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/
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!
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
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.
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.
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!
15 December 2019
The Ministry of Education and Science together with 11 Ukrainian and European universities will work on a project on countering hybrid threats. Its results will be used further for degree programs and teacher training.
This was discussed during the kick-off meeting of the “Academic Response to Hybrid Threat (WARN)” project which should be implemented within the framework of the European Union Erasmus+ Program “Capacity Building in the field of Higher Education”.
7 Ukrainian universities will work on the project implementation:
Kharkiv National University of Radio Electronics;
Ukrainian Catholic University;
State University of Infrastructure and Technology;
National University Ostroh Academy;
National Academy of Managerial Staff of Culture and Arts;
Kharkiv Regional Institute of Public Administration;
Gorlovka Institute of Foreign Languages of Donbass State Pedagogical University.
Consortium members from European partners consists of:
University of Jyväskylä;
French Graduate School of Electrical Engineering;
Together the project partners will develop a secure civic environment in Ukraine.
In addition, the project should implement interdisciplinary and short-term certified educational programs aimed at countering hybrid threats, establishing expert infrastructure for interdisciplinary research and research-oriented education. It is envisaged that information security training modules will be built with the use of preventive learning technologies used in the artificial intelligence systems of European Union countries.
The project duration is 2019-2022.
6 December 2019
December, 6, under the auspices of NewNous Data Science Lab, at a seminar in Science Park “Synergy”, head of Artificial Intelligence Department Professor Valentin Filatov gave a lecture on topic: “Data Models and Knowledge of Intelligent Information Systems” and associate professor of Artificial Intelligence Department, head of department information and analytical support, State Department of National Police in Kharkiv region, Dmitry Uzlov gave a lecture on topic: “RICAS – Realtime intelligence crime analytics system”.
The workshop was supported by Kharkiv ACM Chapter.