Yelyzaveta Olehivna Zhabsk – Department of Software Systems and Technologies

18.05.2026

PhD, Associate Professor

Profiles: Google Scholar · (Scopus) · Web of Science · ResearchGate · ORCID · DBLP

Doctor of Philosophy in Software Engineering, Associate Professor of the Department of Software Systems and Technologies

Education higher

Vasyl Stus Donetsk National University, specialty «Computer Science», qualification of Master of Computer Science, diploma with honors.

Defended dissertations

Doctor of Philosophy (PhD): "Mathematical and software of biometric identification based on local-textural descriptors" (121 — Software Engineering), Taras Shevchenko National University of Kyiv.

Work experience

2020 – present. Assistant, Associate Professor of the Department of Software Systems and Technologies, Faculty of Information Technologies, Taras Shevchenko National University of Kyiv.
2019–2020 — Head of the General Purpose Software Training Laboratory of the Computer Technologies Department of Vasyl Stus Donetsk National University.
2018–2019 — laboratory assistant of the general-purpose software training laboratory of the Department of Computer Technologies of the Vasyl Stus Donetsk National University.

Theses

More than 50 scientific works, of which 20 articles in publications included in the Scopus and Web of Science scientometric databases, in particular, 1 article in an international refereed journal classified in the first quartile (Q1) according to the Scimago Journal & Country Rank classification, 5 articles in professional scientific publications of Ukraine included in category "B", 14 abstracts in the materials of international scientific conferences, 2 collective monographs, 1textbook, 5 certificates of copyright registration for scientific works and computer programs. Hirsch index: Scopus – 7, Google Scholar – 7.

Research interests

Computer graphics, methods and technologies of image analysis and processing, image recognition, computer vision, cybersecurity.

Basic monographs, textbooks, manuals

Martsenyuk V., Bychkov O., Merkulova K., Zhabska Y. et al. Innovations for Big Data in a Real World. Bielsko-Biała: Wydawnictwo Naukowe Akademii Techniczno-Humanistycznej, 2022. 370 p.
C# – Creativity of Programming. Volume 1. Object-oriented programming: textbook \\ Edited by Bychkova O.S. Authors: Ivanov e.V., Zhabska Ye.O., Petrivskyi V.Ya., Merkulova K.V., Shatyrko A.V., Porev H.V.: Volyn. Oberegi, 2024. – 292 p. ISBN: 978-617-8161-30-9.

Publications in Scopus and Web of Science

V. Martsenyuk, O. Bychkov, K. Merkulova, and Y. Zhabska, “Exploring Image Unified Space for Improving Information Technology for Person Identification,” IEEE Access, vol. 11, pp. 76347–76358, 2023, doi: 10.1109/ACCESS.2023.3297488.
O. Bychkov, K. Merkulova, Y. Zhabska, and I. Ivanenko, “Exploring Neural Network Methods for Software of Military Object Detection in UAV Images,” CEUR Workshop Proceedings, vol. 4158, 2025, pp. 159–170.
O. Bychkov, K. Merkulova, Y. Zhabska, and A. Yaroshenko, “Enhancing Object Detection and Classification in High-Resolution Images Using Sahi Algorithm and Modern Neural Networks,” CEUR Workshop Proceedings, vol. 3909, 2024, pp. 387–403.
O. Bychkov, K. Merkulova, and Y. Zhabska, “Exploring Conditions of Image Samples Formation for Person Identification Information Technology,” CEUR Workshop Proceedings, vol. 3646, 2023, pp. 33–42.
O. Bychkov, Y. Zhabska, K. Merkulova, and M. Merkulov, “Research and Comparative Analysis of Person Identification Information Technology,” CEUR Workshop Proceedings, vol. 3538, 2023, pp. 54–64.
K. Merkulova and Y. Zhabska, “Input Data Requirements for Person Identification Information Technology,” CEUR Workshop Proceedings, vol. 3468, 2023, pp. 24–37.
K. Merkulova, Y. Zhabska, and I. Ivanenko, “Software for UAV Images Processing for Object Identification,” CEUR Workshop Proceedings, vol. 3687, 2023, pp. 25–34.
O. Bychkov, O. Ivanchenko, K. Merkulova, and Y. Zhabska, “Enhancement of Information Technology for Person Identification Based on Image Quality Features,” CEUR Workshop Proceedings, vol. 3347, 2022, pp. 1–10.
O. Bychkov, K. Merkulova, and Y. Zhabska, “Improvement of Information Technology for Person Identification for Usage in Energy Smart Systems,” in 2022 IEEE 8th International Conference on Energy Smart Systems (ESS), Kyiv, Ukraine: IEEE, Oct. 2022, pp. 199–203. doi: 10.1109/ESS57819.2022.9969307
O. Bychkov, K. Merkulova, and Y. Zhabska, “Information Technology for Person Identification by Occluded Face Image,” in 2022 IEEE 16th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), Lviv-Slavske, Ukraine: IEEE, Feb. 2022, pp. 147–151. doi: 10.1109/TCSET55632.2022.9766867
O. Bychkov, K. Merkulova, and Y. Zhabska, “Preprocessing Methods Study to Improve Information Technology for Person Identification by Occluded Image,” CEUR Workshop Proceedings, vol. 3309, 2022, pp. 66–76.
O. Bychkov, K. Merkulova, and Y. Zhabska, “Research of Image Preprocessing Methods for Enhancement of Information Technology for Person Identification,” in 2022 IEEE 9th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T), 2022, pp. 293–296. doi: 10.1109/PICST57299.2022.10238550
K. Merkulova and Y. Zhabska, “Investigating Methods of Input Data Preparation for Person Identification Information Technology,” in 2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT), 2022, pp. 495–498. doi: 10.1109/CSIT56902.2022.10000539
O. Bychkov, K. Merkulova, Y. Zhabska, and A. Shatyrko, “Development of Information Technology for Person Identification in Video Stream,” CEUR Workshop Proceedings, vol. 3018, 2021, pp. 70–80.
O. Bychkov, K. Merkulova, Y. Zhabska, and O. Stelmakh, “Information Technology for Chest XRay Images Analysis,” CEUR Workshop Proceedings, vol. 3179, 2021, pp. 167–179.
O. Bychkov, O. Ivanchenko, K. Merkulova, and Y. Zhabska, “Mathematical Methods for Information Technology of Biometric Identification in Conditions of Incomplete Data,” CEUR Workshop Proceedings, vol. 2845, 2020, pp. 336–349.
O. Bychkov et al., “Using Neural Networks Application for the Font Recognition Task Solution,” in 2020 55th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST), 2020, pp. 167–170. doi: 10.1109/ICEST49890.2020.9232788
O. Bychkov, K. Merkulova, and Y. Zhabska, “Information Technology of Person's Identification by Photo Portrait,” in 2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), 2020, pp. 786–790. doi: 10.1109/TCSET49122.2020.235542
G. P. Dimitrov et al., “Creation of Biometric System of Identification by Facial Image,” in 2020 3rd International Colloquium on Intelligent Grid Metrology (SMAGRIMET), 2020, pp. 29–34. doi: 10.23919/SMAGRIMET48809.2020.9263995
O. Bychkov, K. Merkulova, and Y. Zhabska, “Software Application for Biometrical Person's Identification by Portrait Photograph Based on Wavelet Transform,” in 2019 IEEE International Conference on Advanced Trends in Information Theory (ATIT), 2019, pp. 253–256. doi: 10.1109/ATIT49449.2019.9030462

