International Workshop on
Advances & Challenges in Computing (A2C)
A Regular meeting
Date: 17 June 2026 (Wednesday)
Time: 18:00-20:00 (East European time, Kyiv)
Format: Online
Place: LINK TO EVENT
Email: a2c.workshop@gmail.com
AGENDA:
- Speakers: Lesia Dubchak
- Speakers: Ihor Pitukh
- Information about research projects and conferences: Anatoliy Sachenko
1. Speaker: Lesia Dubchak
(Assoss.Prof., Cand.of Technical Sc.)
Head of the Department of Computer Engineering,
West Ukrainian National University
E-mail: dlo@wunu.edu.ua
Topic: Methods and means of creating computer systems for intelligent diagnostics for renewable energy
Presentation in Ukrainian
Abstract: The intelligent neuro-fuzzy system for monitoring and classification of defects in renewable energy facilities based on compact feature representations, convolutional neural networks and adaptive cascade architectures is proposed. The system is designed for real-time diagnostics of wind turbine blade and solar panel defects under conditions of noisy distortions, overlapping classes, limited datasets and restricted computational resources. The distinctive feature of the proposed approach is the use of a compact feature space produced by a modified convolutional neural network, thereby reducing computational complexity while preserving the informativeness and explainability of defect feature representations. Another feature of the proposed system is the integration of several intelligent classifiers, including the modified Wang–Mendel neuro-fuzzy network, the Fuzzy Brain-State-in-a-Box associative model and the Hypersector Fuzzy LVQ classifier. This makes it possible to combine high interpretability, robustness to noise, fast processing and high classification quality within a unified intelligent diagnostic system. The proposed approach also includes an adaptive cascade architecture and a cascade bagging-based architecture implemented in VHDL in the Active-HDL environment, which provides conditional activation and an adaptive weighted combination of classifiers depending on the confidence level and noise characteristics of the feature vector. The developed software and hardware-oriented tools were experimentally validated on real defect datasets and video streams. The proposed UAV-based intelligent monitoring system provides autonomous real-time diagnostics of renewable energy facilities with low memory consumption, high robustness and suitability for FPGA- and edge-oriented systems. The experimental results confirmed the correctness and practical efficiency of the proposed approach.
Resume: Lesia Dubchak received the master’s degree in computer systems and networks from Ternopil Academy of National Economy, Ternopil, in 2004, and the Ph.D. degree in computer systems and components from Ternopil National Economy University, in 2013. From 2003 to 2005, she was an Engineer with the Information Technology Center, Ternopil State Economic University. From 2005 to 2013, she was a Lecturer with the Department of Computer Engineering, Ternopil National Economic University. From 2013 to 2022, she was a Doctoral Assistant with the Department of Computer Engineering, Ternopil National Economic University. Since 2022, she has been the Head of the Department of Computer Engineering at West Ukrainian National University. She has been the author of more than 120 publications, including five monographs and chapters, more than 100 articles and conference papers, and three patents. Her research interests include the development of hardware for computers, fuzzy logic, and neuro-fuzzy systems. Dr. Dubchak was a member of the Scientist Section ‘‘Informatics and Cybernetics’’ of the Ministry of Education and Science of Ukraine, from 2022 to 2024. From 2025 she is an expert of the Ministry of Education and Science of Ukraine. She is the IEEE member.
2. Speaker: Ihor Pitukh
(Associate Professor., Ph.D.)
Associate Professor of Special Computer Systems Department,
West Ukrainian National University
E-mail: pirom75@ukr.net
Topic: Methods for synthesizing architectures of interactive distributed computer systems and their components
Presentation in Ukrainian
Abstract: The work is devoted to the development of the theory of synthesis, methodology and techniques for building interactive distributed computer systems. An approach to solving the problem of synthesizing the theory, methods and microelectronic technical means for building interactive computer systems has been developed. Methods for synthesizing theoretical provisions aimed at improving architectural and information data interactions in monitoring and dialog systems have been developed, which solves the problem of significantly improving the system characteristics of specialized computer tools, which are the basic components of distributed computer systems. The characteristics of the structure, speed and hardware complexity of the components have been improved, which allows optimizing the processes of formation, processing and exchange of data in distributed systems.
Resume: In 1997, Igor Pitukh graduated from the Ternopil Academy of National Economy. In 2004-2007, he studied full-time postgraduate studies at the Ivano-Frankivsk National Technical University of Oil and Gas, majoring in “Computers, Systems and Networks”. In October 2007, he successfully defended his PhD thesis on the topic: “Methods of organizing data movement in distributed computer systems based on matrix models” in the specialty 05.13.05 – Computers, Systems and Networks. From 2008 to 2012, he worked as an associate professor at the Department of Computer Systems and Networks at the Ivano-Frankivsk National Technical University of Oil and Gas. In 2012, he received the academic title of associate professor at the same department. Since 2013, he has been working at the West Ukrainian National University. His research interests include research and development of interactive distributed computer systems and their components. His scientific results are reflected in 126 scientific papers.
- Information about research projects and conferences: Anatoliy Sachenko
Doctor of Technical Sciences, Professor, scientific advisor of Research Institute for Intelligent Computer Systems.
E-mail: as@wunu.edu.ua