Peter Z. G. Qian
Assistant Professor
Department of Statistics
Affiliated Assistant Professor
Department of Industrial and Systems Engineering
University of Wisconsin-Madison
Room 1165
Medical Science Center
1300 University Ave.
Madison, WI 53706
Phone: (608)262-2537
Email : peterq@stat.wisc.edu

Education:
Ph.D. Georgia Institute of Technology, 2006.
 
Teaching:
Spring 2009: Stat 992
A new song in design of experiments: space-filling designs with diverse applications

Fall 2009: Stat 803
A Modern System of Design and Analysis of Experiments


Fall 2009: Stat/ME 424
Design and Analysis of Experiments

Research Interests:
Interface between efficient data collection and flexible data modeling
Data collection issues in machine learning and data mining
Design, modeling and analysis of computer models
Design of experiments and algebraic statistics
Optimization under uncertainty
Statistics in IT, modern engineering and services

Selected Publications:
11.   B. Haaland and P. Z. G. Qian (2009), ''An Approach to Constructing Nested Space-Filling Designs for Multi-Fidelity Computer Experiments,'' Statistica Sinica, to appear.
10. Qian, P. Z. G.  and Wu, C. F. J. (2009), “Sliced Space-Filling Designs,” Biometrika, to appear.
9.  Qian, P. Z. G.  (2009), “Nested Latin Hypercube Designs,” Biometrika, to appear.
8.  Qian,  P. Z. G.,  Ai, M. and Wu, C. F. J. (2009), “Construction of Nested Space-Filling Designs,” Annals of Statistics, 37, 3616-43.
7. Qian, P. Z. G., Tang, B. and Wu, C. F. J. (2009), “Nested Space-Filling Designs for Experiments with Two Levels of Accuracy,” Statistica Sinica, 19, 287-300.
6.  Qian, P. Z. G., Wu, H. and Wu, C. F. J. (2008), “Gaussian Process Models for Computer Experiments with Qualitative and Quantitative Factors,”  Technometrics, 50, 383-396.
5. Qian, P. Z. G.  and Wu, C. F. J. (2008), “Bayesian Hierarchical Modeling for Integrating Low-accuracy and High-accuracy Experiments,” Technometrics, 50, 192-204.
4.  Mukerjee, R., Qian, P. Z. G.  and Wu, C. F. J. (2008), “On the Existence of Nested Orthogonal Arrays,” Discrete Mathematics, 308, 4635-4642.
3. Qian, Z., Seepersad, C., Joseph, R., Allen, J. and Wu, C. F. J. (2006), “Building Surrogate Models with Detailed and Approximate Simulations,” ASME Journal of Mechanical Design, 128, 668-677.
2. Qian, Z., Jiang, W. and Tsui, K. (2006), “Churn Detection via Customer Profile Modeling,” International Journal of Production Research, 44, 2913-2933.
1. Qian, Z. and Shapiro, A. (2006), “Simulation-based Approach for Estimation in Latent Variable Models,” Computational Statistics and Data Analysis, 51, 1243-1259.

Submitted Papers:
A Statistical Approach to Thermal Management of Data Centers under Steady State and System Perturbations. B. Haaland, W. Min, P. Z. G. Qian and Y. Amemiya.
Nested Lattice Sampling: A New Sampling Scheme Derived By Randomizing Nested Orthogonal Arrays. P. Z. G. Qian and M. Ai.
Enhancing the Sample Average Approximation method with U designs. Q. Tang and P. Z. G. Qian.
A Statistics-Guided Approach to Precise Characterization of Nanowire Morphology. F. Wang, Y. Hwang, P. Z. G. Qian and X. Wang.

 PhD Students
Ben Haaland  
Jun Li  
YoungDeok Hwang
Xu Xu

Acknowledgement: Research is supported by NSF and a faculty award from IBM