Faculty

Institution

Unit

Venue

Peng Wang

Assistant Professor

University of Kentucky

Affiliations

Stanley and Karen Pigman College of Engineering

Electrical & Computer Engineering

Mechanical and Aerospace Engineering

Peng Wang is currently serving as an Electrical & Computer Engineering Assistant Professor at University of Kentucky.

Honors

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Experiences

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Education

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Peng Wang

University of Kentucky

Assistant Professor

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mechanical engineering systems engineering machine learning engineering manufacturing deep learning manufacturing technology computer science advanced manufacturing technologies manufacturing science reliability engineering robotics condition monitoring computer vision manufacturing systems manufacturing engineering fault diagnosis industrial informatics automatic control convolutional neural networks mechanical systems signal processing smart manufacturing additive manufacturing tool wear transfer learning precision engineering welding process digital manufacturing sustainable manufacturing computer-integrated manufacturing power electronics machine learning research process control life prediction instrumentation engineering sensor technology human pose estimation production engineering automation engineering fault analysis process monitoring advanced manufacturing industrial electronics failure detection machine health monitoring machine fault diagnosis human action recognition tool condition prognosis vehicular technology electronics steel research service life prediction reliability prediction virtual instrumentation analytical instrumentation production technologies material modeling computer-aided manufacturing object recognition processing and manufacturing image segmentation industrial robotics automation in construction digital twin welder behavior analysis human-robot interactive welding induction motors fused deposition modeling tool wear prediction enhanced particle filter welding case study layer-wise relevance propagation cloud manufacturing gearbox fault diagnosis research challenges ai-based process optimization technology robotics automation artificial intelligence automated manufacturing energy storage

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Hierarchical Modeling Strategy for Condition Monitoring and Fault Diagnosis of Wind Turbine Using Scada Data. Measurement (2024)

Zhenyu WuYanting LiPeng Wang

reliability engineeringcalibrationhierarchical modeling strategycontrol optimizationsystem measurementwind turbinesystem safetyreliabilitycontrol systemsaerospace engineeringfailure detectionfailure predictionwind powermechanical engineeringfault managementdiagnosisautomatic controlprecision engineeringfault analysisscada dataengineering

Digital Twin-Based Pursuit-Evasion Gaming Strategy Optimization for Underwater Robot Grasping. (2024)

Xubo YangJian GaoPeng WangSiqing SunYufeng Li

underwater robot graspingcomputer scienceroboticsunderwater robot

Digital Twin-Based Stress Prediction for Autonomous Grasping of Underwater Robots With Reinforcement Learning. Expert Systems with Applications (2024)

Xubo YangJian GaoPeng WangYufeng LiShengfa WangJinglu Li

intelligent computingcontrol optimizationautonomous graspingintelligent systemsdeep reinforcement learningartificial intelligenceintelligent robotic systemsrobot controlcognitive sciencemachine learningcognitive roboticsroboticsreinforcement learningrobot learningautomatic controldigital twinningcomputer scienceneuroscienceintelligent robotics

Ontology-Integrated Tuning of Large Language Model for Intelligent Maintenance. CIRP Annals (2024)

Peng WangJohn KarigiannisRobert X. Gao

reliability engineeringtext miningdeep learningknowledge discoverydata scienceartificial intelligenceintelligent maintenanceontology versioningcognitive scienceasic implementationknowledge managementprototype implementationautomatic controlomics integrationknowledge graphsontology-integrated tuninginformation retrievalfeedback loopneuroscienceinformation fusion

Proenkephalin Improves Risk Prediction in Acute Coronary Syndromes: Derivation and External Validation of the Kid-Acs Risk Score. European Heart Journal (2024)

F A WenzlP WangM ArrigoJ ParenicaD J L JonesO HartmannS KralerG G CamiciA BergmannT H CaoM RoffiL RaeberA MebazaaL L NgT F Luescher

public healthcardiologyrisk predictionrisk model validationcardiovascular researchepidemiologydisease risk assessmentbiostatisticsexternal validationintensive careprognosisprognostic evaluationkid-acs risk scorecardiac pathologiesacute coronary syndromescardiovascular disease

Social Learning With Actor–Critic for Dynamic Grasping of Underwater Robots via Digital Twins. Ocean Engineering (2024)

Xubo YangJian GaoPeng WangWenyi LongChongbo Fu

digital twinsunderwater robotroboticsdynamic graspingocean engineeringengineering

Transfer Learning With Cross-Domain Adaptation of Vibro-Acoustic Signals for Electric Motor Mechanical Fault Detection and Diagnosis.. NOISE-CON proceedings (2024)

Srinivasa Rao IppiliMatthew RussellPeng WangDavid W. Herrin

noise controlmechanical engineeringcross-domain adaptationvibro-acoustic signalsfault detectionnoisetransfer learningnoise reduction

Advanced Process Characterization and Machine Learning-Based Correlations Between Interdiffusion Layer and Expulsion in Spot Welding. Journal of Manufacturing Processes (2023)

Joseph KershawHassan Ghassemi-ArmakiBlair E. CarlsonPeng Wang

spot weldinginterdiffusion layermachine learning-based correlationsadvanced process characterizationmachine learningprocess engineeringmanufacturing

