Information Innovation Technology in Smart Cities
Autor: | Leila Ismail, Liren Zhang |
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EAN: | 9789811017414 |
eBook Format: | |
Sprache: | Englisch |
Produktart: | eBook |
Veröffentlichungsdatum: | 28.11.2017 |
Kategorie: | |
Schlagworte: | Big Data Communication Infrastructure Cyber Security Data Center Networks IT Innovation Information Communication Technology Internet of Things Smart City Smart Collaborative Platforms Smart Grid Sustainable Development |
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This book describes Smart Cities and the information technologies that will provide better living conditions in the cities of tomorrow. It brings together research findings from 27 countries across the globe, from academia, industry and government. It addresses a number of crucial topics in state of the arts of technologies and solutions related to smart cities, including big data and cloud computing, collaborative platforms, communication infrastructures, smart health, sustainable development and energy management.
Information Innovation Technology in Smart Cities is essential reading for researchers working on intelligence and information communication systems, big data, Internet of Things, Cyber Security, and cyber-physical energy systems. It will be also invaluable resource for advanced students exploring these areas.
Dr. Ismail is an Associate Professor at the College of Information Technology (CIT) of the United Arab Emirates University (UAEU), UAE, joined in 2005, and is the founder and director of the High Performance, Grid & Cloud Computing Research Laboratory at CIT, and the UAEU supercomputer, with state-of-the-art architecture and technology. Dr. Ismail completed higher studies (DEA) in distributed systems at the Joseph Fourrier University (Grenoble I)/ENSIMAG Engineering School in France, and earned Ph.D. in distributed systems from Computer Engineering/Distributed Systems from the National Polytechnic Institute of Grenoble, France, in September 2000 with very honorable degree.
Dr. Ismail has a vast industrial and academic experience; at Sun Microsystems R&D Center, worked on the design and implementation of highly-available dist
Currently, Prof. Zhang's research interests include ultra-wideband (UWB) sensor networks for real-time target tracking and communications; biomedical imaging using ultra-wideband penetration; extraction of biometric signatures for forensic identification and multi-layer security architectures in next-generation wireless communication networks.