Research conducted by ICIS is aimed at the priority development of perspective research projects, for example, intelligent big data processing systems, the human-machine neuro-communication system, the immune system of antiviral protection, the management systems of mobile robot collectives, and the integrated protection of information systems of critical objects.
The main research directions of ICIS:
  • Cybersecurity
  • Platform Technologies
  • Financial security
  • Artificial intelligence, neurotechnology
  • Modeling, processing of physical data
  • Cryptographic methods of information protection
The list of main laboratories:

Directions of research:

creation of computing infrastructures using hybrid supercomputer technologies;

the development of testing systems for hybrid computing systems; creation of high-performance technologies for inter-machine data exchange;

planning of computations in hybrid computer systems using machine learning methods; The development of methods to improve the performance of data retrieval operations.

The laboratory has its own supercomputer with a hybrid architecture, a software platform for BigData.

The hardware-software robot-technical complexes are being developed, the training of scientific and engineering personnel in the field of robotics is being carried out.

The global direction of development is to increase the intelligence of robotic systems. The main activities: development of new and testing of prototypes of robotic systems, development of specific and non-standard algorithms for their functioning and interaction, development of solutions for increasing the intelligence of robotic systems, creation of hardware-software control systems for individual robots and heterogeneous groups of mobile robots, development of hardware systems for robotics modern microprocessors and FPGAs.

Purpose: certification tests of information objects for information security requirements; certification tests of information protection means against unauthorized access, including the means in which they are implemented, as well as means for monitoring the effectiveness of information protection against unauthorized access; certification testing of information technology security tools, including secure means of information processing. means of protection of information from unauthorized access and means of ensuring the security of information technologies; identification examination of electronic devices on their radiation response to identify undeclared capabilities and identify counterfeit.

Purpose of the laboratory: research work of students in the field of information security.

Used equipment: The stand for carrying out of special researches of technical means on protection against information leakage; stand for the detection of electronic devices intended for secretly receiving information, in premises and facilities; stand for penetration tests.

Solved problems: attestation of the AU on the requirements of information security; vulnerability search in system and application software; monitoring of vulnerabilities at network levels, operating systems and application software, database management system; control settings of the mechanisms for updating the system and application software; control mechanisms of identification and authentication of users.

Small-scale production of high-tech products with an automated control system certified according to the international standard ISO 9001 and allowing to carry out a number of works: manufacture of printed circuit boards; punching of housings and optics; installation of components; casing, case welding and packaging; Check for a helium leak detector and gas sterilization. In the established industrial infrastructure, the Integrated Automated Production Chain (EPTA) has been introduced for the whole sequence of actions.

The main problem to be solved is the search for general laws and principles on which computer science and IT are based.

Main Research Areas: application of IT to form a new understanding of how knowledge is transferred; the development of software tools for debugging the designs of newly created programming systems; research and development of specialized computing models for domain-specific solutions.

The main task is to carry out design and implementation works in the interests of NNIU MEPhI, enterprises of high-tech industries and training of engineering personnel using the principles of “project education”. Research areas: software engineering; design and prototyping of instrumentation products; IT support product management at all stages of the life cycle.

The main tasks to be solved: the development and experimental study of the theory and technology of building intelligent systems of various typologies and complexity; development of models, methods and tools of intellectual technology for building integrated expert systems and intelligent agents and multi-agent systems; development of new generation tooling tools for building dynamic intelligent systems based on the development of the AT-TECHNOLOGY complex; development and application of training integrated expert systems for intellectual learning; knowledge engineering, knowledge management and ontology; the application of computer linguistics methods for the processing of natural language and the creation of intelligent interactive systems.

Research is conducted in applied fields: analysis of cognitive processes in humans and animals, research of brain activity, research of neuronal cultures, medical diagnostics, computer vision. The tasks to be solved in the following areas: machine learning: the study of methods for discriminant data analysis, research and development of methods for selecting and forming characteristics for classification, the study of teaching methods without a teacher and partial training, the theory of neural networks, the application of neural networks to solve applied data processing problems; computer sight: recognition of typewritten text, reconstruction of 3d-scenes, visual odometry, support of objects in video streams; Signal analysis: development of methods for classification of multidimensional time series, development and research of methods of segment analysis of spatially-distributed time series, investigation of methods of spectral, coherent and causal analysis of time series, development of time series modeling methods; the development of training systems: the development of laboratory complexes for courses “Theory of Probability”, “Mathematical Statistics”, “The Theory of Neural Networks”; the development of web-oriented and individualized learning systems.

The list of key modern equipment: supercomputer Cherenkov, the main parameters: 304 physical cores, 2.5 TB RAM, 36 TB of useful disk space, Infiniband FDR 56 Gbps, peak performance 12 TFlops; supercomputer “Basov”, the main parameters: 340 physical cores, 2.5 TB RAM, 7.3 TB of useful disk space, 10 Gbit / s network, peak performance 7.2 TFlops.

Directions of research:

  • Development of new methods of nonlinear mathematical physics;
  • Development of new methods for constructing analytical solutions of nonlinear differential equations;
  • Mathematical modeling of physical processes;
  • New numerical methods for modeling physical processes;
  • The tasks of optimization and processing of measurement results.