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Dr. Jian Liuis an Associate Professor in the Department of Systems & Industrial Engineering at the University of Arizona and an affiliated faculty member in the Graduate Interdisciplinary Degree Program at The University of Arizona. He received the B.S. and M.S. degrees in Precision Instruments & Mechanology from the Tsinghua University, China in 1999 and 2002, respectively; the M.S. degree in Industrial Engineering, the M.S. degree in Statistics and the Ph.D. in Mechanical Engineering and Industrial and Operation Engineering, all from the University of Michigan in 2005, 2006 and 2008, respectively.
Dr. Liu has more than ten years of research experience in data analytics and system informatics. His research specialty is in the fusion of multi-source, multi-scale and multi-level information in hierarchical and distributed systems for better system design, operation, and maintenance. By integrating engineering knowledge, optimization algorithms and the statistical analysis and learning of massive high-dimensional data, Dr. Liu and his research team advance the scientific research in system performance modeling, system prognostic/diagnostic, decision-making and risk management. These methodological advancements have been successfully applied in a variety of domains, such as manufacturing engineering systems, chemical and civil engineering systems and geographical information systems. His collaborations with domain experts have resulted in joint research projects in quality and reliability improvement for machining/assembly processes, mono-crystalline processes, and service improvement for water systems, software systems, and food assistance provision systems. Dr. Liu and his research team have published research papers in prestigious journals and conference proceedings, such as IISE-Transactions, IEEE Transactions, ASME Transactions and IISE annual conference proceedings. Dr. Liu’s research has been funded by US National Science Foundation, US Department of Homeland Security and US Air Force Office of Scientific Research.
Dr. Liu is a member of INFORMS and a member of IISE. He served as a Council Member of Quality, Statistics and Reliability Section of INFORMS from 2012 to 2014, a Board Director of the Quality Control and Reliability Engineering (QCRE) Division of IISE from 2013 to 2015, the President-Elect of QCRE from 2015 to 2016. Dr. Liu is currently the President of the QCRE of IISE.Show Less
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Courses
- QEQuality Engineering
- FDSEFundamentals of Data Science for Engineers
- ESEngineering Statistics
- ISIEMPSIntroduction to SIE Methods: Probability and Statistics
- AQEAdvanced Quality Engineering
Grants
- Wearables Applied Research Center (Project 2: Human Cognitive Study)
Co-Investigator (COI)
2022
$499.0K
Active - Wearables Applied Research Center (Project 1: Simulator Study)
Co-Investigator (COI)
2022
$394.5K
Active - AV Perception Redundancy Assessment and Validation Project
Principal Investigator (PI)
2021
$91.5K
Active - Actively Managed Battery Degradation of IoT Wireless Sensors for Group Replacement
Co-Investigator (COI)
2020
$479.0K
Active - Fusing Data Analytics with Hydraulics in a Hydroinformatics Approach for Water Distribution System Monitoring
Co-Investigator (COI)
2018
$502.4K
- DDDAMS-Based Border Surveillance and Crowd Control via Aerostats and Teams of UAVs and UGVs
Co-Investigator (COI)
2017
$250.0K
- Quantification and Reduction of Spatial Scale Induced Uncertainty
Co-Investigator (COI)
2015
$117.2K
- An Adaptive Distributed Approach to DDAS for Surveillance Missions with UAV Swarms
Co-Investigator (COI)
2015
$65.5K
- DDDAMS-based Urban Surveillance and Crowd Control via UAV's and UGV's
Co-Investigator (COI)
2012
$621.6K
- Collaborative Research: Multi-Level Data Fusion for Real-Time Prognostic Health Management of Hierarchical Systems
Principal Investigator (PI)
2011
$249.3K
Technologies / Patents
News
- Tech On Tap: UA Inventors Address World Water Woes
2019
- UA Pioneers More Effective Control for Border Patrol
2017
Publications (42)
Recent
- A partition and microstructure based method applicable to large-scale topology optimization
2022
- span style= font-size:11pt; Recoverability effects on reliability assessment for accelerated degradation testing /span
2022
