Internet of Things (IoT): Concepts and Applications

Dr. Mansaf Alam received his doctoral degree in Computer Science from Jamia Millia Islamia, New Delhi in the year 2009. He is currently working as Associate Professor at the Department of Computer Science, Jamia Millia Islamia. Moreover, he is a recipient of the prestigious Visvesvaraya Young Scientist Research Fellow Award from DietY, Government of India and serves as the Editor-in-Chief of Journal of Applied Information Science. He is in the Editorial Board of some reputed International Journals in Computer Sciences and has published several research papers. He has two books entitled as “Concepts of Multimedia” and “Digital Logic design” to his credit. His areas of research include Cloud Computing, Big Data Analytics, Internet of Things and Deep Learning.

Dr. Kashish Ara Shakil has received her Ph.D. degree in Computer Science from Jamia Millia Islamia, New Delhi in the year 2017. She is currently working as Assistant Professor at College of Computer and Information Sciences, Princess Nora Bint AbdulRahman University, Saudi Arabia. She has done a Bachelor’s degree in Computer Science from Delhi University and has an MCA degree from Jamia Hamdard. She has written several research papers in the field of Cloud computing. Her areas of interest include database management using Cloud Computing, Big Data Analytics, IoT, distributed and service computing.

Ms. Samiya Khan is an alumna of Sri Venkateswara College, University of Delhi (Bachelors Degree) and Institute of Informatics and Communication, University of Delhi, South Campus (Masters Degree). She is currently pursuing doctoral studies at Department of Computer Science, Jamia Millia Islamia, New Delhi, and has many research articles and book chapters in publications of international repute. She is a regular contributor to magazines like CSI Communications and Scientific India Magazine and serves as reviewer for many reputed journals and conferences. Her research interests include Data Science, Big Data, IoT, Data-Intensive Computing and Machine Learning.