Presentations

(*: Student under my supervision)
Invited Talks
1. A non-parametric Bayesian change-point method for detecting driving risk changes; Similarity evaluation of 3D surface topography measurements in additive manufacturing, In The Institute of Industrial and Systems Engineers (IISE) Annual Conference, Virtual, May 2020

2. Similarity evaluation of 3D surface topography measurements in additive manufacturing, In National Institute of Standards and Technology (NIST), Gaithersburg, MD, Feb 2020
Change-points detection in the recurrent-event context via Bayesian inference, In Iowa State University, IMSE Seminar, Statistics Dept. Seminar, Sep 2018

Papers
1. Li, Q., Wang, S.D.*, Zhang, X., Zheng, Y., Li, B.W., and Qin, H.T., Similarity evaluation of 3D surface topography measurements in additive manufacturing, In Joint Statistical Meetings (JSM), Philadelphia, PA, Aug 2020
2. Li, Q., Guo, F., Inyoung, K., A non-parametric Bayesian change-point method for detecting driving risk changes, In Mid-Continent Transportation Research Symposium, Ames, IA, Aug 2019
3. Li, Q., Yao, K.H.*, and Zhang, X.Y.*, A change-point detection and clustering method in the recurrent-event context, In JSM, Denver, CO, Jul 2019
4. Li, Q., Guo, F., Inyoung, K., A non-parametric Bayesian Change-point Method for Detecting Driving Risk Changes, In JSM, Baltimore, MD, Aug 2017
5. Li, Q., Guo, F., Inyoung, K., Klauer, S., and Simons-Morton, B., Change-points detection in driving risk by hierarchical Bayesian Finite Mixture Model, In JSM, Seattle, WA, Aug 2015
6. Li, Q., Guo, F., Klauer, S., and Simons-Morton, B., Detecting the change-point of driving risk for novice teenage drivers in recurrent-event context, In JSM, Boston, MA, Aug 2014

Posters

1. Tapia, L., Soo, Y.X., Jiang, L.K., Jiang, X.P., Qin, H.T., Zhang, Z., Li, Q., Defect recognition of additive manufactured parts based on CT reconstruction, In IMSE 8th Annual Student Research Symposium (Virtual), Ames, IA, 2020 (Best poster award for the IMSE URA project)

2. Wang, S.D.*, Zhang, X., Zhang, Y., Li, B.W., Qin, H.T., Li, Q., Similarity evaluation of 3D surface topography measurements in additive manufacturing, In ISU 7th Annual Graduate and Professional Student Conference (Virtual), Ames, IA, 2020 (Outstanding poster award)

3. Zhang, X., Suresh, V., Zhang, Y., Wang, S.D.*, Li, Q., Lyu, H., Li, B.W., Qin, H.T., Surface roughness measurement of additive manufactured parts using focus variation microscopy and structured light system, In Iowa State Research Day, Undergraduate and Graduate Research Symposium of IMSE, and The 2nd Midwest Statistical Machine Learning Colloquium, Ames, IA, 2019; In ASME 2019 International Manufacturing Science and Engineering Conference (MSEC 2019), Erie, PA, 2019
4. Li, Q., Yao, K.H.*, and Zhang, X.Y.*, A change-point detection and clustering method in the recurrent-event context, In The First Midwest Statistical Machine Learning Colloquium, Ames, IA, May 201
5. Li, Q., Guo, F., Inyoung, K., A non-parametric Bayesian change-point detection method in the recurrent-event context, In Conference on Predictive Inference and Its Applications, Ames, IA, May 2018