H
Haitao Liao Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
High Impact
Professor, John & Mary Lib White Systems Integration Chair
faculty
39 h-index
241 pubs
6,245 cited
Research Areas
Biography and Research Information
OverviewAI-generated summary
Haitao Liao is a Professor and the John & Mary Lib White Systems Integration Chair at the University of Arkansas at Fayetteville. His research focuses on reliability engineering, risk assessment, and maintenance optimization for complex systems. Liao has published extensively on topics including remaining useful life prediction, optimal maintenance scheduling, and condition-based maintenance planning, often employing stochastic process models and physics-informed machine learning approaches. His work also addresses risk and resilience in critical infrastructure restoration and the development of advanced models for system degradation and shock processes.
His research group has explored diverse applications, including the development of an aerial image segmentation transformer (AerialFormer) and the degradation modeling of electro-hydrostatic actuator systems. Liao's scholarship metrics include an h-index of 39, with over 245 publications and 6,120 citations, designating him as a highly cited researcher. He actively collaborates with colleagues at the University of Arkansas at Fayetteville, including Chase Rainwater, Roy McCann, Kelly M. Sullivan, and Heather Nachtmann, with whom he has co-authored multiple publications.
Metrics
- h-index: 39
- Publications: 241
- Citations: 6,245
Selected Publications
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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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A predictive maintenance framework based on real-time credibility evaluation of remaining useful life prediction results (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)
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Generalized Functional Mixed Models for Accelerated Degradation-Based Reliability Analysis (2024)
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Fleet Service Reliability Analysis of Self-Service Systems Subject to Failure-Induced Demand Switching and a Two-Dimensional Inspection and Maintenance Policy (2024)
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AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation (2024)
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A chance-constrained net revenue model for online dynamic predictive maintenance decision-making (2024)
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Optimal resilience-based restoration of a system subject to recurrent dependent hazards (2024)
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A Statistical Model for Multisource Remote-Sensing Data Streams of Wildfire Aerosol Optical Depth (2024)
Collaboration Network
Top Collaborators
Yao Cheng
University of Hong Kong (HK)
6 shared publications
- Optimal sampling-based sequential inspection and maintenance plans for a heterogeneous product with competing failure modes
- Optimal degradation-based hybrid double-stage acceptance sampling plan for a heterogeneous product
- Optimal resilience-based restoration of a system subject to recurrent dependent hazards
- 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 6 shared publications
Xiaohong Zhang
Taiyuan University of Science and Technology (CN)
4 shared publications
- Optimal Condition-based Opportunistic Maintenance and Spare Parts Provisioning for a Two-unit System using a State Space Partitioning Approach
- A chance-constrained net revenue model for online dynamic predictive maintenance decision-making
- Real-Time Evaluation of the Credibility of Remaining Useful Life Prediction Result
- A predictive maintenance framework based on real-time credibility evaluation of remaining useful life prediction results
Jianchao Zeng
North University of China (CN)
4 shared publications
- Optimal Condition-based Opportunistic Maintenance and Spare Parts Provisioning for a Two-unit System using a State Space Partitioning Approach
- A chance-constrained net revenue model for online dynamic predictive maintenance decision-making
- Real-Time Evaluation of the Credibility of Remaining Useful Life Prediction Result
- A predictive maintenance framework based on real-time credibility evaluation of remaining useful life prediction results
Guannan Shi
Taiyuan University of Science and Technology (CN)
4 shared publications
- Optimal Condition-based Opportunistic Maintenance and Spare Parts Provisioning for a Two-unit System using a State Space Partitioning Approach
- A chance-constrained net revenue model for online dynamic predictive maintenance decision-making
