Call for Abstracts for the first international workshop on Maritime Anomaly Detection (MAD 2011).

*** May 29, 2011: Abstract submission ***
June 3, 2011: Acceptance announcement
June 10, 2011: Registration deadline
June 17, 2011: Workshop

Submissions are solicited for the first international workshop on Maritime Anomaly Detection (MAD 2011), an interdisciplinary workshop on all aspects of anomaly detection in the maritime domain. The workshop will be held on Friday June 17 in Tilburg, The Netherlands and will be organized by the Tilburg center for Cognition and Communication (TiCC) in cooperation with the Research School for Information and Knowledge Systems (SIKS).

You may visit http://mad.uvt.nl for the latest information.

* Overview

The field of maritime anomaly detection encompasses the detection of suspicious or abnormal vessel behavior in potentially very large datasets or data streams (e.g., radar and AIS data streams). To support operators in the detection of anomalies, methods from machine learning, data mining, statistics, and knowledge representation may be used. The scientific study of anomaly detection brings together researchers in computer science, artificial intelligence, and cognitive science. For the maritime domain, anomaly detection plays a crucial role in supporting maritime surveillance and in enhancing situation awareness. Typical applications include the prediction of collisions, the detection of vessel traffic violations, and the assessment of potential threats.

The goal of MAD 2011 is to bring together researchers from academia and industry in a stimulating discussion of state-of-the-art algorithms for maritime anomaly detection and future directions of research and development. The workshop program includes invited talks, contributed talks, and posters. Contributed talks and posters will be selected on the basis of quality and originality. Accepted abstracts will be published in the MAD workshop proceedings.

* Topics

Topics of interests include, but are not limited to:

- Anomaly, Outlier, and Novelty Detection
- Machine Learning / Pattern Recognition / Data Mining
- (Online) Active Learning / Human-in-the-Loop Approaches
- Feature Selection / Metric learning
- (Dis)similarity measures / kernels for vessel trajectories
- Generating artificial anomalous vessel trajectories
- Incorporating / Representing / Visualizing Maritime Domain Knowledge

We welcome contributions in the form of case studies and contributions concerning anomaly detection in other domains that may be of relevance to the maritime domain.

* Submission

Electronic submission of abstracts is required. Abstracts may be up to 2 pages in length, including references. Formatting and submission instructions are available on the workshop website at http://mad.uvt.nl/submission/. The deadline for abstract submissions is: Friday May 29, 2011, 23:59 UTC.

All accepted abstracts will be presented at the workshop either as contributed talks or as posters, and will be published in the MAD workshop proceedings. Papers for talks and posters will be treated equally in publication.

We are requesting a special issue in a relevant journal on the subject of Maritime Anomaly Detection. We intend to publish a selection of the submitted abstracts as extended papers.

* Invited Speakers

- David Aha (U.S. Naval Research Laboratory, Navy Center for Applied Research in Artificial Intelligence)
- Maurice Glandrup (Thales Naval Netherlands, Above Water Systems)

* Organizing Committee

- Jeroen Janssens (Tilburg University)
- Eric Postma (Tilburg University)
- Johanna Hellemons (Tilburg University)

* Contact

Email: mad@uvt.nl