Interpretable Cognitive Internet of Things for Healthcare

Dr. Utku Kose received the B.S. degree in 2008 from computer education of Gazi University, Turkey as a faculty valedictorian. He received M.S. degree in 2010 from Afyon Kocatepe University, Turkey in the field of computer and D.S. / Ph. D. degree in 2017 from Selcuk University, Turkey in the field of computer engineering. Between 2009 and 2011, he has worked as a Research Assistant in Afyon Kocatepe University. Following, he has also worked as a Lecturer and Vocational School - Vice Director in Afyon Kocatepe University between 2011 and 2012, as a Lecturer and Research Center Director in Usak University between 2012 and 2017, and as an Assistant Professor in Suleyman Demirel University between 2017 and 2019. Currently, he is an Associate Professor in Suleyman Demirel University, Turkey. He has more than 100 publications including articles, authored and edited books, proceedings, and reports. He is also one of the series editors of the Biomedical and Robotics Healthcare Series by CRC Press. His research interest includes artificial intelligence, machine ethics, artificial intelligence safety, optimization, the chaos theory, distance education, e-learning, computer education, and computer science.

 Dr. Deepak Gupta is an eminent academician; plays versatile roles and responsibilities juggling between lectures, research, publications, consultancy, community service, Ph.D. and post-doctorate supervision, etc. With 13 years of rich expertise in teaching and two years in the 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 is working as Assistant Professor at Maharaja Agrasen Institute of Technology (GGSIPU), Delhi, India. He has served as Editor-in-Chief, Guest Editor, Associate Editor in SCI, and various other reputed journals. He has authored/edited 44 books with National/International level publishers (Elsevier, Springer, Wiley, Katson). He has published 158 scientific research publications in reputed International Journals and Conferences including 80 SCI Indexed Journals of IEEE, Elsevier, Springer, Wiley, and many more. He is senior IEEE member too. He has 3 published patents to his credit.

Dr. Ashish Khanna has 16 years of expertise in Teaching, Entrepreneurship, and Research & Development He received his Ph.D. degree from the National Institute of Technology, Kurukshetra in 2017. He has completed his M. Tech. in and B. Tech. from GGSIPU, Delhi in the year of 2009 and 2004 respectively. He has completed his postdoc from the Internet of Things Lab at Inatel, Brazil, and the University of Valladolid, Spain. He has around 61 SCI-indexed papers in IEEE Transaction, Springer, Elsevier, Wiley, and many more reputed Journals with a cumulative impact factor of above 175 to his credit. He has published around 125 research articles in the form of top SCI/ Scopus journals, conferences, and book chapters. He is a co-author and co-editor of around 28 edited and textbooks. His research interest includes Data Science, Bio-Medical, Distributed Systems, MANET, FANET, VANET, IoT, Evolutionary Computing, and many more. He has served the research field as a Keynote Speaker/ Faculty Resource Person/ Session Chair/ Reviewer/ TPC member/ post-doctorate supervision. He is convener and Organizer of ICICC and ICDAM conference series. He is currently working as Associate Prof. at the Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, under GGSIPU, Delhi, India. He is also serving as series editor in Elsevier and De Gruyter. He is senior IEEE member too. He has 3 published patents to his credit.

 Prof. Joel J. P. C. Rodrigues (joeljr@ieee.org) [S'01, M'06, SM'06, F'20] is a professor at the Federal University of Piauí (UFPI), Brazil; senior researcher at the Instituto de Telecomuni

Introduction.- Essentials of Cognitive IoT for Healthcare.- Interpretability Problem in IoT for Healthcare.- Transparent and Black-Box IoT Systems for Healthcare.- Evaluation of Cognitive Capabilities of IoT in Healthcare.- Massive Health Data Analytics for Cognitive IoT.- Usability Evaluation of Cognitive IoT for Healthcare.- Hybrid Methods for Interpretable IoT for Healthcare.- Interpretable Cognitive IoT for Pandemics.- Interpretable Cognitive IoT for Cancer.- Interpretable Cognitive IoT for Sustainable Massive Health.- Interpretable Cognitive IoT for Health Robotics.- Interpretable Cognitive IoT for Personal Healthcare.- Wearables in the Context of IoT for Massive Healthcare.- Security for Massive Health Data Used by Cognitive IoT.- Future Insights for Interpretable Cognitive IoT in Healthcare.- Conclusion.