Intelligent Data-Centric Systems: Sensor Collected Intelligence
Aim & scope
Intelligent Data-Centric Systems publishes the latest research findings and technological developments in the area of smart sensors and collected sensor data intelligence. Books in this series provide full coverage of leading computing paradigms and technologies, development applications, empirical studies, and future trends in the multi-disciplinary field comprising smart sensors, smart sensor networks, data analysis, and machine intelligence methods.
Topical coverage includes but is not limited to:
Smart Sensors Collective Intelligence
Ambient Intelligent Systems
Computing with Smart Devices
Cyber Physical Systems
IOT Systems and Mobile Computing
Massive Data Processing and Analysis
Social Sensing Data
Wireless Sensor Networks and Data Fusion Techniques
Data Analytics
Applications: Surveillance Tracking Systems, Disaster Management, Medical Systems, Transportation, Business Intelligence, Environmental Monitoring Systems, eLearning and Virtual Campuses, Smart Grids and Energy Efficiency Systems, etc.
Features:
Provides the latest information on significant research findings and developments in these fields
Provides coverage of research topics and development from various perspectives and needs
Offers timely coverage of emerging topics and discussion of future trends
New Volume Proposals:
Volumes can be Edited, Multi-Authored, or Authored Monographs
New volume proposals should:
Include a well-structured Table of Contents
Be innovative, including original features, and any overlaps with published titles in the IDCS Series should be explained
Include a list of confirmed or tentative, geographically distributed, authors (for Edited volumes)
Conference and workshop organizers are encouraged to present their book proposals, at the *post-conference* stage, including a complete list of chapter titles and authors. Chapters must be significantly expanded from original conference papers and meet the above criteria.
Ask the Series Editor or Publisher for a New Proposal Form, Guidelines for Book Preparation, and/or Sample Chapter Template
Indexing: All published volumes in this book series are submitted for indexing in:
Scopus
EI Indexing / Compendex
Book Citation Index
Audience
Graduate students, researchers, and professionals interested in the area of smart sensors and collected sensor data intelligence
Publish a book with Elsevier
Editors
FXP
Editorial Board Members
Prof. Şuayb Arslan, Brain and Cognitive Sciences, MIT, Cambridge, MA, USA
Area of Expertise: Neuroscience-inspired sensor design and intelligence, intelligent networks for sensor data dissemination; Collective and secure distributed computing for smart devices
Prof. Luiz Bittencourt, Institute of Computing, University of Campinas, Campinas, Brazil
Area of Expertise: Vehicular networks; Resource allocation and management; (Mobile) Edge/Cloud Computing; Digital Twins
Prof. Nhien An Le Khac, School of Computer Science, University College Dublin, Dublin, Ireland
Area of Expertise: AI Security; Cyber Forensics; IoT Security; Causal Inference in AI; Large-scale Data Analytics
Prof. Zakaria Maamar, College of Computing and Information Technology, University for Doha Science and Technology, Doha, Qatar
Area of Expertise: Cyber-physical social systems; Internet of (cognitive) things; Cloud/Edge/Ubiquitous computing; IoT and Data artifacts
Prof. Leonardo Mostarda, Division of Computer Science, University of Camerino, Camerino, Italy
Area of Expertise: Blockchain and IoT; IoT and Routing protocols; IoT and Cybersecurity; Iot and Middleware
Prof. Houbing Song, Security and Optimization for Networked Globe Laboratory, University of Maryland, Baltimore County (UMBC), Baltimore USA
Area of Expertise: AI/Machine Learning/Data Science; Cyber-Physical Systems/IoT; Cybersecurity and Privacy; Smart Cities
Prof. Jarrod Trevathan, Institute for Integrated and Intelligent Systems, Griffith University, Brisbane, Australia
Area of Expertise: AIoT (Artificial Intelligence of Things); Edge/Fog Computing; Home Automation/ Smart Cities; Sensor Networks for Environmental Monitoring