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Call for Direct submission of full chapters - Explainable Artificial Intelligence for Smart Cities, CRC Press, USA

The deadline is 31 January 2021.

Edited Book: Explainable Artificial Intelligence for Smart Cities

Will be published by CRC Press, Taylor & Francis Group


The objective of this book is to focus on Explainable Artificial Intelligence (XAI) in smart cities developments. Because recently designed advanced smart systems require intense use of complex computational solutions (i.e. Deep Learning, big IoT architectures), mechanisms of these systems become black-box to the users. Because black-box level means no clear clue about what is going within these systems, anxieties regarding ensuring trustworthy tools also rise. In recent years, the issue has tried to be solved with additional use of XAI methods to improve transparency level. This book will provide a timely, wide international reference source about cutting edge research efforts to ensure the XAI factor in smart city-oriented developments. The book welcomes both positive and negative outcomes as well as future insights and both societal and technical aspects of XAI based smart city research efforts.

Submission Guidelines

Authors are invited to submit their full chapter by January 31, 2021 Manuscripts submitted for the book must be original, must not be previously published or currently under review anywhere. Submitted manuscripts should respect the standard guidelines of the CRC Press chapter format.

Manuscripts must be prepared using Latex, or Word, and according to the CRC Press requirements. For more information about the Guidelines, please you can see the web site:

Chapter should contain between 15-25 pages.

Manuscripts that do not follow the formatting rules will be rejected without review. Prospective authors should send their manuscripts electronically through the easychair submission system as mentioned below:

  • NB: There are no submission or acceptance fees for manuscripts submitted to this book for publication. All manuscripts are to be accepted based on a double-blind peer review editorial process.

An all-in-one PDF file may be submitted for the initial version however, if the chapter is accepted, this formatting style must be followed and MS-Office file (doc, docx) must be supplied.

List of Topics (not limited to)

XAI for Smart Education

  • Machine learning for smart education
  • Deep learning for smart education
  • Evolutionary algorithms for smart education
  • Smart learning solutions for combating Covid-19

XAI for Smart Health

  • Machine learning for smart health
  • Deep learning for smart health
  • Evolutionary algorithms for smart health
  • Smart health solutions for combating Covid-19

XAI for Smart transportation

  • Machine learning for smart transportation
  • Deep learning for smart transportation
  • Evolutionary algorithms for smart transportation
  • Smart learning solutions for combating Covid-19

XAI for Smart Environment

  • Machine learning for smart environment
  • Deep learning for smart environment
  • Evolutionary algorithms for smart environment
  • Smart environment solutions for combating Covid-19

Cyber Security and XAI for Smart Cities

  • AI-based protocols and services for smart cities
  • IA-based communications Security
  • Security for Ubiquitous/Pervasive Computing
  • Big Data Analytics for Smart Cities Security
  • Machine Learning techniques for Cybersecurity and Privacy
  • Deep Learning techniques for Cybersecurity and Privacy


  • Mohamed Lahby, Hassan II, Casablanca University, Morocco
  • Utku Kose, Suleyman Demirel University, Isparta, Turkey
  • Akash Kumar Bhoi, Sikkim Manipal University, Sikkim, India

Important Dates

The book publication schedule is as follows:

  • Chapters Submission: January 31, 2021
  • Authors notification: March 28, 2021
  • Camera-ready submission: April 15, 2021
  • Tentative Publication Year: 2nd half of 2021


The accepted chapters will be published by CRC Press, Taylor & Francis Group and indexed in Scopus, Thomson reuters, EI, DBPL...


For further questions regarding the book, please contact Professor Mohamed Lahby at: