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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

  1. 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

  1. 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

  1. 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.
  2. 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.
  3. 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.
  4. 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

  1. 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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Last Updated
Wed, February 6, 2002 18:41