Prospective development plan of the department for 2021-2025
Areas of scientific activity of the department staff
The department’s research activities are focused on the following areas:
- theory and methods of data analysis in arbitrary systems;
- development of effective IT projects and programs for computerization of production;
- creation of advanced technologies for intelligent data analysis;
- design and development of computer information and analytical systems;
- design and development of expert systems for computer monitoring in economics, technology, and life sciences.
Scientific profile of the Department of Computer Science (click here):
| Citation indices | All | Starting from 2019 |
|---|---|---|
| Citation statistics | 6679 | 2460 |
| h-index | 44 | 26 |
| h-10 index | 145 | 80 |
Links for the year:
General information on the personal scientific profiles of the staff of the Department of Computer Science
Current projects in fundamental scientific research, scientific and technical (experimental) development
Two projects by researchers from our department won the competitive selection process for fundamental scientific research, applied scientific research, and scientific and technical (experimental) developments involving higher education institutions and scientific institutions under the jurisdiction of the Ministry of Education and Science of Ukraine in 2024.
– Yuriy Oleksandrovych Usenko (topic: “Development of a new portable laser polarization-fluorescence field system for rapid pre-medical diagnosis of septic complications in military personnel wounds”);
– Olar, Oleksandr Valeriyovych (topic: “Development of a new system of polarization correlometry of blood films for rapid determination of blood loss in wounded patients”).
List of scientific publications with students
In today’s rapidly developing and constantly changing world, the importance of students engaging in scientific work at the Department of Computer Science has become an integral part of their professional development. Studying current technologies and participating in scientific projects not only contributes to a deeper understanding of the subject, but also allows students to improve their skills in analysis, problem solving, and critical thinking. Collaboration with researchers and faculty members allows students not only to keep up with the latest trends in the field, but also to actively influence its development through their research and innovative ideas. The skills acquired in the course of scientific work become key to further success in the field of computer science, helping students not only solve technical problems but also become leaders in today’s information society.
The most significant series of publications in scientific periodicals by the staff of the Department of Computer Science
Series of publications in Modern Education and Computer Science Press
- Oleksandr Mediakov , Victoria Vysotska, Dmytro Uhryn, Yuriy Ushenko, Cennuo Hu, “Information Technology for Generating Lyrics for Song Extensions Based on Transformers”, International Journal of Modern Education and Computer Science(IJMECS), Vol.16, No.1, pp. 23-36, 2024. DOI:10.5815/ijmecs.2024.01.03 (фахове видання Scopus Q4)
- Liliya Diachenko, Edgar Vatamanitsa, Oleksandr Ushenko, Oleksandr Salega, Oleksandra Litvinenko, Zhengbing Hu, “Algorithms for Polarization-singular processing of Mueller-matrix images of Soft Tissues for Biomedical Applications”, International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.16, No.1, pp. 14-24, 2024. DOI:10.5815/ijigsp.2024.01.02 (фахове видання Scopus Q4)
- Yuriy Ushenko, Valentina Dvorzhak, Oleksandr Dubolazov, Oleksandr Ushenko, Ivan Mikirin, Zhengbing Hu, “Analytical and Computer Polarization-Correlation Processing of Brest Tumors’ Laser Fields for Cancer Detection”, International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.15, No.6, pp. 41-53, 2023. DOI: https://doi.org/10.5815/ijigsp.2023.06.04 (фахове видання Scopus Q4)
- Oleh Prokipchuk, Victoria Vysotska, Petro Pukach, Vasyl Lytvyn, Dmytro Uhryn, Yuriy Ushenko, Zhengbing Hu “Intelligent Analysis of Ukrainian-language Tweets for Public Opinion Research based on NLP Methods and Machine Learning Technology”, International Journal of Modern Education and Computer Science(IJMECS), Vol.15, No.3, pp. 70-93, 2023. https://doi.org/10.5815/ijmecs.2023.03.06 (фахове видання Scopus Q2)
- Vasyl Lytvyn, Olga Lozynska, Dmytro Uhryn, Myroslava Vovk, Yuriy Ushenko, Zhengbing Hu, “Information Technologies for Decision Support in Industry-Specific Geographic Information Systems based on Swarm Intelligence”, International Journal of Modern Education and Computer Science(IJMECS), Vol.15, No.2, pp. 62-72, 2023. https://doi.org/10.5815/ijmecs.2023.02.06 (фахове видання Scopus Q2)
- Dmytro Uhryn, Yuriy Ushenko, Vasyl Lytvyn, Zhengbing Hu, Olga Lozynska, Victor Ilin, Artur Hostiuk, “Modelling of an Intelligent Geographic Information System for Population Migration Forecasting”, International Journal of Modern Education and Computer Science(IJMECS), Vol.15, No.4, pp. 69-79, 2023. https://doi.org/10.5815/ijmecs.2023.04.06 (фахове видання Scopus Q2).
