[Opt-Net] Call for chapters - Springer Volume - "Modelling, Computing and Data Handling Methodologies for Maritime Transportation"

[Charalampos Konstantopoulos]

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"

 

Purpose

 

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 sent to Volume Editors 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

Greece

email:konstant at unipi.gr

 

Prof. Grammati Pantziou

Department of Informatics

Technological Institution of Athens

Greece

email:pantziou at teiath.gr

 

 

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