Alexander B. Blinov

Citizenship: The Russian Federation. 
1996
Ph.D. degree, Institute of Control Problems of the Russian Academy of Sciences, Moscow.
Thesis: Segmentation Algorithms for Composite Texture Images.
1990
M.S. degree, Tula Polytechnic Institute, Department of Electronic Computing Machines.
Since 1996
Associate Professor,
Tula State University, Department of Technical Cybernetics.Lecture Courses: Methods of Optimization, Theory and Technology of Computer Programming, Informatics, Theory of Calculation Processes and Structures.
Theoretical Research: Pattern recognition in signals and data fields with changing probabilistic properties, Markov methods for signal and image analysis.
Applications: Analysis of seismic explorative data arrays, computer telephony, image analysis.
19931996
Assistant Professor,
Tula State University, Department of Technical Cybernetics.Lecture Courses: Methods of Optimization
Research: Methods and algorithms of massive data set processing based on models of random processes and fields with changing probabilistic properties.
Applications: Analysis of seismic explorative data arrays, image analysis.
19931990
Teaching Assistant and Graduate Student,
Tula State University, Department of Technical Cybernetics.Subjects: Probability Theory, Computer Programming, Theory of Automatic Control.
Research: Models of random processes and fields with changing probabilistic properties.
Models of random processes and fields with changing probabilistic properties, change detection in random processes and fields, pattern recognition in signal and image analysis, image segmentation, texture analysis, stereo image analysis, analysis of geophysical exploratory data.
About 20 scientific publications.
Blinov, A.B, Michailov A.Yu. Segmentation of composite texture images on hidden Markov models of lines. Abstract of communication Sixth International Vilnius Conference on Probability Theory and Mathematical Statistics, Vilnius, June 28  July 3, 1993.
Mottl V.V., Blinov A.B., Kopylov A.V., Zheltov S.Yu. Quasistatistical approach to the problem of stereo image matching. SPIE Proceedings, 1994, Vol. 2363, pp. 50 61.
V.V. Mottl, A.B. Blinov. A texture processing algorithm and its application to seismic section segmentation. The 4th Open Russian German Workshop “Pattern Recognition and Image Analysis”. Valday, Russian Federation, March 39, 1996, pp. 103106.
V.V. Mottl, A.B. Blinov, A.V. Kopylov. Generalized technique for a class of image analysis problems based on treelike quasiMarkov models of the hidden information. The 4th Open Russian German Workshop “Pattern Recognition and Image Analysis”. Valday, Russian Federation, March 39, 1996, pp. 107111.
V.V. Mottl, A.B. Blinov, A.V., Kostin. Algorithms for analysis of threedimensional textures and their application to processing the data of seismic prospecting. Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications, 1996, Vol. 6, № 2.
Mottl V.V., Muchnik I.B., Blinov A.B., Kopylov A.V. Hidden TreeLike QuasiMarkov Model and Generalized Technique for a Class of Image Processing Problems. 13th International Conference on Pattern Recognition. Vienna, Austria, August 2529, 1996. Track B, pp. 715719.
V.V. Mottl, A.B. Blinov, A.V., Kostin. Texture analysis algorithms and their application to seismic data processing Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications, 1997, Vol. 7, № 1
Mottl V.V., Muchnik I.B., Blinov A.B., Kopylov A.V. A generalized approach to a class of image processing problems based on a treelike quasiMarkov model of neighborhood between the grid elements Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications, 1997, Vol. 7, № 1
V.V. Mottl, A.B. Blinov, A.V. Kopylov, A.A. Kostin. Optimization techniques on pixel neighborhood graphs for image processing GraphBased Representations in Pattern Recognition (J.M. Jolion and W.G. Kropatsch, ed.). Computing, Supplement 12. SpringerVerlag/Wien, 1998, pp. 135145.
V.V. Mottl, A.B. Blinov, A.V. Kopylov, A.A. Kostin, I.B. Muchnik. Variational methods in signal and image analysis. Proceedings of the 14th International Conference on Pattern Recognition. Brisbane, Australia, August 1620, 1998. Volume I, pp. 525527.
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