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Flag of Ukraine kharkiv, Ukraine
Member since August, 2011
13 Recommendations

Ievgen Gorovyi

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I'm working in field of signal and image processing. My relevant skills include various signal processing and analysis techniques, computer vision and machine learning, artificial intelligence and pattern recognition and many more. My main instruments include but are not limited to: - C/C++/C# - OpenCV - Matlab,R I have successfully received a PhD in Physics and Mathematics and I am actively involved in scientific research. Currently, I have more than 30 publications and dozen of reports at international conferences all over the world. More information can be found in my website () My aim is to provide a high-quality solutions of problems of different scale and complexity. I'm always interested in new work and open for the discussion. I have successfully built one of the strongest profiles in Freelancer and created a team of enthusiasts, who are working with me.
$75 USD/hr
91 reviews
  • 90%Jobs Completed
  • 100%On Budget
  • 96%On Time
  • 30%Repeat Hire Rate

Recent Reviews



2005 - 2010 (5 years)

PhD in mathematics and physics

2010 - 2013 (3 years)


Best young scientist (2011)

Institute of Radio Astronomy

President's Young Scientists Grant (2012)

National Academy of Sciences of Ukraine

This Award is given for the most perspective young scientists in different scientific directions annually.

Best Scientific Paper (2012)


The 1st prize for the best paper on the international conference "Mathematical Methods in Electrodynamics".

Best paper prize (2014)


The award for the best paper in the young scientists conference

The 1st prize as the best oral presentation at Signal Processing Symposium (SPSympo-2015, Poland) (2015)

Warsaw University of Technology

The award is given for the best presentation of scientific results. Two papers of mine have won simultaneously: 1. Efficient Data Focusing and Trajectory Reconstruction in Airborne SAR systems 2. Robust Numper Plate Detector based on Stroke Width Transform and Neural Network


Estimation of Phase Errors in SAR Data by Local-Quadratic Map-Drift Autofocus

We have developed an efficient autofocusing approach, which allows to retrieve an arbitrary phase error from radar data. This algorithm gives a possibility to use quite cheap GPS receiver for the aircraft trajectory measurement. Proposed LQMDA method is used for high-resolution imaging up to 0.5 meter resolution.

Range-Doppler Algorithm with Extended Number of Looks

The Range-Doppler Algorithm (RDA) uses the Discrete Fourier Transform (DFT) for the efficient calculation of the convolution in the frequency domain. In the proposed method we extend the processed Doppler bandwidth in order to control real antenna beam deviation and nonuniform scene illumination.

Multi-Look Stripmap SAR Processing Algorithm with Built-In Correction of Geometric Distortions

An efficient time-domain algorithm for synthetic aperture radar (SAR) is proposed. The advantage of given method is an improved multi-look processing scheme with possibility to obtain the radar image not in ''radar coordinates', but directly on the ground plane.


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