The Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization offers extensive research on lifestyle management and services that contribute towards indication, detection, conduction, protection, and technological enhancement including machine learning, deep learning, artificial intelligence, big data analytics, and visualization. It also provides mechanisms that can improve lifestyle monitoring and help in increasing the immunity of the human body. Covering topics such as big data, robot therapy, and wearable technology, it is ideal for students, researchers, technologists, IT specialists, computer engineers, systems engineers, data scientists, doctors, hospital administrators, engineers, academicians, and technology providers.
Arti Jain is working as Assistant Professor (Sr. Grade), CSE at Jaypee Institute of Information Technology, Noida, India. She has academic experience of over eighteen years. She completed her Ph.D. (CSE) in 2019 at JIIT Noida. She is member of IEEE, INSTICC, IAENG, IASSE, IFERP, and Life Member of TERA. She has more than twenty research papers in peer-reviewed international journals, book chapters, and international conferences. She has supervised one M. Tech Thesis and around 100 B. Tech projects. Currently, she is supervising one Ph.D. candidate in the area of social network analysis. She is an editorial board member of the American Journal of Neural Networks and Applications. She has served as International advisory committee member of ICASETM-2020, Dubai and ICRTMDR-2020, Maldives. She is an outreach committee member of ICRAET 2021, India. She is also a reviewer of International Journals-Taylor & Francis, IGI Global, Wiley, TISA and Inderscience. She is a TPC member and reviewer of several International Conferences within India and abroad. She is a session organizer in ICICC 2020-2021, Springer. Her research interests include NLP, machine learning, deep learning, social media analysis, big data and data mining.
John Wang is a professor in the Department of Information & Operations Management at Montclair State University, USA. Having received a scholarship award, he came to the USA and completed his PhD in operations research from Temple University. Due to his extraordinary contributions beyond a tenured full professor, Dr. Wang has been honored with a special range adjustment in 2006. He has published over 100 refereed papers and seven books. He has also developed several computer software programs based on his research findings.
He is the Editor-in-Chief of International Journal of Applied Management Science, International Journal of Operations Research and Information Systems, and International Journal of Information Systems and Supply Chain Management. He is the Editor of Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications (six-volume) and the Editor of the Encyclopedia of Data Warehousing and Mining, 1st (two-volume) and 2nd (four-volume). His long-term research goal is on the synergy of operations research, data mining and cybernetics. [Editor]