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Work experience

Associate Professor of the Computer Systems and Networks Department

from 08.2002 to now (23 years 9 months)
Yuriy Fedkovych Chernivtsi National University, Чернівці (IT)

• Conducted research in the areas of "Knowledge extraction from diagnostic information", "Intelligent diagnostics of computer tools and their components" using artificial intelligence, data mining, and ontological engineering.
• Participated in research projects related to ontologies, production rules, data and knowledge extraction and processing in databases and knowledge repositories, genetic algorithms, template methods, NLP, ML/DL. Supervised scientific research for bachelors, masters, and young scientists.

Education

Khmelnytskyi National University

Кафедра комп’ютерної інженерії та системного програмування, Хмельницький
Higher, from 2005 to 2010 (5 years)

Doctor of Philosophy - PhD, Computer Science

Activities and societies: Dissertation materials were presented in 11 scientific publications and 6 thematic conferences.

The thesis was defended on 1.07.2010 at Ternopil National Economic University, Ternopil, Ukraine.Activities and societies: Dissertation materials were presented in 11 scientific publications and 6 thematic conferences. The thesis was defended on 1.07.2010 at Ternopil National Economic University, Ternopil, Ukraine.

Ontology, new intelligent methods, and a model of the process for intelligent diagnostics of computer tools have been developed, which enable the selection of diagnostic knowledge arrays from the knowledge base for use in intelligent diagnostic systems. The proposed intelligent methods of representing knowledge in a single formalism (model) ensure the reuse of knowledge from the knowledge repository. The results of experimental studies confirmed that the use of the developed software tools enabled a 27.5% increase in the efficiency of diagnosing computer tools and their components during operation.

Additional education and certificates

Data Analyst

Apr 2025 - Jan 2026
Certificate

Knowledge and skills

• Стресостійкість
• SQL
• Python
• Tableau
• MS Power BI
• MS Excel
• Google Sheets
• A/B testing
• Data Entry
• Data preprocessing
• Data Vizualization

Language proficiencies

English — average