IoT-Based Data Analytics for the Healthcare Industry

Sanjay Kumar Singh received the M.Tech. degree in computer applications from the IIT (ISM), Dhanbad, India, in 1995, and the Ph.D. degree in computer science and engineering from Uttar Pradesh Technical University, Lucknow, India, in 2004. He is currently a Professor with the Department of Computer Science and Engineering, IIT (BHU) Varanasi, Varanasi, India. He has authored or coauthored more than 150 national and international journal publications, book chapters, and conference papers. His current research interests include biometrics, computer vision, image and video processing, pattern recognition, and artificial intelligence. Dr. Singh is a member of the ACM and Computer Society of India. He is a Guest Editorial Board Member, a reviewer for various journals, and a TPC Member for various conferences. Ravi Shankar Singh is Associate Professor at Department of Computer Science and Engineering, IIT (BHU), Varanasi, India. He received his B. Tech., M. Tech. and Ph.D., all in Computer Science and Engineering. His research interests include Algorithms and High Performance Computing. He has authored several research publications and one book. He has conducted many workshops/seminars in various areas of Computer Science and Engineering. He has served as reviewer of many reputed international journals. Anil Kumar Pandey completed his master degree in Mathematics and Postgraduate Diploma in Computer Science Application. He has done Master in Computer Science and Computer Application. He has done Ph.D in Computer Science He is working as Programmer in Banaras Hindu University. He has about 32 years experience of teaching and Research. Dr. Pandey have exposure of community based data analysis. He has assisted more than 20 Ph.D. students in Science, Humanities and Medicine. He has expertise in relational data base management system, AI and machine learning and IOT. Sandeep S. Udmale received the B.E. degree in computer engineering from the University of Mumbai, Mumbai, India, in 2006, and the M.Tech. degree in computer engineering from Dr. Babasaheb Ambedkar Technological University, Raigad, India, in 2009. He is currently pursuing the Ph.D. degree in computer science and engineering with IIT (BHU) Varanasi, Varanasi, India. He is currently an Assistant Professor with the Department of Computer Engineering and Information Technology, Veermata Jijabai Technological Institute, Mumbai, India. His current research interests include machine learning, data science, and optimization and pattern analysis. Mr. Udmale is a member of the ACM and Computer Society of India. Ankit Chaudhary is an Assistant Professor at Dept. of Computer Science, The University of Missouri at Saint Louis. He received his B.Tech., M.Eng. and Ph.D., all in Computer Engineering. His research interests include Data Science, Computer Vision and Cyber Security. He has authored seventy research publications and two books. He is an Associate Editor of Computers and Electrical Engineering, an Elsevier Journal. Also he is on the Editorial Board of several International Journals and serves as Program Chair/TPC in many Conferences. He served as federal grant reviewer and also a reviewer for Journals including IEEE Trans. on Image Processing, IEEE Trans. on Multimedia, IEEE Trans. on Visualization & Computer Graphics, IET Computer Vision, IET Image Processing, ACM Trans. on Interactive Intelligent Systems, Signal Image and Video Processing, Robotics and Autonomous Systems.

• SECTION I: Health IoT data analytics1. Internet of things in the healthcare industry2. IoT healthcare architecture3. Characteristics of IoT health data4. Health data analytics using Internet of things5. Computational intelligence in Internet of things for future healthcare applicationsSECTION II: IoT services in health industry6. IoT services in healthcare industry with fog/edge and cloud computing7. Multicriteria decision-making in health informatics using IoT8. A research review on semantic interoperability issues in electronic health record systems in medical healthcare9. IoT for health insurance companies10. Security and privacy challenges in healthcare using Internet of Things11. A secure blockchain-based solution for harnessing the future of smart healthcareSECTION III: Applications of IoT for human12. Designing an effective e-healthcare system using Internet of Things13. Heart rate monitoring system using Internet of Things14. A smart hand for VI: Resource-constrained assistive technology for visually impaired15. MIoT: Medical Internet of Things in pain assessmentSECTION IV: Applications of IoT for animals16. Applications of Internet of Things in animal science17. Internet of animal health things (IoAT): A new frontier in animal biometrics and data analytics research18. Internet of Things for control and prevention of infectious diseases19. Telemedicine system for animal using low bandwidth cellular communication post COVID-1920. Internet of things and other emerging technologies in digital pathology