The “Dissertation Abstracts” section of the KI journal aims at making readers aware of recently completed theses (doctoral dissertation or professorial dissertation/habilitation) covering core AI and related topics. In this section, we publish extended abstracts of completed and accepted theses, written by the thesis author, and normally the author alone. In the case of a doctoral dissertation, the thesis needs to have passed with a grade of at least 1 or A (“magna cum laude”).

Papers in this section should be written in English, as the goal of this section is to improve visibility. The general author instructions for the KI journal according to Springer Verlag apply in terms of manuscript format and submission procedure. A submission should not exceed four pages in the KI layout, including images, references, and author’s vita. It must be self-sufficient (being able to stand on its own as a paper), referring to the full thesis for all technical details. (The bibliography has to include a reference to the thesis; please include the URL if an online version is available.) The paper should summarize the main questions of the thesis and discuss the fundamental results rather than expanding on formal or implementation details. It should, moreover, explain the relevance of the results for further theoretical and/or practical work. Since this paper is an extended abstract, section levels should not exceed one, and the bibliography should be restricted to include only the most relevant literature (chiefly including the complete thesis).

Papers submitted for this section will be reviewed. The review will be less concerned with the scientific or technical merit of the work since the thesis will have been graded as very good or even excellent, and given that the paper is meant to be an extended abstract. Instead, the review will consider the text quality based on the criteria stated above and with respect to the journal’s readership.


For questions, please consult the managing editor for this section of the KI journal:

PD. Dr.-Ing. habil. Anni-Yasmin Turhan, Dresden University of Technology