- Yuriy Ushenko, Ivan Gordey, Yuriy Tomka, Irina Soltys, Oksana Bakun, Zhengbing Hu, “Information Technology for Multiparametric Analysis of Laser Images of Biological Fluid Films in Biomedical Applications”, International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.15, No.5, pp. 77-87, 2023. https://doi.org/10.5815/ijigsp.2023.05.06 (фахове видання Scopus Q4).
Paper “Mueller-matrix imaging polarimetry elevated by wavelet decomposition and polarization-singular processing for analysis of specific cancerous tissue pathology“ in Journal of Biomedical Optics. We focus on the application of digital methods for analyzing and processing biomedical images.
The Journal of Biomedical Optics (JBO) is a prestigious publication dedicated to the application of optical technologies in biomedical research and medical diagnostics. It is published jointly by the Optical Society and the American Institute of Medical Optics and Equipment. The Journal of Biomedical Optics has been in publication since 1996, and over the years it has become an important tool for researchers and professionals in biomedical optics.
A series of monographs by SpringerBriefs (Scopus, Q4) on the use of digital information intelligence methods for data analysis in medicine and diagnostics
SpringerBriefs provide concise summaries of cutting-edge research and practical applications across a wide range of fields. With compact volumes ranging from 50 to 125 pages, the series covers a variety of content from professional to academic.
This series covers a wide range of topics and research areas, but the main areas covered by SpringerBriefs include:
- Science and technology
- Medicine and healthcare
- Engineering and technical sciences
- Social sciences
- Ecology and natural resources
- Economics and business
- Information technology and computer science
- Mathematics and statistics
- Physics and astronomy
- Chemistry and materials science
In particular, our achievements include:
- Zhengbing Hu , Yuriy A. Ushenko , Iryna V. Soltys , Oleksandr V. Dubolazov , M. P. Gorsky , Oleksandr V. Olar , Liliya Yu. Trifonyuk. Mueller-Matrix Tomography of Biological Tissues and Fluids. Digital Image Processing and Analysis Techniques. Springer Singapore, ISBN 978-981-99-8228-8 (Published: 03 January 2024). P. 115. https://doi.org/10.1007/978-981-99-8228-8
- V. L. Vasyuk, Andriy V. Kalashnikov, Victor V. Protsyuk, Yu. A. Ushenko, Alexander V. Dubolazov, A. G. Ushenko, Jun Zheng. Digital Information Methods of Polarization, Mueller-Matrix and Fluorescent Microscopy. Differential Diagnosis of Aseptic and Septic Loosening of Artificial Hip Endoprosthesis Cups. Springer Singapore, ISBN 978-981-99-4735-5 (Published: 16 August 2023), p. 102, https://doi.org/10.1007/978-981-99-4735-5.
- Zhengbin Hu, V. T. Bachinsky, O. Y. Vanchulyak, Iryna V. Soltys, Yu. A. Ushenko, A. G. Ushenko, Igor Meglinski. Phase Mapping of Human Biological Tissues. Data Processing Algorithms for Forensic Time of Death Estimation. Springer Singapore, ISBN 978-981-99-3269-6 (Published: 20 June 2023), p. 71, https://doi.org/10.1007/978-981-99-3269-6.
