Events

  • Organized Events

    • Session Organizer and Chair: Design and Analysis of Experiments with Heterogeneous and Functional Responses, INFORMS Annual Meeting, Houston, TX, October 2017.
    • Program Committee Chair, 2016 ASA/IMS Spring Research Conference
    • Data Science Seminar: Spring 2014, Fall 2015
    • Applied Math Departmental Colloquium Organizer and Chair, Jan 2012–May 2013.
    • Session Chair: Recent Advances in Experimental Designs, The 3rd IMS Asia Pacific Rim Meeting, Taipei, Taiwan, July 2014.
    • Session Chair: Recent advances in Statistical machine learning and its biomedical applications, 59th ISI World Statistics Congress, Hong Kong, Aug 2013.
    • Session Organizer and Chair: Computer Models: Prediction and Calibration, INFORMS Annual Meeting, Austin, TX, November 2010.
  • Invited Seminar Talk

    • Bayesian D-optimal Design of Experiments with Continuous and Binary Responses. DePaul University, Chicago, IL, Sept 2015.
    • Comparing the Slack-Variable Mixture Model with Other Alternatives. Procter \& Gamble Company, Cincinnati, OH, Oct 2013.
    • New Developments in Design and Analysis in Computer Experiments and Applications in Wind Farm Design. Department of Systems Engineering and Engineering Management, City University of Hong Kong, Aug 2013.
    • Analysis of Large-Scale Computer Experiments. Argonne National Lab, Chicago, IL, Nov 2012.
    • Coordinate-Exchange Simulated Annealing Algorithm for Constrained Optimal Design. Department of Statistics, University of Southampton, Southampton, U.K., Jun 2012.
    • Functional Data Analysis for WACCM Simulation. Uncertainty Quantification Transition Workshop, SAMSI, Durham, NC, May 2012.
    • Design of Experiments and Data Mining. Department of Computer Science, IIT, Mar 2012.
    • Kernel Approximation: From Regression to Interpolation. IEMS, Northwestern University, Jan 2012.
    • Analysis of Large-Scale Computer Experiments. Department of Industrial Engineering, Tsinghua University, Beijing, China, Dec 2011.
    • Analysis of Large-Scale Computer Experiments.  National Centre for Materials Service Safety, University of Science and Technology Beijing, Beijing, China, Dec 2011.
    • Analysis of Large-Scale Computer Experiments. MSCS, University of Illinois at Chicago, April 2011.
    • Analysis of Large-Scale Computer Experiments.  AMATH IIT, IE Texas A\&M University, IOE Michigan University, IE Rutgers University, IBM T. J. Watson Research Center, Jan-Mar 2010.
  • Invited Conference Talk

    • Bayesian A-optimal Design for Quantitative and Qualitative Responses. Joint Statistical Meeting, Baltimore, August 2017.
    • A General Construction for Space-filling Latin Hypercubes. ICSA Applied Statistics Symposium, Chicago, June 2017.
    • NSF REU “Women in Computing” Panel Discussion. DePaul University, Chicago, IL July 2016.
    • Kernel Approximation: From Regression to Interpolation. ASA/IMS Spring Research Conference, Illinois Institute of Technology, Chicago, IL May 2016.
    • A General Construction for Space-filling Latin Hypercubes. International Conference on Design of Experiments, The University of Memphis, Memphis, TN May 2016.
    • Bayesian D-optimal Design of Experiments with Continuous and Binary Responses. International Conference on Design of Experiments, The University of Memphis, Memphis, TN May 2016.
    • Bayesian Hierarchical Model for Quantitative and Qualitative Responses. INFORMS Annual Meeting, Philadelphia, PA, Nov 2015.
    • Comparing the Slack-Variable Mixture Model with Other Alternatives. ASA/IMS Spring Research Conference, Cincinnati, OH, May 2015.
    • Bayesian D-optimal Design of Experiments with Quantitative and Qualitative Responses. An International conference organized by the Institute of Applied Statistics, Sri Lanka jointly with The Department of Bioinformatics and Biostatistics at the University of Louisville, Colombo, Sri Lanka, Dec 2014.
    • Bayesian D-optimal Design of Experiments with Quantitative and Qualitative Responses. INFORMS Annual Meeting, San Francisco, CA, Nov 2014.
    • Bayesian D-optimal Design of Experiments with Quantitative and Qualitative Responses.  Conference on Experimental Design and Analysis, Taipei, Taiwan, July 2014.
    • Fast Gaussian Process Model with Reduced Dimension. The 3rd IMS Asia Pacific Rim Meeting, Taipei, Taiwan, July 2014.
    • Density-Based Partitioning for K-fold Cross-Validation. International Statistical Institute Satellite Meeting, Hong Kong, Aug 2013.
    • Constrained optimal experimental design. 59th ISI Word Statistical Congress, Hong Kong, Aug 2013.
    • Density-Based Partitioning for K-fold Cross-Validation. Joint of Statistical Meetings, Montreal, Aug 2013.
    • Steep-Slope-Sampling for Gaussian Process Model. INFORMS Annual Meeting, Phoenix, AZ, Oct 2012.
    • Tapered Correlation Matrix Preconditioning for Fast Approximate Kriging. INFORMS Meeting Annual, Phoenix, AZ, Oct 2012.
    • Analysis of Large-Scale Computer Experiments. Opening Workshop and Tutorials: Methodology of Uncertainty Quantification, SAMSI, Durham, NC, Sep 2011.
    • Regression-Based Inverse Distance Weighting with Applications to Computer Experiments. Invited Technometrics Session, Joint Statistical Meetings, Miami, Aug 2011.
    • Product Defect Rate Confidence Bound with Attribute and Variable Data. Industrial Engineering Research Conference, Reno, Nev, May 2011.
    • Kernel Sum Regression and Interpolation. INFORMS Annual Meeting, Austin, TX, Nov 2010.
    • Bayesian Optimal Single Arrays for Robust Parameter Design. QSR Best Student Paper Competition, INFORMS Annual Meeting, San Diego, CA, Oct 2009.