Lab. 144 of the Kotelnikov IRE RAS


Laboratory of Biomedical Informatics of the Kotel'nikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences (Kotel'nikov IRE RAS)

Official website of Kotelnikov IRE RAS
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Official website of Development of the multi-agent logic programming approach to human behaviour analysis in a multi-channel video surveillance project
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The main tasks of the laboratory of Biomedical Informatics (Lab. 144):
- The investigations of time-frequency features in electroencephalogram, electromyogram, and accelerometer signals in the patients with early stage of Parkinson's disease;
- The development of methods for estimation of the phase coherence of signals from multi-channel EEG;
- New analysis and metric classification methods development of long-term clinical data of video and electroencephalographic monitoring;
- Methods and programs development for joint analysis of EEG and video monitoring in the reproduction periods after traumatic brain injuries.

The team of the laboratory:
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Head of the laboratory: Yury Vladimirovich Obukhov

Yury Vladimirovich Obukhov graduated from the Moscow Institute of Physics and Technology in 1974. He received Ph. D. degree in 1982 and he received Dr. Sci. degree of physical and mathematical sciences in 1992. Currently holds the position of the chief researcher and head of the laboratory of Biomedical Informatics of the Kotelnikov Institute of Radio Engineering and Electronics of the Russian Academy of Sciences. Scientific interests: signal and image processing and analysis, biomedical informatics and information systems. Author of more than 200 papers. Member of the editorial board of the journal Pattern Recognition and Image Analysis (Pleiades Publishing).
Yury Obukhov on Publons
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Olga Sergeevna Sushkova

Higher education: Moscow Humanitarian Pedagogical Institute, school of Information technologies in Education (2012). Postgraduate education: Bauman Moscow State Technical University, Ph.D. (2017). Current position: senior research associate of Kotel'nikov Institute of Radio Engineering and Electronics of RAS. Research interests: information technology, biomedical signal processing, electroencephalography, electromyography.
Olga Sushkova on ResearchGate.
Olga Sushkova is the press secretary of the Development of the multi-agent logic programming approach to human behaviour analysis in a multi-channel video surveillance project.
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Alexei Alexandrovich Morozov

Higher education: Bauman Moscow State Technical University (1985-1991). Postgraduate education: Institute of Radio Engineering and Electronics of RAS, Ph.D. (1998). Current position: senior research associate of Kotel'nikov Institute of Radio Engineering and Electronics of RAS, senior research associate of the Moscow MEG Center. Research interests: logic programming, intelligent visual surveillance, biomedical signal processing (EEG, EMG, MEG).
Alexei Morozov is the leader of the Development of the multi-agent logic programming approach to human behaviour analysis in a multi-channel video surveillance project.
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Ivan Andreevich Kershner

Higher education: Moscow Institute of Physics and Technology, school of Aerophysics and Space research (2012). Current position: post-graduate student of Kotel'nikov Institute of Radio Engineering and Electronics of RAS. Research interests: mathematics, computational methods, computer science, signal processing methods. Page in Вконтакте, email - ivan_kershner(at)mail(dot)ru.
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Renata Alekseevna Tolmacheva

Tolmacheva Renata Alekseevna works at the Kotelnikov Institute of Radio Engineering and Electronics of RAS since 2017, currently Renata Alekseevna holds the position of a junior research associate. She had been a Ph.D student of the Kotelnikov Institute of Radio Engineering and Electronics of RAS from 2016 to 2020.
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Konstantin Yurievich Obukhov

Obukhov Konstantin Yurievich is a graduate of the Moscow Institute of Physics and Technology (State University). Konstantin Yurievich has experience in the creation of recognition models in biomedicine based on machine learning algorithms. The main directions of scientific work are the classification of early parkinsonism and the recognition of epileptiform activity based on the data of measurements of electroencephalograms (EEG). Obukhov K.Yu. investigates the significance of time-frequency EEG features and their influence on the classification of various nervous diseases.
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Inna Alexandrovna Obukhova

Obukhova Inna Alexandrovna is a graduate of the Moscow Institute of Physics and Technology (State University). Inna Alexandrovna has experience in the creation of recognition models in biomedicine based on machine learning algorithms. The main directions of scientific work are the classification of early parkinsonism and the recognition of epileptiform activity based on the data of measurements of electroencephalograms (EEG). She investigates the significance of time-frequency EEG features and their influence on the classification of various nervous diseases.
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Sergei Yurievich Kust

Kust Sergei Yurievich graduated from the Bauman Moscow State Technical University in 2021; he studied at the Department of Medical and Technical Information Technologies. Since 2021, Kust S.Y. is a postgraduate student of the 1st year at the Kotelnikov Institute of Radio Engineering and Electronics of RAS. During his studies at the Bauman Moscow State Technical University, he prepared 2 papers, presented by him personally at international conferences.








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