Data Scientist with PhD in Remote Sensing and 15+ years of industrial experience. Participation in State and private research programs as project head or executive officer. Over fifteen years of successful research experience (h-index is 9) in digital signal processing (1D and 2D signal processing including biomedical and physiological signal processing, preprocessing, filtering, compressing, visual quality metrics) and data science. Strong problem-solving and analytical skills. Advanced programming proficiency. Certified in Data Analysis and Machine Learning.
National Aerospace University -'Kharkiv Aviation Institute', Ukraine 2006 - 2011
Master of Science
Harkivs'kij Deržavnij Tehnicnij Universitet Radioelectroniki, Ukraine 1999 - 2004
UkrTelecom Education Center
Expert of Information security of wireless Internet access
Automated Software Tool for Compressing Optical Images with required Output Quality
The paper presents an automated software tool for lossy compression of grayscale images. Its structure and facilities are described. The tool allows compressing images by different coders according to a chosen metric from an available set of quality metrics with providing a preset metric value. Examples of the tool application to several practical situations are represented.
ACCELERATION AND EFFICIENCY ANALYSIS OF DCT-BASED FILTERING
Ways to accelerate image denoising based on discrete cosine transform are considered. A main emphasis is on data processing in partially overlapping blocks of size 8×8 pixels. Two thresholding operations are studied. A simple local adaptation procedure is proposed and its efficiency is analyzed. Comparison of filtering efficiency is carried out using several quality metrics, both standard and based on peculiarities of human visual system. It is demonstrated that, compared to full-overlapping denoising, loss
Accuracy improvement of noninvasive determination of glucose concentration in human blood
A method of the improvement of the accuracy of the existing thermospectroscopic glucometer is presented in the article. The improvement of the accuracy is based on an increase in the measurement time by two times as compared to the existing method and the introduction of the body mass index in the model. Preliminary age-specific clusterization of input data is added. The results of the work of the proposed method, using 36 patients, are given. The clinical acceptability of the result in accordance with Clar
The new method for noninvasive measuring of glucose in human whole blood
Acad. J. Sci. Res
A new method of noninvasive glucose measurement for type 2 diabetics mellitus was proposed. This was based on thermal spectrum measurement, which is gotten from several sources particularly bifurcation points. Choice of activation function for multivariate regression technics, preprocessing procedures and device prototype are presented. The results of the proposed method, using 238 patients, are given. The clinical acceptability of the result in accordance with Clarke and Parkes Error Grids is shown. The pe