Ying Zhao

Ying Zhao

Ph.D. student
M.S., Industrial & System Engineering, University of Michigan-Dearborn
B.S., Mechanical Engineering, China University of Mining and Technology
Email: yinzhao@umich.edu

Publication

  • Zeng, J., Zhao, Y., Li, G., Gao, Z., Li, Y., Barbat, S., and Hu, Z.*, Vehicle Crashworthiness Performance Prediction through Fusion of Multiple Data Sources, ASME Journal of Mechanical Design, 2023, 11, DOI: 10.1115/1.4064063.
  • Zhao, Y., Chadha, M., Olsen, N., Yeates, E., Turner, J., Gugaratshan, G., Qian, G., Todd, M.D. and Hu, Z.*, 2023. Machine learning-enabled calibration of river routing model parameters. Journal of Hydroinformatics, DOI:10.2166/hydro.2023.030.
  • Zhao, Y., Jiang, C., Vega, M., Todd, M., and Hu, Z.*, Surrogate Modeling of Nonlinear Dynamic Systems: A Comparative Study, ASME Journal of Computing and Information Science in Engineering, DOI:10.1115/1.4054039.
  • Wang, Z., Jiang, C., Liu, P., Yang, W., Zhao, Y., Horstemeyer, M., Chen, L., Hu, Z.*, and Chen L.*, Uncertainty quantification and reduction in metal additive manufacturing, npj Computational Materials, 2020, 6, 175.
  • Liu, Y., Zhao, Y., Hu, Z., Mourelatos, Z. P., & Papadimitriou, D. (2019). Collision-Avoidance Reliability Analysis of Automated Vehicle Based on Adaptive Surrogate Modeling. ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg, 5(2).
  • Zeng, J., Zhao, Y., Hu, Z.*, Li, G., Gao, Z., Li, Y., and Barbat, S., 2023, “Machine Learning‑ Based Model Bias Correction by Fusing CAE Data With Test Data for Vehicle Crashworthiness”. In ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers Digital Collection.
  • Zhao, Y., Jiang, C., Vege, M., Todd, M., and Hu, Z. (2022). A Comparative Study of Surrogate Modeling of Nonlinear Dynamic Systems. In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers Digital Collection.
  • Liu, Y., Zhao, Y., Hu, Z., Mourelatos, Z. P., & Papadimitriou, D. (2019). Collision-Avoidance Reliability Analysis of Autonomous Vehicle Based on Adaptive Kriging Surrogate Modeling. In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers Digital Collection.

Award

  • Editors’ Choice Best Paper Award, ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 2020.
  • Papers of Distinction, ASME IDETC – 49th Design Automation Conference, 2023