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LI Zeng

Name

[Zeng, LI]
  • Assist Professor

Biography

Dr. Li Zeng is an Assistant Professor in the Department of Industrial and Manufacturing Systems Engineering at the University of Texas at Arlington. She holds a B.S. in Precision Instruments from Tsinghua University, China, and M.S. in Statistics and Ph.D. in Industrial Engineering from University of Wisconsin-Madison. Dr. Zeng is an active member of the Institute for Operations Research and the Management Sciences (INFORMS) and the Institute of Industrial Engineers (IIE).

Dr. Zeng’s research interests are mainly on statistical modeling, monitoring and analysis of complex production and service processes/systems. The goal is to characterize baseline system performance, detect changes in performance and identify root causes for changes. She has applied her methodologies to manufacturing processes/systems such as nanomanufacturing and glass manufacturing and healthcare delivery systems such as cardiac surgeries and care for chronic obstructive pulmonary diseases.

Professional Preparation

    • 2009 Ph.D in Industrial EngineeringUniversity of Wisconsin - Madison
    • 2007 M.S. in StatisticsUniversity of Wisconsin - Madison
    • 2004 M.S. in Optical EngineeringTsinghua University, China
    • 2002 B.S. in Precision InstrumentsTsinghua University, China

Appointments

    • Sept 2010 to Present Assist Professor
      University of Texas at Arlington
    • Feb 2010 to Aug 2010 Research Asocciate
      University of Wisconsin - Madison
    • Sept 2004 to Dec 2009 Resarch Assistant
      University of Wisconsin - Madison

Memberships

  • Membership
    • Sept 2008 to Present Institute of Industrial Engineers (IIE)
    • Sept 2006 to Present Institute for Operations Research and the Management Sciences (INFORMS)

Awards and Honors

    • Jan  2014 Best Paper in the Healthcare Systems Track sponsored by The 4th International Conference on Industrial Engineering and Operations Management (IEOM 2014)
    • May  2013 Finalist, QSR Best Student Paper Award sponsored by INFORMS Annual Conference 2009
    • May  2013 Richard S. and Harriet K. Fein Scholarship sponsored by University of Wisconsin - Madison

Research and Expertise

  • Research Interests
    • Statistical modeling, analysis and control of manufacturing processes
    • Quality measure and control in healthcare delivery systems
    • Bayesian statistics and applications

Publications

      Journal Article 2015
      • Zeng, L., Deng, X., and Yang, J. (2015) Constrained Hierarchical Modeling of Degradation Data in Tissue-engineered Scaffold Fabrication. IIE Transactions, in print. 

        {Journal Article} [Refereed/Juried]

        Journal Article 2014
        • Lin, C.-F., LeBoulluec, A. K., Zeng, L., Chen, V., and Gatchel, R. J. (2014) A Decision-Making Framework for Adaptive Pain Management. Health Care Management Science, 17(3): 270-283.

          {Journal Article} [Refereed/Juried]
        • 2014
          • Zeng, L., and Peterson, R. (2014) Measuring Service Accessibility in Telephone Nurse Triage Services. Quality and Reliability Engineering International, 30(6): 843-855.

            {Journal Article} [Refereed/Juried]
          • 2014
            • Zeng, L., and Chen, N. (2014) Bayesian Hierarchical Modeling for Monitoring Optical Profiles in Low-Emittance Glass Manufacturing Processes. IIE Transactions, 47(2): 109-124.

              {Journal Article} [Refereed/Juried]
            • 2014
              • Zeng, L., Neogi, S., and Zhou, Q. (2014). Robust Phase I Monitoring of Profile Data with Application in Low-E Glass Manufacturing Processes. Journal of Manufacturing Systems, 33(4): 508-521.

                {Journal Article} [Refereed/Juried]
              • 2014
                • Yu, P., and Zeng, L. (2014) Rationalizing Beliefs. Rationality and Society, 26(4): 425-445.

                  {Journal Article} [Refereed/Juried]
                • 2014
                  • Sonstein, L., Clark, C., Seidensticker, S., Zeng, L., and Sharma, G. (2014) Improving Adherence for Management of Acute Exacerbation of Chronic Obstructive Pulmonary Disease. American Journal of Medicine, 127(11): 1097-1104.

