Картка викладача (CV)

Рік народження: 1977
Науковий ступінь: немає
Наукове звання: немає
Контакти
Тимощук Дмитро Іванович
Старший викладач
Освіта
  • магістр • Не вказано
    TNTU
Кваліфікаційні сертифікати
Публікації
Опубліковано: наукових статей – 22, тез доповідей – 16
Перелік основних наукових та методичних праць:
  • Humeniuk, H.; Tymoshchuk, D.; Sverstiuk, A. Soil quality classification from chemical composition using machine learning methods with shap-based explanation. Environmental Challenges 2026, 101404. DOI: 10.1016/j.envc.2025.101404
  • Tymoshchuk, D.; Didych, I.; Maruschak, P.; Yasniy, O.; Mykytyshyn, A.; Mytnyk, M. Machine learning approaches for classification of composite materials. Modelling 2025, 6 (4), 118. DOI: 10.3390/modelling6040118
  • Tymoshchuk, D.; Yasniy, O.; Didych, I.; Maruschak, P.; Lapusta, Y. Prediction of SMA hysteresis behavior: A deep learning approach with explainable AI. Computers, Materials & Continua 2026, 1–10. DOI: 10.32604/cmc.2026.077062
  • Tymoshchuk, D.; Yasniy, O. AutoML with explainable AI analysis: Optimization and interpretation of machine learning models for the prediction of hysteresis behavior in shape memory alloys. Engineering Proceedings 2026, 124 (1), 4. DOI: 10.3390/engproc2026124004
  • Tymoshchuk, D.; Yasniy, O.; Didych, I.; Maruschak, P.; Lutsyk, N. Recurrent neural networks with integrated gradients explanation for predicting the hysteresis behavior of shape memory alloys. Sensors 2025, 26 (1), 110. DOI: 10.3390/s26010110
  • Tymoshchuk, D.; Yasniy, O.; Didych, I.; Stanko, A.; Medvid, V. Prediction of SMA hysteresis behavior by ensemble stacking machine learning model with SHAP-based explanation. Progress in Engineering Science 2026, 100237. DOI: 10.1016/j.pes.2026.100237
  • Tymoshchuk, D.; Yasniy, O.; Maruschak, P.; Iasnii, V.; Didych, I. Loading frequency classification in shape memory alloys: A machine learning approach. Computers 2024, 13 (12), 339. DOI: 10.3390/computers13120339
  • Tymoshchuk, D.; Yatskiv, V. Using hypervisors to create a cyber polygon. Measuring and Computing Devices in Technological Processes 2024b, (3), 52–56. DOI: 10.31891/2219-9365-2024-79-7
  • Tymoshchuk, D.; Yatskiv, V.; Tymoshchuk, V.; Yatskiv, N. Interactive cybersecurity training system based on simulation environments. Measuring and Computing Devices in Technological Processes 2024, (4), 215–220. DOI: 10.31891/2219-9365-2024-80-26
  • Yasniy, O.; Maruschak, P.; Mykytyshyn, A.; Didych, I.; Tymoshchuk, D. Artificial intelligence as applied to classifying epoxy composites for aircraft. Aviation 2025, 29 (1), 22–29. DOI: 10.3846/aviation.2025.23149
  • Tymoshchuk, D.; Yasniy, O.; Mytnyk, M.; Zagorodna, N.; Tymoshchuk, V. Detection and classification of DDoS flooding attacks by machine learning method. CEUR Workshop Proceedings 2024, 3842, 184–195.
  • Klots, Y., Titova, V., Petliak, N., Tymoshchuk, D., Zagorodna, N. Intelligent data monitoring anomaly detection system based on statistical and machine learning approaches. CEUR Workshop Proceedings, (2025), 4042, pp. 80 – 89
  • Petliak, N., Klots, Y., Karpinski, M., Titova, V., Tymoshchuk, D. Hybrid system for detecting abnormal traffic in IoT. CEUR Workshop Proceedings, (2025), 4057, pp. 21 – 36
  • B. Lypa, I. Horyn, N. Zagorodna, D. Tymoshchuk, T. Lechachenko, Comparison of feature extraction tools for network traffic data, CEUR Workshop Proceedings, 3896, 2024, pp. 1-11.
  • Karpinski, M., Revniuk, O., Tymoshchuk, D., Kozak, R., Tokkuliyeva, A. Fuzzy logic system as a component of the web application security information system. Ceur Workshop Proceedings, 2025, 4042, pp. 308–315
Навчальні дисципліни