In Conjunction with the International Conference on Pattern Recognition (ICPR 2012) - November 11, 2012, Tsukuba International Congress Center, Tsukuba, Japan

We are pleased to announce the 5th International Workshop on Computational Forensics. The workshop will be the 5th in the sequel of four earlier workshops in Manchester (UK), Washington D.C. (USA), Hague (Netherlands), and Tokyo (Japan) respectively.
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Methods, Applications and Challenges in Computer-Assisted Criminal Investigations

Forensic and criminal analysis is becoming increasingly data intensive and widely distributed. Especially for electronic data it is common practice to seize all data carriers that are believed to contain relevant evidence material. For example, in criminal cases against large companies, intelligence work on money laundering and terror finance, the content of all servers, personal computers, mobile phones, PDAs, printers, copiers, backups and so on are collected. All these relevant devices and their digital content have to be dealt with together with truckloads of paper documents and data from other sources. It all amounts to many terabytes of data. In addition, crime investigators and intelligence analysts urgently demand the possibility to enrich the collected evidence with information from other/open sources, e.g., data available on the Internet.

This year the workshop will emphasize challenges in applying pattern recognition and artificial intelligence methodologies to digital evidence in mobile devices and distributed, networked computing, i.e., cloud environments.

Though the workshop will also address a broad spectrum of forensic disciplines like pathology, biology, drugs, ballistics, etc., those apply computational methods as statistical pattern recognition, modeling and simulation.

Topics of Interest

The topics of interest for submission include, but are not limited to:

Algorithms
Filtering, Image and Data Representation, Image Registration, Super resolution, Feature Extraction, Data Mining, Search Techniques, Machine Learning and Statistical Data Analysis, Fuzzy Logic, Evolutionary Algorithms, Fusion and Ensemble Learning.

Applications
Application Forensics, Anthropology, Ballistics, Biology, Cloud & Digital Forensics, Fiber Analysis, Fire Debris, Incidence Response, Media Forensics, Pathology, Physiological and Behavioral Patterns, Prints, Questioned Documents, Tire Impressions, Tool marks, Trace, Shoeprints, Vehicles.