Qing Li

Title(s):

Building a World of Difference Faculty Fellow in Engineering, Assistant Professor
Industrial & Manufacturing Systems Engineering
Center of Nondestructive Evaluation

Office

2150 Therkildsen Industrial Engineering Building
531 Bissell Road
Ames, IA 50011-1096

Information

  • PhD, Statistics, Virginia Tech University, 2015
  • MS, Electrical Engineering, University of Rochester, 2010
  • BE, Information and Electronics Engineering, Tsinghua University, 2008

Interest Areas

Statistical quality assurance, statistics, and machine learning in advanced manufacturing, non-destructive evaluation, healthcare, and other engineering and natural science applications

IMSE Courses Taught

  • IE/STAT 5330: Reliability
  • MSE/IE/CBE 5800X: Introduction of Project Management for Thesis Research (Co-instructor)
  • IE/STAT 3610: Statistical Quality Assurance
  • IE 4200/5200. Engineering Problem Solving with R

Publications

Selected Peer-Reviewed Journals (Students in Bold, Corresponding Author *)

  1.  

    Jiang, Y. Q.+, Zhang, W. L., Huang, Y. L., MacKenzie, C., and Li, Q. *, “Unbiased inference for echocardiogram urgency prediction using double machine learning”, PLOS One, 21:e0338922 (2026) https://doi.org/10.1371/journal.pone.0338922

  2. Xia, Q. Z. +, Aldrin, J., Li, Q. *, “Enhancing limited-sample probability of detection estimation using models and advanced regression techniques”, Journal of Nondestructive Evaluation (IF 2.6, Q2), 44:97 (2025). https://doi.org/10.1007/s10921-025-01232-7

  3.  Jiang, Y. Q. +, Wang, S. D. +, Li, Q., and Zhang, W. L., “ICU outcome prediction using real-time signals with wavelet-transform-based deep learning method”, Transactions on Management Information Systems (IF 2.5, Q1), 44:97 (2025).  https://doi.org/10.1145/3727624

     

  4.  Wang, S. D. +, Jiang, Y. Q. +, Li, Q., and Zhang, W. L., “Timely ICU outcome prediction utilizing stochastic signal analysis and machine learning techniques with readily available vital sign data”, IEEE Journal of Biomedical and Health Informatics (IF 6.7, Q1), 28:5587-5599 (one of the top 3 out of 47 Health Information Management Journals according to H-index) (2024). https://doi.org/10.1109/JBHI.2024.3416039

  5. Noh, J. M., Liu, L. J. +, Tekeste, M., Li, Q., Hatfield J., Eisenmann D., “Digitized Soil SeedBed Soil Tilth Quality Comparison from Worn and Edge hardened Cultivator Sweeps” (First two authors contributed equally), Sensors (IF 3.9, Q2), 24(21), 6951 (2024). https://doi.org/10.3390/s24216951

  6. Liu, L. J. +, Li, B. W., Qin, H. T., and Li, Q.* (2024). “Uncertainty quantification utilizing similarity evaluation between 3D surface topography measurements”, Special Issue: Advances in Data Analytics for Manufacturing Quality Assurance, Mathematics (IF 2.592, Q1), 12(5):669.  https://doi.org/10.3390/math12050669

  7. Safaei, N., Seyedekrami, S., Talafidaryani, M., Masoud, A., Wang, S. D., Moqri, M., Li, Q., and Zhang, W. L. (2022). E-CatBoost: An efficient machine learning framework for predicting ICU mortality using the eICU Collaborative Research Database, PLOS ONE (IF: 3.752, Q1), 17(5): e0262895.https://doi.org/10.1371/journal.pone.0262895

  8. Jiang, Y. Q., Wang, S. D., Qin, H. T., Li, B. W., and Li, Q.* (2021). Similarity quantification of 3D surface topography measurements via Fourier transform, Measurement  (IF 5.131, Q1), 110207. https://doi.org/10.1016/j.measurement.2021.110207

  9. Zhang, X., Shen, W. J., Suresh, V., Hamilton, J., Yeh, L. H., Jiang, X. P., Zhang, Z., Li, Q., Li, B. W., Rivero, I. V., and Qin, H. T. (2021). In-situ monitoring of direct energy deposition via the structured light system and its application in remanufacturing, The International Journal of Advanced Manufacturing Technology (IF 3.226, Q1), 116: 959–974. https://doi.org/10.21203/rs.3.rs-278338/v1

  10. Zheng Y., Wang, S. D., Li, Q., and Li, B. W. (2020). Fringe projection profilometry by conducting deep learning from its digital twin, Optics Express (IF 3.3, Q2), 28(24): 36568-36583 (The first two authors contributed equally). https://doi.org/10.1364/OE.410428

  11. Zhang, X., Zheng, Y., Wang, S.D., Li, Q.*, Li, B.W., and Qin, H.T. (2020).  Correlation approaches for quality assurance of additive manufactured parts based on optical metrology, Journal of Manufacturing Processes (IF 5.684, Q1), 53:310-317. https://doi.org/10.1016/j.jmapro.2020.02.037

  12. Allen, M.L., Norton, A.S., Stauffer, G., Roberts, N., Luo, Y.S., Li, Q., MacFarland, D., and Van Deelen, T.R. (2018). A Bayesian state-space model using age-at-harvest data for estimating the population of black bears (Ursus americanus) in Wisconsin, Scientific Reports (IF 4.996, Q1),, 8(1):12440. https://doi.org/10.1038/s41598-018-30988-4

  13. Li, Q., Guo, F., Klauer, S., and Simons-Morton, B. (2017). Evaluation of risk change-point for novice teenage drivers, Accident Analysis & Prevention (IF 6.489, Q1), 108:139-146. https://doi.org/10.1080/02664763.2017.1288202

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