IOP Series in Next Generation Computing

Series Editors: Prateek Agrawal, University of Klagenfurt, Austria and Lovely Professional University, India; Anand Sharma, Mody University of Science and Technology, India; Vishu Madaan, Lovely Professional University, India

About the Series

The motive of this series is to develop a trusted library on computational intelligence-based methods, technologies and their applications.

This series focuses on the latest developments in next generation computing, and in particular on the synergy between computer science and other disciplines. Books in the series will explore new developments in various disciplines that are relevant for computational perspective including foundations, systems, innovative applications and other research contributions related to the overall design of computational tools, models and algorithms that are relevant for the respective domain. It encompasses research and development in artificial intelligence, machine learning, block chain technology, quantum cryptography, quantum computing, nanoscience, bioscience-based sensors, IoT applications, nature inspired algorithms, computer vision, bioinformatics etc. and their applications in the areas of science, engineering, business and social sciences. It covers a broad spectrum of applications in the community, from industry, government, and academia.

The aim of the series is to provide an opportunity for prospective researchers and experts to publish works based on next generation computing and its diverse applications. It also provides a data-sharing platform that will bring together international researchers, professionals and academics. This series brings together thought leaders, researchers, industry practitioners, and potential users of different disciplines to develop new trends and opportunities, exchange ideas and practices related to advanced computational methods and promote interdisciplinary knowledge.