Haitao Liao
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Professor, John & Mary Lib White Systems Integration Chair
Also affiliated: Rutgers, The State University of New Jersey (2005–2006); Tongji University (2005); Beijing Institute of Technology (2023); Nanjing Tech University (2025); University of Arizona (2012–2016); North China Electric Power University (2015–2016); Guangxi Medical University (2010–2020); Shenzhen University (2022); Harbin Institute of Technology (2025); University of Arkansas System (2021); Knoxville College (2011); Wichita State University (2005–2009); First Affiliated Hospital of GuangXi Medical University (2020); Horological Research Institute of Light Industry (2011); Xi'an High Tech University (2011); Hunan Children's Hospital (2022); The White House (2026); Fayetteville Public Library (2025); Laboratoire de Synthèse Organique (2025); University of Wisconsin–Milwaukee (2005); Xiangtan University (2021–2025); Southwest Jiaotong University (2023–2024); University of Cincinnati (2005); University of Tennessee at Knoxville (2008–2011); Rogers (United States) (2015)
Faculty Researcher
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Haitao Liao's research focuses on reliability engineering, system maintenance, and risk management, with applications in critical infrastructure and engineering systems. He has published extensively on topics such as remaining useful life prediction, optimal maintenance scheduling, and condition-based maintenance for multi-state and multi-unit systems. His work also addresses resilience-based restoration strategies for critical infrastructures facing uncertainty and the development of physics-informed machine learning models for degradation analysis in electro-hydrostatic actuator systems.
Liao's research group investigates the application of advanced mathematical models, including isotonic regression, Gamma processes, and nonlinear Wiener processes, to analyze degradation and failure mechanisms in complex systems. He also explores optimal test designs for accelerated life testing using Inverse Gaussian process models. His scholarly contributions are reflected in a high h-index of 40 and over 6,300 citations from 242 publications, designating him as a highly cited researcher. He has collaborated with researchers at the University of Arkansas at Fayetteville, including Minh Quan Tran, Chase Rainwater, and Roy McCann.
Metrics
- h-index: 41
- Publications: 242
- Citations: 6,420
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
- 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
- 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
- Joint Lot-Sizing and Maintenance in Production Systems with Partial Buffer Consumption
- 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
- 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
- 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
- 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
- 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
- System Simulation And Machine Learning-Based Maintenance Optimization For An Inland Waterway Transportation System
- Network Reliability Enhancement Using Machine Learning and Metaheuristics
- A Machine Learning Framework for Joint Reliability Improvement and Maintenance of All-Terminal Networks
- SSL-MTab: Self-Supervised Distillation for Missing Data in Tabular Prediction Tasks
- 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
- 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
- Generalized Functional Mixed Models for Accelerated Degradation-Based Reliability Analysis
- Network Reliability Enhancement Using Machine Learning and Metaheuristics
- A Machine Learning Framework for Joint Reliability Improvement and Maintenance of All-Terminal Networks
- 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
- 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
- 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
- Optimal maintenance over a finite time horizon for a system under imperfect inspection and dynamic working environment
- Optimal Maintenance of a System With Multiple Deteriorating Components Served by Dedicated Teams