Qing Li

Title(s):

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

Office

3031 Black Engr
2529 Union Dr
Ames, IA 50011-2164

Information

Education

  • 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 533: Reliability
  • MSE/IE/CBE 580X: Introduction of Project Management for Thesis Research (Co-instructor)
  • IE/STAT 361: Statistical Quality Assurance
  • IE 420/520. Engineering Problem Solving with R

Publications

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

  1. 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, 17(5): e0262895.
  2. Li, Q.*, Liu, L. J., Li, T. Q., and Yao, K. H. (2021). Bayesian change-points detection assuming power-law process in the recurrent-event context, Communications in Statistics Part B: Simulation and Computation, 1–23
  3. Jiang, Y. Q., Wang, S. D., Qin, H. T., Li, B. W., and Li, Q.*. Similarity quantification of 3D surface topography measurements via Fourier transform, Measurement, 110207. 
  4. Wang, S.D., Zhang, X., Zheng, Y., Li, B.W., Qin, H.T., and Li, Q.* (2019). Similarity evaluation of 3D surface topography measurements, Measurement Science and Technology, 32:125003.
  5. Jiang, Y. Q., Li, Q.*, Trevisan, G, Linhares, D., and MacKenzie, C. (2021). Investigating the relationship of porcine reproductive and respiratory syndrome virus RNA detection between adult/sow farm and wean-to-market age categories, PLOS ONE, 16:e0253429.  
  6. 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, 116: 959–974. 
  7. 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, 28(24): 36568-36583 (The first two authors contributed equally).
  8. Allen, M.L., Wang, S.D., Olson L.O., and Li, Q. (2020). Miha Krofel Counting cats for conservation: seasonal estimates of leopard density and drivers of distribution in the Serengeti, Biodiversity and Conservation, 29:3591–3608. 
  9. Li, Q., Guo, F., and Inyoung, K. (2020). A non-parametric Bayesian change-point detection method in the recurrent-event context, Journal of Statistical Computation and Simulation, 90:2949–2968.
  10. 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, 53:310-317. 
  11. Li, Q.*, Yao, K.H., and Zhang, X.Y. (2020). A change-point detection and clustering method in the recurrent-event context, Journal of Statistical Computation and Simulation, 90 (6):1131-1149.
  12. Zheng, Y., Zhang, X., Wang, S.D., Li, Q., Qin, H.T., and Li, B.W. (2020). Similarity evaluation of topography measurement results by different optical metrology technologies for additive manufactured parts, Optics and Lasers in Engineering, 126: 105920.
  13. 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, 8(1):12440.
  14. Li, Q., Guo, F., Inyoung, K., Klauer, S., and Simons-Morton, B. (2018). A Bayesian finite mixture change-points model for novice teenage driving risk, Journal of Applied Statistics, 45:604-625.
  15. Li, Q., Guo, F., Klauer, S., and Simons-Morton, B. (2017). Evaluation of risk change-point for novice teenage drivers, Accident Analysis & Prevention, 108:139-146.
  16. Gibbons, R., Guo, F., Du, J.H., Medina, A., Terry, T., Lutkevich, P., and Li, Q. (2015). Approaches to adaptive lighting on roadways, Transportation Research Record: Journal of the Transportation Research Board, 2485:26-32.
  17. Prussin, A.J., Li, Q., Malla, R., Ross, S.D., and Schmale, D.G. (2014). Monitoring the long distance transport of fusarium graminearum from field-scale sources of inoculum, Plant Disease, 98(4):504-511.
  18. Guo, F., Li, Q., and Rakha, H. (2012). Multi-state travel time reliability models with skewed component distributions, Transportation Research Record: Journal of the Transportation Research Board, 2315:47-53.

Departments

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