signal and image analysis,
shape analysis,
data mining,
pattern recognition,
machine learning.
Biography
She received the Ph.D. Degree in Engineering and Technologies from Tula State University. Ph.D. Thesis: “Methods and Algorithms for Binary Images Matching Based on Skeletonization” (2018). Now she is Assistant Professor at the Institute of Applied Mathematics and Computer Science, Tula State University, and Senior Researcher at Laboratory of Cognitive Technologies and Simulating Systems, Tula State University. Olesia Kushnir was principal investigator of a grant of the Russian Fund for Basic Research, and takes part in grants of other researchers. She worked as visiting scientist at Institute of Computer Vision and Applied Computer Sciences (IBaI), Leipzig, Germany, and National Taipei University of Technology. She was a student in International Computer Vision Summer School (ICVSS), Sicily, Italy. She has published more than 40 scientific papers in refereed journals, handbooks, and conference proceedings
N. A. Lomov, O. S. Seredin, D. V. Liakhov, O. A. Kushnir, “Constraints for Jaccard index-based rotational symmetry focus position in binary images”, Computer Optics, 47:6 (2023), 948–957
2022
2.
O. S. Seredin, O. A. Kushnir, S. A. Fedotova, “Comparative analysis of reflection symmetry detection methods in binary raster images with skeletal and contour representations”, Computer Optics, 46:6 (2022), 921–928
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