                    {Journal Article} [Refereed/Juried]
                  • 2014
                    • Ding, G., and Zeng, L. (2014) On the Effect of Measurement Errors in Regression-adjusted Monitoring of Manufacturing Processes. Journal of Manufacturing Systems, in print.

                      {Journal Article} [Refereed/Juried]

                      Conference Proceeding 2013
                      • Zhang, Z., Rosenberger, J., Chen, V., Zeng, L., and Bergman, D. (2013) Adaptive Dynamic Programming for Airport Deicing. proceeding of the Industrial and Systems Engineering Research Conference (ISERC), May 18-22, 2013, Puerto Rico.

                        {Conference Proceeding} [Refereed/Juried]
                      • 2013
                        • LeBoulluec, A., Zeng, L., Chen, V., Rosenberger, J., and Gatchel, R. (2013) Outcome and State Transition Modeling for Adaptive Interdisciplinary Pain Management. proceeding of the Industrial and Systems Engineering Research Conference (ISERC), May 18-22, 2013, Puerto Rico.

                          {Conference Proceeding} [Refereed/Juried]
                        • 2013
                          • Zeng, L., Neogi, S., Rogers, J., Seidensticker, S.,Clark, C., Sonstein, L., Trevino, R., and Sharma, G. Statistical Models for Hospital Readmission Prediction with Application Chronic Obstructive Pulmonary Disease (COPD) Patients. proceeding of the 4th International Conference on Industrial Engineering and Operations Management (IEOM), Jan 7-9, 2014, Bali, Indonesia, accepted.

                            {Conference Proceeding} [Refereed/Juried]

                          • Journal Article 2013
                            • Knopp, J., and Zeng, L. (2013) Statistical Analysis of Hit/Miss Data. Materials Evaluation, 71(3):323-329.

                              {Journal Article} [Refereed/Juried]

                              Journal Article 2012
                              • Zeng, L., Zhou, Q., De Cicco, M., Li, X., and Zhou, S. (2012) Quantifying Boundary Effect of Nanoparticles in Metal Matrix Nanocomposite Fabrication Processes. IIE Transactions, 44(7), 551-567.

                                {Journal Article} [Refereed/Juried]
                              • 2012
                                • Kam, K., Zeng, L., Zhou, Q., Tran, R., and Yang, J. (2012) On Assessing Spatial Uniformity of Particle Distributions in Quality Control of Manufacturing Processes. Journal of Manufacturing Systems. 32(1): 154-166.

                                  {Journal Article} [Refereed/Juried]
                                • 2012
                                  • Knopp, J., Grandhi, R., Zeng, L., and Aldrin, J. (2012) Considerations for Statistical Analysis of Nondestructive Evaluation Data: Hit/Miss Analysis. E-Journal of Advanced Maintenance, 4(3):105-115.

                                    {Journal Article} [Non-refereed/non-juried]
                                  • 2012
                                    • Zhou, Q., Zeng, L., DeCicco, M., Li, X., and Zhou, S. (2012) A Comparative Study on Clustering Indices for Distribution Uniformity of Nanoparticles in Metal Matrix Nanocomposites. CIRP Journal of Manufacturing Science and Technology, 5(4):348-356.

                                      {Journal Article} [Refereed/Juried]

                                      Conference Proceeding 2011
                                      • Zhou, Q., Zeng, L., De Cicco, M., Li, X., and Zhou, S. (2011) A Comparative Study on Clustering Indices for Distribution of Nanoparticles in Metal Matrix Nanocomposites. proceeding of the 44th CIRP International Conference on Manufacturing Systems, June, 2011, Madison, WI.

                                        {Conference Proceeding} [Refereed/Juried]

                                      • Journal Article 2011
                                        • Zeng, L., and Zhou, S. (2011) A Bayesian Approach to Risk-adjusted Outcome Monitoring in Healthcare. Statistics in Medicine, 30(29):3431-3446.

