Yuri Parzhin

Guarantor of the educational and professional program “Computer Science“

Head of the student scientific group “Artificial intelligence and machine learning“

Founder and head of the scientific direction “Development of non-connection models of artificial neural networks, methods of their construction and training“

Professional and academic experience

• 2023 – present time – professor of the Department of System Analysis and Information and Analytical Technologies of the National Technical University “Kharkiv Polytechnic Institute”
• 2020–2023 – Head of the Department of Informatics and Intellectual Property of the National Technical University “Kharkiv Polytechnic Institute”
• 2015–2020 – Director of the Interdisciplinary Institute of Postgraduate Education of the National Technical University “Kharkiv Polytechnic Institute”
• 2006–2015 – Deputy Director for Scientific and Pedagogical Work of the Interdisciplinary Institute of Postgraduate Education of the National Technical University “Kharkiv Polytechnic Institute”
• 1982–2005 – Service in the Armed Forces of the USSR and Ukraine

Education

• Doctor of Technical Sciences in the specialty 05.13.05 – “Computer systems and components” – 2018. National Technical University “Kharkiv Polytechnic Institute”
• Completion of an international internship at the University “Higher School of Management of Information Systems” (Informācijas sistēmu menedžmenta haugskola (ISMA) under the program: “Computer systems and networks in the learning process” – 2020, Riga, Latvia
• Advanced qualifications at the course “INTRODUCTION TO PYTHON PROGRAMMING FOR BIG DATA AND DATA SCIENCE” – 2023, Grid Dynamics company
• Candidate of technical sciences with specialty 20.02.12 – “Military cybernetics, control and communication systems” – 1997 Kharkiv Military University
• Electronic engineering engineer, majoring in electronic computing – 1982, Kharkiv Higher Military Command and Engineering School

Scientific interests

• Artificial intelligence
• Neurocomputing
• Artificial neural networks
• Machine learning
• Modeling reasoning
• Natural language processing

Teaching academic subjects

• Basics artificial intelligence
• Artificial neural networks
• Engineering of deep learning

Professional achievements and membership

• Scientific supervisor of three candidates of technical sciences
• Member of two specialized academic councils at NTU “KhPI”: D 64.050.14 and D 64.050.20 of the National Technical University “Kharkiv Polytechnic Institute”
• 2023 – confirmation of your international academic qualification from the organization World Education Services (WES).
• 2023 – received a certificate from the Kharkiv IT cluster in the discipline “Artificial Neural Networks”
• 2009–2020 – participation in the NATO-Ukraine program for retraining and social adaptation of former military personnel
• Participation in the Erasmus+ Project “Digital competence framework for Ukrainian teachers and other citizens” (“dComFra(598236-EPP-1-2018-1-LT-EPPKA2-CBHE-SP)”. Order of NTU “KhPI” No. 2346 C dated 13.11.2018 (clause 3)

Published works

Textbooks, study guides, monographs

• Sobol M.O., Lyubchenko N.Yu, Parzhin Yu.V., Pugachev R.V. Basics of C/C++ programming in examples. Part 2. Educational method. manual. – Kharkiv: NTU “KhPI”, 2022. – 200 p.
• Sobol M.O., Lyubchenko N.Yu, Parzhin Yu.V., Pugachev R.V. Basics of C/C++ programming in examples. Part 1. Educational method. manual.– Kharkiv: NTU “KhPI”, 2021. – 120 p.
• Malyeyeva O., Kosenko V., Parzhyn Y., Nevliudova V. Statistical Analysis and Optimization of Telecommunications Company Operating Business Processes. Lecture Notes on Data Engineering and Communications Technologies, vol 69. Springer, Cham. 2021, P. 407-431.
• Parzhin Y., Rohovyi A., Nevliudova V. Detector artificial neural network. Neurobiological rationale. Information systems and innovative technologies in project and program management. Collective monograph edited by L. Linde, I. Chumachenko, V. Timofeyev. ISMA University of Applied Science. Riga (Latvia). 2019. – 349 p. (PP. 331-339).

Papers

• Y.V. Parzhin, E.E. Malokhvii, G.I. Molchanov. Study of data transmission protocols in the conditions of the Internet of Things. Management, navigation and communication systems. Poltava: Poltava Polytechnic National University, 2022. Issue 1(67). P. 79-82.
• Yuri Parzhin, Viktor Kosenko, Andrii Podorozhniak, Olga Malyeyeva, Volodymyr Timofeyev. Detector neural network vs connectionist ANNs. Elsevier, Neurocomputing Vol. 414 (2020), November 13, 2020, p. 191–203.
• Parzhin Yu.V., Soloschuk M.M., Lyubchenko N.Yu. Analysis of information in neuromorphic information models of neurons. Bulletin of the National Technical University “KhPI”. System analysis, management and information technologies series. No. 2. 2019. – Kharkiv. NTU “Khpi”. P. 55-62.
• Parzhin Yu.V., Kravchenko V.I., Knyazev V.V., Serkov O.A. Automation of the process of monitoring and analysis of the external electromagnetic environment based on the use of a detector artificial neural network. Management systems. navigation and communication. Collection of scientific works. Poltava National University named after Yuriy Kondratyuk. Issue 5(45), 2017. P. 95-99.
• Parzhyn Yu.V. The detector principle of constructing artificial neural networks as an alternative to the connectionist paradigm. Control, navigation and communication systems. Collection of scientific works. Poltava National University named after Yuriy Kondratyuk. Issue 4(44) 2017. P 80-101