspired
optimization algorithms and their engineering applications. He is a reviewer for
many international scientific journals. He is Author or Coauthor of over 80 refereed
articles in international journals, two books and conference proceedings, including
one invited talk. He is Associate Editor of the IEEE Transactions on Industrial
Informatics. He is Member of the program committees of several important inter-
national conferences in the areas of artificial intelligence and evolutionary com-
putation. He was a recipient of one Best Paper Award (IEEE Conference on Human
System Interaction—HSI 2008).
This book aims to provide a detailed understanding of IoMT-supported applications while engaging premium smart computing methods and improved algorithms in the field of computer science. It contains thirteen chapters discussing various applications under the umbrella of the Internet of Medical Things. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled the evaluation of the proposed solutions.