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Refereed Journal Articles

(*denotes graduate students, corresponding authors underlined)

  1. Yang, Y., Altarawneh, L., Mohammad Sa’eed*, Jin, Y., and Kwon, S. “A Threshold- and Priority-Based Dispatching Rule for the Simulation-Based Dynamic Scheduling Optimization in Automated Manufacturing Systems,” Simulation, Accepted, 2025.
  2. Ghali, M., Farrag, A., Won, D., and Jin, Y., “Enhancing knowledge retrieval with in-context learning and semantic search through generative AI”, Knowledge-Based Systems, 311(28), 113047, 2025.
  3. Kataoka, J., Farrag, A., Yang., L.*, Jin, Y., and Won, D., “ReflowNet: ConvLSTM-based direct reflow oven recipe optimization framework,” Journal of Intelligent Manufacturing, 1-15, 2024.
  4. Farrag, A., Kim, J., Won, D., Yoon, S., and Jin, Y., “Detection of stencil printing direction in printed circuit boards assembly using solder paste inspection data,” International Journal of Advanced Manufacturing Technology, 1-16, 2024.
  5. Yang, Y., Yang, L., Farrag, A.*, Ning, F., and Jin, Y., “Multi-laser scan assignment and scheduling optimization for large scale metal additive manufacturing,” IISE Transactions, 1–16, 2024. (Featured Article in Industrial and Systems Engineer magazine, IISE, 08/2025)
  6. Gupta, R., Cao, N., Yoon, S., Jin, Y., and Won, D., “A dual-tree complex wavelet transform simulation model for improved noise modeling and prediction of real-time stencil-printing process,” IEEE Transactions on Components, Packaging and Manufacturing Technology, 14(10), 1872-1880, 2024.
  7. Elbas, H.*, Wang, Y., Yoon, S., and Jin, Y., “Optimization of AGV sorting systems in pharmaceutical distribution: a two-stage package assignment and simulation approach,” The International Journal of Advanced Manufacturing Technology, 134: 2439–2457, 2024.
  8. Altarawneh, L., Agarwal, A., Yang, Y.*, and Jin, Y., “A multi-source window-dependent transfer learning approach for COVID-19 vaccination rate prediction,” Engineering Applications of Artificial Intelligence, 136: 109037, 2024
  9. Kim, J., Zhang, Z., Yoon, S., Won, D., and Jin, Y., “A pick-and-place process control based on the bootstrapping method for quality enhancement in surface mount technology”, The International Journal of Advanced Manufacturing Technology, 133: 745–763, 2024.
  10. Farrag, A., Kataoka, J., Yoon, S., Won, D., and Jin, Y., “SRP-PINN: A physics-informed neural network model for simulating thermal profile of soldering reflow process,” IEEE Transactions on Components, Packaging and Manufacturing Technology, 14 (6): 1098 – 1105, 2024
  11. Farrag, A., Yang, Y., Cao, N*, Won, D., and Jin, Y., “Physics-informed machine learning for metal additive manufacturing,” Progress in Additive Manufacturing, 1-15, 2024
  12. Wang, H., Altarawneh, L., Cheng, C, and Jin, Y., “A decomposition-guided mechanism for nonstationary time series forecasting,” AIP Advances, 14: 015254, 2014
  13. Wang, C., Farrag*, , Jin, Y., and Zhou, Y., “Sodium alginate hydrogel scaffolds with internal channels using 3D-Printed polyvinyl alcohol (PVA) sacrificial molds”, Journal of Materials Science, 59: 1593–1607, 2024
  14. Altarawneh, L., Wang, H., and Jin, Y., “COVID-19 vaccine prediction based on an interpretable CNN-LSTM model with three-stage feature engineering,” Health and Technology, 14: 1241–1261, 2024
  15. Wang, H., Shraida., H, and Jin, Y., “Predictive modeling for online in-plane shape deviation inspection and compensation of additive manufacturing,” Rapid Prototyping Journal, 30(2): 350-363, 2024
  16. Shraida., H*, Wang, H.*, and Jin, Y., “Predictive modeling of out-of-plane deviation for the quality improvement of additive manufacturing,” Materials Science Forum, 1086, 2022
  17. Azucena, J., Wang, H., Jin, Y., and Liao, H., “Modeling and analysis of two normal populations based on an unlabeled paired sample,” Communications in Statistics – Simulation and Computation, 53(9): 4158–4176, 2022