                                          {Journal Article} [Refereed/Juried]

                                          Journal Article 2010
                                          • Zhou, Q., Zeng, L., and Zhou, S. (2010) Statistical Monitoring of Defect Patterns Using Hough Transform. IEEE Transactions on Semiconductor Manufacturing, 23(3):370-380.

                                            {Journal Article} [Refereed/Juried]

                                            Journal Article 2008
                                            • Zeng, L., Jin, N., and Zhou, S. (2008) Multiple Fault Signature Integration and Enhancing for Variation Source Identification in Manufacturing Processes. IIE Transactions, 40(10):919-930.

                                              {Journal Article} [Refereed/Juried]
                                            • 2008
                                              • Zeng, L., and Zhou, S. (2008) Variability Monitoring of Multistage Manufacturing Processes Using Regression Adjustment Methods. IIE Transactions, 40(2):109-121.

                                                {Journal Article} [Refereed/Juried]

                                                Journal Article 2007
                                                • Zeng, L., and Zhou, S. (2007) Inferring the Interactions in Complex Manufacturing Processes Using Graphical Models. Technometrics, 49(4):373-381.

                                                  {Journal Article} [Refereed/Juried]

                                                  Journal Article 2006
                                                  • Ding, Y., Zeng, L., & Zhou, S. (2006). Phase I Analysis for Monitoring Nonlinear Profile Signals in Manufacturing Processes. Journal of Quality Technology, 38(3), 199-216.

                                                    {Journal Article} [Refereed/Juried]

Presentations

    • October  2013

      Robust Phase I Analysis of Profile Data with Application in Low-E Glass Manufacturing Processes

    • October  2013

      Demand Forecasting in Service Industries

  • Past
    •  
      Knowledge-Guided Degradation Profile Modeling and Prediction in Tissue-Engineered Scaffold Fabrication
  • Past
    •  
      Bayesian Linear Mixed-effect Modeling of Optical Profiles in Low-E Glass Manufacturing
  • Past
    •  
      Quality Assessment in Nanocomposite Fabrication Processes
  • Past
    •  
      A Comparison of Quality Monitoring in Industrial vs. Healthcare Applications
  • Past
    •  
      Bayesian Hierarchical Modeling of Outbound Calls in Telephone Nurse Triage Services
  • Past
    •  
      Diagnostic Monitoring of Outcomes in Healthcare
  • Past
    •  
      Phase I Analysis for Risk-adjusted Change Detection in Healthcare
  • Past
    •  
      Risk-adjusted Performance Monitoring in Complex Systems
  • Past
    •  
      A Bayesian Approach for Risk-adjusted Change Detection in Healthcare
  • Past
    •  
      Risk-adjusted Performance Monitoring in Complex Systems
  • Past
    •  
      A Bayesian Approach for Risk-adjusted Outcome Monitoring in Healthcare
  • Past
    •  
      Multiple Fault Signature Integration and Enhancing for Variation Source Identification in Manufacturing Processes
  • Past
    •  
      Phase I Analysis for Monitoring Nonlinear Profiles in Manufacturing Processes
  • Past
    •  
      Impacts of Measurement Errors and Regressor Selection on Regression-adjusted Monitoring of Multistage Manufacturing Processes
  • Past
    •  
      Inferring the Interactions in Complex Manufacturing Processes Using Graphical Models

Support & Funding

    • July 2013 to June 2016 Collaborative Research: Quality Profile Modeling and Control with Applications in Tissue-engineered Scaffolds Fabrication sponsored by  - $275000
    • June 2012 to May 2015 Systems Engineering to Provide Integrated Care for Patients with Chronic Obstructive Pulmonary Disease (COPD) sponsored by  - $300000
    • June 2012 to May 2013 Statistical Analysis and Control in Low-E Glass Manufacturing Processes sponsored by  - $9333
    • Nov 2011 to June 2012 Bayesian Reliability Assessment of Non-destructive Evaluation sponsored by  - $150000

Courses

      • IE 5319-001 Advanced Statistical Process Control and Time Series Analysis

        An introduction to statistical process control (SPC) techniques and their applications in various systems/processes. Topics include the statistical basics for SPC, basic control charting procedures, and advanced SPC techniques for the control of emerging manufacturing and healthcare processes.

