Book Series: World Scientific Series on Future Computing Paradigms and Applications

Series Editor
Professor Brij B Gupta
Director, International Center for AI and Cyber Security Research and Innovations &
Full Professor of Department of Computer Science and Information Engineering (CSIE)
Asia University, Taichung, 413, Taiwan
Email: bbgupta@asia.edu.tw
More about the Series Editor

Editorial Board Members
Gregorio Martinez Perez (University of Murcia, Spain)
Dragan Peraković (University of Zagreb, Croatia)
Deepak Gupta (LoginRadius Inc., Canada)
Zhili Zhou (Nanjing University of Information Science and Technology, NUIST, China)
Nadia Nedjah (State University of Rio de Janeiro, Brazil)
Miltiades D Lytras (Deree College,The American College of Greece, Greece)
Konstantinos Psannis (University of Macedonia, Greece)
Kwok Tai Chui (Hong Kong Metropolitan University, Hong Kong)
Arcangelo Castiglione, (University of Salerno, Salerno, Italy)
Ching-Hsien Hsu (Asia University, Taichung, Taiwan)

Future computing paradigms relate to newer and powerful data production, data processing, and data analysis methods, such as cloud computing, edge computing, AI, machine learning and deep learning, which are impacting and improving the world, making it a better place for us.

These emerging fields of study involve new concepts and hold promise for many practical applications of the underlying technologies. Future computational paradigms encompass techniques that can be integrated with cutting-edge engineering technologies, such as AI, fuzzy logic, blockchain, machine learning, and deep learning. This integration can significantly aid researchers in identifying many more new research directions and dimensions. Today, digital technology and devices are being used in several areas, including neurobiology, sociology, finance and political science. In this context, there is a need to provide an outline of the benefits and drawbacks of future computing paradigms in addition to a complete overview of the latest techniques like big data, AI, ML and smart transport. The purpose here is to present the integration of different technologies with other related technologies that leads to the development of efficient future computing paradigms for digital technologies. This series will include textbooks, monographs, review volumes and a variety of book categories on key topics of interest, including data fusion, artificial neural networks, fuzzy logic, big data analytics, computational intelligence, hybrid computational intelligence, artificial intelligence, machine learning, deep learning, cognitive electronics, blockchain, malware analysis, botnet, distributed computing, parallel computing, DDoS attack, wireless sensor network, VANET and Smart Oceans.

This series is another milestone in World Scientific’s continuing efforts in bringing quality content to cutting-edge and frontier areas of computer sciences and technologies. The volumes in this series will aim to elucidate the relationships and interactions among various new and emerging technologies, filling in any obvious research gaps and highlighting pointers and directions that are expected to emerge for further research and applications. This series aspires to cover new trends and advancements in next-generation computational intelligence methods and technologies and is intended for researchers, students, academics, and members of the business community working in the area.

To submit new book proposals to this series, please download the Book Proposal Form from https://www.worldscientific.com/page/authors/index and email completed form with all details of your proposal to Prof. Gupta (gupta.brij@ieee.org, bggupta@asia.edu.tw)/Nisha Das (nisha_wspc@wspc.com).