Anzhelika Parkhomenko, M.Sc.

Research and practical implementation of a framework for teaching students the development of a Virtual Laboratory

Framework for the Online Education with the Distributed Educational Resources

Research on enhancing power generation forecasts with real-time machine learning models

Implementation of an Industry 4.0 module in the international educational project ERASMUS+ WORK4CE

Energy efficient cognitive wireless sensor network for loud noise detection

Challenges and Approaches to the Artificial Intelligence in Education

A. Yatsenko, A. Parkhomenko, C. Wolff, A. Tulenkov, and A. Parkhomenko, “Investigation of Hardware-Software Solutions for an Energy-Efficient Wireless Sensor Network,” in 2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2023, pp. 385–390.

G. Tabunshchyk, A. Parkhomenko, S. Subbotin, A. Karpenko, O. Yurchak, and E. Trotsenko, “Work-in-Progress: Framework for Academia-Industry Partnership in Ukraine,” in Learning in the Age of Digital and Green Transition Proceedings of the 25th International Conference on Interactive Collaborative Learning (ICL2022), Volume 2, 2023, pp. 938–945.

A. Yatsenko, C. Wolff, A. Parkhomenko, and A. Tulenkov, “Methods and Tools for Minimizing the Power Consumption of Wireless Sensor Network,” in 2023 IEEE European Technology and Engineering Management Summit (E-TEMS), 2023, pp. 122-127,.

Design models of bit-stream online-computers for sensor components

Adaptive filtering and machine learning methods in noise suppression systems, implemented on the SoC