Faculty

Institution

Unit

Venue

Asok Ray

University Distinguished Professor of Mechanical Engineering and Mathematics Distinguished Professor of Mechanical Engineering and Mathematics

Pennsylvania State University

Affiliations

Eberly College of Science

Department of Mathematics

Penn State College of Engineering

Mechanical Engineering

Nuclear Engineering

Asok Ray is currently serving as a Mathematics University Distinguished Professor of Mechanical Engineering and Mathematics Distinguished Professor of Mechanical Engineering and Mathematics at Pennsylvania State University.

Honors

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Experiences

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Education

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Asok Ray

Pennsylvania State University

University Distinguished Professor of Mechanical Engineering and Mathematics Distinguished Professor of Mechanical Engineering and Mathematics

You can click a keyword to filter the displayed items

systems engineering mechanical engineering control systems engineering automatic control computer science machine learning control engineering pattern recognition control science signal processing fault detection anomaly detection instrumentation computer vision time series state estimation supervisory control control system technology aeronautics reliability engineering mechanical systems thermal engineering condition monitoring nuclear engineering symbolic dynamic filtering failure detection robust control control technology damage-mitigating control information fusion manufacturing technology control management nuclear science control optimization applied mathematical modelling control design path planning fault analysis control architecture mechanical structures language measure industrial informatics rocket engine feature extraction nuclear reactor nuclear power plants combustion science energy analysis integrated control target detection reusable rocket engine thermoacoustic instabilities computational intelligence information technology advanced manufacturing technologies power engineering health monitoring system identification fault diagnosis structural analysis combustion instability regular languages cybernetics power electronics mathematical control theory stochastic modeling life-extending control fatigue crack damage pattern identification energy research sensor technology fault estimation information theory fatigue crack growth estimation theory applied artificial intelligence automation intelligent computing artificial intelligence aerospace engineering automation engineering

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Data-Driven Approach to Modeling Sea Clutter Stochastic Differential Equations. IEEE Transactions on Aerospace and Electronic Systems (2024)

Caden J. PiciAsok RaySastry KompellaRam M. Narayanan

systems engineeringdata modelingdata-driven predictionoperational oceanographyaerospace technologyoceanographyaeronauticsdata scienceaerospace engineeringdata-driven sciencedata assimilationmachine learning

Digital Twin–Enabled Health Monitoring of Construction Workers During Robotic Teleoperation. American Society of Civil Engineers eBooks (2024)

Shayan ShayestehAmit OjhaHoutan JebelliAsok Ray

technologywearable technologydigital twinningkinesiologyindustrial ergonomicsteleoperationhealth monitoringtelehealthdigital healthhealth technologyconstruction workers

Parametric Shape Optimization of Pin Fin Arrays Using a Multi-Fidelity Surrogate Model Based Bayesian Method. Applied Thermal Engineering (2024)

Shinjan GhoshSudeepta MondalJayanta S. KapatAsok Ray

engineering optimizationshape optimizationthermal processingmechanical engineeringmaterials engineeringthermal engineeringthermal modelingbayesian methodengineering thermodynamicsmulti-fidelity surrogate modelthermal managementapplied mathematicsparametric shape optimizationengineeringheat transfer

State Identification via Symbolic Time Series Analysis for Reinforcement Learning Control. Journal of Dynamic Systems Measurement and Control (2024)

Chandrachur BhattacharyaAsok Ray

systems engineeringcontrol engineeringstate identificationreinforcement learningcontrol scienceautomatic controlapplied mathematics

Surface Texture Analysis in Polycrystalline Alloys via an Artificial Neural Network. Measurement (2024)

Hassan AlqahtaniAsok Ray

materials sciencesurface sciencemechanical engineeringsurface texture analysistexture analysispolycrystalline alloysartificial neural networkengineering

A Unified Mixed Deep Neural Network for Fatigue Damage Detection in Components With Different Stress Concentrations. Applied Sciences (2023)

Susheel DharmadhikariRiddhiman RautAsok RayAmrita Basak

materials sciencemechanical engineeringapplied physiologymaterials engineeringdeep learningfatigue damage detectionapplied physicsinstrumentation

Convolutional Neural Network for Risk Assessment in Polycrystalline Alloy Structures via Ultrasonic Testing. Fatigue & Fracture of Engineering Materials & Structures (2023)

Hassan AlqahtaniAsok Ray

materials sciencerisk assessmentstructural engineeringconvolutional neural networksmechanical engineeringreliability engineeringmaterials engineeringstructural analysisstructural mechanicspolycrystalline alloy structuresdeep learningmachine learningengineering

Data Fusion and Pattern Classification in Dynamical Systems via Symbolic Time Series Analysis. Journal of Dynamic Systems Measurement and Control (2023)

