• ​Information Security
• Artificial intelligence and machine learning
• Mathematical models and optimization problems in big data analysis and pattern recognition:
o CAD systems;
o Mathematical models and optimization tasks in the analysis of big data and pattern recognition;
o Optimization tasks in high performance computing.
• Optimization tasks in socio-economic processes:
o Optimal management in the economy;
o Optimal placement of production;
o Logistics.
• Mathematical methods for solving optimization problems:
o Nonlinear optimization;
o Discrete optimization;
o Models and methods of evolutionary synthesis.
• Optimization problems in modeling real systems:
o Structural optimization of networks of different kinds (telecommunications, transport, information, etc.);
o Optimization of parameters of dynamic processes;
o Optimization in control and automation.
• Optimization problems of systems for collection, processing, analysis and storage of spatial data:
o Optimization tasks in data assimilation;
o Optimization of data collection in solving inverse problems.
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