Research Teams

Process modeling and optimization using numerical methods, artificial intelligence, and machine learning algorithms, design and implementation of computer and cyber-physical systems. Use of optimization methods to solve engineering problems. High-performance stochastic models for predicting microstructure of metallic materials and modeling electron and positron diffraction.

Research and development in the use of Industry 4.0 technologies in designing IT systems supporting manufacturing processes. Design and implementation of Digital Twins in industrial conditions, enabling real-time monitoring, analysis, and optimization. Design of advanced vision systems using Virtual Reality and Augmented Reality technologies.

Materials engineering, plastic processing of bioresorbable surgical wires from ZnMg and MgCa alloys, numerical models of plastic processing processes at both macro and micro scales. Improvement of biological and mechanical characteristics of ZnMg and MgCa alloys. Development of proprietary software based on the finite element method.

The research team conducts studies in the implementation of Industry 4.0 and 5.0 solutions. We specialize in computer-aided design, multi-scale modeling, and support systems based on IoT, VR, and AR technologies. We possess advanced equipment including computational servers with numerical simulation software, AI Odyssey A-Eye systems for industrial process analysis, blue light scanners, 3D printers, and robotic manufacturing stations. Our vision systems equipped with multispectral cameras enable defect identification in industrial conditions. We also maintain a microforming press aligned with Industry 5.0 concepts. Our solutions encompass reverse engineering, rapid prototyping, rheological and microstructural analyses, as well as VR/AR training systems.