Ritika Wason, PhD, is a deputy director and associate professor with Bharati Vidyapeeth’s Institute of Computer Applications and Management, New Delhi, India. She completed her PhD at Sharda University, Greater Noida, India and is the managing editor of the International Journal of Information Technology. Wason is an avid researcher who has authored four books, published eight patents and 40 papers in leading international journals. Parul Arora, PhD, is an associate professor with Bharati Vidapeeth’s Institute of Computer Applications and Management, New Delhi, India. Arora has published research papers in renowned journals and conferences. Parma Nand, PhD, is a professor and pro-vice chancellor at Sharda University, Greater Noida, India. He has a PhD in computer science and engineering from IIT Roorkee, India. His 28 years of experience has been divided between academia and industry. He has led numerous international conferences and is on many executive councils and committees. He also received various awards, such as the Best Teacher Award, the Best Faculty Award, and best students project guide award from Microsoft in 2015. Vishal Jain, PhD, is an associate professor in the Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, India. His research areas include information retrieval, semantic web, ontology engineering, etc. He has authored more than 90 research papers in reputed conferences and journals and has edited numerous books, many of them with the Wiley-Scrivener imprint. He received the Young Active Member Award 2012-2013 from the Computer Society of India. Vinay Kukreja, PhD, is a professor at the Office of Research Publications, Chitkara University, Punjab, India. He has authored more than 120 research articles in peer-reviewed journals and conferences, three books as well as more than 40 patents. His research topics include machine learning, deep learning, agile software development, image processing, data analysis, and structural equation modeling.