Haitao Liao
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Professor
Also affiliated: Rutgers, The State University of New Jersey (2005–2006); University of Arizona (2012–2016); University of Tennessee System (2011); University of Arkansas System (2021); Wichita State University (2005–2009); University of Wisconsin–Milwaukee (2005); University of Cincinnati (2005); University of Tennessee at Knoxville (2008–2011)
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Haitao Liao is a professor at the University of Arkansas at Fayetteville, holding the John & Mary Lib White Systems Integration Chair. His research group focuses on developing intelligent prognostics and e-maintenance tools for degrading systems. Liao's work has explored condition-based maintenance optimization for multi-component systems, utilizing methods such as the proportional hazards model. He has also investigated hybrid statistical and data-driven approaches for online joint state estimation and developed frameworks for health indicator extraction and optimization for battery degradation modeling and prognostics.
His publications include research on maintenance strategies for continuously monitored degrading systems and reliability inference from accelerated degradation testing. Liao has also published on lithium-ion battery remaining cycle life prediction using indirect health indicators and integrated probabilistic approaches for remaining useful life estimation. His scholarly output is recognized by a high-impact researcher designation, evidenced by an h-index of 41 and over 6,510 citations across 243 publications. Liao collaborates with several researchers at the University of Arkansas at Fayetteville, including Farid Hashemian, Roy McCann, Minh Quan Tran, and Meredith Adkins.
Metrics
- h-index: 39
- Publications: 220
- Citations: 6,243
Positions
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Professor 2015–presentUniversity of Arkansas Department of Industrial Engineering ORCID
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Professor, John & Mary Lib White Systems Integration Chair 2015–presentUniversity of Arkansas at Fayetteville Industrial Engineering ORCID
Selected Publications
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Maintenance Enhancement for a Fleet of Self-Service Systems: A Customer-Incentive-Embedded Dynamic Maintenance Policy (2026)
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SSL-MTab: Self-Supervised Distillation for Missing Data in Tabular Prediction Tasks (2026)
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A vision-based leakage detection framework for roof systems using attention-enhanced deep neural networks (2026)
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A Machine Learning Framework for Joint Reliability Improvement and Maintenance of All-Terminal Networks (2026)
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Network Reliability Enhancement Using Machine Learning and Metaheuristics (2026)
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Physics-and Image-Informed Reliability Prediction for Pipelines Under Competing Failure Modes (2026)
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Joint Lot-Sizing and Maintenance in Production Systems with Partial Buffer Consumption (2026)
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Optimal maintenance of a critical infrastructure subject to dependent recurrent hazards (2025)
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Making an optimal inspection-free maintenance decision for a coherent system subject to hidden malfunctions (2025)
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An Attention-Enhanced YOLOv8 Architecture for Leakage Detection in Building Systems (2025)
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Resilience modeling for an engineered network with multimodal performance under multiple recurrent hazards (2025)
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A predictive maintenance framework based on real-time credibility evaluation of remaining useful life prediction results (2025)
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Modeling the Impact of Corrosion Orientation and Location on Pipeline Reliability (2025)
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S3Former: A Deep Learning Approach to High Resolution Solar PV Profiling (2025)
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A Quantitative Maintenance Policy Development Framework for a Fleet of Self‐Service Systems (2025)
Collaboration Network
Top Collaborators
- Reliability estimation from two types of accelerated testing data considering measurement error
- A Bayesian framework for accelerated reliability growth testing with multiple sources of uncertainty
- Data analysis and resource allocation in Bayesian selective accelerated reliability growth
- Selective maintenance modeling and analysis of a complex system with dependent failure modes
- Bayesian degradation modelling for spare parts inventory management
Showing 5 of 16 shared publications
- Reliability estimation from two types of accelerated testing data considering measurement error
- A simulation framework for optimizing bike rebalancing and maintenance in large-scale bike-sharing systems
- Component replacement and reordering policies for spare parts experiencing two-phase on-shelf deterioration
- A Bayesian framework for accelerated reliability growth testing with multiple sources of uncertainty
- Data analysis and resource allocation in Bayesian selective accelerated reliability growth
Showing 5 of 11 shared publications
- Optimal sampling-based sequential inspection and maintenance plans for a heterogeneous product with competing failure modes
- Optimal resilience-based restoration of a system subject to recurrent dependent hazards
- Optimal degradation-based hybrid double-stage acceptance sampling plan for a heterogeneous product
- From Reliability to Resilience: More Than Just Taking One Step Further
- Fleet Service Reliability Analysis of Self-Service Systems Subject to Failure-Induced Demand Switching and a Two-Dimensional Inspection and Maintenance Policy
Showing 5 of 9 shared publications
- Optimal sampling-based sequential inspection and maintenance plans for a heterogeneous product with competing failure modes
