Intelligent Data-Centric Systems: Sensor Collected Intelligence

Aim & scope

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

• Information for Authors

• Propose a book opens in new tab/window

• Contact an Acquisitions Editor

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

Series Volumes

• Pervasive Computing

• Smart Sensors Networks

• Adaptive Mobile Computing

• Security and Resilience in Intelligent Data-Centric Systems and Communication Networks

• Intelligent Data Sensing and Processing for Health and Well-being Applications

• Geographical and Fingerprinting Data for Positioning and Navigation Systems