From the Back Cover
This book covers a variety of smart IoT applications for industry and research. For industry, the book is a guide for considering the real-time aspects of automation of application domains. The main topics covered in the industry section include real-time tracking and navigation, smart transport systems and application for GPS domains, modern electric grid control for the electricity industry, IoT prospectives for modern society, IoT for modern medical science, and IoT automation for Industry 4.0. The book then provides a summary of existing IoT research that underlines enabling technologies, such as fog computing, wireless sensor networks, data mining, context awareness, real-time analytics, virtual reality, and cellular communications. The book pertains to researchers, outcome-based academic leaders, as well as industry leaders.
- Covers real-time problems for industry along with unique research methodologies for furthering the field;
- Includes authentic research datasets for simulated applications in IoT;
- Features topics such as IoT for retail and supply chain management, smart health, and smart electricity & energy management.
Melody Moh obtained her BS in Electrical Engineering from National Taiwan University, and MS and Ph.D. in Computer Science from University of California - Davis. She joined San Jose State University in 1993, and currently serves as the Chair with the Dept. of Computer Science. Her research interests include IoT, cloud computing, mobile networking, information security, and machine learning applications. Her research has been funded by both government and industry; she has published over 160 refereed papers in international journals, conference proceedings, and books, and has consulted for various companies.
Kanta Prasad Sahrma has a rich innovative teaching experience of more than 13 years. Dr. Sharma has Ph.D in Information Technology from Amity University, Mater from UPTU Lucknow, India. At present, he is working as Assistant Professor in Computer Science & Engineering, Coordinator - Research & Development Cell at GLBAJAJ Group of Institutions. He has published 16+ research papers in with SCI & SCOPUS indexing international Journals and Conference Proceedings and also the Member of ACM, Computer Society of India, IEEE & Governing Body Member of ERDA, IAENG (International Association of Engineering). He has been engaged as faculty guide for more than 15 undergraduate and graduate students and also supervising five M.Tech research scholars in the field of IoT, Navigation and communication, Wireless Sensor Networks, Finger control technology. Dr. Sharma is a member of the Editorial Board of more than 5 International and National Journals. He is presently the editor of Springer, Willy publications and TPC member of more than seven international conferences.
Rashmi Agrawal is PhD and UGC-NET qualified with 19+ years of experience in teaching and research, working as Professor in Department of Computer Applications, Manav Rachna International Institute of Research and Studies, Faridabad, India. She is associated with various professional bodies in different capacities, life member of Computer Society of India, senior member IEEE, ACM CSTA and senior member of Science and Engineering Institute (SCIEI). She is book series editor of Innovations in Big Data and Machine Learning, CRC Press, Taylor and Francis group, USA and Advances in Cybersecurity in Wiley. She has authored/ co-authored many research papers in peer reviewed national/international journals and conferences which are SCI/SCIE/ESCI/SCOPUS indexed. She has also edited/authored books with national/international publishers (Springer, Elsevier, IGI Global, Apple Academic Press, and CRC Press) and contributed chapters in books . Currently she is guiding PhD scholars in Sentiment Analysis, Educational Data Mining, Internet of Things, Brain Computer Interface and Natural language Processing. She is Associate Editor in Journal of Engineering and Applied Sciences and Managing Editor- Journal of Sciences and Technology.
Vicente García-Díaz is an Associate Professor in the Department of Computer Science at the University of Oviedo. He is a Software Engineer, PhD in Computer Science. He has a Master in Occupational Risk Prevention and the qualification of University Expert in Blockchain Application Development. He is also part of the editorial and advisory board of several journals and has been editor of several special issues in books and journals. He has supervised 100+ academic projects and published 100+ research papers in journals, conferences, and books. His teaching interests are primarily in the design and analysis of algorithms and the design of domain-specific languages. His current research interests include decision support systems, health informatics and eLearning.
