Research

  • Research Areas

Statistical Design of Experiments: optimal design of experiments; algebraic design construction methods; sequential experimental design; experimental design for engineering systems; computer experimental design.

Statistical Modeling: advanced data mining methods; multivariate modeling methods for quantitative and qualitative data; functional data analysis; interpolation modeling methods for deterministic computer experiments.

Uncertainty Quantification: experimental design and modeling for computer simulation results.

Applications of Statistics and Operations Research in science, engineering, and biomedical areas. 

  • Grants

    NSF-CMMI “Collaborative Research: Experimental Design and Analysis of Quantitative-Qualitative Responses in Manufacturing and Biomedical Systems”, PI, $117,888 for 09/01/2014–08/31/2017.

    EPA “Combining measurements and models to predict the impacts of climate change and weatherization on indoor air quality and chronic health effects in U.S. residences”, Co-PI (PI at IIT) 0.20 summer month salary of total $499,974 for 11/01/2014–10/31/2017.

    IIT WISER “Stochastic Search for Optimal Wind Farm Layout”, PI, $25,000 for 06/01/2013–05/31/2014. Supported by Wanger Institute for Sustain- ability Energy Research (WISER) 2013 Interdisciplinary Seed Funding Grants (ISFG).

    Procter & Gamble Statistics Innovation Grant “Slack-Variable Model for Mixture Experiments”, PI, $15,000 for 05/01/2013–05/31/2014.

    Duke University “Uncertainty Quantification Program, Research On-Campus”, $10,000 for 08/01–12/31/2011.