Call for Volume Chapters

in Series

“Advances on Learning, Analytics and Intelligent Computing Systems”

published by Springer

Volume Title:

“Modelling, Computing and Data Handling Methodologies for Maritime Transportation”



Maritime transportation is the major conduit of international trade. In terms of cost, maritime transport is very competitive against land and airborne transport, increasing only by a few percent the total product cost. On the other hand, maritime transportation takes longer or may cause harbor congestion which further increase the voyage time. Furthermore, there are difficulties in integrating this transportation mode efficiently with other transport or distribution options. On top of that, the safety and the environmental impact of maritime transportation, in particular, in the case of sea accidents, are always two challenging issues.


As recent advances on maritime transportation require the synergy of both computer science and maritime science, the main focus in this edited volume will be upon the latest developments on IT methodologies for maritime transportation. Computational intelligence, data mining and knowledge discovery/representation, risk assessment methodologies as well as combinatorial optimization are the IT fields that have gain importance in maritime studies because of their potential in giving solutions for effective sea transportation.


Book chapters on timely topics, state-of-the-art reviews providing a comprehensive survey and evaluation of a subject area are welcomed for submission. The main emphasis should be on the presentation of research aiming for more effective and safer sea transportation, targeting complex and large-scale optimization problems with conflicting criteria, requiring innovative solution techniques and ideas from mathematical optimization, theoretical computer science, massive data analysis and operations research. Specifically, topics of interest include, but are not limited to:


  • Graph and Network algorithms  for Maritime Transportation
  • Combinatorial optimization techniques for Maritime Transportation
  • Environmentally Safe Shipping
  • Safety and Security of  Maritime Shipping
  • GIS in Maritime Applications
  • Spatiotemporal and Maritime Data Handling
  • Route Planning and Monitoring
  • Piracy Protection
  • Risk Analysis, Assessment and Prediction
  • Maritime Data Mining and Knowledge Discovery Applications: surveillance, maritime traffic control, anomaly detection, emergency management, situation recognition, etc.
  • Decision Support Tools for Maritime Transportation
  • Integration of Heterogeneous Maritime Data Sources

Submission Information

The volume will be published by Springer in Series   “Advances on Learning, Analytics and Intelligent Computing Systems”.  First a chapter proposal of 1500 words should be submitted for evaluation. Upon proposal acceptance, the authors will be called to submit the full manuscript before a certain deadline. Then, the submissions will be double-blind reviewed for deciding the chapters that will be included in the volume.

Important dates

Submission of chapter proposals: December 11, 2015

Notification for proposal acceptance: January 11, 2016

Submission of full chapters: April 11, 2016

Notification for chapter acceptance: May 31, 2016

Submission of the camera-ready chapters: July 1, 2016


Volume Editors

Dr. Charalampos Konstantopoulos

Department of Informatics

University of Piraeus


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Prof. Grammati Pantziou

Department of Informatics

Technological Institution of Athens


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