Intelligent Analysis of Information’2016

On May 18–20, Applied Mathematics Department hosted T. A. Taran International Scientific Conference “Intelligent Analysis of Information’2016.”

This year’s conference continued a fine tradition of meeting in Kyiv for scientific seminars (later — conferences) devoted to discussing novel achievements in data mining, cognitive semiotics, ontology engineering, network modeling, and other fields.

Forty-six theses were submitted to the conference. This year’s participants came from such countries as Ukraine (Kyiv, Kharkiv, Odessa, Pokrovsk, Khmelnytsky, Lviv), Russia (Moscow, Samara, Orel; 4 theses), Belarus (Minsk, Gomel; 2 theses), and Bulgaria (Sofia; 1 thesis). Researchers from our university submitted 17 theses, 6 of them by AMD representatives, 2 of them by members of other FoAM departments. A pleasant observation is that 15 theses were submitted by young researchers, 8 of which without co-authors.

The Program committee co-chair, Head of the Applied Mathematics Department O. Chertov opened the conference. In his opening remarks, he expressed genuine satisfaction that in such dark times that Ukraine undergoes, it is possible to find common ground between intellectual elites of Ukraine and Russia regardless of political differences. As E. M. Remarque neatly pointed out, “In dark times, light people are well-noticeable.” Without a doubt, all IAI participants are light people by virtue of their personalities.

During the conference, talks were given that shed light on topical achievements of scientific groups of O. Kuznetsov (Russia), Yu. Valkman, V. Golenkov (Belarus), D. Lande, A. Snarskii, E. Ivohin.

On the first conference day, a panel discussion took place. Its participants agreed that recent trends clearly show ever-increasing interest for research in the fields of data science and machine learning. No wonder that Applied Mathematics Department opens in 2016 a new major for its Master program called “Data Science and Mathematical Modeling,” and one of the new subjects to be taught is “Machine Learning.”

As always, the conference proceeded in the atmosphere of friendly communication and lively discussion of presented research results. Young people, who participated in the conference as speakers and as organizers, were able to learn about novel research achievements and get familiar with the process of organizing high-quality scientific conferences.

In his closing remarks, the Program committee co-chair, Head of the Scientific Council of the Russian Association for Artificial Intelligence O. Kuznetsov emphasized that the intimate circle of permanent conference participants facilitates communication in natural atmosphere. Each talk presented gets a fair share of attention, and discussion remains at high scientific level.

Organizing committee hopes that the honorable tradition of friendly meetings for discussing topical problems in the field of intelligent analysis of information will persist.