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Lulu Kang

Lulu Kang, Ph.D.

Lulu Kang
Assistant Professor of Applied Mathematics






Engineering 1, Room 105B 10 W. 32nd Street Chicago, IL 60616


PhD in Industrial Engineering, Georgia Institute of Technology (2010)
MS in Operations Research, Georgia Institute of Technology (2010)
BS in Mathematics, Nanjing University, China (2005)

Research & Accomplishments 

Statistical methodologies with applications in engineering, including: multivariate interpolation, non-parametric modeling, design and analysis of experiments, computer experiments, Bayesian experimental design, engineering statistics.


  • Best Student Paper Award - Quality, Statistics, and Reliability (QSR) Section of Institute for Operations Research and the Management Sciences (INFORMS), San Diego (2009)
  • Kiplinger Fellowship, Georgia Institute of Technology (2005)
  • Samsung Scholarship, Nanjing University (2004)


Kang, L. and Joseph, V.R. (2009) Bayesian Optimal Single Arrays for Robust Parameter Design. Technometrics, 51, 250-261. (Winner of the Best Student Paper Award, QSR, IN- FORMS, 2009.)

Ai, M., Kang, L., and Joseph, V.R. (2009) Bayesian Optimal Blocking of Factorial Designs. Journal of Statistical Planning and Inference, 139, 3319-3328.

Kang, L., Joseph, V.R., and Brenneman, W. (2009) A New Modeling Approach to Mixture- of-Mixtures Experiments. Technometrics, tentatively accepted.

Joseph, V.R. and Kang, L. (2009) Regression-Based Inverse Distance Weighting with Applications to Computer Experiments. Technometrics, tentatively accepted.

Kang, L. and Brenneman, W. A. (2009) Confidence Bounds for the Overall Product De- fect Rate with Attribute and Variable Data. Quality Reliability Engineering International, accepted.

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