Roman Shuvar

Position: Chairperson, System Design Department

Scientific degree: Candidate of Physical and Mathematical Sciences

Academic status: Associate Professor

Phone (office): (032) 239 46 77

Email: roman.shuvar@lnu.edu.ua

Google Scholar profile: scholar.google.com

ORCID profile: orcid.org

Scopus profile: www.scopus.com

Web of Science (Publons) profile: www.researcherid.com

Research interests

High-performance computing.
Data science.
Machine learning.
Technologies of artificial intelligence.

Courses

Publications

Author and co-author of over 50 articles.

Mysiuk I. Automating Web Scraping of User Comments for Sentiment Analysis in Social Networks / I. Mysiuk and R. Shuvar // 2023 IEEE 13th International Conference on Electronics and Information Technologies (ELIT) – Lviv, Ukraine, 2023 – P. 77–81 . doi: 0.1109/ELIT61488.2023.10310867.

Mysiuk I. “Category Classification of Content from Instagram Business Pages / I. Mysiuk, R. Mysiuk, R. Shuvar, V. Yuzevych, V. Hudyma and Y. Vizniak // 2023 13th International Conference on Advanced Computer Information Technologies (ACIT) – Wrocław, Poland. – 2023. – P. 570-573, doi: 10.1109/ACIT58437.2023.10275458.

Mysiuk I. Detection of unnatural user behavior in social networks using machine learning technologies / I. Mysiuk, R. Shuvar // Electronics and information technologies – 2023 – Issue 22. – P. 46–56. DOI:10.30970/eli.22.5

Mysiuk I. Collecting and analyzing news from newspaper posts in Facebook using machine learning / Mysiuk I., Mysiuk R., Shuvar R. // Artificial Intelligence – 2023 – Vol.28(1) – P. 147-154/ DOI:10.15407 /jai2023.01.147

M. Lyashkevych, V. Lyashkevych and R. Shuvar, “Risks’ Attribute Values Evaluation in Software Engineering by Monte Carlo Simulation,” 2023 IEEE 13th International Conference on Electronics and Information Technologies (ELIT), Lviv, Ukraine, 2023, pp. 137-141, DOI: 10.1109/ELIT61488.2023.

M. Lyashkevych. Content management system with markup ontology / M. Lyashkevych, V. Lyashkevych, R. Shuvar // Science, Software Engineering and Cyber Security. – Issue 1. – 2022. – P. 58-64. – DOI: https://doi.org/10.32782/it/2023-1-9

Lyashkevych M. Get a list of feature extractors based on feature importance techniques /M. Lyashkevych, V. Lyashkevych, R. Shuvar // Electronics and information technologies. 2022. Issue 20. P. 51–61. – DOI: https://doi.org/10.30970/eli.20.6

Mysiuk I., Mysiuk R., Shuvar R., Yuzevych V. Methods of analytics of big data of popular electronic newspapers on facebook// Electronics and information technologies. – 2022. – Vol. 19. – P. 66–74 DOI:10.30970/eli.19.6

P. Kulyk, I. Shcherbak, O. Kaskun, R. Shuvar, Effective mind mapping and its implementation using NoSQL database technologies, ISSN 2224-087X. Electronics and information technologies. 2021. Issue 15. P. 3–15 Electronics and information technologies. 2021. Issue 15. P. 3–15 DOI: https://doi.org/10.30970/eli.15.1

Shuvar R.Ya. Information technologies and threats in cyber-physical systems for displaying information in underground metal structures with defects / A.M. Prodyvus, V.M. Yuzevych, I.V. Okhirko, O.I. Okhirko, R.T. Kovtko, R.V. Mysyuk // Artificial intelligence 2021 No. 1 (91), 2021, Kyiv, Ukraine, p.85–94. DOI:10.15407/jai2021.01.085

Parubochyi V. O. Performance Evaluation of Self-Quotient Image Methods / V. O. Parubochyi, R. Y. Shuvar // Ukrainian Journal of Information Technologies, 2020. – Volume 2. – Number 1. P. 8–14. DOI: https://doi.org/10.23939/ujit2020.02.008

Kaskun O. Face emotion recognition with convolutional neural network / O. Kaskun, R. Shuvar, A. Prodyvus // Electronics and information technologies. – 2020. – Issue 13. – P. 38–49. DOI: https://doi.org/10.30970/eli.13.4

Kushnir V. In game map generation using random pattern generation/ V. Kushnir, B. Koman, R. Shuwar // Electronics and information technologies. – 2020. – Issue 13. – P. 77 – 87. DOI: https://doi.org/10.30970/eli.13.1

V.O. Parubochyi, R. Y. Shuvar. Normalization Modifications for Fast Self-Quotient Image Method // 2019 XIth International Scientific and Practical Conference on Electronics and Information Technologies (ELIT), IEEE Ukraine Section; Proceedings. September 16-18 2019, Lviv, Ukraine, – P. 179-182. DOI: https://doi.org/10.1080/13682199.2018.1517857

V. O. Parubochyi, R. Y. Shuwar. Fast self-quotient image method for lighting normalization based on modified Gaussian filter kernel // The Imaging Science Journal. – 2018. – 66(8). – P. 471-478. DOI: https://doi.org/10.1080/13682199.2018.1517857

V. O. Parubochyi, R. Y. Shuwar, D. M. Afanassyev. Spectrum transformation of the restored signal with regular and irregular sampling // Electronics and information technologies. – 2018. – Issue 9. – P. 78-85. DOI: 8.30970/eli.9.78

O.V. Vashchuk, R.Y. Shuwar. Pros and cons of the proof-of-stake consensus algorithm. Difference in the network safety in proof of work and proof of stake // Electronics and information technologies. – 2018. – Issue 9. – P. 106-112. DOI: 10.30970/eli.9.106

Biography

1982 р. – graduate State Ivan Franko University of Lviv with honors

Has been working at National Ivan Franko University of Lviv since 1982.

1985 – 1988 – postgraduate study.

1989 – Candidate of Physical and Mathematical Sciences

1988 – 1994 – Assistant Professor.

1994 – till now – Associate Professor.

2016 – 2018 – Acting Chairperson of the System Design Department of the Faculty of Electronics and Computer Technologies

2018 – till now – Chairperson of the System Design Department of the Faculty of Electronics and Computer Technologies

 

Projects

Scientific supervisor of the topic within the working hours of teachers. State registration number: 0122U200688. “Systematic data analysis by means of artificial intelligence and machine learning”. 2022 – 2024.

Supervisor of the economic contractual topic. State registration number: 0121U114372/ “Research and educational hub of artificial intelligence technologies “AIT Research & Learning HUB”. 2021 р.

Scientific supervisor of the topic within the working hours of teachers. State registration number: 0119U002409. “Data analysis by means of machine learning”. 2019 – 2021.

Scientific adviser of the topic within the working hours of teachers. State registration number: 0116U001683. “Parallel algorithms for extracting informative elements of raster images”. 2016 – 2018.

Supervisor of the topic within the working hours of teachers. State registration number: 0111U005535. “Algorithms for processing remote sensing data for their use in geographic information systems”. 2013 – 2015.

Supervisor of the economic contractual topic Se 16-08 “Development of the project of software and hardware complex for mobile content management”. 2008 р.

Schedule

Page with teachers schedule not found!