Geoinformation technology department
Digital signal processing and analysis, pattern recognition, geographical information technology, and information security.
Supervised a number of R&D projects, including Federal scientific and engineering programmes, RFBR grant projects, contract research projects for research organisations and enterprises.
Author and co-author of over 270 research papers and teaching materials, including 4 monographs, 5 patents of invention in the Russian Federation.
Education and certificates:
1974: graduated from Kuibyshev Aviation Institute (KuAI, presently Samara State Aerospace University, SSAU), Radio engineering faculty (radio engineer)
1978: defended the thesis “Development and research of data compression algorithms using measuring and computing complexes for image registration and processing” at Leningrad Electrotechnical Institute; completed a PhD in engineering
1983: received the title associate professor of Automated control system department at KuAI
1993: defended the thesis “Methods of digital modelling optoelectronic systems for remote image formation and processing” at SSAU; completed the degree of Doctor of Engineering in 1994
1996: received the title professor of Technical cybernetics department at SSAU.
1968–1974: student of KuAI
1974–1975: engineer at KuAI
1975–1978: postgraduate at KuAI
1978–1981: teaching assistant at KuAI
1981–1988: associate professor at KuAI
1988–1991: senior researcher at KuAI
1991–1993: leading researcher at KuAI (SSAU)
1994–present: head of the laboratory of Mathematical Image Processing Systems at the Image Processing Systems Institute of the RAS.
Part-time job (presently):
head of Geographical information science and information security department at SSAU
Director General of Samara-Informsputnik OAO, an open joint-stock company
Director of Kompyuternye Tekhnologii ZAO, a closed joint-stock company
Main scientific achievements:
effective methods of coding (compression) digital images with quality control using the uniform approximation criterion
methods and information technologies of computer modelling videoinformational tract for computer vision systems
parallel-recursive methods of local digital image processing and pattern recognition
universal methods of local image processing based on the theory of pattern recognition
methods and GIS technologies for remote sensing data processing, i.e. space images of the Earth.
Successfully performing teacher’s duties, V. V. Sergeyev is the organiser and scientific and methodical supervisor of students’ training for the qualification “Mathematical image processing” (within the programme “Applied Mathematics and Computer Science”), which has been conducted at KuAI / SSAU since 1985. During his teaching career, he has established and given 12 lecture courses, developed and published over 20 academic papers. He pays great attention to training highly qualified scientific personnel; under his supervision, nine PhD theses have been defended: K. V. Ovchinnikov (1989), V. M. Chernov (1993), N. I. Glumov (1994), V. V. Myasnikov (1998), S. B. Popov (1998), M. V. Gashnikov (2002), A. V. Chernov (2004), A. Yu. Bavrina (2006), E. V. Myasnikov (2007), two of them have become doctors (higher doctorate): V. M. Chernov (1999) and V. V. Myasnikov (2008).
V. V. Sergeyev has extensive experience in scientific expertise; he has been repeatedly selected to oppose PhD and doctoral theses. He is a member of two Dissertation councils, the editorial boards of two scientific journals, a member of the programme committees of several national and international conferences, an expert of Higher Attestation Commission, RFBR and other research funds.
Research interests: mathematical methods, fast computational algorithms and new information technologies for digital signal processing, image and video analysis, feature extraction for pattern detection and recognition.
Deputy Chairman of the Dissertation Council D 212.215.07 (programme 05.13.17 “Theoretical Foundations of Computer Science”) at SSAU
Member of the Dissertation Council D 212.215.05 (programme 05.13.18 “Mathematical modelling, computational methods, and software systems”) at SSAU
Chairman of the Scientific and Technical Research Council on preliminary thesis examination for the programme 05.13.17 “Theoretical Foundations of Computer Science” at SSAU
Member of the Scientific and Technical Research Council on preliminary thesis examination for the program 05.13.18 “Mathematical modelling, computational methods, and software systems” at SSAU
Member of the expert council of Higher Attestation Commission on Management, Computer Science and Engineering.
Expert of RFBR (Russian Foundation for Basic Research)
Corresponding Member of the Russian Academy of Ecology
Corresponding Member of the Russian Academy of Engineering
Member of SPIE, the international society for optics and photonics
Member of IAPR, the International Association for Pattern Recognition
Chairman of the Volga region branch of the Russian public organisation “Association of pattern recognition and image analysis”
Member of the editorial board of “Pattern Recognition and Image Analysis”
Member of the editorial board of “Computer optics.”
1998: the Governorate Prize of Samara Region for achievements in science and technology
2007: S. P. Korolyov medal (Cosmonautics Federation of Russia)
2011: Diploma of Samara Regional Duma
2011: Certificate of Honour of the Russian Academy of Sciences
2013: Acknowledgement of the Samara Regional Governor
Kopenkov V. N.Sergeev V. V. Proceedings of the Тринадцатая Всероссийская открытая конференция "Современные проблемы дистанционного зондирования Земли из космоса" Space Research Institute of RAS, Moskow, Russia
Kopenkov V. N.Sergeev V. V. Proceedings of the 2-ая Международная научная конференция «Региональные проблемы дистанционного зондирования Земли» (РПДЗЗ-2015) Siberian Federal University, Krasnoyarsk, Russia
"Hyperspectral remote sensing data compression and protection"
Computer optics - 2016, Vol. 40, № 5, p. 689-712
"A parametric model for the autocorrelation function of space hyperspectral data"
Computer optics - 2016, Vol. 40, № 3, p. 416-421