PhD Students
Nataliia Fomenko
Research project: Computational modeling in predicting the biomechanical behavior of human blood vessels.
Year of admission: 2022
Academic advisor: Prof. Oleksiy Larin
Valeriia Rzkova
Research project: Modeling the strength and reliability of aerogel structures based on two-level models.
Year of admission: 2022
Academic advisor: Assoc. Prof. Oleksii Vodka
Danylo Krasii
Research project: Predicting the residual life of structural elements using machine learning methods
Year of admission: 2022
Academic advisor: Prof. Oleksiy Larin
Ruslan Babudzhan
Research project: The development of generative models for the analysis of a stress-strain state of heterogeneous materials using physical-informated neural networks
Year of admission: 2022
Academic advisor: Assoc. Prof. Oleksii Vodka
Olha Sukhanova
Research project: Analysis of laminated glass structures under dynamic impact loading.
Year of admission: 2020
Academic advisor: Prof. Oleksiy Larin
Sergey Pogrebnyak
Research project: Development of artificial intelligence methods for predicting the properties, behavior and limit state of heterogeneous materials.
Year of admission: 2020
Academic advisor: Prof. Gennadii Lvov, Assoc. Prof. Oleksii Vodka
Yevhen Nemanezhyn
Research project: Development of methods for calculating the high-temperature strength of gas turbine blades under static and dynamic loading.
Year of admission: 2021
Academic advisor: Prof. Gennadii Lvov, Prof. Yurii Torba
Prykhodko Nazar
Research project: Development of mathematical models for predicting the resource of pipeline systems taking into account corrosion-erosive wear.
Year of admission: 2023
Academic advisor: Assoc. Prof. Oleksandr Trubaiev
Dmytro Bondar
Research project: Development of models and information technology for improving the processes of manufacturing machine elements using ensemble machine learning methods.
Year of admission: 2023
Academic advisor: Prof. Yevheniia Basova
Barbin Kostiantyn
Research project: Mathematical modeling of elastic-plastic deformation of technological systems under the impact of an electromagnetic field.
Year of admission: 2024
Academic advisor: Prof. Denys Lavinskyi
Vladyslav Zhykhariev
Research project: Development of intelligent models for assessing the stress and boundary states of composite materials with internal defects.
Year of admission: 2024
Academic advisor: Assoc. Prof. Serhii Misiura
Dmytro Sharanov
Research project: Predicting the reliability of hydro turbine equipment elements based on machine learning methods.
Year of admission: 2024
Academic advisor: Assoc. Prof. Oleksandr Trubaiev
Oleksandr Kalianov
Research project: Mathematical and computer modeling of the behavior of vibration-isolating support elements of quasi-zero stiffness from beam and shell structures.
Year of admission: 2024
Academic advisor: Prof. Gennadii Martynenko
Mykhailo Kuchma
Research project: Modeling of nonlinear dynamics of rotors taking into account magnetic bearings on the basis of finite element and intellectual analyzes.
Year of admission: 2021
Academic advisor: Prof. Gennadii Martynenko
Onatskyi Roman
Research project: Mathematical modeling of stress-strain state and residual life of shells in the dent zone using artificial intelligence methods.
Year of admission: 2024
Academic advisor: Assoc. Prof. Serhii Misiura
Lavshchenko Ruslan
Research project: Development of a data-driven approach for predicting the physical characteristics of composite materials.
Year of admission: 2022
Academic advisor: Prof. Gennadii Lvov
Shakalo Ruslan
Research project: Establishment of mechanisms of vibratons of turbine blade rim with pair-shrouded blades.
Year of admission: 2022
Academic advisor: Prof. Oleksiy Larin
Dmytro Moiseienko
Research project: Numerical simulation of quasi-static and dynamic behavior of combined elements of vibration damping and vibration isolation at various structural parameters with automation of their rational selection.
Year of admission: 2024
Academic advisor: Prof. Gennadii Martynenko