[image]

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 90 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.

 

[HOME| Staff| Recent| Current| Perspective| New Trends| Publications| Partners| Address]