Cyber-Enabled Intelligence  book cover
1st Edition

Cyber-Enabled Intelligence

ISBN 9780367184872
Published August 28, 2019 by Taylor & Francis
335 Pages

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Book Description

The book provides an advanced vision and trends of computational intelligence in cyberspace and cyber-enabled spaces. It reviews  architectures and models, as well as state-of-the-art computational and interpretation capabilities for social, industrial, and multimedia applications. Cyber-enabled intelligence involves the design and development of intelligent and innovative application scenarios in social networks, computer vision, multimedia, and image processing. Application scenarios can also cover the applicability of intelligent sensing, data collection and predictive analysis in Internet of Things.

Table of Contents

1. Introduction. 2. Cyber-Enabled Intelligence Architectures and applications. 3. Enabling Technologies and Research Domains. 4. Cyber Intelligence and Machine Learning Techniques. 5. Advancements of Social Intelligence with Cyber Intelligence. 6. Security and Privacy in Cyber-Enabled intelligent/smart Applications. 7. Supporting Technologies and Research Area for Cyber-Enabled Intelligence.

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Huansheng Ning, PhD, earned his PhD from Beihang University in 2001.

Currently, he is a professor and vice dean of the School of Computer and

Communication Engineering, University of Science and Technology, Beijing,

China. His current research focuses on Internet of Things, cyber philosophy, science

and technology. Dr. Ning is the founder of Cyberspace and Cybermatics

International Science and Technology Cooperation Base, and co-founder and

vice chair of Beijing Engineering Research Center for Cyberspace Data Analysis

and Applications. He serves as a steering committee member of IEEE Internet of

Things Journal and associate editor of IEEE System Journal. He is co-chair of IEEE

Transactions on Cybermatics. He hosted the 2013 World Cybermatics Congress and

the 2015 Smart World Congress as the joint executive chair. Dr. Ning received the

IEEE Computer Society Meritorious Service Award in 2013, and IEEE Computer

Society Golden Core Award in 2014. He is an IET fellow and IEEE senior member.


Liming Chen, PhD, is professor of Computer Science in the School of Computer

Science and Informatics at De Montfort University, Leicester, UK. He earned his

BEng and MEng from Beijing Institute of Technology (BIT), China, and his PhD

in Artificial Intelligence from De Montfort University, UK. His current research

interests include data analytics, pervasive computing, artificial intelligence, and

user-centered intelligent systems and their applications in smart healthcare. He is

well published with more than 190 books, book chapters, journals/transactions,

and conference and workshop articles in the above areas. Dr. Chen is an IET fellow,

an IEEE senior member, a co-founder and co-director of the UK-China Gait

and Health Innovation Institute at the DMU-USTB (University of Science and

Technology Beijing, China) Joint Research Lab on Smart Healthcare and the IEEE

CIS "User-centred Smart Systems" Task Force.


Ata Ullah, PhD, earned his BS and MS in Computer Science from COMSATS

University, Islamabad, Pakistan, in 2005 and 2007, respectively, and PhD in

Computer Science from IIUI, Pakistan, in 2016. From 2007 to 2008, he was a

software engineer at Streaming Networks, Islamabad. Dr. Ullah contributed to

the National University of Modern Languages (NUML), Islamabad, Pakistan

as lecturer/head project committee from 2008 to 2015 and as assistant professor

from 2015 to 2017 in the Department of Computer Science. From 2017 to 2018,

he worked as a research fellow at the School of Computer and Communication

Engineering, University of Science and Technology, Beijing, China. Dr. Ullah

rejoined NUML in September 2018. He has supervised 112 projects. He has

authored several papers in impact factor journals and contributed to books as well.

He is also a reviewer and guest editor. His areas of interest are WSN, IoT, cyber

physical social thinking (CPST) space, cyber-intelligence, and health services.


Xiong Luo, PhD, earned his PhD from Central South University, China, in

2004. From 2004 to 2005, he received postdoctoral fellowships from Tsinghua

University, China. From 2012 to 2013, he was a visiting scholar at Arizona State

University, USA. He currently works as a full professor in the School of Computer

and Communication Engineering, University of Science and Technology,

Beijing, China. His current research interests include machine learning, cloud

computing, and cyber-physical systems. He has published extensively in his areas

of interest in journals such as IEEE Transactions on Industrial Informatics, IEEE

Transactions on Human-Machine Systems, IEEE Transactions on Network Science

and Engineering, IEEE Internet of Things Journal, and Future Generation Computer

Systems. Prof. Luo is a senior member of IEEE. He was a recipient of the 2002 IEEE

CSS/Beijing Chapter Young Author Best Paper Award.