7 March 2020

Greetings to the student of the AI KNURE department, Ruban Egor – swimming competitions winner among universities, which took place in Kharkiv!

We wish inspiration and new victories !!!


How to have admission on Master’s Degree Program in Germany?

6 March 2020

How to have admission on Master’s Degree Program in Germany? A graduate of AI Department, and now, undergraduate student of Technical University of Munich, shares her experience

It is always pleasant when our graduates come to visit AI department, tell us about newest IT technologies, where and how they work or continue their studies at the magistracy at European universities. This time one of our best former students, Anya Makarevich, came to us (in almost all subjects she had the highest mark “A” − 100 points). After graduating from the bachelor’s program, Anya submitted documents for admission to the magistracy to several European universities and everywhere passed a competitive selection. However, she chose the Technical University of Munich (TUM) and get admission to master’s program “Data Engineering & Analytics”. TUM is one of the most prestigious universities in Germany. Studying there is free, in addition, Anya received a DAAD (German Academic Exchange Service) scholarship by submitting all the necessary documents and successfully passing an interview with German professors.

Anya told our students in detail about her experience in submitting documents to the TUM University Master’s program, about what pitfalls can be encountered in the process of preparing and submitting documents, how it is possible and realistic to receive a DAAD scholarship. And, of course, everyone was interested to listen about how the educational process is organized in the master’s program in Germany, what disciplines are studied in the framework of the master’s program, how practical classes are held, where and how students live. Anya willingly answered all the questions and said that she really wants to help our students in submitting documents for study at the master’s program of German universities. The meeting was productive and interesting, in  informal setting. In parting, Anya received a branded T-shirt NURE as a gift.

RICAS – Realtime intelligence crime analytics system

5 March 2020

RICAS is the unique intelligent system of criminal data analysis, which brings together in one view-space the most advanced techniques and methods of criminal analysis and analytical research in real-time, which can significantly improve the efficiency and effectiveness of crime detection in hot pursuit and previously unsolved crimes.

crime pattern analysis;
• general profile analysis;
• case analysis;
• comparative analysis;
• offender group analysis;
• specific profile analysis;
• the intelligence investigation analysis.

RICAS – Realtime intelligence crime analytics system

Presentation of the Diploma to Associate Professor of the AI Department Golovyanko M.V.

4 March 2020

On the March  the 4th, the head of Artificial Intelligence Department professor Filatov V.A. on behalf of the University’s leadership awarded the Diploma for the victory in the competition  “The Best Scientific and Pedagogical Worker of NURE-2019” to Associate Professor of AI Department Golovyanko M.V.

Maria Valentinovna recently returned from a long business trip abroad related to work in the International Project No. G5511 “Cybersecurity for Intelligent Systems”, as part of the NATO Science for Peace and Security  Programme (SPS). In this project M.V. Golovyanko represents the Artificial Intelligence Department of NURE.

Our congratulations to Maria Valentinovna and wishes  further creative success!


TCSET-2020 (Part 2)

2 March 2020

Greetings to Vadim Shergin, Associate professor, PhD (AI Department) successfully participated in the conference “TCSET-2020” with topic “Statistical Properties of the Hurst Exponent Estimates for Fractional Levy Motion. (by Associate professor, PhD, Vadim Shergin, Associate professor, PhD, Larysa Chala and Professor, Doctor of Science, Serhii Udovenko)



27 February 2020

Olexii Shatalov, student of the third year of study (AI Department) successfully participated in the conference “TCSET-2020” with topic “Formal and Logic Models of Knowledge and the Procedure for Logical Inference in the Problems of Recognition of Radio-emitting Objects and their States .

Link to conferences sources: tcset2020programv4

OECD opened a new opportunity for a knowledge engineering/science internship

17 February 2020

OECD opened a new opportunity for a knowledge engineering/science internship, attached herewith “Knowledge_Engineer_Scientist“. Interns at the OECD do not receive a salary. However, the OECD grants a contribution to living expenses of around 700 euros per calendar month. More information on OECD Internship Programme is also available on the frequently asked questions. Students may also be interested to know that an important share of our trainees who made their internship at the OECD in the past 10 years are still working with the Organisation.

Academic Response to Hybrid Threats

17 February 2020

January 27-28, 2020, in Brussels, representatives of the WARN (Erasmus+ KA2 CBHE) Academic Response to Hybrid Threats” project team participated in the Erasmus+ Grant Holders’ Meeting which was organized by the Executive Agency Education, Audiovisual and Culture (EACEA).

The WARN project was represented by the Grant Holder – Project Coordinator Prof. Timo Tihononen, University of Jyväskylä, Finland, and Ukrainian consortium manager Liudmyla Titova, NURE, AI Department.
The meeting was devoted to the rules of implementation of CBHE projects and the establishment of cooperation among projects and countries. The exchange of experience between the teams of Ukrainian projects was very extremely fruitful due to the efforts of the National Erasmus + office in Ukraine.


Master’s degree defense. Part 2

23 December 2019

Students of Master programme “Artificial Intelligence Systems” successfully defended their Master’s Theses in front of thesis committee headed by Professor, Doctor of Technical Science Anatoly Alekseevich Kargin.

All works were developed at the highest level and met all qualification characteristics of the specialty 122 Computer Science and Master degree programme “Artificial Intelligence Systems”.


Master’s degree defense

20 December 2019

Congratulations to our master’s graduate students in 2019!
The second day of defense, however, like the first, pleased the general high level of work and a variety of topics: neural networks for deep learning, image recognition, assorted scale-free networks in different veriations, recommendation systems, cognitive analysis and modeling, Natural Language Processing and Text Mining. …. It’s nice that the tradition of writing and defending diplomas in English goes on. Daisy Myers (Daria Gulko), well done!