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- dynamic processes modeling and simulation,
- dynamic systems and complex systems identification,
- stochastic modeling in complex physical processes and networks,
- forecasting with the use of neural networks,
- experiment planning for identification,
- methods of image recognition and processing, application for production quality monitoring;
- control theory – classical methods, numerical methods, cyclic systems,
- advanced adaptive, fuzzy, and other control algorithms,
- complex industrial process control systems, including DCS, SCADA, PAC, PLC,
- flexible manufacturing systems, CAM,
- control systems in intelligent buildings,
- control systems for multi-rotor flying and mobile systems,
- laparoscopic surgery trainers;
- advanced optimization algorithms, including heuristic algorithms, in particular evolutionary algorithms,
- production processes, logistics processes, and control systems optimization,
- computing optimization (supercomputer architectures, metaheuristics),
- discrete optimization, parallel and distributed algorithms,
- optimization in complex manufacturing systems.