Smart Data: State-Of-The-Art Perspectives in Computing and Applications

Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent decision making and prediction services support for business, science, and engineering. It also examines the latest research trends in fields related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features contributions from leading experts and covers cutting-edge topics such as smart data and cloud computing, AI for networking, smart data deep learning, Big Data capture and representation, AI for Big Data applications, and more.

Features

• Presents state-of-the-art research in big data and smart computing
• Provides a broad coverage of topics in data science and machine learning
• Combines computing methods with domain knowledge and a focus on applications in science, engineering, and business
• Covers data security and privacy, including AI techniques
• Includes contributions from leading researchers

Kuan-Ching Li is a Distinguished Professor of Computer Science and Engineering at

Providence University, Taiwan. He is a recipient of guest and distinguished chair

professorships from universities in China and other countries, and awards and funding

support from a number of agencies and industrial companies. He has been actively

involved in many major conferences and workshops in program/general/steering conference

chairman positions, and has organized numerous conferences related to highperformance

computing and computational science and engineering. He is a Fellow of

IET, senior member of the IEEE and a member of the AAAS, Editor-in-Chief of

International Journal of Computational Science and Engineering (IJCSE), International

Journal of Embedded Systems (IJES), and International Journal of High Performance

Computing and Networking (IJHPCN), published by Inderscience. Besides publication

of journal and conference research papers, he is co-author/co-editor of several technical

professional books published by CRC Press, Springer, McGraw-Hill and IGI Global. His

research interests include GPU/many-core computing, Big Data, and Cloud.

Beniamino DiMartino is Full Professor at the University of Campania (Italy). He is

author of 14 international books and more than 300 publications in international journals

and conferences; has been Coordinator of EU funded FP7-ICT Project mOSAIC, and

participates to various international research projects; is Editor / Associate Editor of seven

international journals and EB Member of several international journals; is vice Chair of

the Executive Board of the IEEE CS Technical Committee on Scalable Computing; is

member of: IEEE WG for the IEEE P3203 Standard on Cloud Interoperability, IEEE

Intercloud Testbed Initiative, IEEE Technical Committees on Scalable Computing (TCSC)

and on Big Data (TCBD), Cloud Standards Customer Council, Cloud Computing Experts'

Group of the European Commission.

Dr. Laurence T. Yang is a professor and W.F. James Research Chair at St. Francis

Xavier University, Canada. His research includes parallel and distributed computing,

embedded systems/internet of things, ubiquitous/pervasive computing and intelligence,

and big data. He has published around 400 international journal papers in the above

areas, of which half are on top IEEE/ACM Transactions and Journals, others ar mainly

on Elsevier, Springer and Wiley Journals. He has been involved actively act as a steering

chair for 10+ IEEE international conferences. Now he is the chair of IEEE CS Technical

Committee of Scalable Computing (2018-), the chair of IEEE SMC Technical Committee

on Cybermatics (2016-) . He is also serving as an editor for many international journals

(such as IEEE Systems Journal, IEEE Access, Future Generation of Computer Systems

(Elsevier), Information Sciences (Elsevier), Information Fusion (Elsevier), Big Data

Research (Elsevier), etc). He is an elected fellow of Canadian Academy of Engineering

(CAE) and Engineering Institute of Canada (EIC).

Dr. Zhang is an Assistant Professor at St. Francis Xavier University, Canada. His

research interests include big data, machine learning, and smart medicine. He has

published more than 20 top international journal papers on the above topics including

papers in IEEE Transactions on Computers, IEEE Transactions on Services Computing,

ACM Multimedia Computing, Communications and Applications, and so on. He got an

IEEE TCSC Award for Excellence in Scalable Computing for Early Career Researchers in

2018. He served as vice chair of IEEE Canada Atlantic Section CIS/SMC joint chapter

(2018-2019). He served as a program chair of IEEE 14th International Conference on

Pervasive, Intelligence and Computing (PICom 2016) and IEEE 11th International

Conference on Internet of Things (iThings 2018). In addition, he is one of the guest

editors of several international journals such as Future Generation Computer Systems,

IEEE Access and Wireless Communication and Mobile Computing.