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Andrei V. Kopylov, Ph. D.
Tula State University
Lenin Ave. 92, 300012, Tula, Russia
Phone: +7 (487-2) 25-79-40
FAX: +7 (487-2) 35-81-81
E-mail:
kopylov@tsu.tula.ru
And.Kopylov@gmail.com

Date of Birth: October 16, 1970.

Citizenship: Russian Federation.

 

Academic History:

1997

Ph.D. degree, Institute of Control Problems of the Russian Academy of Sciences, Moscow.
Thesis: Quasi-Statistical Approach to Image Matching.

1993

M.S. degree, Tula State University, Department of Automation and Remote Control.

Scientific History:

Since 2013

Associate Professor,

Tula State University, Institute of Applied Mathematics and Computer Science.

Lecture Courses: Image Analysis, Digital Signal Processing, Computer Graphics.

Research: Parametric procedures for edge-preserving image smoothing

2005 - 2013

Associate Professor,

Tula State University, Department of Technical Cybernetics.

Lecture Courses: Intelligent Technologies, Computer Graphics, Operating Systems, Signal and Image Processing.

Theoretical Research: Optimization approach to the image and signal analysis.

03/2008-05/2008

Visiting Researcher,

Dorodnicyn Computing Centre of Russian Academy of Sciences.

2001-2005

Postdoctoral Research Fellow,

Tula State University, Department of Technical Cybernetics.

Research: Pairwise Separable Optimization for Signal and Image Processing.

1997-2001

Associate Professor,
Tula State University, Department of Technical Cybernetics.

Lecture Courses: Intelligent Technologies, Automation and Control.

Researcher,
Laboratory of Data Analysis, Department of Technical Cybernetics.

Theoretical Research: Edge preserving in image smoothing, image matching and texture analysis.

Applications: Analysis of satellite photographs.

1993-1996

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.

1993-1990

Post Graduate Student,
Tula State University, Department of Technical Cybernetics.

Research: Analysis of stereo images.

Scientific Interests:

Data Mining, Image Processing, Image Analysis, Pattern Recognition, Machine Vision.

Recent Projects

RFBR 12-07-92000, NSC 101-2923-E-002-016-MY3. Enhanced Traffic Flow Video Analysis design of Transport Monitoring Systems, Principal Investigator. Project finished in 2014

RFBR 13-07-00010_14. Development of methods and algorithms of parameter estimation for Markov models in ordered data processing. Head of the project. Project finished in 2015

RFBR 16-57-52042. Title in English: Emergency Event Detection and Recognition in Video Monitoring of Elderly Individuals for a Wireless Health Care System, Project Coordinator. Current project

RFBR 16-07-01039. Development of methods and algorithms for processing images and other types of ordered data on the basis of Trained Markov Models. Head of the project. Current project

Publications:

About 100 scientific publications.

Some papers in English:

Andrey Kopylov, Olga Krasotkina, Oleksandr Pryimak and Vadim Mottl. A Signal Processing Algorithm Based on Parametric Dynamic Programming. Lecture Notes in Computer Science, 2010, Volume 6134/2010, 280-286.

Major awards and honors

Best Paper Award, The Seventh IASTED International Conference on Signal Processing, Pattern Recognition and Applications, February 17 – 19, Innsbruck, Austria, 2010.

Grant for Young Teachers of the Leading Russian State Universities, Potatin Foundation, 2004.

Young Scientists Competition Winner, 5th International Conference “Pattern Recognition and Image Analysis: New Information Technologies”, Samara, Russia, October 16-22, 2000.

Award Winner, MAIK Nauka/Interperiodica Publishing Company, “For the best series of publications in journals of Russian Academy of Sciences in 1997”, 1997.

Reviewer for Conferences and Journals, Conferences Section Chair, Member of Program Committee:

 

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