        Spring - Regular Academic Session - 2015 Download Syllabus Contact info & Office Hours
      • IE 3301-001 ENGINEERING PROBABILITY

        Topics in Industrial Engineering that involve random processes and data. Applications and background for topics in reliability, inventory systems, and queuing problems, including absolute and conditional probabilities, discrete and continuous random variables, confidence intervals, hypothesis testing, and other topics included in the text book through Chapter 13.

        Spring - Regular Academic Session - 2015 Download Syllabus Contact info & Office Hours
      • IE 5318-004 Applied Regression Analysis

        Applied linear regression analysis. In-depth study of one predictor followed by the matrix approach to multiple linear regression. Topics include prediction, residual analysis, and model selection.

        Fall - Regular Academic Session - 2014 Download Syllabus Contact info & Office Hours
      • IE 3301-001 Engineering Probability

        Topics in Industrial Engineering that involve random processes and data. Applications and background for topics in reliability, inventory systems, and queuing problems, including absolute and conditional probabilities, discrete and continuous random variables, confidence intervals, hypothesis testing, and other topics included in the text book through Chapter 11.

        Fall - Regular Academic Session - 2014 Download Syllabus Contact info & Office Hours
      • IE 5318-001 Ie 5318-001

        An in-depth study of one predictor variable followed by the matrix approach to multiple linear regression. Topics include estimation, prediction, analysis of variance, residual analysis, transformations, multicollinearity, model selection, weighted least squares, ridge regression, and robust regression.

        Spring - Regular Academic Session - 2014 Download Syllabus Contact info & Office Hours
      • IE 3301-001 Engineering Probability

        Topics in industrial engineering that involve random processes. Applications and backgrounds for topics in reliability, inventory systems, and queuing problems, including absoldute and conditional probabiltities, discrete and continuous random variables, parameter estimation, hypothesis testing, linear regression, experimentsl designs and analysis of variance.

        Prerequisite: MATH 2326 or concurrent enrollment.

        Spring - Regular Academic Session - 2014 Download Syllabus Contact info & Office Hours
      • IE 3301-001 ENGINEERING PROBABILITY

        Topics in industrial engineering that involve random processes. Applications and backgrounds for topics in reliability, inventory systems, and queuing problems, including absoldute and conditional probabiltities, discrete and continuous random variables, parameter estimation, hypothesis testing, linear regression, experimentsl designs and analysis of variance.

        Prerequisite: MATH 2326 or concurrent enrollment.

        Spring - Regular Academic Session - 2013 Download Syllabus Contact info & Office Hours
      • IE 5318-001 Applied Regression Analysis
        An in-depth study of one predictor variable followed by the matrix approach to multiple linear regression. Topics include estimation, prediction, analysis of variance, residual analysis, transformations, multicollinearity, model selection, weighted least squares, ridge regression, and robust regression.
        Spring - Regular Academic Session - 2013 Download Syllabus
      • IE 5319-001 Advanced Statistical Process Control and Time Series Analysis

        An introduction to statistical process control (SPC) techniques and their applications in various systems/processes. Topics include the statistical basics for SPC, basic control charting procedures, and advanced SPC techniques for the control of emerging manufacturing and healthcare processes.

        Fall - Regular Academic Session - 2011 Download Syllabus

Service to the Profession

  • Elected
    • Oct 2009 to  Oct 2013 Session Chair

      INFORMS Annual Conference, 2009, 2010, 2011, 2012, 2013.

  • Volunteered
    • May 2008 to  May 2008 Session Chair

      Institute of Industrial Engineers (IIE) Annual Conference and Expo, Vancouver, Canada.

    • June 2008 to  June 2008 Session Chair

      Quality and Productivity Research Conference, Madison, Wisconsin.

    • Oct 2011 to  Oct 2012 Technical Committee Member

      International Workshop on Healthcare Systems Engineering

Service to the University

  • Volunteered
    • Sept 2013 to  Present Organizer

      IMSE Seminar