Publications in professional scientific journals of Ukraine

Y. Zhabska, “Information Technology for Person Identification by Face Image in Conditions of Occlusion,” Energy and automation, vol. 2023, no. 1, 2023, doi: 10.31548/energiya1(65).2023.136
Y. O. Zhabska, “Study of input images parameters for improving person identification information technology,” Connectivity, vol. 164, no. 4, 2023, doi: 10.31673/2412-9070.2023.042030
K. Merkulova, Y. Zhabska, and O. Stelmakh, “Automated System of Lung Disease Diagnosis on X-Ray Images,” Energy and automation, vol. 59, no. 1, 2022, doi: 10.31548/energiya2022.01.060
O. Bychkov, K. Merkulova, and Y. Zhabska, “Creation of the Face Recognition System Based on Wavelet Transforms,” Problems of information technologies, no. 26, pp. 32–43, 2019, doi: 10.35546/2313-0687.2019.26.32-43
O.S. Bychkov, A.V. Shatyrko, K.V. Merkulova, Ye.O. Zhabska, “Technology of modeling and research of traumatic brain injury”, Scientific Notes of the State University of Information and Communication Technologies, No.2(4). 2023, p. 116-123. DOI: 10.31673/2518-7678.2023.021515

Scientific and international activities

Implementer of the international project Erasmus+ No. 2023-2-PL01-KA220-HED-0001179445 “The transferable training model – the best choice for training IT business leaders” (TransLeader), 2024-2027, in cooperation with the international consortium: University of Biała-Biała (Poland), University of Library Science and Information Technology (Bulgaria), University of Algarve (Portugal), IT company Rekord SI (Poland), https://tl.ubb.edu.pl/en/

Implementer of the international project Erasmus+ № 2020-1-PL01-KA203-082197 "Innovations for Big Data in a Real World" (iBIGworld), 2020-2022, in cooperation with the international consortium: University of Belsko-Biala (Poland), University of Library Science and Information Technology (Bulgaria), University of Nis (Serbia), http://ibigworld.ni.ac.rs
Performer of research work of the Department of Software Systems and Technologies of Kyiv National University on the topic No. 0121U113611 "Mathematical methods and software for big data analytics in the real world", 2020-2024.
Performer of research work of the Faculty of Information Technologies of Kyiv National University on the topic No. 24БП064-01М "Wireless Protected Mine/Mine Clearance and Monitoring System with Intelligent Control", 2024.

Rewards

Gratitude of Taras Shevchenko National University of Kyiv for significant achievements in educational, scientific and educational work and on the occasion of the 10th anniversary of the establishment of the Faculty of Information Technology, 2023
Gratitude of Taras Shevchenko National University of Kyiv for its significant contribution to the development of the scientific potential of the younger generation, high professionalism, high-quality training of the winners of the first round of the All-Ukrainian competition of student research papers in the fields of knowledge and specialties in the 2023/2024 academic year.

← All teachers