- Zhengbin Hu, I.L. Bezhenar, O.Y. Vanchulyak, A. G. Ushenko, Yu. A. Ushenko, Mykhailo P. Gorsky, Igor Meglinski. Laser Polarimetry of Biological Tissues. Computer Algorithms for Data Processing in Forensic Age Determination of Injuries. Springer Singapore, ISBN 978-981-99-1734-1 (Published: 15 May 2023), p. 99, https://doi.org/10.1007/978-981-99-1734-1.
- Lilia Trifonyuk, Iryna V. Soltys, Alexander G. Ushenko, Yuriy A. Ushenko, Alexander V. Dubolazov, Jun Zheng. Optical Anisotropy of Biological Polycrystalline Networks. Vector-Parametric Diagnostics. Springer Singapore, ISBN 978-981-99-1087-8 (Published: 29 May 2023), p. 93, https://doi.org/10.1007/978-981-99-1087-8.
Publications in Nature magazine!
Scientific Reports is a peer-reviewed, open-access mega-journal published by Nature Portfolio. Founded in 2011, the journal covers all areas of natural sciences. The founders of the journal set themselves the goal of evaluating only the scientific validity of submitted articles, rather than their probable importance, significance, or impact. In September 2016, the journal became the world’s largest in terms of the number of articles, surpassing PLOS ONE.
Publications in Springer!
SPRINGER NATURE is an international publishing house formed as a result of the merger of Springer Science+Business Media and Nature Publishing Group, one of the world’s largest publishers of influential academic and popular science books and journals.
Participation in editing leading scientific periodicals and professional publications
Usenko Yu.O. – Associate editor of the international scientific publication (SCOPUS) – International Journal of Image, Graphics and Signal Processing (IJIGSP)
International Journal of Image, Graphics and Signal Processing (IJIGSP)
ISSN: 2074-9074(Print), ISSN: 2074-9082 (Online)
DOI: 10.5815/ijigsp
Website: http://www.mecs-press.org/ijigsp
IJIGSP has been abstracted or indexed by several world class databases: Scopus, Google Scholar, Microsoft Academic Search, CrossRef, Baidu Wenku, IndexCopernicus, IET Inspec, EBSCO, JournalSeek, ULRICH’s Periodicals Directory, WorldCat, Scirus, Academic Journals Database, Stanford University Libraries, Cornell University Library, UniSA Library, CNKI Scholar, ProQuest, J-Gate, ZDB, BASE, OhioLINK, iThenticate, Open Access Articles, Open Science Directory, National Science Library of Chinese Academy of Sciences, The HKU Scholars Hub, etc.
Reviewing scientific publications in Elsevier publications
Scientists from the Department of Computer Science were honored with a certificate of recognition for their numerous reviews of articles in the prestigious Elsevier publication on the use of computer methods of intelligent data analysis in life sciences.
Completed research project grants
Competition “Support for Research by Leading and Young Scientists” of the National Research Fund of Ukraine
Many serious diseases can be overcome—all that is needed is to diagnose them at an early stage and prescribe the right treatment. New methods and devices for early diagnosis are being developed by scientists at Yuriy Fedkovych Chernivtsi National University. Their project, “New methods and systems for multifunctional Mueller matrix polarization and fluorescence tomography of micro- and nanostructures of biological crystal networks,” won the National Research Foundation of Ukraine’s “Support for Research by Leading and Young Scientists” competition and received grant funding before the war. (Publication)
The Department of Computer Science has completed another Grant from the President of Ukraine!
Thanks to the entire staff of the Department of Computer Science and colleagues from the Departments of Mathematical Control and Cybernetics and Computer Systems and Networks, a great deal of work has been done within the framework of the research project “Multiparametric methods of differential Mueller matrix tomography of optically anisotropic layers of biological tissues and fluids.” This project was carried out with the support of the Ministry of Education and Science of Ukraine and the State Fund for Fundamental Research. The main idea was to use information methods of optical image analysis for the early diagnosis of diabetes in humans.
