Font size

A
A

Line height

A
A

Color

A
A

Igor Vasilievich Shcherban 

Senior researcher

Southern Federal University

Senior researcher

Southern Federal University

E-mail:
Этот e-mail адрес защищен от спам-ботов, для его просмотра у Вас должен быть включен Javascript Этот e-mail адрес защищен от спам-ботов, для его просмотра у Вас должен быть включен Javascript

Degree: Doctor of Sciences

Personal page in Russian:
https://sfedu.ru/person/ivsherban
Personal page in English:
https://sfedu.ru/en/person/ivsherban

Research interests:

 Skills:

- leading of a research team in the field of creating science-intensive software for decision support in various subject areas based on elements of artificial intelligence, machine learning (discrete classification, regression, clustering, dimensionality reduction) and mathematical modeling;  knowledge of the theoretical foundations and experience in the practical application of statistical models and methods of machine learning, analysis of semi-structured data; knowledge of the theory of optimal estimation and identification, relevant computational methods and technologies, including digital signal processing methods (filtering, spectral and temporal analysis, optimal Kalman filtration, singular spectrum analysis, empirical mode decomposition); deep knowledge of the theory of optimal control;

- personal programming skills in Python, Delphi, LabView National Instruments; skills in programming computational algorithms in computer mathematics packages (Matlab, MathCad, Statistica);

- knowledge of English at a level sufficient to freely read technical and scientific literature;

- experience in ensuring the quality of the results of intellectual activity and reporting documentation.

Research projects:

(since 2010)

1. Team lead in the joint project of the Russian Advanced Research Foundation, Southern Federal University and Rostov Cancer Research Institute of the Ministry of Health of Russia https://fpi.gov.ru/projects/khimiko-biologicheskie-i-meditsinskie-issledovaniya/narva/  (2015-2021).  

A technology for the early detection of socially significant diseases has been developed, which is based on the idea of ​​using macrosmatic animals as sensors. The method has been created for the intellectual analysis and interpretation of multidimensional signals of bioelectrical activity of the structures of the olfactory analyzer of the animal's brain. The solution was obtained on a deep study of the olfactory analyzer of the rat's brain, analysis of biomedical images recorded by a laser two-photon microscope during the visualization of calcium signals of fluorescence of rat olfactory bulb cells at the glomerular level. A classification of patterns induced by tumor markers masked by patterns of spontaneous brain activity was required. The spatial forms and characteristics of the patterns of spontaneous and tumor marker-induced activity are a priori indeterminate, non-stationary in time and heterogeneous in space, may coincide or be close in time of manifestation. The specialized science-intensive methods and algorithms has been developed.

2. Team lead in the project "Creation of high-tech production for the manufacture of information and telecommunication systems for satellite navigation GLONASS/GPS» (2010-2014).

Teaching:

  • Measuring Information Systems
  • Control Systems
  • Instrumentation technology
  • Modeling and analysis of a dynamic data