Intelligent Information Technology and Mathematical Modeling

May 31th - June 6th, 2021



Registration


Section

Mathematical modeling and computational methods

  • Mathematical modeling and computational methods for natural, biological and medical systems.

  • Mathematical modeling and computational methods in problems of hydro-aerodynamics, magnetohydrodynamics, plasma physics and astrophysics.

  • Mathematical modeling and computational methods in problems of solid and deformable body mechanics.

  • Mathematical modeling in the socio-economic and informational spheres.

  • Parallel algorithms and programs for solving time-consuming problems of modeling and forecasting complex systems and processes.

  • Effective algorithms and optimization methods for large problems.


Intelligent information technology.

  • Artificial intelligence methods for the development and analysis of information systems and processes.

  • Machine learning, data mining and finding hidden patterns in big data.

  • Intelligent methods of pattern recognition and image processing.

  • Intelligent technologies in robotics.

  • Neural network technologies in science and technology.

  • Bioinspired optimization methods (genetic algorithms, ant colony algorithms, swarm algorithm, etc.).

  • Fuzzy control and decision-making systems.


Theory and practice of software development

  • Distributed databases, registries and blockchain technology.

  • Software testing, verification and validation.

  • Software architecture.

  • Modern software development technologies.

  • High-performance computing systems software.

Modern information technologies in education

  • IT education: methodology and methodological support.

  • E-learning and IT in education.

  • Software in Education: Digital Media and Hypermedia.

  • Design of educational spaces.

  • Assistive Information Technology Teaching.

  • Virtual training (approaches, stands, software).

  • Computer systems of learning management.


Security issues of modern infocommunication systems

  • Analysis of security and vulnerabilities of software (SW) infocommunication systems.

  • Mathematical methods and algorithms for static, dynamic and combined analysis of software to ensure its safety.

  • User confidentiality, personal data protection and systems for controlling access to confidential data.

  • Information security methods and systems, information security.

  • Security of software applications, methods and systems for their protection.

  • Cyberattacks (hacker attacks) on Web resources, and countermeasures to repel them.

  • Information security and privacy issues on social networks.

  • Information counteraction to threats of terrorism, violence and distribution of content prohibited by law on the Internet.

  • Ensuring the cybersecurity of telecommunication systems.

  • Steganographic methods of concealing information exchanges.

  • Security and protection of information on the "Internet of things".

  • Quantum algorithms, quantum hacking, photonic systems, quantum and optoinformatics.

  • Hardware and software security systems and design of computer security systems.