Call for Papers

Conference organization and goals

The aim of this PhD Workshop is to bring together young people (under 35) working in the field of process control, supervision and information technology. Emphasis is placed on the exchange of ideas, results, experience and opinions.

As engineering topics are beoming ever more diverse, it is sometimes hard for young researchers with little experience to completely comprehense the content of the paper. This years conference will try to make a step forward in trying to overcome that. We will offer young researchers a chance to present not only the narrow topic of their work, but also the background theory. This is aimed at the audience, which will be able to understand and appreciate your work on a higher level and also for authors who will have to prepare themselfs to give a lecture to broader type of audience The procedure is as follows:

• you have to submit an abstract before 14. July 2008,
• programme committe will group the submissions into clusters who deal with similar topics.
• you will be informed in which section your paper will be presented.
• before 1. September 2008 you have to submit your full paper.
• before 15. September you will recive reviewers comments on your work and will heve to submit the
  corrected version in due time in order to have it published in conference proceedings as full paper.
• and in the meantime, you will be contacted by the chair of your section whit whom you will
  organise the presentation of your field of work.

Before you get scared and think something in the lines of "this is just some extra work I wont bother with...", let us ensure you that your effort will be repayed both in academic aswell as social way!

Topics

The Workshop will include several plenary lectures and many sessions of contributed papers organised according to the topic. Topics of interest include, but are not limited to:

• control (traditional, intelligent, adaptive, etc.)
• process monitoring and supervision
• system identification and signal processing
• modelling of complex systems (classical, hierarchical, Bayesian, fuzzy, networks)
• image processing
• pattern recognition
• artificial intelligence
• software issues (parallel computing, distributed and network computing, data visualization)
• decision making (decision support, data mining)
• real-life applications

Presentations of theory, algorithms, implementations and applications are welcome.