Haitao Liao is an Associate Professor in the Systems and Industrial Engineering
Department at the University of Arizona, Tucson. Dr. Liao received his Ph.D. in
Industrial and Systems Engineering from Rutgers University. He holds a bachelors degree
in Electrical Engineering from Beijing Institute of Technology, Beijing, China and
masters degrees in Statistics and Industrial Engineering both from Rutgers University. 

At the University of Arizona, he teaches courses in Reliability Engineering,
Maintainability Engineering, and Engineering Statistics. He is currently the Director of
the Reliability and Intelligent Systems Engineering (RISE) Laboratory. The laboratory
research is directed toward the development of diagnostic and prognostic methods for
complex engineering systems, the modeling and analysis of reliability testing and service
logistics, and the development of instrument and control technologies. 

Dr. Liao’s current research efforts focus on accelerated testing, coordination of life
cycle reliability and service logistics, applied statistics, renewable energy, and energy
saving technologies. His research is funded by the National Science Foundation, the
Department of Energy, the Nuclear Regulatory Commission, Hong Kong Research Grant
Council, and Industry. He is an Assistant Area Editor of Computers & Industrial
Engineering, and is the author of more than fifty peer reviewed publications. He is a
recipient of the National Science Foundation CAREER Award in 2010. 

He is the father of a little girl, Jessica, who has brought joys and special meanings to
his family since 2008. 

Articles

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Availability Optimization of Systems Subject to Competing Risk (with Y. Zhu, E. A. Elsayed, and L. Y. Chan), European Journal of Operational Research (2010)

This paper considers a competing risk (degradation and sudden failure) maintenance situation. A maintenance model...

 

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Reliability Growth Modeling for In-service Electronic Systems Considering Latent Failure Modes (with Tongdan Jin and Madhu Kilari), Microelectronics Reliability (2010)

A latent failure mode is a type of failure that may not occur until the...

 

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Equivalent Accelerated Life Testing Plans for Log-Location-Scale Distributions (with Elsayed Elsayed), Naval Research Logistics (2010)

Accelerated life testing (ALT) is widely used to determine the failure time distribution of a...

 

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A Two-stage Approach for Multi-objective Decision Making with Applications to System Reliability Optimization (with Zhaojun Li and David W. Coit), Reliability Engineering & System Safety (2009)

This paper proposes a two-stage approach for solving multi-objective system reliability optimization problems. In this...

 

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Spare Parts Inventory Control Considering Stochastic Growth of an Installed Base (with Tongdan Jin), Computers & Industrial Engineering (2009)

Installed base is a measure describing the number of units of a particular system actually...