Head of Department of Computer Engineering at West Ukrainian National University, Ukraine
Lesia Orestivna Dubchak 🇺🇦 is a distinguished Ukrainian scholar and educator in computer engineering, with a vibrant career marked by innovation, pedagogy, and scientific excellence. With dual honors degrees in Mathematics and Computer Systems 🎓, she has risen from engineer to Head of the Department of Computer Engineering at ZUNU 🏫. Her research delves into intelligent computing, emphasizing fuzzy logic, cybersecurity 🔐, and machine learning 🤖. With over 100 scholarly outputs, including 30+ Scopus and WoS-indexed articles, Lesia has shaped both the academic and research landscapes. Her teaching repertoire spans cutting-edge subjects from FPGA programming to data protection systems 💻. Passionate about student development and scientific rigor, she has mentored many through theses and research endeavors. Her intellectual contributions and departmental leadership demonstrate her unwavering commitment to technological progress and academic distinction 🏅.
Professional Profile
🎓 Education
Lesia Dubchak’s academic journey showcases her commitment to excellence and interdisciplinary knowledge. In 2003, she earned her first honors degree from Ternopil State Pedagogical University in Mathematics and Informatics 🧮. The following year, she graduated with distinction from the Master’s Training Center of the Ternopil Academy of National Economy 🏛️, specializing in Computer Systems and Networks. These foundational achievements laid the groundwork for her future pursuits in advanced computing and digital security. Her educational background seamlessly blends logic, pedagogy, and technical precision, equipping her with the analytical and instructional skills vital for her academic and professional journey 📘. This dual-track education empowered her to effectively bridge theoretical computer science with applied informatics, a synergy that continues to define her career as a scholar, educator, and department leader 🚀.
💼 Professional Experience
Lesia’s professional path has been both steady and inspiring. Beginning in 2002 as an engineer at ZUNU’s Regional Computer Center 🖥️, she quickly transitioned into research and lecturing roles. From 2003 to 2013, she served as a Lecturer in the Department of Computer Engineering, showcasing her natural aptitude for teaching and research 📚. Promoted to Senior Lecturer in 2013 and then Associate Professor by 2015, she consistently demonstrated leadership and academic excellence. Since 2022, she has led the Department of Computer Engineering as its Head, shaping its strategic direction and academic agenda 🎓. Her career reflects a harmonious blend of administrative leadership and academic dedication, with each position building upon the last. Through continuous service, she has fostered an environment that values both rigorous research and student empowerment 🔍.
🔬 Research Interest
Lesia Dubchak’s research is anchored in intelligent data systems, with a primary focus on fuzzy logic applications in cybersecurity and access control systems 🔐. Her PhD work, centered on access control mechanisms using fuzzy logic, reveals a nuanced understanding of how ambiguity and uncertainty can be systematically managed within computer systems 🤖. Her contributions extend into the realms of image processing, information protection, parallel computing, and machine learning, areas critical to emerging technological challenges 📊. With participation in numerous state and contract-funded projects, she demonstrates not only theoretical knowledge but also practical innovation 🧠. Her interdisciplinary approach allows her to integrate algorithmic efficiency with human-centric security models, making her work highly relevant in the era of digital transformation and artificial intelligence 🌐.
🏆 Awards and Honors
Lesia has been recognized throughout her career for her academic integrity, research innovation, and teaching excellence 🎖️. Her PhD defense in 2013 marked a pivotal scholarly achievement, while the awarding of her Associate Professor title in 2021 confirmed her as a leading voice in Ukrainian computer engineering education 🎓. She has authored 102 scientific works, with 30+ indexed in Scopus and Web of Science, a rare feat indicating both impact and international recognition 🌍. In addition, she holds authorship in textbooks, monographs, and even a patent, reinforcing her role as a pioneer in applied computing. Her continued involvement in major research projects and curriculum development highlights her as a respected academic and innovator in her field 💼. These accolades reflect both depth and breadth in her contributions to science and education 🥇.
📚 Publications Top Note
1. High Performance Adaptive System for Cyber Attacks Detection
-
Authors: M. Komar, V. Kochan, L. Dubchak, A. Sachenko, V. Golovko, S. Bezobrazov
-
Year: 2017
-
Citations: 34
-
Source: 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS)
-
Summary:
This paper presents an adaptive system for detecting cyberattacks in real-time. The system uses intelligent methods, including machine learning and data analysis, to adaptively identify and react to threats. It is aimed at improving cybersecurity for critical systems by reducing false positives and increasing detection accuracy.
2. Guidelines for Coursework, Internships, and Thesis Preparation for Computer Engineering Students
-
Authors: I. V. Hural, L. O. Dubchak
-
Year: 2019
-
Citations: 30
-
Source: Ternopil National Economic University (TNEU)
-
Summary:
This is a methodological guide intended for students of computer engineering. It outlines the standards and formatting rules for writing coursework, internship reports, and final qualification papers, aiming to unify academic writing practices.
3. Telemedicine: Current Status and Development Prospects
-
Author: L. O. Dubchak
-
Year: 2017
-
Citations: 27
-
Source: Systems of Information Processing
-
Summary:
The article reviews the state of telemedicine technologies and outlines potential future trends. It discusses how remote healthcare services can be improved through ICT advancements, especially in diagnostics and real-time monitoring.
