Yuriy Kyrychuk is the head of the Department of Automation and Non-Destructive Testing Systems (ANDTS) at the university, holding a Ph.D. in Technical Sciences and the position of associate professor. He has been working at the university since 1995 and has been leading the ANDTS department since July 1, 2021.

In 1999, he defended his candidate dissertation, and in 2016, he successfully defended his doctoral dissertation on the topic of "Automated Instrumentation and Information-Measuring System."

His scientific interests include modern systems for shock and vibration protection of navigation complexes for moving objects, robotic systems, bio-inspired robotics, and the Internet of Things.

Scientific, organizational, and public activities include:

• Secretary of the specialized council for the defense of doctoral and candidate dissertations;
• Deputy dean of the Faculty of Instrumentation Engineering for international cooperation;
• Responsible executor of research projects for the Ministry of Education and Science of Ukraine on the most relevant mainstream problems in science and technology.

He has authored more than 200 scientific works, including 4 monographs, 1 textbook, and 1 educational guide with the approval of the Ministry of Education and Science of Ukraine, as well as 2 guides approved by the Scientific Council of Igor Sikorsky Kyiv Polytechnic Institute.

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Teacher's page in the "Intellect" system

SCIENTIFIC WORKS:

Enhancing the Accuracy of the Stabilization Complex [Electronic resource]: Monograph / Bezvesilna O., Kyrychuk Yu., Tolochko T. - Electronic text data (1 file: 8.47 MB). - Karlsruhe, Germany, 2023. - 188 p.

Databases. Computer Workshop [Electronic resource]: educational manual for students of the specialty 151 "Automation and Computer-Integrated Technologies," educational-professional program "Computer-Integrated Systems and Technologies in Instrumentation" / L.P. Zgurovska, Yu.V. Kyrychuk, N.M. Nazarenko; Igor Sikorsky KPI. - Electronic text data (1 file: 1.52 MB). - Kyiv: Igor Sikorsky KPI, 2021. - 241 p.

Modeling the Influence of Disturbance Parameters on the Operation of a Two-Channel Piezoelectric Gravimeter
The impact of disturbing accelerations and intrinsic parameters of a two-channel piezo gravimeter on its operation was investigated using computer simulation. A mathematical model of the two-channel piezoelectric gravimeter was employed for this purpose. The simulation results were obtained and presented using a computer. The influence of external disturbances on the operation of the new two-channel piezogravimeter was modeled. External disturbances included the effect of frequencies and amplitudes of forced vibrations of the base (along longitudinal and transverse axes) on which the two-channel piezogravimeter is placed, as well as disturbing vibrational accelerations for the most unfavorable resonance cases: w = w0, w = 2w0, w = 3w0, 2w = w0, 3w = w0, where w0 is the frequency of the intrinsic oscillations of the two-channel piezogravimeter, and w is the disturbance frequency. The simulation results include graphs showing the change in the output signal for different values of disturbance frequencies of vibrational accelerations, damping coefficient, and various values of amplitudes of disturbing vibrational accelerations of the base. Each obtained result and graph were analyzed for the magnitude of the steady forced oscillations of the two-channel piezogravimeter, and conclusions were drawn regarding the presence or absence of resonance. Using the results of previous studies, a comparison was made between the analytical solution of the equations of motion of the two-channel piezoelectric gravimeter under the influence of external disturbances and the obtained results of digital simulation. The analysis of the simulation results showed that the root mean square deviation of the solutions does not exceed 0.009 mm and confirmed the adequacy of the mathematical model of the two-channel piezogravimeter. Thus, the obtained mathematical model of the two-channel piezogravimeter corresponds to the real device, and it can be applied for further research on the motion parameters of the two-channel piezogravimeter.
--/ O.M. Bezvesilna, Yu.V. Kyrychuk, and N.M. Nazarenko // Bulletin of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute". – 2021. – Issue 1. – P. 21–28.

Neural Networks in Research on the Navigation Complex Control System
Further improvement of the control systems of navigation complexes (NC CS) is possible by using algorithmic research methods, particularly by using neural networks. However, there are no ways to address this issue in the known literature [1-2]. Therefore, in this work, we will use neural networks to improve the accuracy of the NC CS LBM. A neural network is defined as a structure consisting of interconnected neurons.
--/ O. Bezvesilna, N. Nazarenko, Yu. Kyrychuk // Perspective Directions for the Development of Science and Practice. – 2020. – Vol. 20. – pp. 134-138.