Mathematical Modeling and Artificial Intelligence Megalaboratory

The Mathematical Modeling and Artificial Intelligence Megalaboratory is operated by the Institute of Artificial Intelligence.

Within the Megalaboratory, students, graduate researchers, and faculty carry out a broad range of research in artificial intelligence. They develop and train complex neural networks, work with large language models, create and optimize deep learning models, perform analysis of large datasets, and conduct research in the fields of computer vision, natural language processing, intelligent data analysis, and predictive analytics.

The Megalaboratory is equipped with high-performance computing clusters featuring powerful graphics processing units (GPUs), enabling efficient execution of compute-intensive tasks and rapid processing of large datasets. It also has the software and toolkits needed for the development, verification, and optimization of AI models and data analytics pipelines.

This state-of-the-art technical infrastructure supports both broader and deeper fundamental research and resolution of the applied challenges explored at the university; it also fosters the development of new competencies in creating innovative AI-driven solutions.

The core focus of the Megalaboratory is the development and implementation of an integrated approach that combines traditional mathematical modeling methods with cutting-edge artificial intelligence technologies. Key emphasis areas include:

Core Research Areas

• Development of intelligent information systems for analyzing, managing, and forecasting socio-economic and natural processes;
• Design of machine learning algorithms;
• Creation of data analytics tools;
• Advancement of AI applications in medicine;
• Robotics and human-machine interaction;
• Development of intelligent decision-support systems;
• Design of autonomous intelligent systems;
• Fine-tuning and adaptation of large language models;
• Model evaluation and testing.

Opportunities for Students

• Participation in real-world research projects;
• Internships at leading technology companies;
• Publication of scientific papers in peer-reviewed journals;
• Participation in international conferences;
• Certification in modern AI technologies;
• Participation in specialized competitions and Olympiads.

The Megalaboratory actively collaborates with leading technology companies and research centers. This collaboration enables:

• Integration of current practical challenges into the academic curriculum;
• Joint research initiatives;
• Access to advanced technologies and datasets.

Digitization of public administration has become a key priority in the development of the modern economy. Researchers at the Megalaboratory are developing applications of advanced AI technologies in the following areas:

Automation of document workflows using optical character; recognition and document classification systems;

• Big data analytics to optimize the operations of public agencies;

• Predictive analytics for government planning and forecasting;

• Intelligent analysis of citizen feedback to improve service quality;

• Decision-support systems for public administration.

Future plans for the Megalaboratory include expanding its research portfolio, launching interdisciplinary projects with other university departments, and strengthening international cooperation in artificial intelligence. Special emphasis is placed on training a new generation of specialists capable of developing innovative solutions at the intersection of multiple domains.

Hardware:

• Supercomputing cluster with latest-generation GPU accelerators;
• Specialized workstations;
• High-capacity data storage systems;
• Equipment for experimental research in computer vision and related fields.

The integration of mathematical modeling and artificial intelligence techniques enables high performance and accuracy in the analysis of complex systems and strategic decision-making. The Megalaboratory’s work is directed toward ensuring sustained growth of the nation’s scientific potential and maintaining the global competitiveness of domestic science and industry.