- Optimal resilience-based restoration of a system subject to recurrent dependent hazards
- Fleet Service Reliability Analysis of Self-Service Systems Subject to Failure-Induced Demand Switching and a Two-Dimensional Inspection and Maintenance Policy
- A Quantitative Maintenance Policy Development Framework for a Fleet of Self‐Service Systems
- Resilience modeling for an engineered network with multimodal performance under multiple recurrent hazards
Showing 5 of 9 shared publications
- Hybrid simulation to support interdependence modeling of a multimodal transportation network
- System Simulation And Machine Learning-Based Maintenance Optimization For An Inland Waterway Transportation System
- Applying Machine Learning Methods to Improve All-Terminal Network Reliability
- Hybrid Simulation to Support Interdependence Modeling of a Multimodal Transportation Network
- Modeling the Impact of Corrosion Orientation and Location on Pipeline Reliability
Showing 5 of 7 shared publications
- Reliability analysis for a system experiencing dependent degradation processes and random shocks based on a nonlinear Wiener process model
- Analysis of multivariate dependent accelerated degradation data using a random-effect general Wiener process and D-vine Copula
- Stochastic Modeling and Analysis of Multiple Nonlinear Accelerated Degradation Processes through Information Fusion
- Bayesian accelerated acceptance sampling plans for a lognormal lifetime distribution under Type-I censoring
- A Bayesian least-squares support vector machine method for predicting the remaining useful life of a microwave component
Showing 5 of 6 shared publications
- Stochastic Modeling and Analysis of Multiple Nonlinear Accelerated Degradation Processes through Information Fusion
- Bayesian accelerated acceptance sampling plans for a lognormal lifetime distribution under Type-I censoring
- A Bayesian least-squares support vector machine method for predicting the remaining useful life of a microwave component
- Reliability Analysis with Multiple Dependent Features from a Vibration-Based Accelerated Degradation Test
- Accelerated acceptance sampling plan with asymmetrical information
- Condition-based maintenance planning for multi-state systems under time-varying environmental conditions
- Preventive maintenance of a single machine system working under piecewise constant operating condition
- Preventive maintenance of a batch production system under time-varying operational condition
- Joint optimization of job scheduling and maintenance planning for a two-machine flow shop considering job-dependent operating condition
- Availability Analysis and Preventive Maintenance Planning for Systems with General Time Distributions
- Toolpath allocation and scheduling for concurrent fused filament fabrication with multiple extruders
- Scale and Pose-Invariant Feature Quality Inspection for Freeform Geometries in Additive Manufacturing
- A multi-resolution framework for automated in-plane alignment and error quantification in additive manufacturing
- Concurrent fused filament fabrication with multiple extruders
- Automatic Feature-Based Point Cloud Alignment and Inspection
- Risk and resilience-based optimal post-disruption restoration for critical infrastructures under uncertainty
- Model and solution method for mean-risk cost-based post-disruption restoration of interdependent critical infrastructure networks
- A Bayesian framework for accelerated reliability growth testing with multiple sources of uncertainty
- Data analysis and resource allocation in Bayesian selective accelerated reliability growth
- Bayesian Accelerated Reliability Growth of Complex Systems
- Physics-Informed Machine Learning for Degradation Modeling of an Electro-Hydrostatic Actuator System
- Engineering‐driven performance degradation analysis of hydraulic piston pump based on the inverse Gaussian process
- Optimal design of hybrid accelerated test based on the Inverse Gaussian process model
- Reliability estimation from two types of accelerated testing data considering measurement error
- A load spectra design method for multi-stress accelerated testing
- Risk and resilience-based optimal post-disruption restoration for critical infrastructures under uncertainty
- Model and solution method for mean-risk cost-based post-disruption restoration of interdependent critical infrastructure networks
- Hybrid simulation to support interdependence modeling of a multimodal transportation network
- Resilience improvement of a critical infrastructure via optimal replacement and reordering of critical components
- Hybrid Simulation to Support Interdependence Modeling of a Multimodal Transportation Network
- Remaining Useful Life Prediction and Optimal Maintenance Time Determination for a Single Unit Using Isotonic Regression and Gamma Process Model
- Remaining Useful Life Prediction Considering Joint Dependency of Degradation Rate and Variation on Time-Varying Operating Conditions
- Stochastic Multi-phase Modeling and Health Assessment for Systems Based on Degradation Branching Processes
- Decision-level machinery fault prognosis using N-BEATS-based degradation feature prediction and reconstruction
- A new class of mechanism-equivalence-based Wiener process models for reliability analysis
- Optimal Condition-based Opportunistic Maintenance and Spare Parts Provisioning for a Two-unit System using a State Space Partitioning Approach
- Performance analysis and optimization of a cold standby system subject to δ -shocks and imperfect repairs
- A chance-constrained net revenue model for online dynamic predictive maintenance decision-making
- A predictive maintenance framework based on real-time credibility evaluation of remaining useful life prediction results
- Real-Time Evaluation of the Credibility of Remaining Useful Life Prediction Result
- System Simulation And Machine Learning-Based Maintenance Optimization For An Inland Waterway Transportation System
- Applying Machine Learning Methods to Improve All-Terminal Network Reliability
- A Machine Learning Framework for Joint Reliability Improvement and Maintenance of All-Terminal Networks
- Network Reliability Enhancement Using Machine Learning and Metaheuristics
- SSL-MTab: Self-Supervised Distillation for Missing Data in Tabular Prediction Tasks
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