International Workshop
Advances & Challenges in Computing (A2C)
A Regular meeting
Date: 17 December 2025 (Wednesday)
Time of event: 18:00-20:00 (East European time, Kyiv)
Place: online
Email: a2c.wokshop@gmail.com
AGENDA:
- Speaker: Oleksiy Lutsyk
- Speaker: Andrii Topalov
- Information about research projects and conferences: Anatoliy Sachenko
- Speaker: Oleksiy Lutsyk
Ph.D., Research Scientist in department of Methods and Systems for Processing, Analysis, and Identification of Images at the Physic and Mechanical Institute of the National Academy of Sciences of Ukraine.
E-mail: olutsyk@yahoo.com
Topic: Optimization of training datasets in neural network learning tasks.
Presentation in Ukrainian
Abstract: This work explores approaches for feature extraction, dataset optimization, and efficient model training in image recognition and classification tasks. The proposed methods focus on transforming raw image data into compact and informative representations that can be effectively utilized by machine learning and deep learning algorithms. Techniques for reducing the size of training datasets while maintaining their informativeness are discussed, along with strategies for improving the balance, coverage, and quality of data samples. By applying statistical and stochastic modeling frameworks, the approaches allow more efficient analysis, enhance model generalization, and reduce computational requirements. The results demonstrate the potential of these methods to improve training efficiency, support real time processing, and provide for the development of more robust and adaptive recognition systems. The work also highlights opportunities for further research in dataset preparation, adaptive feature representation, and machine learning techniques for complex image analysis problems.
Resume: In 2005, Oleksiy Lutsyk graduated with honour from Lviv Franko National University, Specialization: Radio physics. In 2014, he defended his Ph.D. thesis in Information Technology at the Ternopil National Economic University. From 2005 to present – Researcher in the Department of Methods and Systems for Processing, Analysis, and Identification of Images, Karpenko Physico-Mechanical Institute, National Academy of Sciences of Ukraine. His research interests encompass advanced signal and image processing, 3D image reconstruction, pattern recognition, neural networks, machine learning, big data analytics, and the development of high-performance algorithms for real-time processing. He is particularly focused on creating efficient computational methods and intelligent systems capable of operating under resource-constrained conditions and in environments with high levels of noise and uncertainty. He is the author of 68 scientific publications, including conference papers, journal articles, and research results indexed in leading international databases. His work has been presented at national and international research forums. In addition to articles, he is also a co-author of two academic books.
- Speaker: Andrii Topalov
Associate professor, Ph.D. in computer systems and components,
Admiral Makarov National University of Shipbuilding
E-mail: topalov_ua@ukr.net
Topic: Methods for information flows creation and digital twins models of port infrastructure
Presentation in Ukrainian
Abstract: The study examines modern technologies, including artificial intelligence, the Internet of Things, automation and robotics, big data, and digital twins. For each of these technologies, the areas of practical application in ports, the expected benefits of implementation, and the levels of integration into management systems—ERP, MES, SCADA, and SSB—are defined. It is summarized that artificial intelligence plays a key role in forecasting demand for logistics services, enabling more accurate planning of cargo flows, estimating vessel arrival times, and optimizing port service schedules based on historical and real-time data analysis. Internet of Things technologies provide round-the-clock monitoring of the technical condition of port equipment, containers, handling machinery, as well as environmental parameters. Blockchain technologies enable the creation of a secure and transparent document management system that ensures reliable recording of all transactions within the supply chain, including cargo movements, customs clearance, and insurance. Automation and robotics significantly reduce dependence on the human factor, especially in high-load operations such as container sorting, crane control, and autonomous transportation within the port area. Big data allows for in-depth analysis of port activities, including processing information from various sources. The digital twin technology, which reflects a virtual copy of a real object or process, enables simulation modeling of port operations, scenario testing, optimization of logistics schemes, and efficient management of infrastructure resources. The proposed table visualizes the relationship between the technologies and management levels, taking into account the specifics of port operations.
Resume: In 2014, Andrii Topalov graduated with excellence from the Admiral Makarov National University of Shipbuilding, obtaining his M.Sc. in Automation at the Institute of Automation and Electrical Engineering, and in 2020 he defended his Ph.D. thesis in Computerized Control Systems at Odessa National Polytechnic University. Since 2016, he has been a lecturer at the Department of Computerized Control Systems of the Admiral Makarov National University of Shipbuilding, and from 2024 he has served as a lecturer at the Drones Department of the Kyiv School of Economics. Since 2020, he has also worked as a research assistant at the Institute of Environment and Energy Conservation Problems, contributing to state-funded research projects in intelligent monitoring and control systems, mobile robotics, automation of complex technical objects, and innovative technologies for shipbuilding. His research interests include automated control systems, sensor and IoT systems, intelligent robotic platforms, fuzzy logic, stabilization of floating structures, and the development of advanced monitoring and control algorithms. Since 2024, he has been Editor-in-Chief of the scientific journal Methods and Devices of Quality Control. Dr. Topalov is the author of numerous scientific papers indexed in Scopus and Web of Science (h-index Scopus: 11; WoS: 5), as well as several monograph chapters, and holds multiple Ukrainian patents in robotics, ship systems automation, and intelligent measurement technologies. His scientific achievements have been recognized by national awards, including the Prize of the President of Ukraine for young scientists (2024) and the Prize of the Verkhovna Rada of Ukraine (2021), along with multiple institutional distinctions for contributions to research, education, and technological innovation.
- 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