Continuation of the International Program of EVV – European Virtual Venture

11 March 2020

On March the 4th, French-Ukrainian students virtual programme “European Virtual Venture” for the academic year 2019-2020 successfully started. Well-prepared and highly motivated students of AI Department are traditionally selected to represent Kharkiv National University of Radioelectronics in the programme. From the French side it is the Higher School of Engineering (ECAM-EPMI Graduate School of Engineering) from Cergy that take part in the programme.

A course of the joint trainings on business development (ICT startups creation) for Ukrainian and French students are held in the virtual environment by means of video conferencing and e-learning management. For two months the students will develop business plans and learn how to launch international startups based on innovative ideas in the fields of Artificial Intelligence, IoT, Industry 4.0, etc. A team of French and Ukrainian academic and industrial experts will guide them through the process.

The first video-session was brightened by the participation of Dr. Mariia Gavriushenko from Finnish University of Jyväskylä, a successful project manager, who paid a visit to her first alma-mater. As a NURE student Mariia was once also a member of the EVV programme and can witness its positive influence on the students` professional and personal development. Mariia made a brief presentation about her EVV experience, study and life in Finland and wished everyone to succeed in the project development.

Mariia Gavriushenko graduated from the AI Department of NURE in 2011, won the competitive selection for admission to the master programme of University of Jyväskylä, then continued her studies as a PhD student, in 2017 successfully defended her PhD-thesis under the supervision of Dr. Olexii Khrienko. Now she works as a project manager and a researcher in the COLD-project in the field of AI in University of Jyväskylä.

 

Congratulations!!!

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  https://ricas.org/uk/

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)

 

TCSET-2020

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.

http://erasmusplus.org.ua/novyny/2805-zustrichnatsionalnikhofisivprogramierazmuszproektnimikomandamiperemozhtsyami-5-konkursuerazmuscbhe-27-28-01-2020-mbryusselbelgiya.html

 

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”.