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George Runger

Chair and Professor, Biomedical Informatics


 (480) 884-0225


George Runger, Ph.D., is Chair of the Department of Biomedical Informatics (BMI) and Professor in the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University. He was an affiliated faculty member with BMI and the related Center for Health Information & Research for several years. He researches analytical methods for knowledge generation and data-driven improvements in organizations. He focuses on machine learning for large, complex data, and real-time analysis, with applications to surveillance, decision support, and population health. Previously, he was a senior engineer and technical leader for data analytics projects at IBM. He holds degrees in industrial engineering and statistics. He has over 100 publications in research journals with funding from federal and corporate sponsors. He reviews for many journals in the area of machine learning and statistics and he is currently the department editor for healthcare informatics for IIE Transactions on Healthcare Systems Engineering.

Research Publications

  • A Berrado, George Runger. Using Metarules to Organize and Group Discovered Association Rules. Data Mining and Knowledge Discovery (2007).
  • George Runger, R. Barton, E. Castillo, W. Woodall. Optimal Monitoring of Multivariate Data for Fault Patterns. Journal of Quality Technology (2007).
  • J Hu, George Runger, E Tuv. Tuned Artificial Contrasts to Detect Signals. International Journal of Production Research: Special Issue on Control Charts (2007).
  • W Hwang, George Runger, E Tuv. Multivariate Statistical Process Control with Artificial Contrasts. IIE Transactions: Special Issue on Data Mining (2007).
  • Montgomery, D C, Runger, George. Applied Statistics and Probability for Engineers, 4th Edition. (2007).
  • Montgomery, Douglas C, Runger, George, Hubele, Norma Faris. Engineering Statistics, 4th Edition. (2007).
  • Hu, J. (Author) ,Runger, George (Author) ,Tuv, E. (Author) . Contributors to a Signal from an Artificial Contrast. Informatics in Control, Automation and Robotics II (2007).
  • B Ramirez, George Runger. Quantitative Techniques to Evaluate Process Stability. Quality Engineering (2006).
  • F Li, George Runger, E Tuv. Supervised Learning for Change-point Detection. International Journal of Production Research: Special Issue on Data Mining (2006).
  • H Garcia, R Villalobos, George Runger. An Automated Feature Selection Method for Visual Inspection Systems. IEEE Transactions on Automation Science and Engineering (2006).
  • K Skinner, George Runger, D Montgomery. Process Monitoring for Multiple Count Data Using a Deleted-Y Statistic. Quality Technology and Quantitative Management: Special Issue on Control Charts (2006).
  • Hu, J, Runger, George. Time-Based Detection of Changes to Multivariate Patterns. (2006).
  • Hu, J, Runger, George, Tuv, E. Self-Learning of Decision Rules for Statistical Process Control. (2006).
  • D Jearkpaporn, George Runger, D Montgomery, C Borror. Process Monitoring for Mean Shifts for Multiple Stage Processes. International Journal of Production Research: Special Issue on Quality Engineering (2005).
  • D. Jearkpaporn, Douglas Montgomery, George Runger, Connie Borror. Model-Based Process Monitoring using Robust Generalized Linear Models. International Journal of Production Research (2005).
  • George Runger, M. Testik, F. Tsung. Relationships among Control Charts Used with Feedback Control. Quality and Reliability Engineering International (2005).
  • M Testik, George Runger. One-Sided Multivariate Control Charts. IIE Transactions (2005).
  • P Backus, M Janakiram, S Mowzoon, George Runger, A Bhargava. Factory Cycle-Time Prediction with a Data-Mining Approach. IEEE Transactions on Semiconductor Manufacturing (2005).
  • Y. Shao, John Fowler, George Runger. A Note on Determining an Optimal Target by Considering the Dependence of Holding Costs and the Quality Characteristics. Journal of Applied Statistics (2005).
  • Testik, M (Author) ,Runger, George (Author) ,Kirkman-Liff, B (Author) ,Smith, E A (Author) . Data Mining and Knowledge Discovery in Healthcare Organizations: A Decision-Tree Approach. Creating Knowledge-Based Healthcare Organizations (2005).
  • Runger, George, Barton, R, Del Castillo, E. Collaborative Research: GOALI: Adjustment and Monitoring Methods for Multiple-Stream and Process-Oriented Quality Control. (2005).
  • Runger, George, Tuv, E. Self-Learning of Decision Rules for Statistical Process Control. (2005).
  • E Tuv, George Runger. Scoring Levels of Categorical Variables with Heterogeneous Data. IEEE Intelligent Systems: Special Issue on Data and Information Cleaning and Preprocessing (2004).
  • M Testik, J Cochran, George Runger. Adaptive Server Staffing in the Presence of Time-Varying Arrivals: A Feed-Forward Control Approach. Journal of Operational Research Society (2004).
  • B Nelson, George Runger. Process Forecasting with a Dynamic Time Warping Algorithm and a Dynamic Template. J. of Quality Technology (2003).
  • M Carlyle, D Montgomery, George Runger. Optimization Problems and Methods in Quality Control and Improvement. J. of Quality Technology (2000).

Research Activity