Taras V. Panchenko
Taras V. Panchenko
Associate Professor

Information

Position: Associate Professor
Degree: Candidate of Physical and Mathematical Science
Title: Associate Professor
Room: 601
Phone: (044)521-33-45
E-mail: taras.panchenko@knu.ua
Research interests: compositional methods, Internet technologies, database

Courses:

Modern Operating Systems

Web Technologies

System Programming

Mobile Operating Systems

Business Analytical Systems Development

Unix-Like Operating Systems

Publications:

  1. Panchenko T. Quality of Concurrent Shared Memory Programs / T. Panchenko, S. Fabunmi // International Conference on the Quality of Information and Communications Technology QUATIC 2018 (Portugal, Coimbra, 4-7.09.2018). – 2018. – P. 299-300.
  2. Panchenko T. Compositional-nominative Approach to the Client-server Systems Properties Proofs within Different Formal Execution Models / T. Panchenko, O. Shyshatska, L. Omelchuk, N. Rusina, S. Fabunmi // 2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering, UKRCON 2019. – Kyiv: IEEE, 2019. – pp. 1122-1126.
  3. Panchenko T. Open Data Platform Architecture and its Advantages for an Open E-Government / T. Panchenko, M. Alhawawsha // Advances in Computer Science for Engineering and Education (Advances in Intelligent Systems and Computing Series, Z.B. Hu, S. Petoukhov, I. Dychka, M. He Eds.). – Springer, 2021. – Issue 1247. – pp. 631-639.
  4. Panchenko T. ECG Analysis with High Precision and Recall / A. Yavorskii, T. Panchenko, B. Tyshchenko // In Proc.: Problems of Decision Making under Uncertainties (PDMU-2021). – Skhidnytsia, Ukraine. – 2021. – p. 78-79.
  5. Panchenko T. Efficient ECG Analysis with High F1 Score and Low Computation Complexity / A. Yavorskyi, B. Tyshchenko, T. Panchenko // The 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS’2021). – Cracow, Poland. – 2021. – P. 348-352.
  6. Panchenko T. An Approach to Scene Change Detection / I. Bieda, A. Kisil, T. Panchenko // The 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS'2021). – Cracow, Poland. – 2021. – P. 489–493.
  7. Panchenko T. A Systematic Mapping Study on Artificial Intelligence Tools Used in Video Editing / I. Bieda, T. Panchenko // International Journal of Computer Science and Network Security. – 2022. – Vol.22. – No.3. – P. 312-318.
  8. Panchenko T. Effective Methods for Heart Disease Detection via ECG Analyses / A. Yavorsky, T. Panchenko // International Journal of Computer Science and Network Security. – 2022. – Vol.22. – No.5. – P. 127-134.
  9. Bieda I. A Comparison of Scene Change Localization Methods over the Open Video Scene Detection Dataset / I. Bieda, T. Panchenko // International Journal of Computer Science and Network Security. – 2022. – Vol.22. – No.6. – P. 1-6.
  10. Panchenko T. Electrocardiogram Effective Analysis Based on the Random Forest Model with Preselected Parameters / A. Yavorskyi, T. Panchenko, Zh. Hu // Lecture Notes on Data Engineering and Communications Technologies. – 2022. – Vol. 135. – P. 137-145.
  11. Panchenko T. An Effective Approach to Image Embeddings for E-Commerce / Kubytskyi V., Panchenko T. // 4th International Scientific Conference "Information Technology and Implementation" (IT&I 2022, Virtual, Online, Nov., 30 – Dec., 2 2022), CEUR Workshop Proceedings. – 2022. – Volume 3347. – pp. 341–349.
  12. Panchenko T. Enriched Image Embeddings as a Combined Outputs from Different Layers of CNN for Various Image Similarity Problems More Precise Solution / Kubytskyi V., Panchenko T. // In: Hu, Z., Zhang, Q., He, M. (eds) Advances in Artificial Systems for Logistics Engineering III. The International Conference on Artificial Intelligence and Logistics Engineering (ICAILE 2023). Lecture Notes on Data Engineering and Communications Technologies. – Springer Nature Switzerland, Cham. – 2023. – Vol. 180. – pp. 321–333.
  13. Panchenko T. Neural Networks-Based Method for Electrocardiogram Classification / M. Kovalchuk, V. Kharchenko, A. Yavorskyi, I. Bieda, T. Panchenko // International Journal of Computer Science and Network Security. – 2023. – Vol.23. – No.9. – P. 186–191.