Lulu Kang Ph.D.
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.