Maxim Yurievich Polenov 

+7(863) 437-15-50

Associate Professor

Institute of Computer Technologies and Information Security

E-mail:

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Degree: Candidate of Sciences

Personal page in Russian:

https://sfedu.ru/person/mypolenov

Personal page in English:

https://sfedu.ru/en/person/mypolenov

Research interests:

Complex system simulation; Models' translation; Distributed models libraries, Parallel programming

Research projects:

Development and research of the algorithmic base and the on-board specialized computer implementing on this basis and oriented on the automated solution of 2D-navigation tasks in real time, (SFedU grant, 2013)

Development and research of the principles of creation of the high-performance intelligent computing systems realized on the basis of neural network and quantum computing, oriented on use in control systems of the devices functioning in a priori unformalized problem environments, (State task, 2014-2016)

A study of methods for quantum simulators constructing and development of the quantum computer model, (RFBR grant, 2015-2017)

Development and research of design principles of adaptive high-performance intellectual computer complexes for the uninhabited mobile robotized platforms of collective gathering and processing of the information on the multivariate problem environment (State task, 2017-2019)

Development and research of methods and tools for automating the translation of software models using expert systems (RFBR grant, 2019-2021, project director)

Teaching:

• Mathematical modeling
  Studying of methods of practical application of mathematical methods of modeling. Simulation models, formalization and algorithmization of the development of conceptual models, construction of modeling algorithms, estimation of accuracy and reliability of simulation results. Mastering the principles of systems modeling using VHDL language
• Network and Web technologies
  Study the principles of organization of different types computer networks (wide, metropolitan, enterprise and local), mastering of modern network technologies and network hardware and software.
• Computer systems and computer network design
  Studying and mastering of methods and principles of development computer networks of various scale (regional, enterprise and local) on the basis of high-performance network equipment using advanced network technologies and software.
• Theory and tools of data transmission
  Study of modern network technologies and tools of data transmission, obtaining practical skills of analysis of data transmission efficiency and interconnection of elements of automated systems.