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Department of Industrial and Manufacturing Systems Engineering

Publications

Qing Li | Presentations | Publications | Research | Service | Students | Teaching | Website and News | Curriculum Vita (CV)

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.

Peer-Reviewed Conference Proceedings (Full Papers) & Government Report

  1. 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, 49th SME North American Manufacturing Research Conference (NAMRC 49), Cincinnati, USA
  2.  Shen, W. J., Zhang, X., Jiang, X. P., Yeh, L. H., Zhang, Z., Li, Q., Li, B. W., and Qin, H. T. (2021). Surface extraction from micro-computed tomography data for surface metrology of additive manufacturing, 49th SME North American Manufacturing Research Conference (NAMRC 49), Ohio, USA
  3. Wang, S. D., Li, Q., and Zhang, W. L. (2021). MD-manifold: A medical distance-based manifold learning approach for heart failure readmission prediction, Hawaii International Conference on System Sciences (HICSS), Virtual.
  4. Jiang, S., Mort, R., Gansemer-Topf, A., Li, Q., Ruel, N., Kremer, O.G. (2020), Implementing professional skills training in STEM: A review of the literature, The American Society for Engineering Education (ASEE) Virtual Conference 2020.
  5. Jiang, S., Mort, R., Gansemer-Topf, A., Li, Q., Ruel, N., Kremer, O.G. (2020), A community of practice approach to integrating professional skills training with graduate thesis research, The American Society for Engineering Education (ASEE) Virtual Conference 20203.
  6. Rajabalizadeh, A., Wang, S.D., Javadi, M., Safaei, N., Talafidaryani, M., Zhang, W.L., Li, Q., Moqri, M. (2020), In-depth evaluation of APACHE scoring system using eICU database, International Conference on Information Systems (ICIS) 2020 (Virtual, Papers are peer-reviewed with about a 28% acceptance rate).
  7. Suresh, V., Zheng, Y., Zhang, X., Wang, S.D., Qin, H.T., Li, Q., and Li, B.W. (2020), Similarity evaluation of 3D topological measurement results using statistical methods, Proc. SPIE 11397, Dimensional Optical Metrology and Inspection for Practical Applications IX, 113970A.
  8. Zhang, X., Suresh, V., Zheng, Y., Wang, S.D., Li, Q., Lyu, H., Li, B.W., Qin, T. (2019), Surface roughness measurement of additive manufactured parts using focus variation microscopy and structured light system, ASME 2019 International Manufacturing Science and Engineering Conference (MSEC2019). 
  9. Gibbons, R., Guo, F., Du, J.H., Medina, A., Terry, T., Lutkevich, P., and Li, Q. (2015). Linking roadway lighting and crash safety, Proceedings of the Transportation Research Board 94th Annual Meeting.
  10. Gibbons, R., Guo, F., Medina, A., Terry, T., Du, J.H., Lutkevich, P., and Li, Q. (2014). Design criteria for adaptive roadway lighting, Report no. FHWA-HRT-14-051, Federal Highway Administration.

Manuscripts in Revision

  1. Wang, S. D., Li, Q., and Zhang, W. L.. MD-manifold: A medical distance based manifold learning approach for heart failure readmission prediction, Information Systems Research (2ed round major revision)
  2. Jiang, Y. Q., Wang, S. D., Qin, H. T., Li, B. W., and Li, Q.*. Similarity evaluation of 3D surface topography measurements via Fourier transformation, Measurement (2ed round major revision)

Submitted Manuscripts

  1. Liu, L. J., Li, B. W., Qin, H. T., and Li, Q.* (2022). “Uncertainty quantification utilizing similarity evaluation between 3D surface topography measurements”, Technometrics
  2. Safaei, N., Rajabalizadeh, A., Wang, S. D., Javadi, M., Talafidaryani, M., Li, Q., Zhang, W. L., and Moqri, M. (2021). “Predictive performance analysis of the APACHE scoring system using the eICU collaborative research database”, Statistics in Medicine
  3. Bazargania, B., Li, Q., and Smadia, O. (2020). “Application of power analysis in pavement condition data”, Transportation Research Part B: Methodological
  4. Lei, X., MacKenzie, C, and Li, Q. (2021). “Modeling and forecasting mass shootings using Poisson regression and change-point models”, Journal of Quantitative Criminology