PhD supervisor
of the department of Mathematical modeling and intelligent computing in engineering (MME)

Professor, Doctor of Engineering Sciences, Academician, Acad. of the National Academy of Science of Ukraine

F1 Applied Mathematics

Research focus: Mathematical methods for modeling nonlinear problems (plasticity, creep) in the analysis of dynamics and strength of structural elements.

G8 Materials Science

Research focus: Computer-based methods for modeling strength and thermal conductivity of composite materials.

Professor, Doctor of Technical Sciences.
Corresponding Member of the National Academy of Sciences of Ukraine (Mechanics).

F1 Applied Mathematics

Research focus:

  1. Computational Biomechanics for Predictive Medicine
    Development of mathematical models of biological tissues and systems; implementation of physics-informed machine learning methods for diagnostics, biomechanical computer simulation, and prediction of the state of biological systems.

  2. Stochastic Modeling and Reliability Theory
    Study of complex systems operating under uncertainty: modeling of random degradation processes, evaluation of probabilistic reliability indicators, and development of algorithms for predicting remaining useful life.

Professor, Doctor of Engineering Sciences, Academician of the Engineering Academy of Ukraine

F1 Applied Mathematics

Research focus: Computer simulation and analysis of quasi-static and dynamic processes in mechatronic and vibration isolation systems based on mathematical modeling, numerical methods, and artificial intelligence techniques

Head of the department, Associate Professor, Ph.D in Technical Science

F1 Applied Mathematics

Research focus: Mathematical modeling of the properties of polycrystalline, composite, bio-, and smart materials. Development of AI/ML methods for predicting material properties.

F3 Computer Science

Research focus: Development of physics-informed neural networks, data-driven models, software, and information systems for predicting the mechanical behavior of materials.

Associate Professor, Ph.D in Technical Science

F1 Applied Mathematics

Research focus: Modeling of the stress–strain state, vibrations, and service life of mechanical systems based on numerical methods and artificial intelligence techniques.

Associate Professor, Ph.D in Technical Science

F1 Applied Mathematics

Research focus: Mathematical modeling of the evolution of damage and fracture of materials (long-term and fatigue strength).

Associate Professor, Ph.D in Technical Science

F1 Applied Mathematics

Research focus: Mathematical modeling of vibrations and the stress–strain state of complex technical systems using numerical methods. Development of methods for optimal design and intelligent damage analysis in the regions of local defects based on AI/ML approaches.

F3 Computer Science

Research focus: Development of information systems and physics-informed machine learning models for stress–strain analysis and prediction of the residual service life of structures in defect zones.

Associate Professor, Ph.D in Technical Science

F1 Applied Mathematics

Research focus: Mathematical modeling of the stress–strain state, vibrations, and damage evolution of structures. Development of numerical and statistical methods for assessing the reliability and durability of elements with local defects.

F3 Computer Science

Research focus: Development of intelligent algorithms and information systems for analyzing the mechanical behavior of materials and structures. Application of artificial intelligence and machine learning methods, including physics-informed models.

G8 Materials Science

Research focus: Investigation of the structure and mechanical properties of advanced materials, including functionally graded and composite materials.