21.09.2022
The student of the Kharkiv National University of Radio Electronics Victoria Uvarova as a member of the Ukrainian national team won the second place at the CMAS

21.09.2022
The student of the Kharkiv National University of Radio Electronics Victoria Uvarova as a member of the Ukrainian national team won the second place at the CMAS

21.09.2022
As a part of implementation of the Internationalization Strategy the Kharkiv National University of Radio Electronics joined the program of support of Ukrainian universities during the war called Twinning

19.09.2022
On the fourth of August the results of the Ukrainian Programming Cup, which was held during June-August, were summed up. The main initiator and organizer of the Cup was the Department of Software Engineering of Kharkiv National University of Radio Electronics.

13.09.2022
Kharkiv National University of Radio Electronics is among the winners of the EU Erasmus+ program KA1 Virtual Exchanges in Higher Education and Youth – Erasmus+ Virtual Exchanges.
The 3-year project Development of Model and Common Information Space of Virtual Exchange Programs – MOVEx will bring together a team of 10 universities:
Politechnika Wroclawska
Charokopeio Panepistimio (Harokopio University of Athens )
Tallinna Tehnikaülikool (Tallinn University of Technology)
Ivan Franko National University of Lviv
Kryvorizkyj Nationalnyj Universytet
Kharkiv National University of Radio Electronics
Khmelnitsky National University
Sokhumi State University
Shota Rustaveli State University
Akaki Tsereteli State University. Project coordinator from NURE is O. Filipenko, Ph. D. in Technical Sciences, Professor, Dean of the ACT Faculty.
The objectives of virtual exchange projects are to encourage intercultural dialogue with partner countries through online interaction.
MOVEs is a project aimed at organizing an effective Virtual Exchange Program as a platform for professional and intercultural interaction, exchange of experiences, to provide high-quality educational services and create conditions for the development of cooperation and communication skills of young people and increase access to international learning for every student, regardless of their circumstances, which is especially important at a time when student mobility is limited.

12.09.2022
We continue the series of classes “Introduction to IT speciality 121 Software Engineering (Software Engineering)” in the direction of “The basics of Linux architecture” from the Software Engineering Department of Kharkiv National University of Radio Electronics. During the summer months (July-August) there were eight classes, in which the students had time to get acquainted with Linux and consider its architecture in practice on a separate server.

12.09.2022
The former head of the Department of Social Informatics at the Kharkiv National University of Radio Electronics, Doctor of Technical Sciences, Professor Kateryna Solovyeva passed away at the age of 73.

08.09.2022
NIX Solutions has started a new project to support future IT specialists.

06.09.2022

01.09.2022
Dear students and staff of the Kharkiv National University of Radio Electronics!
I congratulate all of you with the Day of Knowledge and the beginning of a new academic year. Those applicants who have chosen our university, and today are our first year students, undoubtedly, made the right choice!

30.08.2022
For many years the Department of Media Systems and Technologies of the Kharkiv National University of Radio Electronics cooperates with different international partners.

30.08.2022
On August 25 in Kharkiv National University of Radio Electronics a research round table was conducted on-line in the framework of the international project EPP-1-2019-1-UA-EPPJMO-MODULE 611988 Erasmus + Jean Monnet module « European Digital Single Market : Policy, Integration and Harmonization/EUDISIM”.

28.08.2022
Despite Russia’s full-blown aggression against Ukraine and the difficult situation, an article by scientists of Artificial Intelligence Department V. Tersiyan and M. Golovyanko “Hyper-flexible Convolutional Neural Networks based on Generalized Lehmer and Power Means” .