Kaibo Liu

Assistant Professor

Room: 3017
Mechanical Engineering Building
1513 University Avenue
Madison, WI 53706

Ph: (608) 890-3546
kliu8@wisc.edu


Education

  • Ph.D. 2013, Industrial Engineering (Minor: Machine Learning), Georgia Institute of Technology
  • M.S. 2011, Statistics, Georgia Institute of Technology
  • B.S. 2009, Industrial Engineering and Engineering Management, Hong Kong University of Science and Technology, Hong Kong

Education

  • Ph.D. 2013, Industrial Engineering (Minor: Machine Learning), Georgia Institute of Technology
  • M.S. 2011, Statistics, Georgia Institute of Technology
  • B.S. 2009, Industrial Engineering and Engineering Management, Hong Kong University of Science and Technology, Hong Kong

Research Interests

  • System Informatics and Data Analytics for Quality Improvement
  • Data Fusion for Process Modeling, Monitoring, Diagnosis and Prognostics
  • Statistical Learning and Data Mining
  • Statistical Process Control

 

I am always looking for collaboration opportunities in multidisciplinary research with academic and industry researchers. 

Awards, Honors and Societies

  • Richard A. Freund International Scholarship, American Society for Quality (ASQ), 2013
  • Best Student Paper Award in the Industrial and Systems Engineering Research Conference (ISERC), for the paper “Adaptive Sensor Allocation Strategy for Process Monitoring and Diagnosis in a Bayesian Network,” 2013
  • Best Student Paper Award in Data Mining Section of INFORMS, for the paper “Health Index Development Based on Sensory Data Fusion for Degradation Modeling and Prognostic Analysis,” 2012
  • Best Student Paper Award Finalist in Quality, Statistics, and Reliability Section of INFORMS, for the paper “Physician Performance Assessment Using a Composite Quality Index,” 2012    
  • Gilbreth Memorial Fellowship, Institute of Industrial Engineers (IIE), 2012
  • CELT/BP Outstanding Teaching Assistant Award Finalist, Georgia Institute of Technology, 2011 (one nominee for each School at GT)
  • Outstanding Research Poster Presentation Award, Georgia Tech Research and Innovation Conference, 2011
  • Wall George Stipend Fellowship, Department of Industrial and System Engineering, Georgia Institute of Technology, 2009 - 2010

Publications

  • Liu, K. and Shi, J. (2013), “Objective-Oriented Optimal Sensor Allocation Strategy for Process Monitoring and Diagnosis by Multivariate Analysis in a Bayesian Network”, IIE Transactions, 45, 630–643.
  • Jin, R. and Liu, K. (2013), “Multistage Multimode Process Monitoring Based on a Piecewise Linear Regression Tree Considering Modeling Uncertainty”, IIE Transactions, 45, 617-629.
  • Liu, K., Gebraeel, N., and Shi, J. (2013), “A Data-Level Fusion Model for Developing Composite Health Indices for Degradation Modeling and Prognostic Analysis”, IEEE Transactions on Automation Science and Engineering, 10, 652 – 664. (This paper received Best Student Paper Award in Data Mining Section of INFORMS, 2012)
  • Liu, K., Jain, S., and Shi, J. (2013), “Physician Performance Assessment Using a Composite Quality Index”, Statistics in Medicine, 32, 15, 2661-2680. (This paper received Best Student Paper Award Finalist in Quality, Statistics, and Reliability Section of INFORMS, 2012)
  • Liu, K., Zhang, X., and Shi, J. (2013), “Adaptive Sensor Allocation Strategy for Process Monitoring and Diagnosis in a Bayesian Network”, in press, IEEE Transactions on Automation Science and Engineering. (This paper received Best Student Paper Award in the Industrial and Systems Engineering Research Conference (ISERC), 2013)

Student Recruitment

Dr. Kaibo Liu is actively looking for qualified Ph.D. students who will start in fall 2014. Undergraduate or graduate students from top universities with background in statistics, computer science and engineering are encouraged to apply. If you are interested, please send your information (e.g. resume, transcripts, award certificates and TOEFL/GRE scores) to kliu8@wisc.edu. Accepted Ph.D. students will be provided with full financial support.

Memberships

  • INFORMS
  • IIE
  • ASQ
  • ASME
  • IEEE

Courses

Fall 2014-2015

  • ISYE 691 - Special Topics in Industrial Engineering

  • ISYE 512 - Inspection, Quality Control and Reliability
  • ME 512 - Inspection, Quality Control and Reliability

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