Dadi Xing

Dadi Xing
Ph.D. Candidate
School of Industrial Engineering
Purdue University

• Location: Grissom Hall, Purdue Uiversity, West Lafayette IN 47907
• Email Address: dxing (at) purdue (dot) edu
• CV: [PDF]

Research Topics

• Factor screening in large scale data analysis.
• Simulation-based optimal experiment design.
• Optimal computational experiment design in Uncertainty Quantification.

Bio

Dadi Xing is a Ph.D. Candidate in the School of Industrial Engineering at Purdue University. He is co-advised by Prof. Hong Wan and Prof. Michael Yu Zhu. His research focus on the experiment design and analysis based on the penalized variable selection methods and their application in complex system simulation.

Education:

• 2010 - present: In pursuit of Ph.D. in School of Industrial Engineering, Purdue University, West Lafayette, IN
• 2006 - 2009: M.S. in Biomedical Engineering, South China University of Technology, Republic of China

Work Experience:

Publications

• Xing, D., H. Wan, M. Y. Zhu, Kaymal. T and Sanchez. S.M. "Simulation screening experiments using Lasso-Optimal Supersaturated Design and Analysis: A Maritime Operations Application". Proceedings of the 2013 Winter Simulation Conference, edited by R. Pasupathy, S.H. Kim, A. Tolk, R. Hill, and M. E. Kuhl.
• Xing, D., H. Wan, and M. Y. Zhu. "On Lasso's Probability of Selecting True Variables and Optimal Tuning Parameter Determination". Working paper
• Xing, D., H. Wan, and M. Y. Zhu. "Optimal Supersaturated Design via Lasso". Working paper