Internet of Things and Big Data Analytics-Based Manufacturing [Hardcover]

By enabling the conversion of traditional manufacturing systems into contemporary digitalized ones, IoT adoption in manufacturing creates huge economic prospects through reshaping industries. But as the use of IoT grows, the amount of created data rises, turning industrial data into Industrial Big Data.

Arun Kumar Rana completed his B. Tech degree from Kurukshetra University, M. Tech., and his Ph.D. from Maharishi Markandeshwar (Deemed to be University), Mullana, India. His areas of interest include Image Processing, Wireless Sensor networks, the Internet of Things, AI, and Machine Learning and Embedded Systems. Prof. Rana is currently working as an Assistant Professor 3 at Galgotias College of Engineering and Technology, Greater Noida, India with more than 16 years of experience. He is a collaborative researcher and has published 25 SCI Papers (6 submitted), 30 SCOPUS papers, 25 chapters, and 30 papers in national and international conferences. He has also published 10 books with national and international publishers such as Taylor and Francis.

Sudeshna Chakraborty has over 18 years of experience in academic and industry-academia interface processes including teaching UG, PG, and Ph.D. scholars with the role of Exam Dep. Supervisor. He has a total of 18 national and international patents published and 2 filed. He has published in over 50 national and international journals and conferences and received the Outstanding Academician Award 2020, the Research Excellence Award, and the Academicians Award from the Institute of Scholars 2021. He also received the 2022 Best Speaker Award on Roles and Trends of Engineers on Engineering by the Institute of Engineers of India.

Pallavi Goel is currently working as a professor at the CSE Department Faculty of Engineering and Technology. Dr. Goel leads various departmental level roles, including Industry collabol“Î