During May 14-16, Applied Mathematics Department held annual (this year fourteenth) T. A. Taran International Scientific Conference “Intelligent Analysis of Information’2014” (IAI’2014).

The scientific conference “Intelligent Analysis of Information” is being held annually since 2001 with the joint efforts of specialists from Applied Mathematics Department, NTUU “KPI”, and Russian Association for Artificial Intelligence. In 2009, the conference was named after ScD, prof. Tetiana Arkhypivna Taran, an outstanding scientist in the field of artificial intelligence, founder and continuous (until 2007) scientific chair of the conference.

This year, scientists from Ukraine, Russia, and Belarus participated in the conference. They submitted about 40 theses. Conference participants included professors and ScDs (about 20%), and PhDs (35%). More than 40% of the participants were young scientists, graduate and undergraduate students. About 20% of all articles are the research work of young scientists.

A high scientific level of our university is exemplified by the fact that members of KPI staff authored more than 35% of submitted theses. Among 14 theses authored by the KPI staff, eight belong to the FoAM representatives. Lecturers and students of Applied Mathematics Department wrote six works among them. In addition, AMD alumni took part in the conference. They are currently doing their PhD research in various organizations.

The Program committee co-chair, the Chair of Applied Mathematics Department, O. A. Molchanov, opened the XIV International scientific conference “IAI’2014”. Before starting the main part of the conference, its participants paid homage to a prominent scientist, founder of the theory of growing pyramidal networks, member of the Program committee, prof. Viktor Polikarpovych Hladun. The first keynote talk was devoted to his contribution into the development of Ukrainian cybernetics. Other keynote speakers were prof. Y. R. Valkman (Kyiv) and prof. V. V. Golenkov (Minsk, Republic of Belarus).

Topics of the talks spanned such traditional fields as data mining, knowledge and reasoning representation, intelligent decision support methods. It is worth noting that specialists express even greater interest to these topics each year. This year, special attention was paid to research work connected with ontological engineering and network modeling. Many interesting applied works were presented.

The conference was held successfully, the sections were filled with natural professional discussions, and many interesting questions were raised. Young scientists, graduate and undergraduate students, could find out about novel world science achievements in the field of artificial intelligence systems, and broaden their scientific horizons.

AMD students and members of staff were officially thanked for organizing the IAI’2014 conference.