- Real-Time Evaluation of the Credibility of Remaining Useful Life Prediction Result
- A predictive maintenance framework based on real-time credibility evaluation of remaining useful life prediction results
Xiaobing Ma
Beihang University (CN)
4 shared publications
- Remaining Useful Life Prediction and Optimal Maintenance Time Determination for a Single Unit Using Isotonic Regression and Gamma Process Model
- 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
Songlin Nie
Beijing University of Technology (CN)
4 shared publications
- Physics-Informed Machine Learning for Degradation Modeling of an Electro-Hydrostatic Actuator System
- Optimal design of hybrid accelerated test based on the Inverse Gaussian process model
- SNIF-DFA: A Signal Processing and Information Fusion Method for Smart Gua Sha Device
- A load spectra design method for multi-stress accelerated testing
Xuejiao Tang
Xiangtan University (CN)
4 shared publications
- Effect of Arylmethylene Substitutions on Molecular Structure, Optoelectronic Properties and Photovoltaic Performance of Dithienocyclopentafluorene‐Based Small‐Molecule Acceptors
- Hybrid Dihalogenation on the End Group of Indacenodithieno[3,2-<i>b</i>]thiophene-Based Small-Molecule Acceptors Enables Efficient Polymer Solar Cells Processed from Nonhalogenated Solvents and Additives
- Improving the Photovoltaic Performance of PBDB-T:PC<sub>71</sub>BM-Based Ternary Solar Cells by Employing Arylmethylene-Substituted Small Molecules as the Guest Acceptor
- Tetracyanobutadiene- and dicyanoquinodimethane-functionalized D′-A-(π)-D-(π)-A-D′ type indacenodithiophene small-molecule chromophores: Synthesis, optoelectronic properties and photovoltaic response
Chao Weng
Xiangtan University (CN)
4 shared publications
- Effect of Arylmethylene Substitutions on Molecular Structure, Optoelectronic Properties and Photovoltaic Performance of Dithienocyclopentafluorene‐Based Small‐Molecule Acceptors
- Hybrid Dihalogenation on the End Group of Indacenodithieno[3,2-<i>b</i>]thiophene-Based Small-Molecule Acceptors Enables Efficient Polymer Solar Cells Processed from Nonhalogenated Solvents and Additives
- Improving the Photovoltaic Performance of PBDB-T:PC<sub>71</sub>BM-Based Ternary Solar Cells by Employing Arylmethylene-Substituted Small Molecules as the Guest Acceptor
- Tetracyanobutadiene- and dicyanoquinodimethane-functionalized D′-A-(π)-D-(π)-A-D′ type indacenodithiophene small-molecule chromophores: Synthesis, optoelectronic properties and photovoltaic response
Ping Shen
Soochow University (CN)
4 shared publications
- Effect of Arylmethylene Substitutions on Molecular Structure, Optoelectronic Properties and Photovoltaic Performance of Dithienocyclopentafluorene‐Based Small‐Molecule Acceptors
- Hybrid Dihalogenation on the End Group of Indacenodithieno[3,2-<i>b</i>]thiophene-Based Small-Molecule Acceptors Enables Efficient Polymer Solar Cells Processed from Nonhalogenated Solvents and Additives
- Improving the Photovoltaic Performance of PBDB-T:PC<sub>71</sub>BM-Based Ternary Solar Cells by Employing Arylmethylene-Substituted Small Molecules as the Guest Acceptor
- Tetracyanobutadiene- and dicyanoquinodimethane-functionalized D′-A-(π)-D-(π)-A-D′ type indacenodithiophene small-molecule chromophores: Synthesis, optoelectronic properties and photovoltaic response
Yian Wei
University of Hong Kong (HK)
4 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
Han Wang
Beihang University (CN)
3 shared publications
- Remaining Useful Life Prediction and Optimal Maintenance Time Determination for a Single Unit Using Isotonic Regression and Gamma Process Model
- Stochastic Multi-phase Modeling and Health Assessment for Systems Based on Degradation Branching Processes
- A new class of mechanism-equivalence-based Wiener process models for reliability analysis
Zhonghai Ma
Beijing University of Technology (CN)
3 shared publications
- Physics-Informed Machine Learning for Degradation Modeling of an Electro-Hydrostatic Actuator System
- Optimal design of hybrid accelerated test based on the Inverse Gaussian process model
- A load spectra design method for multi-stress accelerated testing
Rui Bao
Beihang University (CN)
2 shared publications
- Remaining Useful Life Prediction and Optimal Maintenance Time Determination for a Single Unit Using Isotonic Regression and Gamma Process Model
- A new class of mechanism-equivalence-based Wiener process models for reliability analysis
Basem A. Alkhaleel
King Saud University (SA)
2 shared publications
- 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
Kelly M. Sullivan
University of Arkansas at Fayetteville
2 shared publications
In database
- 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