Scientific profile of the Institute

Mission of the Institute

Our mission is to educate specialists in IT and cybersecurity. We combine education, research, and practice to develop modern technologies and support the secure digital transformation of society and the economy.

The Institute’s Vision

We want the Institute to be a place where science, technology, and practice converge with a single goal: developing the knowledge and skills needed in the digital world. We strive to collaborate with industry, government, and the scientific community to jointly create solutions that support digital security and development.

Interdisciplinarity and cooperation

The Institute’s strength lies in its interdisciplinary approach to research and education. We combine knowledge and experience in computer science, engineering, mathematics, and physics, creating a coherent research area focused on the practical applications of modern technologies. This combination allows us to approach research problems from diverse perspectives and create innovative solutions that address the real needs of the modern digital world. Our activities combine education, research, and collaboration with the socio-economic environment. We collaborate with universities, research institutes, and companies in the information and communication technology (ICT) sector, allowing us to exchange experiences, develop competencies, and effectively transfer knowledge and technology. Such partnerships foster the development of modern skills in computer science and cybersecurity, and support the implementation of projects that combine theory with practice and contribute to the development of digital innovations.

Research profile

1. Mathematical and physical foundations of computer science

Mathematical modeling, probability theory, information and coding theory, elements of control and complexity theory. Mathematical and physical foundations of computer science, logic and discrete mathematics. Modeling physical phenomena and dynamical systems, field-theoretic equations, topological structures, and quantum mechanics. Application of analytical and numerical methods in research on the theory of computation and the development of computational methods.

2. Data Analysis and Artificial Intelligence (AI)

Data analysis, machine learning, and data mining methods. Signal and image processing, risk modeling, and the development and optimization of artificial intelligence algorithms. Natural language processing (NLP), recommendation systems, and data visualization methods. Research on trustworthy, verifiable, and ethical artificial intelligence (trustworthy AI).

3. Cybersecurity technologies

System and network security, cryptography and cryptanalysis, privacy and data protection. Cybersecurity of IT systems, cloud environments, IoT/OT, and cyberphysical systems. Critical infrastructure protection, intelligent threat detection systems, biometric technologies, and digital resilience. Legal and organizational aspects of security in the digital economy.

4. Modern methods of software and systems engineering

Security-by-design and privacy-by-design, DevSecOps, system verification and validation, reliability engineering, and maintenance of complex IT environments. Computer engineering, industrial electronics, and network technologies in security applications. Integrating artificial intelligence into the design, testing, and protection of IT systems.