Xiangyi ChenAsok Ray

data fusionpattern recognitionpattern classificationdata science

Feature Selection of Surface Topography Parameters for Fatigue‐Damage Detection Using Pearson Correlation Method and Neural Network Analysis. Fatigue & Fracture of Engineering Materials & Structures (2023)

Hassan AlqahtaniAsok Ray

materials sciencestructural engineeringmechanical engineeringsurface engineeringmaterials engineeringpearson correlation methodsurface topography parametersstructural mechanicsneural network analysisfatigue-damage detectionengineering

Symbolic Dynamics for Radar Target Maneuver Detection With High Data Rates. IEEE Transactions on Aerospace and Electronic Systems (2023)

Paul G. SingermanSean M. O'RourkeRam M. NarayananAsok RayMuralidhar Rangaswamy

aerospace technologyspace explorationhigh data ratesaerospace engineeringaeronautics

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Asok Ray

University Distinguished Professor of Mechanical Engineering and Mathematics Distinguished Professor of Mechanical Engineering and Mathematics

Pennsylvania State University

Affiliations

Eberly College of Science

Department of Mathematics

Penn State College of Engineering

Mechanical Engineering

Nuclear Engineering

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Asok Ray

Pennsylvania State University

University Distinguished Professor of Mechanical Engineering and Mathematics Distinguished Professor of Mechanical Engineering and Mathematics

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Data-Driven Approach to Modeling Sea Clutter Stochastic Differential Equations. IEEE Transactions on Aerospace and Electronic Systems (2024)

Caden J. PiciAsok RaySastry KompellaRam M. Narayanan

Digital Twin–Enabled Health Monitoring of Construction Workers During Robotic Teleoperation. American Society of Civil Engineers eBooks (2024)

Shayan ShayestehAmit OjhaHoutan JebelliAsok Ray

technologywearable technologydigital twinningkinesiologyindustrial ergonomicsteleoperationhealth monitoringtelehealthdigital healthhealth technologyconstruction workers

Parametric Shape Optimization of Pin Fin Arrays Using a Multi-Fidelity Surrogate Model Based Bayesian Method. Applied Thermal Engineering (2024)

Shinjan GhoshSudeepta MondalJayanta S. KapatAsok Ray

State Identification via Symbolic Time Series Analysis for Reinforcement Learning Control. Journal of Dynamic Systems Measurement and Control (2024)

Chandrachur BhattacharyaAsok Ray

systems engineeringcontrol engineeringstate identificationreinforcement learningcontrol scienceautomatic controlapplied mathematics

Surface Texture Analysis in Polycrystalline Alloys via an Artificial Neural Network. Measurement (2024)

Hassan AlqahtaniAsok Ray

materials sciencesurface sciencemechanical engineeringsurface texture analysistexture analysispolycrystalline alloysartificial neural networkengineering

A Unified Mixed Deep Neural Network for Fatigue Damage Detection in Components With Different Stress Concentrations. Applied Sciences (2023)

Susheel DharmadhikariRiddhiman RautAsok RayAmrita Basak

materials sciencemechanical engineeringapplied physiologymaterials engineeringdeep learningfatigue damage detectionapplied physicsinstrumentation

Convolutional Neural Network for Risk Assessment in Polycrystalline Alloy Structures via Ultrasonic Testing. Fatigue & Fracture of Engineering Materials & Structures (2023)

Hassan AlqahtaniAsok Ray

Data Fusion and Pattern Classification in Dynamical Systems via Symbolic Time Series Analysis. Journal of Dynamic Systems Measurement and Control (2023)

Xiangyi ChenAsok Ray

data fusionpattern recognitionpattern classificationdata science

Hassan AlqahtaniAsok Ray

Symbolic Dynamics for Radar Target Maneuver Detection With High Data Rates. IEEE Transactions on Aerospace and Electronic Systems (2023)

Paul G. SingermanSean M. O'RourkeRam M. NarayananAsok RayMuralidhar Rangaswamy

aerospace technologyspace explorationhigh data ratesaerospace engineeringaeronautics

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Similar Faculty Members

Soumik Sarkar

Institution

Iowa State University

industrial informatics

supervisory control

Costas J. Spanos

Institution

University of California, Berkeley

computer-integrated manufacturing

industrial artificial intelligence

Giorgio Rizzoni

Institution

Ohio State University

system safety

intelligent systems

Krishna R. Pattipati

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smart manufacturing

manufacturing system

Vladik Kreinovich

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University of Texas at El Paso

computer science

applied mathematics

George Vachtsevanos

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Georgia Institute of Technology

fault diagnosis

failure prognosis

Anuradha Annaswamy

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industrial informatics

cyber-physical systems

Masayoshi Tomizuka

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systems engineering

robotics

Junmin Wang

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systems modeling

robotics automation

Feng Lin

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discrete-event systems

hybrid systems