Comparison and Explanation of Data-Driven Modeling for Weld Quality Prediction in Resistance Spot Welding. Journal of Intelligent Manufacturing (2023)

Matthew RussellJoseph KershawYujun XiaTianle LvYongbing LiHassan Ghassemi-ArmakiBlair E. CarlsonPeng Wang

data-driven modelingstatistical learning theorymachine learning researchdata scienceresistance spotmanufacturing technologymachine learningpredictive analyticsindustrial artificial intelligencecomputer-integrated manufacturingmechanical engineeringwelding processsteel researchmanufacturingmanufacturing engineeringindustrial engineeringdata modelingdata-driven predictionindustrial informaticsweld quality predictionengineering

Deep Learning Based Automatic Porosity Detection of Laser Powder Bed Fusion Additive Manufacturing. Lecture notes in mechanical engineering (2023)

Syed Ibn MohsinBehzad FarhangPeng WangYiran YangNarges ShayestehFazleena Badurdeen

materials sciencemechanical engineeringmanufacturing technologymaterials engineeringadvanced manufacturingmanufacturing engineeringlaser processing technologydeep learningautomatic porosity detectionadvanced manufacturing technologies3d printingmanufacturingadditive manufacturingengineering

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Peng Wang

Assistant Professor

University of Kentucky

Affiliations

Stanley and Karen Pigman College of Engineering

Electrical & Computer Engineering

Mechanical and Aerospace Engineering

Peng Wang is currently serving as an Electrical & Computer Engineering Assistant Professor at University of Kentucky.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Peng Wang

University of Kentucky

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Hierarchical Modeling Strategy for Condition Monitoring and Fault Diagnosis of Wind Turbine Using Scada Data. Measurement (2024)

Zhenyu WuYanting LiPeng Wang

Digital Twin-Based Pursuit-Evasion Gaming Strategy Optimization for Underwater Robot Grasping. (2024)

Xubo YangJian GaoPeng WangSiqing SunYufeng Li

underwater robot graspingcomputer scienceroboticsunderwater robot

Digital Twin-Based Stress Prediction for Autonomous Grasping of Underwater Robots With Reinforcement Learning. Expert Systems with Applications (2024)

Xubo YangJian GaoPeng WangYufeng LiShengfa WangJinglu Li

Ontology-Integrated Tuning of Large Language Model for Intelligent Maintenance. CIRP Annals (2024)

Peng WangJohn KarigiannisRobert X. Gao

Proenkephalin Improves Risk Prediction in Acute Coronary Syndromes: Derivation and External Validation of the Kid-Acs Risk Score. European Heart Journal (2024)

F A WenzlP WangM ArrigoJ ParenicaD J L JonesO HartmannS KralerG G CamiciA BergmannT H CaoM RoffiL RaeberA MebazaaL L NgT F Luescher

Social Learning With Actor–Critic for Dynamic Grasping of Underwater Robots via Digital Twins. Ocean Engineering (2024)

Xubo YangJian GaoPeng WangWenyi LongChongbo Fu

digital twinsunderwater robotroboticsdynamic graspingocean engineeringengineering

Transfer Learning With Cross-Domain Adaptation of Vibro-Acoustic Signals for Electric Motor Mechanical Fault Detection and Diagnosis.. NOISE-CON proceedings (2024)

Srinivasa Rao IppiliMatthew RussellPeng WangDavid W. Herrin

noise controlmechanical engineeringcross-domain adaptationvibro-acoustic signalsfault detectionnoisetransfer learningnoise reduction

Advanced Process Characterization and Machine Learning-Based Correlations Between Interdiffusion Layer and Expulsion in Spot Welding. Journal of Manufacturing Processes (2023)

Joseph KershawHassan Ghassemi-ArmakiBlair E. CarlsonPeng Wang

spot weldinginterdiffusion layermachine learning-based correlationsadvanced process characterizationmachine learningprocess engineeringmanufacturing

Comparison and Explanation of Data-Driven Modeling for Weld Quality Prediction in Resistance Spot Welding. Journal of Intelligent Manufacturing (2023)

Matthew RussellJoseph KershawYujun XiaTianle LvYongbing LiHassan Ghassemi-ArmakiBlair E. CarlsonPeng Wang

Deep Learning Based Automatic Porosity Detection of Laser Powder Bed Fusion Additive Manufacturing. Lecture notes in mechanical engineering (2023)

Syed Ibn MohsinBehzad FarhangPeng WangYiran YangNarges ShayestehFazleena Badurdeen

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Similar Faculty Members

YuMing Zhang

Institution

University of Kentucky

engineering

mechanical engineering

Kazuo Yamazaki

Institution

University of California, Davis

surface machining

industrial automation

Ibrahim Nur Tansel

Institution

Florida International University

mechanical engineering

engineering

Sagar Kamarthi

Institution

Northeastern University

smart manufacturing

sustainable manufacturing

Dragan Djurdjanovic

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University of Texas at Austin

quality technology

manufacturing system

Tzu-Liang Tseng

Institution

University of Texas at El Paso

industrial informatics

design

Chenhui Shao

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University of Illinois Urbana-Champaign

data science

digital manufacturing

Sang Yoon

Institution

Binghamton University

industrial engineering

smart manufacturing

Dan Popa

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robotics automation

human robot interaction

Rahul Rai

Institution

Clemson University

manufacturing

industrial informatics