Taras Bregin
Software development manager,
co-author of a number of the original processing algorithms
LinkedIn: ua.linkedin.com/in/tarasbregin/
E-mail: taras.bregin@img-service.com
OBJECTIVE JOB EXPIRIENCE
Neural networks. Universal binary and multi-valued neural elements;
learning algorithms.
Application of the neural networks to image processing and pattern
recognition.
Digital image processing (SAR, medical and other images).
Programming (Delphi, Pascal, C/C++, Assembler).
PC maintenance and support (software and hardware).
EDUCATION
State University of Uzhgorod, Department of Mathematics,
Uzhgorod, USSR (Ukraine), MD in Mathematics 1994-1999, master thesis
- “CNN based edge detection, and it’s application in Medical image
processing” (improvement of CNN based edge detection algorithm,
for more precise and specific edge detection. Introduced edge detection
according geometrical directions).
EMPLOYMENT EXPERIENCE
Company Neural Networks Technologies Ltd. (Israel) – researcher
in the Research Department, since 2000. Team leader and system
architect of Universal Image Processing Software System “VEGA”;
Research in the field of Neural Networks, Image Processing (nonlinear
filters); Work with ERDAS.
Company Neuro Technologies Ltd (Ukraine) - researcher
in the Research Department, 1998-2000. Team leader and system architect
of Universal Image Processing Software System “VEGA”; Research
in the field of Neural Networks, Image Processing (nonlinear filters),
Pattern Recognition.
Regional Oncology Hospital (Ukraine) - software engineer,
1996-1998
Software engineering, PC hardware/software maintenance and technical
support, database support, statistic analysis.
THE MAIN PUBLICATIONS
2002
Aizenberg I., Bregin T., Butakoff C. “Method for the impulsive
noise detection and its application for the improvement of the
impulsive noise filtering algorithms”, SPIE Proceedings vol.
4667, 2002 (Accepted)
2001
Aizenberg I., Aizenberg N., Bregin T., “New nonlinear combined
spatial-frequency domain filtering for noise reduction and image
enhancement”, SPIE Proceedings, Vol. 4304, 2001, pp. 221-231.
2000
Aizenberg I.N., Aizenberg N.N., Astola J., Bregin T., Butakov
C., Egiazarian K. “New applications of the nonlinear cellular
neural filters in image processing”, SPIE Proceedings, Vol.
3961, 2000, pp.45-56.
Aizenberg I., Aizenberg N., Bregin T., Butakov C., Farberov E.,
Merzlyakov N., Milyukova O. “Blur Recognition on the Neural
Network based on Multi-Valued Neurons”, Journal of Image and
Graphics. Vol.5, 2000
Tianjin, China, Proceedings of the First International Conference
on Image and Graphics (ICIG’2000), Tianjin, China, August 16-18,
2000, pp.127-130.
Aizenberg I., Aizenberg N., Butakov C., Farberov E. “Image
Recognition on the Neural Network based on Multi-Valued Neurons”,
Proceedings of the 15th International Conference on Pattern Recognition,
Barcelona, Spain September 3-8, 2000, IEEE Computer Society Press
, vol. 2. pp. 993-996.
Aizenberg I., Aizenberg N., Bregin T., Butakov C., Farberov E.
“Image Processing Using Cellular Neural Networks Based on Multi-Valued
and Universal Binary Neurons”, Proceedings of IEEE 2000 International
Workshop on Neural Networks for Signal Processing, Sydney, Australia,
December 13-15, 2000, IEEE Computer Society Press, 2000, pp. 557-567.
1999
Aizenberg I.N., Aizenberg N.N., Bregin T.R., Butakoff C.V., Farberov
E. “Application of the nonlinear cellular neural filters for
noise reduction, extraction of image details, edge detection and
solution of the super-resolution problem”, Proceedings of the
11th International Meeting on Electo-optics and Microelectronics
in Israel, November 9-11, 1999 (R.Lavi, E.Azoulay – Eds.), Bristol/Philadelphia:
Institute of Physics Publishing, 1999.
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