4. Fuzzy Data Processing Method
-
Authors: L. Dubchak, N. Vasylkiv, V. Kochan, A. Lyapandra
-
Year: 2013
-
Citations: 24
-
Source: IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems
-
Summary:
This paper proposes a method for processing fuzzy (uncertain or imprecise) data using a modified algorithm that enhances decision-making processes. It’s especially relevant for systems that involve human-like reasoning under uncertainty.
5. Fuzzy System for Breast Disease Diagnosing Based on Image Analysis
-
Authors: O. Berezsky, L. Dubchak, N. Batryn, K. Berezska, O. Pitsun, Y. Batko, …
-
Year: 2019
-
Citations: 21
-
Source: CEUR Workshop Proceedings
-
Summary:
This study introduces a fuzzy logic-based system that aids in diagnosing breast diseases from medical images. It helps interpret complex visual data, improving the reliability and speed of diagnosis in telemedicine.
6. Access Distribution in Automated Microscopy System
-
Authors: O. Berezsky, L. Dubchak, O. Pitsun
-
Year: 2017
-
Citations: 19
-
Source: 14th International Conference “The Experience of Designing and Application of CAD Systems in Microelectronics”
-
Summary:
The paper focuses on secure access control mechanisms within automated microscopy systems, crucial for medical data privacy and accurate diagnostics. It includes layered access based on user roles.
7. Fuzzy System Diagnosing of Precancerous and Cancerous Conditions of the Breast
-
Authors: O. Berezsky, S. Verbovyy, L. Dubchak, T. Datsko
-
Year: 2016
-
Citations: 19
-
Source: XIth International Scientific and Technical Conference on Computer Sciences and Information Technologies
-
Summary:
This work explores a fuzzy system to differentiate between precancerous and cancerous conditions in breast tissues. It uses data-driven modeling to enhance early diagnosis capabilities.
8. Modern Automated Microscopy Systems in Oncology
-
Authors: O. Pitsun, N. Batryn, T. Datsko, K. Berezska, L. Dubchak, O. Berezsky
-
Year: 2018
-
Citations: 16
-
Source: CEUR Workshop Proceedings
-
Summary:
This paper reviews modern microscopy tools used in cancer diagnostics. The team discusses improvements in image clarity, automation, and diagnostic integration with hospital systems.
9. Implementation Technology Software-Defined Networking in Wireless Sensor Networks
-
Authors: M. B. Aleksander, L. Dubchak, V. Chyzh, A. Naglik, A. Yavorski, N. Yavorska, …
-
Year: 2015
-
Citations: 15
-
Source: IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems
-
Summary:
This study applies SDN (Software-Defined Networking) principles to wireless sensor networks. It emphasizes dynamic configuration, better scalability, and energy efficiency in IoT and cyber-physical systems.
10. Fuzzy System of Diagnosing in Oncology Telemedicine
-
Authors: O. Berezsky, S. Verbovyy, L. Dubchak, T. Datsko
-
Year: 2017
-
Citations: 13
-
Source: Sensors & Transducers, Vol. 208(1), pp. 32
-
Summary:
This research applies fuzzy logic to telemedicine platforms, particularly for oncology. It improves remote diagnosis quality by handling uncertainty in patient data and test results.
11. Methods, Algorithms, and Software for Biomedical Image Processing
-
Authors: O. Berezsky, Y. Batko, K. Berezka, S. Verbovyy, T. Datsko, …
-
Year: 2017
-
Citations: 12
-
Source: Institutional monograph (likely in Ukrainian)
-
Summary:
This publication discusses computational techniques used to process biomedical images. It highlights fuzzy and neural network approaches used in pattern recognition and anomaly detection.
12. Fuzzy Data Processing Method Based on Mamdani Mechanism
-
Author: L. O. Dubchak
-
Year: 2012
-
Citations: 12
-
Source: Systems of Information Processing
-
Summary:
The paper proposes a method to process fuzzy data using the Mamdani inference mechanism. This method enhances the interpretation of ambiguous information in decision-making systems.
13. Method of Fuzzy Information Processing
-
Author: L. O. Dubchak
-
Year: 2012
-
Citations: 12
-
Source: Bulletin of the East Ukrainian National University named after V. Dal
-
Summary:
An in-depth presentation of a technique for managing fuzzy information, particularly in systems with uncertainty. It is relevant for diagnostics, forecasting, and control systems.
✅ Conclusion
Lesia Orestivna Dubchak exemplifies a rare blend of scholarly brilliance, technical expertise, and leadership acumen 🌟. From her dual honors education to her rise as department head, she has steadily built a legacy rooted in excellence and innovation. Her contributions to fuzzy logic, cybersecurity, and data systems resonate across classrooms and research labs alike 💡. As a mentor, she cultivates curiosity; as a leader, she drives progress. Her prolific output and continuous dedication to scientific discovery mark her as an influential figure in the global academic community 🌐. In conclusion, Lesia’s journey is a testament to how commitment to learning, innovation, and purposeful leadership can shape the future of technology and education 🚀.