[Opt-Net] CFP (MCDMT 2017)- 3rd Workshop on Modeling, Computing and Data Handling for Marine Transportation (in conjuction with IISA 2017)

Charalampos Konstantopoulos konstant at unipi.gr
Thu Mar 16 16:51:13 CET 2017


Call for Papers

3rd Workshop on Modeling, Computing and Data Handling for Marine
Transportation (MCDMT 2017), August 28, 2017, Larnaka, Cyprus

in association with the

8th International Conference on Information, Intelligence, Systems and
Applications  ( IISA 2017 )

(http://iisa2017.unipi.gr/)

Workshop Chairs: Charalampos Konstantopoulos (University of Piraeus,
Greece),  Grammati Pantziou (Technological Educational Institute (T.E.I.) of
Athens, Greece)
 
The Workshop on Modeling, Computing and Data Handling for Marine
Transportation (MCDMT 2017) is going to take place in Larnaka, Cyprus, on
August 28, 2017, in conjunction with the 8th International Conference on
Information, Intelligence, Systems and Applications (IISA 2017). Nowadays,
advancements on Marine Transportation require the synergy of both computer
science and maritime science and the technical focus of the workshop is upon
the latest developments on Computing Methodologies for Marine
Transportation.

Papers with novel theoretical as well as applied research are welcome for
submission.  We would like to invite papers addressing research efforts that
aim at making sea transportation more effective and safer, 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.

Submissions are solicited in, but not limited to, the following areas:

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


Important Dates

Paper Submission Deadline: April 24, 2017 
Paper Acceptance Notification: May 29, 2017 

Camera Ready Papers:  June 12, 2017


Workshop Program Committee

Eleni Charou, National Center for Scientific Research "Dimokritos", Greece
Marco Cococcioni, University of Pisa, Italy
Floris Goerlandt, Aalto University, Finland
Shahin Gelareh, University of Portsmouth, UK
Ignacy Kaliszewski, Systems Research Institute, Polish Academy of Sciences,
Poland
Rahimeh Neamatian Monemi, University of Southampton, UK
Zoe Nivolianitou, National Center for Scientific Research "Dimokritos",
Greece
Stavros Perantonis, National Center for Scientific Research "Dimokritos",
Greece
Carlos Guedes Soares, Universidade de Lisboa, Portugal
Joanna Szlapczynska, Gdynia Maritime University, Poland
Jin Wang, Liverpool John Moores University, UK
Zaili Yang, Liverpool John Moores University, UK

Instructions for Authors

Submitted papers should include original work not previously published or
being under consideration in any journal, conference or other workshop.
Papers must be limited to 6 pages in length. They should be submitted as a
pdf file and follow the IEEE CPS format, according to the general
Instructions for Authors of IISA 2017. See the IISA2017 Instructions for
Authors page for appropriate templates for both Latex and MS Word. Papers
for MCDMT 2017 should be submitted through the general IISA2016 paper
submission system (EasyChair).

Accepted papers will be published in the IEEE Proceedings of IISA 2017 and
will be included in the IEEE Xplore digital library (IEL,
http://ieeexplore.ieee.org). Authors of accepted papers must guarantee that
their paper will be presented at the workshop.




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