- span style= font-size:11pt; Quantifying Error Propagation in Multi-Stage Perception System of Autonomous Vehicles via Physics-Based Simulation /span span style= font-size:medium; /span
2022
- Bayesian Modeling of Crowd Dynamics by Aggregating Multiresolution Observations From UAVs and UGVs
2022
- SEMFA: A General Framework for Inferring Statistical Significance of Mahalanobis Similarity between Multi-Omics Profiled Samples Using Extended Multiple Factor Analysis
2021
- On fusion methods for knowledge discovery from multi-omics datasets
2020
- Parametric Test of Mahalanobis Similarity Between SNPs on Multi-omics datasets by Using Multiple Factor Analysis-based data fusion
2020
- Heterogeneous Omics Data Integration for Prioritization of SNP Pairs with Epigenomic Similarity using Multiple Factor Analysis-based Bootstrap Test
2020
- Detecting Burst in Water Distribution System via Penalized Functional Decomposition
2020
- Higher-order normal approximation approach for highly reliable system assessment
2020
- Sensor Technology: Mexican American Caregiving Families
2019
- Symposium The Tipping Point Study, Digital Detection and Decision Support for Older Adults and Families
2019
- Effective and Efficient Detection of Moving Targets From a UAV's Camera
2018
- Bayesian nonparametric modeling of heterogeneous time-to-event data with an unknown number of sub-populations
2017
- Vision-Based Target Detection and Localization via a Team of Cooperative UAV and UGVs
2016
- Software reliability growth modeling and analysis with dual fault detection and correction processes
2016
- Bayesian hazard modeling based on lifetime data with latent heterogeneity
2016
- Improving the rapidity of responses to pipe burst in water distribution systems: a comparison of statistical process control methods
2015
- Improved Reliability-Based Decision Support Methodology Applicable in System-Level Failure Diagnosis and Prognosis (vol 50, pg 2630, 2014)
2015
- Proportional hazard modeling for hierarchical systems with multi-level information aggregation
2014
- Bayesian modeling of multi-state hierarchical systems with multi-level information aggregation
2014
- Improving resilience of water distribution system through burst detection
2013
- Process-oriented tolerancing using the extended stream of variation model
2013
- Variation propagation modelling for multi-station machining processes with fixtures based on locating surfaces
2013
- Semiautonomous industrial mobile manipulation for industrial applications
2013
- Diagnosing Multistage Manufacturing Processes With Engineering-Driven Factor Analysis Considering Sampling Uncertainty
2013
- Quality-driven workforce performance evaluation based on robust regression and ANOMR/ANOMRV chart
2013
- Performance improvement for high accuracy assembly process in manufacturing automation
2013
- Quality prediction and compensation in multi-station machining processes using sensor-based fixtures
2012
- State space modeling of variation propagation in multistation machining processes considering machining-induced variations
2012
- Design of multi-station manufacturing processes by integrating the stream-of-variation model and shop-floor data
2011
- Bayesian reliability modeling of multi-level system with interdependent subsystems and components
2011
- Causal analysis for troubleshooting and decision support system
2011
- State space modeling for 3-D variation propagation in rigid-body multistage assembly processes
2010
- Variation reduction for multistage manufacturing processes: A comparison survey of statistical-process-control vs stream-of-variation methodologies
2010
- Predictive control considering model uncertainty for variation reduction in multistage assembly processes
2010
- Quality-assured setup planning based on the stream-of-variation model for multi-stage machining processes
2009
- Limitations of the current state space modelling approach in multistage machining processes due to operation variations
2009
- Engineering-driven factor analysis for variation source identification in multistage manufacturing processes
2008
- Quality assured setup planning based on the stream-of-variation model for multi-stage machining processes
2006
- Optimal part family and production module planning for reconfigurable manufacturing systems
2006
- Engineering driven cause-effect modeling and statistical analysis for multi-operational machining process diagnosis
2005