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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.

Sample cover of Intelligent Data Centric Systems: Sensor Collected Intelligence

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.


  • 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


Graduate students, researchers, and professionals interested in the area of smart sensors and collected sensor data intelligence


Image of Fatos Xhafa


Fatos Xhafa, Ph.D

Universitat Politècnica de Catalunya

Read more about Fatos Xhafa, Ph.D

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